diff options
Diffstat (limited to 'site/datasets/unknown')
| -rw-r--r-- | site/datasets/unknown/casia_webface.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/megaface.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/msceleb.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/vgg_faces.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/youtube_faces.json | 2 |
5 files changed, 5 insertions, 5 deletions
diff --git a/site/datasets/unknown/casia_webface.json b/site/datasets/unknown/casia_webface.json index 91235b6b..bd2164c6 100644 --- a/site/datasets/unknown/casia_webface.json +++ b/site/datasets/unknown/casia_webface.json @@ -1 +1 @@ -{"id": "853bd61bc48a431b9b1c7cab10c603830c488e39", "citations": [{"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "2c052a1c77a3ec2604b3deb702d77c41418c7d3e", "title": "What Is the Challenge for Deep Learning in Unconstrained Face Recognition?", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373863", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00070", "http://doi.org/10.1109/FG.2018.00070"]}, {"id": "2b251294bea1e49f9a646a67e6c57c9d3e1af483", "title": "Learning to generate filters for convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01894.pdf"], "doi": []}, {"id": "f20e0eefd007bc310d2a753ba526d33a8aba812c", "title": "Accurate and robust face recognition from RGB-D images with a deep learning approach", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/116e/c3a1a8225362a3e3e445df45036fae7cadc6.pdf"], "doi": []}, {"id": "2e0d56794379c436b2d1be63e71a215dd67eb2ca", "title": "Improving precision and recall of face recognition in SIPP with combination of modified mean search and LSH", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03872.pdf"], "doi": []}, {"id": "8cd9475a3a1b2bcccf2034ce8f4fe691c57a4889", "title": "Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961789", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.138", "http://doi.org/10.1109/FG.2017.138"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "128d99fbe91b0ee593d70f3e78fe582aaa9f8ded", "title": "Residual Encoder Decoder Network and Adaptive Prior for Face Parsing", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16468", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16468/16271"]}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "10e4172dd4f4a633f10762fc5d4755e61d52dc36", "title": "Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Liu_Learning_Multifunctional_Binary_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Liu_Learning_Multifunctional_Binary_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Learning%20Multifunctional%20Binary%20Codes%20for%20Both%20Category%20and%20Attribute%20Oriented%20Retrieval%20Tasks_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100146", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.663", "http://doi.org/10.1109/CVPR.2017.663"]}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "014b4335d055679bc680a6ceb6f1a264d8ce8a4a", "title": "Are You Sure You Want To Do That? Classification with Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02652.pdf"], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078466", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078466", "http://doi.org/10.1109/AVSS.2017.8078466"]}, {"id": "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "title": "Coordinated Local Metric Learning", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406405", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.56", "http://doi.org/10.1109/ICCVW.2015.56"]}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "02c7740af5540f23a2da23d1769e64a8042ec62e", "title": "Big Data", "year": "2018", "pdf": ["https://ai.arizona.edu/sites/ai/files/MIS510/big_data_-_the_management_revolution_0.pdf", "https://www.bsc.es/ca/printpdf/research-and-development/research-areas/big-data"], "doi": ["http://doi.org/10.1007/978-981-13-2922-7"]}, {"id": "1ef4aac0ebc34e76123f848c256840d89ff728d0", "title": "Rapid Synthesis of Massive Face Sets for Improved Face Recognition", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/augmented_faces/Masietal2017rapid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961797", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.76", "http://doi.org/10.1109/FG.2017.76"]}, {"id": "8699268ee81a7472a0807c1d3b1db0d0ab05f40d", "title": "Channel-Recurrent Autoencoding for Image Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03729.pdf"], "doi": []}, {"id": "4b2b2b496262cc85172c1fa70bfea9dcd2ecf019", "title": "Deep learning and face recognition: the state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1902.03524.pdf"], "doi": []}, {"id": "6278b2586a1240e3184d8d9c26e6efb50e55bc30", "title": "A Compact Deep Learning Model for Robust Facial Expression Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Kuo_A_Compact_Deep_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575457", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00286", "http://doi.org/10.1109/CVPRW.2018.00286"]}, {"id": "ae5e92abd5929ee7f0a5aa1622aa094bac4fae29", "title": "RGB-D Face Recognition via Deep Complementary and Common Feature Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373805", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00012", "http://doi.org/10.1109/FG.2018.00012"]}, {"id": "9e297343da13cf9ba0ad8b5b75c07723136f4885", "title": "Regularizing Face Net for Discrete-valued Pain Regression", "year": "2017", "pdf": [], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494641", "http://doi.org/10.1109/TPAMI.2016.2582166", "https://www.ncbi.nlm.nih.gov/pubmed/27333599", "https://www.wikidata.org/entity/Q36059157"]}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "1280b35e4a20036fcfd82ee09f45a3fca190276f", "title": "Face Verification Based on Feature Transfer via PCA-SVM Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276888", "http://doi.ieeecomputersociety.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166", "http://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166"]}, {"id": "a3ab2a7d596626a25f680b7dc9710ea2d34a8cbb", "title": "Machine Learning in Radiology: Applications Beyond Image Interpretation.", "year": "2018", "pdf": ["https://cerf.radiologie.fr/sites/cerf.radiologie.fr/files/Enseignement/pdf/Machine%20Learning%20in%20Radiology%20Applications%20Beyond%20Image%20Interpretation_Lakhani_JACR%202017.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29158061", "http://doi.org/10.1016/j.jacr.2017.09.044"]}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "title": "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Disentangled_Representation_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.141", "http://doi.org/10.1109/CVPR.2017.141"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "ddf099f0e0631da4a6396a17829160301796151c", "title": "Chen et al . Face Quality Value : Input : Feat -\u2010 5 Features : L 2 R + PKM Model : Feat -\u2010", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ddf0/99f0e0631da4a6396a17829160301796151c.pdf"], "doi": []}, {"id": "2b2896f41480399e7182acfa9466a3f915885387", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "cc47368fe303c6cbda38caf5ac0e1d1c9d7e2a52", "title": "University Classroom Attendance Based on Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089918"]}, {"id": "d0eb3fd1b1750242f3bb39ce9ac27fc8cc7c5af0", "title": "Minimalistic CNN-based ensemble model for gender prediction from face images", "year": "2016", "pdf": ["http://www.eurecom.fr/en/publication/4768/download/mm-publi-4768.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.011"]}, {"id": "050a149051a5d268fcc5539e8b654c2240070c82", "title": "Magisterske\u0301 a doktorske\u0301 studijn\u0131\u0301 programy", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/050a/149051a5d268fcc5539e8b654c2240070c82.pdf"], "doi": []}, {"id": "f3850d8ec9779e8e15da9831ba23d4cdca1dd4ee", "title": "Machine learning assisted optimization of electrochemical properties for Ni-rich cathode materials", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1038/s41598-018-34201-4", "https://www.ncbi.nlm.nih.gov/pubmed/30361533"]}, {"id": "6962505b78d0cec04b992a059cc58870c361c971", "title": "Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.00218.pdf"], "doi": []}, {"id": "fa641327dc5873276f0af453a2caa1634c16f143", "title": "ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition", "year": "2016", "pdf": ["http://sergioescalera.com/wp-content/uploads/2016/05/gesture_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Wan_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789590", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.100", "http://doi.org/10.1109/CVPRW.2016.100"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "01e14d8ffd6767336d50c2b817a7b7744903e567", "title": "Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961839", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.128", "http://doi.org/10.1109/FG.2017.128"]}, {"id": "26ebe98753acec806b7281d085110c06d9cd1e16", "title": "Self-Error-Correcting Convolutional Neural Network for Learning with Noisy Labels", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961730", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.22", "http://doi.org/10.1109/FG.2017.22"]}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "339937141ffb547af8e746718fbf2365cc1570c8", "title": "Facial Emotion Recognition in Real Time", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3399/37141ffb547af8e746718fbf2365cc1570c8.pdf"], "doi": []}, {"id": "ec39e9c21d6e2576f21936b1ecc1574dadaf291e", "title": "Pose-Robust Face Verification by Exploiting Competing Tasks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926713", "http://doi.org/10.1109/WACV.2017.130"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "e7144f5c19848e037bb96e225d1cfd961f82bd9f", "title": "Heterogeneous Face Recognition: Recent Advances in Infrared-to-Visible Matching", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961837", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.126", "http://doi.org/10.1109/FG.2017.126"]}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "91d513af1f667f64c9afc55ea1f45b0be7ba08d4", "title": "Automatic Face Image Quality Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09887.pdf"], "doi": []}, {"id": "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "title": "Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04710.pdf"], "doi": []}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "4268ae436db79c4eee8bc06e9475caff3ff70d57", "title": "Five Principles for Crowd-Source Experiments in Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961814", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.146", "http://doi.org/10.1109/FG.2017.146"]}, {"id": "b12431e61172443c534ea523a4d7407e847b5c5b", "title": "Yu\u0308z Tan\u0131maya Dayal\u0131 Kis\u0327i Bazl\u0131 Test Otomasyonu", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b124/31e61172443c534ea523a4d7407e847b5c5b.pdf"], "doi": []}, {"id": "98c548a4be0d3b62971e75259d7514feab14f884", "title": "Deep generative-contrastive networks for facial expression recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07140.pdf"], "doi": []}, {"id": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "2025392b7ebe267fbe13cb9fcd022ded8f7d1972", "title": "Multi-task Adversarial Network for Disentangled Feature Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578492"]}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "6c40fc9df6588f7cb721537883167eede1b8d369", "title": "3D Face Reconstruction Based on Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089906"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "20e504782951e0c2979d9aec88c76334f7505393", "title": "Robust LSTM-Autoencoders for Face De-Occlusion in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.08534.pdf"], "doi": []}, {"id": "9ca542d744149f0efc8b8aac8289f5e38e6d200c", "title": "Gender and Smile Classification Using Deep Convolutional Neural Networks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016_workshops/w18/papers/Zhang_Gender_and_Smile_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789587", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.97", "http://doi.org/10.1109/CVPRW.2016.97"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "d89cfed36ce8ffdb2097c2ba2dac3e2b2501100d", "title": "Robust Face Recognition via Multimodal Deep Face Representation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00244.pdf"], "doi": []}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"], "doi": []}, {"id": "84c5b45328dee855c4855a104ac9c0558cc8a328", "title": "Conformal Mapping of a 3D Face Representation onto a 2D Image for CNN Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411213", "http://doi.org/10.1109/ICB2018.2018.00029"]}, {"id": "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "title": "Face Search at Scale: 80 Million Gallery", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.07242.pdf"], "doi": []}, {"id": "f0b30a9bb9740c2886d96fc44d6f35b8eacab4f3", "title": "Are You Sure You Want To Do That ? Classification with Interpretable Queries", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f0b3/0a9bb9740c2886d96fc44d6f35b8eacab4f3.pdf"], "doi": []}, {"id": "77d31d2ec25df44781d999d6ff980183093fb3de", "title": "The Multiverse Loss for Robust Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.09033.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "title": "Deep Face Recognition under Eyeglass and Scale Variation Using Extended Siamese Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575869", "http://doi.org/10.1109/ACPR.2017.48"]}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "de0eb358b890d92e8f67592c6e23f0e3b2ba3f66", "title": "Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.01587.pdf"], "doi": []}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "78a11b7d2d7e1b19d92d2afd51bd3624eca86c3c", "title": "Improved Deep Metric Learning with Multi-class N-pair Loss Objective", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/78a1/1b7d2d7e1b19d92d2afd51bd3624eca86c3c.pdf"], "doi": []}, {"id": "62d1a31b8acd2141d3a994f2d2ec7a3baf0e6dc4", "title": "Noise-resistant network: a deep-learning method for face recognition under noise", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62d1/a31b8acd2141d3a994f2d2ec7a3baf0e6dc4.pdf"], "doi": []}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "4aa18f3a1c85f7a09d3b0d6b28c0339199892d60", "title": "The Application of Neural Networks for Facial Landmarking on Mobile Devices", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4aa1/8f3a1c85f7a09d3b0d6b28c0339199892d60.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "3fe269cbe3a15aca4663d7086e0622ec5eb93c2d", "title": "Neural Information Processing", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-04167-0"]}, {"id": "badde061da20510ca74b94818eb726d27ff2f491", "title": "Improving speech embedding using crossmodal transfer learning with audio-visual data", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6992-3"]}, {"id": "eb3066de677f9f6131aab542d9d426aaf50ed2ce", "title": "Deep Transfer Network with 3D Morphable Models for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373860", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00067", "http://doi.org/10.1109/FG.2018.00067"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "d754586d1bed2074824d650305cb361ef2706f44", "title": "Deep convolutional BiLSTM fusion network for facial expression recognition", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-019-01636-3"]}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"], "doi": []}, {"id": "f1280f76933ba8b7f4a6b8662580504f02bb4ab6", "title": "Gender Classification by Deep Learning on Millions of Weakly Labelled Images", "year": "2016", "pdf": ["https://research-information.bristol.ac.uk/files/90114160/Sen_Jia_Gender_Classification_by_Deep_Learning_on_Millions_of_Weakly_Labelled_Images.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7836703", "http://doi.org/10.1109/ICDMW.2016.0072"]}, {"id": "f2004fff215a17ac132310882610ddafe25ba153", "title": "Facial Expression Recognition via Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308363", "http://doi.ieeecomputersociety.org/10.1109/AICCSA.2017.124", "http://doi.org/10.1109/AICCSA.2017.124"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "b6b24dfaf4c9e498ca9b9ee9f82d8d0c5bdb77e9", "title": "Rethinking Feature Distribution for Loss Functions in Image Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579048"]}, {"id": "a1feab9029e49d1a5d4ad511be30bd40a423a1eb", "title": "Effective multiple person recognition in random video sequences using a convolutional neural network", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7323-z"]}, {"id": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "77c7d8012fe4179a814c1241a37a2256361bc1a4", "title": "BGP Face Retrieval Based on Coding Pyramid", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8530228"]}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "011e6146995d5d63c852bd776f782cc6f6e11b7b", "title": "Fast Training of Triplet-Based Deep Binary Embedding Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02844.pdf"], "doi": []}, {"id": "f442a2f2749f921849e22f37e0480ac04a3c3fec", "title": "Critical Features for Face Recognition in Humans and Machines", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f442/a2f2749f921849e22f37e0480ac04a3c3fec.pdf"], "doi": []}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578645"]}, {"id": "0ad4a814b30e096ad0e027e458981f812c835aa0", "title": "Leveraging mid-level deep representations for predicting face attributes in the wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.01827.pdf"], "doi": []}, {"id": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "80097a879fceff2a9a955bf7613b0d3bfa68dc23", "title": "Active Self-Paced Learning for Cost-Effective and Progressive Face Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.03555.pdf"], "doi": []}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "de0ee491d2747a6f3d171f813fe6f5cdb3a27fd6", "title": "FPGA-accelerated deep convolutional neural networks for high throughput and energy efficiency", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1002/cpe.3850"]}, {"id": "09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3", "title": "Face Recognition Based on Densely Connected Convolutional Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499078", "http://doi.org/10.1109/BigMM.2018.8499078"]}, {"id": "72a55554b816b66a865a1ec1b4a5b17b5d3ba784", "title": "Real-Time Face Identification via CNN and Boosted Hashing Forest", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/CVPRW_Vizilter.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Vizilter_Real-Time_Face_Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789515", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.25", "http://doi.org/10.1109/CVPRW.2016.25"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "1f94734847c15fa1da68d4222973950d6b683c9e", "title": "Embedding Label Structures for Fine-Grained Feature Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02895.pdf"], "doi": []}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f", "title": "Comparison of Face Recognition Neural Networks", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8169/5fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f.pdf"], "doi": []}, {"id": "5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f", "title": "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07310.pdf"], "doi": []}, {"id": "7d40e7e5c01bd551edf65902386401e1b8b8014b", "title": "Channel-Level Acceleration of Deep Face Representations", "year": "2015", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/RRR_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303876", "http://doi.org/10.1109/ACCESS.2015.2494536"]}, {"id": "7b455cbb320684f78cd8f2443f14ecf5f50426db", "title": "A Fast and Robust Negative Mining Approach for Enrollment in Face Recognition Systems", "year": "2017", "pdf": ["http://repositorio.unicamp.br/jspui/bitstream/REPOSIP/275553/1/Martins_SamuelBotter_M.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097313", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.33", "http://doi.org/10.1109/SIBGRAPI.2017.33"]}, {"id": "93d11da02205bbc5ae68e521e421f70a4b74a7f7", "title": "Emotion recognition and reaction prediction in videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8234476"]}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014820", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.86", "http://doi.org/10.1109/CVPRW.2017.86"]}]}
\ No newline at end of file +{"id": "853bd61bc48a431b9b1c7cab10c603830c488e39", "citations": [{"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "2c052a1c77a3ec2604b3deb702d77c41418c7d3e", "title": "What Is the Challenge for Deep Learning in Unconstrained Face Recognition?", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373863", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00070", "http://doi.org/10.1109/FG.2018.00070"]}, {"id": "2b251294bea1e49f9a646a67e6c57c9d3e1af483", "title": "Learning to generate filters for convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01894.pdf"], "doi": []}, {"id": "f20e0eefd007bc310d2a753ba526d33a8aba812c", "title": "Accurate and robust face recognition from RGB-D images with a deep learning approach", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/116e/c3a1a8225362a3e3e445df45036fae7cadc6.pdf"], "doi": []}, {"id": "2e0d56794379c436b2d1be63e71a215dd67eb2ca", "title": "Improving precision and recall of face recognition in SIPP with combination of modified mean search and LSH", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03872.pdf"], "doi": []}, {"id": "8cd9475a3a1b2bcccf2034ce8f4fe691c57a4889", "title": "Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961789", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.138", "http://doi.org/10.1109/FG.2017.138"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "128d99fbe91b0ee593d70f3e78fe582aaa9f8ded", "title": "Residual Encoder Decoder Network and Adaptive Prior for Face Parsing", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16468", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16468/16271"]}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "10e4172dd4f4a633f10762fc5d4755e61d52dc36", "title": "Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Liu_Learning_Multifunctional_Binary_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Liu_Learning_Multifunctional_Binary_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Learning%20Multifunctional%20Binary%20Codes%20for%20Both%20Category%20and%20Attribute%20Oriented%20Retrieval%20Tasks_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100146", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.663", "http://doi.org/10.1109/CVPR.2017.663"]}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "014b4335d055679bc680a6ceb6f1a264d8ce8a4a", "title": "Are You Sure You Want To Do That? Classification with Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02652.pdf"], "doi": []}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078466", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078466", "http://doi.org/10.1109/AVSS.2017.8078466"]}, {"id": "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "title": "Coordinated Local Metric Learning", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406405", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.56", "http://doi.org/10.1109/ICCVW.2015.56"]}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "02c7740af5540f23a2da23d1769e64a8042ec62e", "title": "Big Data", "year": "2018", "pdf": ["https://ai.arizona.edu/sites/ai/files/MIS510/big_data_-_the_management_revolution_0.pdf", "https://www.bsc.es/ca/printpdf/research-and-development/research-areas/big-data"], "doi": ["http://doi.org/10.1007/978-981-13-2922-7"]}, {"id": "1ef4aac0ebc34e76123f848c256840d89ff728d0", "title": "Rapid Synthesis of Massive Face Sets for Improved Face Recognition", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/augmented_faces/Masietal2017rapid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961797", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.76", "http://doi.org/10.1109/FG.2017.76"]}, {"id": "8699268ee81a7472a0807c1d3b1db0d0ab05f40d", "title": "Channel-Recurrent Autoencoding for Image Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03729.pdf"], "doi": []}, {"id": "4b2b2b496262cc85172c1fa70bfea9dcd2ecf019", "title": "Deep learning and face recognition: the state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1902.03524.pdf"], "doi": []}, {"id": "6278b2586a1240e3184d8d9c26e6efb50e55bc30", "title": "A Compact Deep Learning Model for Robust Facial Expression Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Kuo_A_Compact_Deep_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575457", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00286", "http://doi.org/10.1109/CVPRW.2018.00286"]}, {"id": "ae5e92abd5929ee7f0a5aa1622aa094bac4fae29", "title": "RGB-D Face Recognition via Deep Complementary and Common Feature Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373805", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00012", "http://doi.org/10.1109/FG.2018.00012"]}, {"id": "9e297343da13cf9ba0ad8b5b75c07723136f4885", "title": "Regularizing Face Net for Discrete-valued Pain Regression", "year": "2017", "pdf": [], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494641", "http://doi.org/10.1109/TPAMI.2016.2582166", "https://www.ncbi.nlm.nih.gov/pubmed/27333599", "https://www.wikidata.org/entity/Q36059157"]}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "1280b35e4a20036fcfd82ee09f45a3fca190276f", "title": "Face Verification Based on Feature Transfer via PCA-SVM Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276888", "http://doi.ieeecomputersociety.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166", "http://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166"]}, {"id": "a3ab2a7d596626a25f680b7dc9710ea2d34a8cbb", "title": "Machine Learning in Radiology: Applications Beyond Image Interpretation.", "year": "2018", "pdf": ["https://cerf.radiologie.fr/sites/cerf.radiologie.fr/files/Enseignement/pdf/Machine%20Learning%20in%20Radiology%20Applications%20Beyond%20Image%20Interpretation_Lakhani_JACR%202017.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29158061", "http://doi.org/10.1016/j.jacr.2017.09.044"]}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "title": "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Disentangled_Representation_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.141", "http://doi.org/10.1109/CVPR.2017.141"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "ddf099f0e0631da4a6396a17829160301796151c", "title": "Chen et al . Face Quality Value : Input : Feat -\u2010 5 Features : L 2 R + PKM Model : Feat -\u2010", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ddf0/99f0e0631da4a6396a17829160301796151c.pdf"], "doi": []}, {"id": "2b2896f41480399e7182acfa9466a3f915885387", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "cc47368fe303c6cbda38caf5ac0e1d1c9d7e2a52", "title": "University Classroom Attendance Based on Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089918"]}, {"id": "d0eb3fd1b1750242f3bb39ce9ac27fc8cc7c5af0", "title": "Minimalistic CNN-based ensemble model for gender prediction from face images", "year": "2016", "pdf": ["http://www.eurecom.fr/en/publication/4768/download/mm-publi-4768.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.011"]}, {"id": "050a149051a5d268fcc5539e8b654c2240070c82", "title": "Magisterske\u0301 a doktorske\u0301 studijn\u0131\u0301 programy", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/050a/149051a5d268fcc5539e8b654c2240070c82.pdf"], "doi": []}, {"id": "f3850d8ec9779e8e15da9831ba23d4cdca1dd4ee", "title": "Machine learning assisted optimization of electrochemical properties for Ni-rich cathode materials", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1038/s41598-018-34201-4", "https://www.ncbi.nlm.nih.gov/pubmed/30361533"]}, {"id": "6962505b78d0cec04b992a059cc58870c361c971", "title": "Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.00218.pdf"], "doi": []}, {"id": "fa641327dc5873276f0af453a2caa1634c16f143", "title": "ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition", "year": "2016", "pdf": ["http://sergioescalera.com/wp-content/uploads/2016/05/gesture_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Wan_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789590", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.100", "http://doi.org/10.1109/CVPRW.2016.100"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "01e14d8ffd6767336d50c2b817a7b7744903e567", "title": "Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961839", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.128", "http://doi.org/10.1109/FG.2017.128"]}, {"id": "26ebe98753acec806b7281d085110c06d9cd1e16", "title": "Self-Error-Correcting Convolutional Neural Network for Learning with Noisy Labels", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961730", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.22", "http://doi.org/10.1109/FG.2017.22"]}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "339937141ffb547af8e746718fbf2365cc1570c8", "title": "Facial Emotion Recognition in Real Time", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3399/37141ffb547af8e746718fbf2365cc1570c8.pdf"], "doi": []}, {"id": "ec39e9c21d6e2576f21936b1ecc1574dadaf291e", "title": "Pose-Robust Face Verification by Exploiting Competing Tasks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926713", "http://doi.org/10.1109/WACV.2017.130"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "e7144f5c19848e037bb96e225d1cfd961f82bd9f", "title": "Heterogeneous Face Recognition: Recent Advances in Infrared-to-Visible Matching", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961837", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.126", "http://doi.org/10.1109/FG.2017.126"]}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "91d513af1f667f64c9afc55ea1f45b0be7ba08d4", "title": "Automatic Face Image Quality Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09887.pdf"], "doi": []}, {"id": "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "title": "Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04710.pdf"], "doi": []}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "4268ae436db79c4eee8bc06e9475caff3ff70d57", "title": "Five Principles for Crowd-Source Experiments in Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961814", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.146", "http://doi.org/10.1109/FG.2017.146"]}, {"id": "b12431e61172443c534ea523a4d7407e847b5c5b", "title": "Yu\u0308z Tan\u0131maya Dayal\u0131 Kis\u0327i Bazl\u0131 Test Otomasyonu", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b124/31e61172443c534ea523a4d7407e847b5c5b.pdf"], "doi": []}, {"id": "98c548a4be0d3b62971e75259d7514feab14f884", "title": "Deep generative-contrastive networks for facial expression recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07140.pdf"], "doi": []}, {"id": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "2025392b7ebe267fbe13cb9fcd022ded8f7d1972", "title": "Multi-task Adversarial Network for Disentangled Feature Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578492"]}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "6c40fc9df6588f7cb721537883167eede1b8d369", "title": "3D Face Reconstruction Based on Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089906"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "20e504782951e0c2979d9aec88c76334f7505393", "title": "Robust LSTM-Autoencoders for Face De-Occlusion in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.08534.pdf"], "doi": []}, {"id": "9ca542d744149f0efc8b8aac8289f5e38e6d200c", "title": "Gender and Smile Classification Using Deep Convolutional Neural Networks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016_workshops/w18/papers/Zhang_Gender_and_Smile_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789587", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.97", "http://doi.org/10.1109/CVPRW.2016.97"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "d89cfed36ce8ffdb2097c2ba2dac3e2b2501100d", "title": "Robust Face Recognition via Multimodal Deep Face Representation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00244.pdf"], "doi": []}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"], "doi": []}, {"id": "84c5b45328dee855c4855a104ac9c0558cc8a328", "title": "Conformal Mapping of a 3D Face Representation onto a 2D Image for CNN Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411213", "http://doi.org/10.1109/ICB2018.2018.00029"]}, {"id": "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "title": "Face Search at Scale: 80 Million Gallery", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.07242.pdf"], "doi": []}, {"id": "f0b30a9bb9740c2886d96fc44d6f35b8eacab4f3", "title": "Are You Sure You Want To Do That ? Classification with Interpretable Queries", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f0b3/0a9bb9740c2886d96fc44d6f35b8eacab4f3.pdf"], "doi": []}, {"id": "77d31d2ec25df44781d999d6ff980183093fb3de", "title": "The Multiverse Loss for Robust Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.09033.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "title": "Deep Face Recognition under Eyeglass and Scale Variation Using Extended Siamese Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575869", "http://doi.org/10.1109/ACPR.2017.48"]}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "de0eb358b890d92e8f67592c6e23f0e3b2ba3f66", "title": "Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.01587.pdf"], "doi": []}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "78a11b7d2d7e1b19d92d2afd51bd3624eca86c3c", "title": "Improved Deep Metric Learning with Multi-class N-pair Loss Objective", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/78a1/1b7d2d7e1b19d92d2afd51bd3624eca86c3c.pdf"], "doi": []}, {"id": "62d1a31b8acd2141d3a994f2d2ec7a3baf0e6dc4", "title": "Noise-resistant network: a deep-learning method for face recognition under noise", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62d1/a31b8acd2141d3a994f2d2ec7a3baf0e6dc4.pdf"], "doi": []}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "4aa18f3a1c85f7a09d3b0d6b28c0339199892d60", "title": "The Application of Neural Networks for Facial Landmarking on Mobile Devices", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4aa1/8f3a1c85f7a09d3b0d6b28c0339199892d60.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "3fe269cbe3a15aca4663d7086e0622ec5eb93c2d", "title": "Neural Information Processing", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-04167-0"]}, {"id": "badde061da20510ca74b94818eb726d27ff2f491", "title": "Improving speech embedding using crossmodal transfer learning with audio-visual data", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6992-3"]}, {"id": "eb3066de677f9f6131aab542d9d426aaf50ed2ce", "title": "Deep Transfer Network with 3D Morphable Models for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373860", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00067", "http://doi.org/10.1109/FG.2018.00067"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "d754586d1bed2074824d650305cb361ef2706f44", "title": "Deep convolutional BiLSTM fusion network for facial expression recognition", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-019-01636-3"]}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"], "doi": []}, {"id": "f1280f76933ba8b7f4a6b8662580504f02bb4ab6", "title": "Gender Classification by Deep Learning on Millions of Weakly Labelled Images", "year": "2016", "pdf": ["https://research-information.bristol.ac.uk/files/90114160/Sen_Jia_Gender_Classification_by_Deep_Learning_on_Millions_of_Weakly_Labelled_Images.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7836703", "http://doi.org/10.1109/ICDMW.2016.0072"]}, {"id": "f2004fff215a17ac132310882610ddafe25ba153", "title": "Facial Expression Recognition via Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308363", "http://doi.ieeecomputersociety.org/10.1109/AICCSA.2017.124", "http://doi.org/10.1109/AICCSA.2017.124"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "b6b24dfaf4c9e498ca9b9ee9f82d8d0c5bdb77e9", "title": "Rethinking Feature Distribution for Loss Functions in Image Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579048"]}, {"id": "a1feab9029e49d1a5d4ad511be30bd40a423a1eb", "title": "Effective multiple person recognition in random video sequences using a convolutional neural network", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7323-z"]}, {"id": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "77c7d8012fe4179a814c1241a37a2256361bc1a4", "title": "BGP Face Retrieval Based on Coding Pyramid", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8530228"]}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "011e6146995d5d63c852bd776f782cc6f6e11b7b", "title": "Fast Training of Triplet-Based Deep Binary Embedding Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02844.pdf"], "doi": []}, {"id": "f442a2f2749f921849e22f37e0480ac04a3c3fec", "title": "Critical Features for Face Recognition in Humans and Machines", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f442/a2f2749f921849e22f37e0480ac04a3c3fec.pdf"], "doi": []}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578645"]}, {"id": "0ad4a814b30e096ad0e027e458981f812c835aa0", "title": "Leveraging mid-level deep representations for predicting face attributes in the wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.01827.pdf"], "doi": []}, {"id": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "80097a879fceff2a9a955bf7613b0d3bfa68dc23", "title": "Active Self-Paced Learning for Cost-Effective and Progressive Face Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.03555.pdf"], "doi": []}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "de0ee491d2747a6f3d171f813fe6f5cdb3a27fd6", "title": "FPGA-accelerated deep convolutional neural networks for high throughput and energy efficiency", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1002/cpe.3850"]}, {"id": "09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3", "title": "Face Recognition Based on Densely Connected Convolutional Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499078", "http://doi.org/10.1109/BigMM.2018.8499078"]}, {"id": "72a55554b816b66a865a1ec1b4a5b17b5d3ba784", "title": "Real-Time Face Identification via CNN and Boosted Hashing Forest", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/CVPRW_Vizilter.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Vizilter_Real-Time_Face_Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789515", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.25", "http://doi.org/10.1109/CVPRW.2016.25"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "1f94734847c15fa1da68d4222973950d6b683c9e", "title": "Embedding Label Structures for Fine-Grained Feature Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02895.pdf"], "doi": []}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f", "title": "Comparison of Face Recognition Neural Networks", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8169/5fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f.pdf"], "doi": []}, {"id": "5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f", "title": "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07310.pdf"], "doi": []}, {"id": "7d40e7e5c01bd551edf65902386401e1b8b8014b", "title": "Channel-Level Acceleration of Deep Face Representations", "year": "2015", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/RRR_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303876", "http://doi.org/10.1109/ACCESS.2015.2494536"]}, {"id": "7b455cbb320684f78cd8f2443f14ecf5f50426db", "title": "A Fast and Robust Negative Mining Approach for Enrollment in Face Recognition Systems", "year": "2017", "pdf": ["http://repositorio.unicamp.br/jspui/bitstream/REPOSIP/275553/1/Martins_SamuelBotter_M.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097313", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.33", "http://doi.org/10.1109/SIBGRAPI.2017.33"]}, {"id": "93d11da02205bbc5ae68e521e421f70a4b74a7f7", "title": "Emotion recognition and reaction prediction in videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8234476"]}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014820", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.86", "http://doi.org/10.1109/CVPRW.2017.86"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/megaface.json b/site/datasets/unknown/megaface.json index 3b2c2f34..d18c1a09 100644 --- a/site/datasets/unknown/megaface.json +++ b/site/datasets/unknown/megaface.json @@ -1 +1 @@ -{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "citations": [{"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "9a10845115794117485fc84f9b9e6ada2a7d2b00", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03999.pdf"], "doi": []}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "4e1a65f3c3d9cfeecab898affbe0b47a9b6c9157", "title": "DIY Human Action Dataset Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575353"]}, {"id": "2c75658b080a9baaac20db39af86016ffa36f6f0", "title": "Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578977"]}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"], "doi": []}, {"id": "934f69d038721540c96093cae634573b89d7d714", "title": "DeSTNet : Densely Fused Spatial Transformer Networks 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/934f/69d038721540c96093cae634573b89d7d714.pdf"], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "d2eb1079552fb736e3ba5e494543e67620832c52", "title": "DeSTNet: Densely Fused Spatial Transformer Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04050.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "title": "Ongoing face recognition vendor test (FRVT) part 2:: identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5cfe/f7aedc2651d7754911a7a5cf9ee4edbe876a.pdf"], "doi": []}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "2b2896f41480399e7182acfa9466a3f915885387", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "1a6a5a33aa27e44b80b51d0bbc26734a7fc2cccf", "title": "Overview of research on facial ageing using the FG-NET ageing database", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2014.0053"]}, {"id": "ad8e7b7349e15c4592aa2c18ce79f77671084781", "title": "Fast Face Image Synthesis With Minimal Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658792"]}, {"id": "eb4be3c7711935c936cb6755e0873cb1492af71e", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "16fc85bc7dd8c86fa87667f4de9b324b8584b3f4", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10974.pdf"], "doi": []}, {"id": "6a32c75f12f804bf0d6062240d472fa3dc998e1a", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b61e8a314073c3550455e93a55c98e19afc30ee1", "title": "Loss Decomposition for Fast Learning in Large Output Spaces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b61e/8a314073c3550455e93a55c98e19afc30ee1.pdf"], "doi": []}, {"id": "13b2bc8101a2a7a0c95412c48f40ef95e798e9fb", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "4d3fbeb69ee1207d47b182dd88bdd82791f1c17d", "title": "Performance Comparison of Face Detection and Recognition Algorithms", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4d3f/beb69ee1207d47b182dd88bdd82791f1c17d.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "citations": [{"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "9a10845115794117485fc84f9b9e6ada2a7d2b00", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03999.pdf"], "doi": []}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "4e1a65f3c3d9cfeecab898affbe0b47a9b6c9157", "title": "DIY Human Action Dataset Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575353"]}, {"id": "2c75658b080a9baaac20db39af86016ffa36f6f0", "title": "Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578977"]}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"], "doi": []}, {"id": "934f69d038721540c96093cae634573b89d7d714", "title": "DeSTNet : Densely Fused Spatial Transformer Networks 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/934f/69d038721540c96093cae634573b89d7d714.pdf"], "doi": []}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "d2eb1079552fb736e3ba5e494543e67620832c52", "title": "DeSTNet: Densely Fused Spatial Transformer Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04050.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "title": "Ongoing face recognition vendor test (FRVT) part 2:: identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5cfe/f7aedc2651d7754911a7a5cf9ee4edbe876a.pdf"], "doi": []}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "2b2896f41480399e7182acfa9466a3f915885387", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "1a6a5a33aa27e44b80b51d0bbc26734a7fc2cccf", "title": "Overview of research on facial ageing using the FG-NET ageing database", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2014.0053"]}, {"id": "ad8e7b7349e15c4592aa2c18ce79f77671084781", "title": "Fast Face Image Synthesis With Minimal Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658792"]}, {"id": "eb4be3c7711935c936cb6755e0873cb1492af71e", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "16fc85bc7dd8c86fa87667f4de9b324b8584b3f4", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10974.pdf"], "doi": []}, {"id": "6a32c75f12f804bf0d6062240d472fa3dc998e1a", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b61e8a314073c3550455e93a55c98e19afc30ee1", "title": "Loss Decomposition for Fast Learning in Large Output Spaces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b61e/8a314073c3550455e93a55c98e19afc30ee1.pdf"], "doi": []}, {"id": "13b2bc8101a2a7a0c95412c48f40ef95e798e9fb", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "4d3fbeb69ee1207d47b182dd88bdd82791f1c17d", "title": "Performance Comparison of Face Detection and Recognition Algorithms", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4d3f/beb69ee1207d47b182dd88bdd82791f1c17d.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/msceleb.json b/site/datasets/unknown/msceleb.json index 288c20b8..7040bfc1 100644 --- a/site/datasets/unknown/msceleb.json +++ b/site/datasets/unknown/msceleb.json @@ -1 +1 @@ -{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "citations": [{"id": "3dc522a6576c3475e4a166377cbbf4ba389c041f", "title": "The iNaturalist Challenge 2017 Dataset.", "year": "2017", "pdf": [], "doi": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397018", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00062", "http://doi.org/10.1109/MIPR.2018.00062"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "779904cb019c9d622b90948c99aded91cab9524a", "title": "Facial-based Intrusion Detection System with Deep Learning in Embedded Devices", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3290598"]}, {"id": "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "title": "ROC-GAN: ROBUST CONDITIONAL GAN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4f5/8d7fc87a9c276965e604fbe83592bae7f4e5.pdf"], "doi": []}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373823", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00030", "http://doi.org/10.1109/FG.2018.00030"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "4a56d3240a924240c2392c0d5dea8715f6715277", "title": "Under review as a conference paper at ICLR 2019 Sampled Latents D iscrim inator G enerator Real Images Real or Fake ? Generated Images Contrastive Loss Pull Push", "year": "", "pdf": ["https://pdfs.semanticscholar.org/4a56/d3240a924240c2392c0d5dea8715f6715277.pdf"], "doi": []}, {"id": "eb526174fa071345ff7b1fad1fad240cd943a6d7", "title": "Deeply vulnerable: a study of the robustness of face recognition to presentation attacks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb52/6174fa071345ff7b1fad1fad240cd943a6d7.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"], "doi": []}, {"id": "5ec94635977929ccd1e2a8b6a0138868e6ac0543", "title": "The iNaturalist Species Classification and Detection Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579012"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "5f64a2a9b6b3d410dd60dc2af4a58a428c5d85f9", "title": "Scalable Object Detection for Stylized Objects", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09822.pdf"], "doi": []}, {"id": "8509abbde2f4b42dc26a45cafddcccb2d370712f", "title": "A way to improve precision of face recognition in SIPP without retrain of the deep neural network model", "year": "2017", "pdf": [], "doi": []}, {"id": "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "title": "Arbitrary Facial Attribute Editing: Only Change What You Want", "year": "2017", "pdf": [], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "title": "Probabilistic Knowledge Transfer for Deep Representation Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "3e3227c8e9f44593d2499f4d1302575c77977b2e", "title": "Facial Expression Recognition Using a Large Out-of-Context Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347112", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00012", "http://doi.org/10.1109/WACVW.2018.00012"]}, {"id": "7b7d29d7e312785827a4d2231b71b4e35096a01c", "title": "MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.2352/ISSN.2470-1173.2016.11.IMAWM-463"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "0bfee28960fe3318600e3540ef8cdc6cbe9eeed3", "title": "Squeeze-and-Excitation Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578843"]}, {"id": "d98476b475679db68431654be5eaadaa86aee9ff", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "00f17b623cea39b09a543b0380e9e1291035d956", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "4e727474c8b28bcac124d33f2ad6b9eb151cf9fc", "title": "APA: Adaptive Pose Alignment for Pose-Invariant Face Recognition", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8620989"]}, {"id": "e89cf011bb543137b961807924e0b765d536aa98", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "4da4642ac4c1fcfbecd622dad485307b8d30ed2b", "title": "Deep representation for partially occluded face verification", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0379-2"], "doi": ["https://doi.org/10.1186/s13640-018-0379-2"]}, {"id": "20a64c3d0d2108bc5fc7b0bbd11ad941734d5f2b", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8565895"]}, {"id": "87f7dcc5668278fcd7c9461352aa68463005b3f0", "title": "Large-Scale Bisample Learning on ID Versus Spot Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "faa27bfb44f775975f40900457df73587164f4fe", "title": "UMDFaces: An annotated face dataset for training deep networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/btas.2017.8272731"]}]}
\ No newline at end of file +{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "citations": [{"id": "3dc522a6576c3475e4a166377cbbf4ba389c041f", "title": "The iNaturalist Challenge 2017 Dataset.", "year": "2017", "pdf": [], "doi": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397018", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00062", "http://doi.org/10.1109/MIPR.2018.00062"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "779904cb019c9d622b90948c99aded91cab9524a", "title": "Facial-based Intrusion Detection System with Deep Learning in Embedded Devices", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3290598"]}, {"id": "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "title": "ROC-GAN: ROBUST CONDITIONAL GAN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4f5/8d7fc87a9c276965e604fbe83592bae7f4e5.pdf"], "doi": []}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373823", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00030", "http://doi.org/10.1109/FG.2018.00030"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "4a56d3240a924240c2392c0d5dea8715f6715277", "title": "Under review as a conference paper at ICLR 2019 Sampled Latents D iscrim inator G enerator Real Images Real or Fake ? Generated Images Contrastive Loss Pull Push", "year": "", "pdf": ["https://pdfs.semanticscholar.org/4a56/d3240a924240c2392c0d5dea8715f6715277.pdf"], "doi": []}, {"id": "eb526174fa071345ff7b1fad1fad240cd943a6d7", "title": "Deeply vulnerable: a study of the robustness of face recognition to presentation attacks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb52/6174fa071345ff7b1fad1fad240cd943a6d7.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"], "doi": []}, {"id": "5ec94635977929ccd1e2a8b6a0138868e6ac0543", "title": "The iNaturalist Species Classification and Detection Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579012"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "5f64a2a9b6b3d410dd60dc2af4a58a428c5d85f9", "title": "Scalable Object Detection for Stylized Objects", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09822.pdf"], "doi": []}, {"id": "8509abbde2f4b42dc26a45cafddcccb2d370712f", "title": "A way to improve precision of face recognition in SIPP without retrain of the deep neural network model", "year": "2017", "pdf": [], "doi": []}, {"id": "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "title": "Arbitrary Facial Attribute Editing: Only Change What You Want", "year": "2017", "pdf": [], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "title": "Probabilistic Knowledge Transfer for Deep Representation Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "3e3227c8e9f44593d2499f4d1302575c77977b2e", "title": "Facial Expression Recognition Using a Large Out-of-Context Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347112", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00012", "http://doi.org/10.1109/WACVW.2018.00012"]}, {"id": "7b7d29d7e312785827a4d2231b71b4e35096a01c", "title": "MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.2352/ISSN.2470-1173.2016.11.IMAWM-463"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "0bfee28960fe3318600e3540ef8cdc6cbe9eeed3", "title": "Squeeze-and-Excitation Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578843"]}, {"id": "d98476b475679db68431654be5eaadaa86aee9ff", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "e89cf011bb543137b961807924e0b765d536aa98", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "4da4642ac4c1fcfbecd622dad485307b8d30ed2b", "title": "Deep representation for partially occluded face verification", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0379-2"], "doi": ["https://doi.org/10.1186/s13640-018-0379-2"]}, {"id": "20a64c3d0d2108bc5fc7b0bbd11ad941734d5f2b", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8565895"]}, {"id": "faa27bfb44f775975f40900457df73587164f4fe", "title": "UMDFaces: An annotated face dataset for training deep networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/btas.2017.8272731"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/vgg_faces.json b/site/datasets/unknown/vgg_faces.json index 8b2308ef..1db33708 100644 --- a/site/datasets/unknown/vgg_faces.json +++ b/site/datasets/unknown/vgg_faces.json @@ -1 +1 @@ -{"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "citations": [{"id": "6aef8eeff5f532dcdad95043ba464720be664ab8", "title": "Computer vision for assistive technologies", "year": "2017", "pdf": ["http://cvrr.ucsd.edu/publications/2016/ComputerVisionforAssistiveTech-cviu2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.001"]}, {"id": "ac12ba5bf81de83991210b4cd95b4ad048317681", "title": "Combining Deep Facial and Ambient Features for First Impression Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac12/ba5bf81de83991210b4cd95b4ad048317681.pdf"], "doi": []}, {"id": "4f53f80cc0d11beb3a086b98ba8ebaed6ec688de", "title": "Task Specific Networks for Identity and Face Variation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373840", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00047", "http://doi.org/10.1109/FG.2018.00047"]}, {"id": "c6fdbdbbbc7642daae22df0b7812e78d0647afb3", "title": "Unsupervised feature learning with C-SVDDNet", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.7259.pdf"], "doi": []}, {"id": "70ec156f7e6de0275c7e4e95e35f1bc1e92e29b3", "title": "Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.04662.pdf"], "doi": []}, {"id": "271fbc4c09b3f2eb9f56dc2bbac89262b3bc083d", "title": "Domain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01374.pdf"], "doi": []}, {"id": "98ba5933d7fe9fec0f3b39d7072662007ca6a57e", "title": "ExprGAN: Facial Expression Editing With Controllable Expression Intensity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03842.pdf"], "doi": []}, {"id": "203fcd66c043e44fefd783b8f54105f0a577fc25", "title": "Analyzing Content and Customer Engagement in Social Media with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/203f/cd66c043e44fefd783b8f54105f0a577fc25.pdf"], "doi": []}, {"id": "5c35ac04260e281141b3aaa7bbb147032c887f0c", "title": "Face Detection and Tracking Control with Omni Car", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c35/ac04260e281141b3aaa7bbb147032c887f0c.pdf"], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "title": "Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05675.pdf"], "doi": []}, {"id": "0ebc58bb5d517db0111f3565c4eb378d93dad908", "title": "Seeing Through Noise: Speaker Separation and Enhancement using Visually-derived Speech", "year": "2017", "pdf": [], "doi": []}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078466", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078466", "http://doi.org/10.1109/AVSS.2017.8078466"]}, {"id": "19075e854e29edce89a1cb39167eb1af06b86fe5", "title": "GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Duan_GraphBit_Bitwise_Interaction_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578961", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00863", "http://doi.org/10.1109/CVPR.2018.00863"]}, {"id": "dd888fd4f6d04623a34fc2286ff1e26280c2f0f0", "title": "Evaluating a Convolutional Neural Network on Short-Wave Infra-Red Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347108", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00008", "http://doi.org/10.1109/WACVW.2018.00008"]}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "title": "Face recognition in video surveillance from a single reference sample through domain adaptation", "year": "2017", "pdf": [], "doi": []}, {"id": "2b507f659b341ed0f23106446de8e4322f4a3f7e", "title": "Deep Identity-aware Transfer of Facial Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05586.pdf"], "doi": []}, {"id": "13831e47759e11f8cc6c77fa64ad34272b409b34", "title": "Compressing deep neural networks for efficient visual inference", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019465", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019465", "http://doi.org/10.1109/ICME.2017.8019465"]}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "11aa92ecea8674138c375d2bfea3ddc4f5811b45", "title": "Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11392.pdf"], "doi": []}, {"id": "8935ffe454758e2e5def0b5190de6e28c350b3b8", "title": "Learning to Reconstruct Face Geometries Research", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea06/abd83c491877f0ce04cc7780ce068578f282.pdf"], "doi": []}, {"id": "b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "title": "Selfie Detection by Synergy-Constraint Based Convolutional Neural Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04357.pdf"], "doi": []}, {"id": "9ea992f009492888c482d5f4006281eaa8b758e7", "title": "X2Face: A Network for Controlling Face Generation Using Images, Audio, and Pose Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10550.pdf"], "doi": []}, {"id": "81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f", "title": "Comparison of Face Recognition Neural Networks", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8169/5fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f.pdf"], "doi": []}, {"id": "f94867160e0885bc397892e4db56fa7ce9ebc83a", "title": "Visualizing and Quantifying Discriminative Features for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373806", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00013", "http://doi.org/10.1109/FG.2018.00013"]}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "8191f76d9df5c59186859c4834026c8e0fb42922", "title": "Deep Semantic Face Deblurring", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578960"]}, {"id": "bb6801a2e7e3f319d6dc72a4ab5b4d16919d074d", "title": "Continuous Real-Time Vehicle Driver Authentication Using Convolutional Neural Network Based Face Recognition", "year": "2018", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/derman18hbu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373885", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00092", "http://doi.org/10.1109/FG.2018.00092"]}, {"id": "3929ff77805bc02993b187a6019dbed4f662d59c", "title": "Pose Overcomplete Automatic Registration Method for Video Based Robust Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8221077"]}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.pdf"], "doi": []}, {"id": "d041c8cb05a5555046f6e62a4efbb964fb560c31", "title": "Generating faces for affect analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05027.pdf"], "doi": []}, {"id": "eb3066de677f9f6131aab542d9d426aaf50ed2ce", "title": "Deep Transfer Network with 3D Morphable Models for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373860", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00067", "http://doi.org/10.1109/FG.2018.00067"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "710b7a0c45ca6ba84768025ed1a02804a9530ea9", "title": "Illumination invariant single face image recognition under heterogeneous lighting condition", "year": "2017", "pdf": ["http://isee.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Illumination%20Invariant%20Single%20Face%20Image%20Recognition%20under%20Heterogeneous%20Lighting%20Condition.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.029"]}, {"id": "e568236493c3606ecd8c576a62540545aed1c170", "title": "Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05155.pdf"], "doi": []}, {"id": "7f3a73babe733520112c0199ff8d26ddfc7038a0", "title": "Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f3a/73babe733520112c0199ff8d26ddfc7038a0.pdf"], "doi": []}, {"id": "c0be23ae7f327f9415e583aee1936b9932c9b58b", "title": "Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05476.pdf"], "doi": []}, {"id": "49fdafef327069516d887d8e69b5e96c983c3dd0", "title": "Face Retrieval in Video Sequences Using a Single Face Sample", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227433", "http://doi.org/10.1109/DICTA.2017.8227433"]}, {"id": "0f4dfdeca316a5d27d61ab6bcdf907cd44686941", "title": "Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images", "year": "2016", "pdf": ["http://vbn.aau.dk/files/245132512/FFER_Pain_Super_Resolution.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-56687-0_13"]}, {"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "ca8ba835d8ebcc2d95d166ce34e051821367928f", "title": "Feature Vector Compression Based on Least Error Quantization", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/Vector_Compression.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Kawahara_Feature_Vector_Compression_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789508", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.18", "http://doi.org/10.1109/CVPRW.2016.18"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "52a9f957f776c8b3d913cfcd20452b9e31c27845", "title": "OPML: A one-pass closed-form solution for online metric learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09178.pdf"], "doi": []}, {"id": "25a784f7f8c94c42821ee078587fc38dffcd00a4", "title": "Robust Face Detection via Learning Small Faces on Hard Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11662.pdf"], "doi": []}, {"id": "b72eebffe697008048781ab7b768e0c96e52236a", "title": "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Discriminative_Covariance_Oriented_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wang_Discriminative_Covariance_Oriented_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Discriminative%20Covariance%20Oriented%20Representation%20Learning%20for%20Face%20Recognition%20with%20Image%20Sets_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100092", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.609", "http://doi.org/10.1109/CVPR.2017.609"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "1a31192ac79d0eccef596f93d6170117a0111396", "title": "Image Based Facial Micro-Expression Recognition Using Deep Learning on Small Datasets", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227443", "http://doi.org/10.1109/DICTA.2017.8227443"]}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "7c86f71de716a297950dc46f45152e03bfbc475d", "title": "Asymmetric Joint Learning for Heterogeneous Face Recognition", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16096", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16096/16249"]}, {"id": "ff3a89da1140c7d75586527002f9fd28cbfb04b6", "title": "Strengths and weaknesses of deep learning models for face recognition against image degradations", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0083"]}, {"id": "e83b017eaedfbf19d598799d8a1884c57c634782", "title": "GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition with Generalization to Unseen Categories", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575553"]}, {"id": "c4da6de4135a67c1c34ca5432224a2e91de71a17", "title": "Facial Recognition via Transfer Learning: Fine-Tuning Keras_vggface", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560856"]}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "title": "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Rao_Attention-Aware_Deep_Reinforcement_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237686", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.424", "http://doi.org/10.1109/ICCV.2017.424"]}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "4560491820e0ee49736aea9b81d57c3939a69e12", "title": "Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04008.pdf"], "doi": []}, {"id": "3555bdf6acee09ec7eb08b891a0f30b82c1b6482", "title": "Soft-Margin Learning for Multiple Feature-Kernel Combinations with Domain Adaptation, for Recognition in Surveillance Face Datasets", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/Soft-Margin_Learning.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Banerjee_Soft-Margin_Learning_for_CVPR_2016_paper.pdf", "https://arxiv.org/pdf/1610.01374v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789526", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.36", "http://doi.org/10.1109/CVPRW.2016.36"]}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.026"]}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"], "doi": []}, {"id": "7a16f37ecccca4f9703ce190dc596149b4ccc8d2", "title": "A Deep Cascade Network for Unaligned Face Attribute Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03851.pdf"], "doi": []}, {"id": "dbc04694ef17c83bb12b3ad34da6092eab68ae68", "title": "Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.04423.pdf"], "doi": []}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "49484ace2786445c2181d2f2975ec3ce34f9ed6d", "title": "Online Attention for Interpretable Conflict Estimation in Political Debates", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373855", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00062", "http://doi.org/10.1109/FG.2018.00062"]}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "5b3f345f1e3ff54e088b8d7ca2f831fd34dcb80a", "title": "Face Painting: querying art with photos", "year": "2015", "pdf": ["http://www.bmva.org/bmvc/2015/papers/paper065/abstract065.pdf", "http://www.bmva.org/bmvc/2015/papers/paper065/paper065.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Crowley15/crowley15.pdf", "https://www.research.ed.ac.uk/portal/files/28430753/crowley15.pdf"], "doi": ["https://doi.org/10.5244/C.29.65"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "ffcb92719dcd993dda292ca82d4585950ea22ac9", "title": "Handwritten Digit Recognition Using Convolutional Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ffcb/92719dcd993dda292ca82d4585950ea22ac9.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "c81326a1ecb7e71ae38a665779b8d959d3938d1a", "title": "A Novel Neural Network Model Specified for Representing Logical Relations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00580.pdf"], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "0171c74925a61d5df6732357fce000735bc73bf9", "title": "Analysis and Evaluation of Algorithms for Newborn Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0171/c74925a61d5df6732357fce000735bc73bf9.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "e83753a708e3bc8072851fe97aa6929515c518ec", "title": "Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546745"]}, {"id": "b2b535118c5c4dfcc96f547274cdc05dde629976", "title": "Automatic Recognition of Facial Displays of Unfelt Emotions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04061.pdf"], "doi": []}, {"id": "430cc88c6c73ab178c0e656b246f8f74d51c3a7f", "title": "You Will Succeed or Not? Matching Prediction in a Marriage Consulting Service", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966728", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.11", "http://doi.org/10.1109/BigMM.2017.11"]}, {"id": "f793970c7b57c3470561e9830cebbdd590a38bf4", "title": "Photo-realistic Facial Texture Transfer", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04306.pdf"], "doi": []}, {"id": "3e9405f88d82f70348317b42828b54718f60dc13", "title": "Thermal to Visible Synthesis of Face Images Using Multiple Regions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354114"]}, {"id": "eff063c99ebed728582a5895e312f660e8fde5f7", "title": "Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.04656.pdf"], "doi": []}, {"id": "6fa9bae381274518d3972294d81e460f0c63900b", "title": "Personalized Recommendations in Police Photo Lineup Assembling Task", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6fa9/bae381274518d3972294d81e460f0c63900b.pdf"], "doi": []}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "ea5fdb7f6c2e94d1a67bff622c566ddc66be19ab", "title": "Face recognition based on convolutional neural network and support vector machine", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832107"]}, {"id": "388b345e4d9e306e7072d0d2604fcc385d32acf4", "title": "Dynamic Feature Learning for Partial Face Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/He_Dynamic_Feature_Learning_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00737", "http://doi.org/10.1109/CVPR.2018.00737"]}, {"id": "71c4b8e1bb25ee80f4317411ea8180dae6499524", "title": "Extended Features using Machine Learning Techniques for Photo Liking Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463396", "http://doi.org/10.1109/QoMEX.2018.8463396"]}, {"id": "5ce80b41443518a14d800f6b93b4057bbb007432", "title": "Benchmarking Intelligence Processors", "year": "2017", "pdf": [], "doi": []}, {"id": "0c13bf7fcb238cc844dea24c0e2ad694a5f2cbde", "title": "Learning to Identify While Failing to Discriminate", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Sokolic_Learning_to_Identify_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265509", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.298", "http://doi.org/10.1109/ICCVW.2017.298"]}, {"id": "0a2d2b79ba39e2140c93543b8ce873f106c08e3d", "title": "Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.03279.pdf"], "doi": []}, {"id": "43dce79cf815b5c7068b1678f6200dabf8f5de31", "title": "Deep multi-frame face hallucination for face identification", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1709.03196"]}, {"id": "dd2e69465ecdcd67d5211babb9d1a6754468d174", "title": "DF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16730", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16730/16293"]}, {"id": "8e5804b8dddff600ee7646b8c33bebad4b550b31", "title": "Convolutional Neural Network-Based Periocular Recognition in Surveillance Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482116", "http://doi.org/10.1109/ACCESS.2018.2874056"]}, {"id": "debab342dd7bf6980ba5c0ad9fd7d6d3cd691f46", "title": "Long-term face tracking in the wild using deep learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07646.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "6fdc0bc13f2517061eaa1364dcf853f36e1ea5ae", "title": "DAISEE: Dataset for Affective States in E-Learning Environments", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fdc/0bc13f2517061eaa1364dcf853f36e1ea5ae.pdf"], "doi": []}, {"id": "113b06e70b7eead8ae7450bafe9c91656705024c", "title": "Face Alignment across Large Pose via MT-CNN Based 3D Shape Reconstruction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373832", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00039", "http://doi.org/10.1109/FG.2018.00039"]}, {"id": "8d9445e579837e83099e137f2aa65681ce029697", "title": "DeepIED: An epileptic discharge detector for EEG-fMRI based on deep learning", "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S2213158217303108", "https://doi.org/10.1016/j.nicl.2017.12.005", "https://www.ncbi.nlm.nih.gov/pubmed/29321970"]}, {"id": "806c07757431ab3fd91f4276d350186cf6f9b7e4", "title": "Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1892/5ac92f9c8f6e82e0cc7a843234c6c494c4cc.pdf"], "doi": []}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "51c7236feaa2ae23cef78c7bca75c69d7081e24a", "title": "Deep multi-frame face super-resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03196.pdf"], "doi": []}, {"id": "8fc730d22f33d08be927e5449f359dc15b5c3503", "title": "Measuring and modeling the perception of natural and unconstrained gaze in humans and machines", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09819.pdf"], "doi": []}, {"id": "587f81ae87b42c18c565694c694439c65557d6d5", "title": "DeepFace : Face Generation using Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/587f/81ae87b42c18c565694c694439c65557d6d5.pdf"], "doi": []}, {"id": "20260d36506911e04ad1efed1e60b06bfc178d52", "title": "Deep 3D face identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10714.pdf"], "doi": []}, {"id": "084011fe855c3aabb3de1c25174d78082d04a5b7", "title": "WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w5/Su_WebLogo-2M_Scalable_Logo_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/SuEtAl_ICCV17WS.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36236/Gong%20WebLogo-2M%20Scalable%202018%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265251", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.41", "http://doi.org/10.1109/ICCVW.2017.41"]}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961833", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.110", "http://doi.org/10.1109/FG.2017.110"]}, {"id": "f56a9a127a0c65f7a0977d93e260d74ed4d5aed9", "title": "3 D Face Recognition Under Unconstrained Settings Using Low-Cost Sensors", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f56a/9a127a0c65f7a0977d93e260d74ed4d5aed9.pdf"], "doi": []}, {"id": "317553d0c479cb9893b3884c96cfa681c80296a0", "title": "Facial Expression Recognition for Traumatic Brain Injured Patients", "year": "2018", "pdf": ["http://vbn.aau.dk/files/265229434/VISAPP_2018_189_CR.pdf", "http://www.scitepress.org/Papers/2018/67213/67213.pdf"], "doi": ["https://doi.org/10.5220/0006721305220530"]}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "1a8ab75050d1c5a6722d7fa05bebf8fd4edd698d", "title": "Towards on-farm pig face recognition using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.compind.2018.02.016"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "089a5982768a077028d3675a615b32e67a12a22c", "title": "Face Beauty Analysis via Manifold based Semi-Supervised Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/089a/5982768a077028d3675a615b32e67a12a22c.pdf"], "doi": []}, {"id": "9c9417e7a3c04f6304d3e609ea9ff320bff285e8", "title": "Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237854"]}, {"id": "88337c4ca3eeb00538b9a1ac54180d02187c68db", "title": "Learning Face Age Progression: A Pyramid Architecture of GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578109"]}, {"id": "de95fa1dd69a2d0d2b76539357062062f8b1e7b8", "title": "Face to Age", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/de95/fa1dd69a2d0d2b76539357062062f8b1e7b8.pdf"], "doi": []}, {"id": "3b6e90afe6b8dd28b3ac67e4b6c34dc4faa17aa8", "title": "Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-019-01154-8"]}, {"id": "d92084e376a795d3943df577d3b3f3b7d12eeae5", "title": "Face and Image Representation in Deep CNN Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961806", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.85", "http://doi.org/10.1109/FG.2017.85"]}, {"id": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.pdf"], "doi": []}, {"id": "6aa201b23b93dc51939e68bcf12e386d3b459f2d", "title": "Monitoring Patients in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961856", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.153", "http://doi.org/10.1109/FG.2017.153"]}, {"id": "f0225fd9e968a022ea6f993c1e44f01716908769", "title": "Learning the Cultural Consistent Facial Aesthetics by Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227351", "http://doi.org/10.1109/Culture.and.Computing.2017.53"]}, {"id": "523574aca71d8981b4122cce8d132f22391ef26e", "title": "MovieGraphs: Towards Understanding Human-Centric Situations from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578993"]}, {"id": "fd4537b92ab9fa7c653e9e5b9c4f815914a498c0", "title": "One-Sided Unsupervised Domain Mapping", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00826.pdf"], "doi": []}, {"id": "4edc7f27d4512b69be54abfc6b9876e5b00725ab", "title": "Facial Expression Recognition using Convolutional Neural Networks: State of the Art", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02903.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "260a57f4d099f3f2a2c2b458e92de15e4e4a47fc", "title": "Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hu_Attribute-Enhanced_Face_Recognition_ICCV_2017_paper.pdf", "https://pure.qub.ac.uk/portal/files/138226397/ICCV2017_Attribute_Enhanced_Face_Recognition_with_Neural_Tensor_Fusion_Networks.pdf", "https://www.research.ed.ac.uk/portal/files/41072997/hu2017neuralTensor.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237666", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.404", "http://doi.org/10.1109/ICCV.2017.404"]}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "174ef76c12e6426056ff2980bf220964030ed48e", "title": "How competitive are you: Analysis of people's attractiveness in an online dating system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019374", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019374", "http://doi.org/10.1109/ICME.2017.8019374"]}, {"id": "49a5d855f91c6ec6d1724a200d33e92c41f73480", "title": "Cascade Adversarial Machine Learning Regularized with a Unified Embedding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02582.pdf"], "doi": []}, {"id": "9a845ce802227a13de16f3e29eebeb3c8817f83b", "title": "Convolutional neural network approach for vision based student recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8281789"]}, {"id": "6187f91f1e53cf6f62afe30e01c7b1ed43505c9e", "title": "Localizing and Orienting Street Views Using Overhead Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00161.pdf"], "doi": []}, {"id": "a58ba304ca0c37d94c7227feeeffb600a492d902", "title": "Audio-Visual Speech Enhancement Based on Multimodal Deep Convolutional Neural Networks", "year": "", "pdf": [], "doi": []}, {"id": "42a48ce71daa2d05c698d2e9e90335320ddd9841", "title": "General-to-specific learning for facial attribute classification in the wild", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2018.09.003"]}, {"id": "71fd29c2ae9cc9e4f959268674b6b563c06d9480", "title": "End-to-end 3D shape inverse rendering of different classes of objects from a single input image", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05858.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "59b6ff409ae6f57525faff4b369af85c37a8dd80", "title": "Deep Attribute Driven Image Similarity Learning Using Limited Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241593", "http://doi.ieeecomputersociety.org/10.1109/ISM.2017.28", "http://doi.org/10.1109/ISM.2017.28"]}, {"id": "de06dcbe607f583794ce98f85caed4607a366b35", "title": "UAS Navigation with SqueezePoseNet\u2014Accuracy Boosting for Pose Regression by Data Augmentation", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/drones2010007", "https://publikationen.bibliothek.kit.edu/1000087401/19336945"]}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "3f768179cea3c710dac8e68c0a890c48cfdc8ed1", "title": "Face Template Protection Using Deep Convolutional Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w11/Jindal_Face_Template_Protection_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575550", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00087", "http://doi.org/10.1109/CVPRW.2018.00087"]}, {"id": "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "title": "On Learning 3D Face Morphable Model from In-the-wild Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09560.pdf"], "doi": []}, {"id": "954eca6c3daf17a081379d51980beb299c803d3a", "title": "Learning Deep Features for Hierarchical Classification of Mobile Phone Face Datasets in Heterogeneous Environments", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961740", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.139", "http://doi.org/10.1109/FG.2017.139"]}, {"id": "1e472cf9a290e8f59573628dba426cd6d74411f4", "title": "A Large-Scale Software-Generated Face Composite Sketch Database", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736902", "http://doi.org/10.1109/BIOSIG.2016.7736902", "https://dl.gi.de/20.500.12116/1212"]}, {"id": "e44e8b0e8b041afe4501f199fa8af7610cfd4259", "title": "Reduced Residual Nets (Red-Nets): Low Powered Adversarial Outlier Detectors", "year": "2018", "pdf": ["http://users.cis.fiu.edu/~chens/PDF/IRI18_Saad.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424741", "http://doi.ieeecomputersociety.org/10.1109/IRI.2018.00070", "http://doi.org/10.1109/IRI.2018.00070"]}, {"id": "ba654c84ec5817bd115983fef53c90ca68f880cc", "title": "Generalization in Metric Learning: Should the Embedding Layer Be Embedding Layer?", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658420"]}, {"id": "e6ca412a05002b51d358c2e3061913c3dab6b810", "title": "MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10580.pdf"], "doi": []}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "a9e8c08c69b8752a8afad752ec26a2b3807ede50", "title": "PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08657.pdf"], "doi": []}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"], "doi": []}, {"id": "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "title": "Survey of biometric pattern recognition via machine learning techniques", "year": "2018", "pdf": ["http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf"], "doi": ["https://doi.org/10.12988/ces.2018.84166"]}, {"id": "0b07e4341303272b26be11262feb66c0a4412c43", "title": "Deep Learned Cumulative Attribute Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373906", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00113", "http://doi.org/10.1109/FG.2018.00113"]}, {"id": "fd0a1a2ecf69a6c1a6efcb18b8f23e4d5402f601", "title": "ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02095.pdf"], "doi": []}, {"id": "d118454b38f3f0d4dd48d7775ea3683708b33325", "title": "Person Identification from Drones by Humans: Insights from Cognitive Psychology", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d118/454b38f3f0d4dd48d7775ea3683708b33325.pdf"], "doi": []}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "1280b35e4a20036fcfd82ee09f45a3fca190276f", "title": "Face Verification Based on Feature Transfer via PCA-SVM Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276888", "http://doi.ieeecomputersociety.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166", "http://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166"]}, {"id": "df7af280771a6c8302b75ed0a14ffe7854cca679", "title": "Prediction of users' facial attractiveness on an online dating website", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026293", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026293", "http://doi.org/10.1109/ICMEW.2017.8026293"]}, {"id": "b3e5cc26fb8ae57b5e9e6dc161d5ea3c67bcdeab", "title": "Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting From in the Wild Environments", "year": "2017", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/FG2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961852", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.122", "http://doi.org/10.1109/FG.2017.122"]}, {"id": "a8ff837f67f9fe9e6f562f5de56784b93b4f9dfe", "title": "XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05139.pdf"], "doi": []}, {"id": "db326e6b49121e7f80c802fd2e5b80a482c955df", "title": "What You Can't See Can Help You - Extended-Range Imaging for 3D-Mask Presentation Attack Detection", "year": "2017", "pdf": ["http://publications.idiap.ch/downloads/papers/2017/Bhattacharjee_BIOSIG2017_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8053524", "https://dl.gi.de/20.500.12116/4645"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "30885b71532eaed5827b5de5cb60d9b85bce7a08", "title": "A Multi-View Learning Approach to Deception Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373888"]}, {"id": "9857eeded6b7608ff862174742b38946102f5008", "title": "Interpretable Facial Relational Network Using Relational Importance", "year": "2017", "pdf": [], "doi": []}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "fd4b5766a8ace0d89676deb26a098949a96089a3", "title": "Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12167.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "d07483e2c1f89b490ae03507fd39bd3c0883f2d9", "title": "Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01763.pdf"], "doi": []}, {"id": "4589d6bbb3186fc001ea2a42ae1ea2718edba915", "title": "Recursive Cross-Domain Face/Sketch Generation from Limited Facial Parts", "year": "2017", "pdf": [], "doi": []}, {"id": "29c1f733a80c1e07acfdd228b7bcfb136c1dff98", "title": "Discriminatively Trained Latent Ordinal Model for Video Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.02318.pdf"], "doi": []}, {"id": "00c05adcd5157edba775782464402c2bfb998c82", "title": "Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b5fd/440edd27702c8dbfa38fac0bf23deacf33cb.pdf"], "doi": []}, {"id": "cfa205874bd192ab949132631a7eda995ecc57af", "title": "Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07457.pdf"], "doi": []}, {"id": "b632d47eb7421a3d622b0f1ceb009e4415ccc84d", "title": "Deep Perceptual Mapping for Cross-Modal Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05347.pdf"], "doi": []}, {"id": "cd6e32b00a53310f90a7138a41b855bf44129637", "title": "Persons-In-Places: a Deep Features Based Approach for Searching a Specific Person in a Specific Location", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1664", "http://www.informatica.si/index.php/informatica/article/download/1664/1031"]}, {"id": "6e7d799497b94954dc4232d840628c3a00263e42", "title": "Aalborg Universitet Deep Multimodal Pain Recognition : A Database and Comparison of Spatio-Temporal Visual", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6e7d/799497b94954dc4232d840628c3a00263e42.pdf"], "doi": []}, {"id": "4d90d7834ae25ee6176c096d5d6608555766c0b1", "title": "Face and Body Association for Video-Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354115", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00011", "http://doi.org/10.1109/WACV.2018.00011"]}, {"id": "b4c80df27276660522f8901aa90c129c15611821", "title": "On Detecting Domestic Abuse via Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575463"]}, {"id": "e2468c58e3178dd3a5dbbc1888a9d122c2727b76", "title": "Learning Face Deblurring Fast and Wide", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575269"]}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "2133475ba633c732292ccf405f07a0baea9d01b3", "title": "Demographic-Assisted Age-Invariant Face Recognition and Retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/sym10050148"]}, {"id": "01350214f850f43d72268df4f98b05901fbbe06c", "title": "1 Deep convolutional neural networks for detection of 2 polar mesocyclones from satellite mosaics 3", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0135/0214f850f43d72268df4f98b05901fbbe06c.pdf"], "doi": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961736", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.28", "http://doi.org/10.1109/FG.2017.28"]}, {"id": "116808d63af1cdfa30b9cb9abfa6883f932cc44f", "title": "Feature fusion with covariance matrix regularization in face recognition", "year": "2018", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/44512/Feature%20Fusion%20with%20Covariance%20Matrix%20Regularization%20in.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.1016/j.sigpro.2017.10.024"]}, {"id": "5bd98e03691089cec9a42f8b0a00152b4578b903", "title": "A Multimodal LSTM for Predicting Listener Empathic Responses Over Time", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04891.pdf"], "doi": []}, {"id": "de390a143720e697bc71c3727633b155bf25a2c1", "title": "High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de39/0a143720e697bc71c3727633b155bf25a2c1.pdf"], "doi": []}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "1e21b925b65303ef0299af65e018ec1e1b9b8d60", "title": "Unsupervised Cross-Domain Image Generation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.02200.pdf"], "doi": []}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "4fb11a58d5a3ffc0bb6d4ade334a366b4a431b02", "title": "The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00074.pdf"], "doi": []}, {"id": "a23e7e71fb92a56c2e7717f6356e8b69fc2f4bfc", "title": "Multimodal fusion of audio, scene, and face features for first impression estimation", "year": "2016", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/gurpinar16icpr_author_proof.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899605", "http://doi.org/10.1109/ICPR.2016.7899605"]}, {"id": "cf6c59d359466c41643017d2c212125aa0ee84b2", "title": "Weakly-supervised deep self-learning for face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552983", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552983", "http://doi.org/10.1109/ICME.2016.7552983"]}, {"id": "16371cf22f9de60dd1edd7178669e5ba69143686", "title": "Exploring LOTS in Deep Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2624/08f84d6c5c25cff15bec24a5a874e6a944d0.pdf"], "doi": []}, {"id": "2d2127532fbad4d5558ead3e5617e3d3004dd5cf", "title": "DeepFakes: a New Threat to Face Recognition? Assessment and Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08685.pdf"], "doi": []}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "d06bcb2d46342ee011e652990edf290a0876b502", "title": "Photo-realistic Face Images Synthesis for Learning-based Fine-scale 3D Face Reconstruction", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1708.00980"]}, {"id": "8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa", "title": "Dataset Augmentation for Pose and Lighting Invariant Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04326.pdf"], "doi": []}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"id": "c9ab493f7ab58e7923dfad04c48b860cfc5aaf30", "title": "Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7997822"]}, {"id": "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "title": "Coordinated Local Metric Learning", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406405", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.56", "http://doi.org/10.1109/ICCVW.2015.56"]}, {"id": "b28d061c0e26b4580f603c1fd919ce0c7a84c731", "title": "Face value of companies : deep learning for nonverbal communication", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b28d/061c0e26b4580f603c1fd919ce0c7a84c731.pdf"], "doi": []}, {"id": "6e3660e8efb976c916e61fe17ea90aea7d13aac4", "title": "BIER \u2014 Boosting Independent Embeddings Robustly", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Opitz_BIER_-_Boosting_ICCV_2017_paper.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/opitz_iccv17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237817", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.555", "http://doi.org/10.1109/ICCV.2017.555"]}, {"id": "195bec771d31eff04c8b0324878d2338ab594527", "title": "On Effectiveness of Anomaly Detection Approaches against Unseen Presentation Attacks in Face Anti-spoofing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411206"]}, {"id": "aeff403079022683b233decda556a6aee3225065", "title": "DeepFace: Face Generation using Deep Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01876.pdf"], "doi": []}, {"id": "31aa20911cc7a2b556e7d273f0bdd5a2f0671e0a", "title": "Patch-based Face Recognition using a Hierarchical Multi-label Matcher", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01417.pdf"], "doi": []}, {"id": "726b8aba2095eef076922351e9d3a724bb71cb51", "title": "DFaceNet : Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images", "year": "2017", "pdf": [], "doi": []}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "60f7de07de4d090990120483bd5407369b29a120", "title": "\u2113\u2081-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60f7/de07de4d090990120483bd5407369b29a120.pdf"], "doi": []}, {"id": "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "title": "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01727.pdf"], "doi": []}, {"id": "17ad76ef00d4cb584389682ca6b138a8bdc9a2da", "title": "Continuous Multimodal Emotion Recognition Approach for AVEC 2017", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05861.pdf"], "doi": []}, {"id": "f5ab93e4ec9d0c80ae6c1378e865df2411f19752", "title": "Dict Layer: A Structured Dictionary Layer", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w11/Chen_Dict_Layer_A_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575546", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00083", "http://doi.org/10.1109/CVPRW.2018.00083"]}, {"id": "c1c8ea4b2118095bea55cf6b51c36dbf95cc7f2c", "title": "Learning 3D Segment Descriptors for Place Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09270.pdf"], "doi": []}, {"id": "b8a5839f6b1e051f430f2b89d5a1a7e49a10655a", "title": "DCFNet: Deep Neural Network with Decomposed Convolutional Filters", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04145.pdf"], "doi": []}, {"id": "3f6da4965b214ea947dd3b6cd33b41ece89e7e79", "title": "Context-Aware Fusion for Continuous Biometric Authentication", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411227", "http://doi.org/10.1109/ICB2018.2018.00043"]}, {"id": "66436e96aafa7abd3b0700e8409dbb360775a9b8", "title": "Considering Race a Problem of Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638327"]}, {"id": "9aa36a46d63693c136cb8ca673128f2a2d4e08d5", "title": "[Regular Paper] KnowPain: Automated System for Detecting Pain in Neonates from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567471"]}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "title": "AcFR: Active Face Recognition Using Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w1/papers/Nakada_AcFR_Active_Face_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014745", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.11", "http://doi.org/10.1109/CVPRW.2017.11"]}, {"id": "7f6cd03e3b7b63fca7170e317b3bb072ec9889e0", "title": "A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09359.pdf"], "doi": []}, {"id": "64d9c5ab4cab193046ac839b74d182a472fe45ba", "title": "NosePose : a competitive , landmark-free methodology for head pose estimation in the wild", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/64d9/c5ab4cab193046ac839b74d182a472fe45ba.pdf"], "doi": []}, {"id": "bcd6e682c11eaf493017cb734e95d606e49648cb", "title": "BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099762"]}, {"id": "5f09018d330f8d62b9abd83d44f1097d945508e4", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"], "doi": []}, {"id": "5d80149e005894ab57f47e667f3e060e247d8e43", "title": "Lip reading using CNN and LSTM", "year": "2016", "pdf": [], "doi": []}, {"id": "71edcfe5e3a4e1678698a0659a7e51555291d242", "title": "Who's that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09162.pdf"], "doi": []}, {"id": "1999248e52154aa8e2aa4c1e60899e26794eb1f9", "title": "A two-stage learning approach to face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2016.12.006"]}, {"id": "9e86e9853c261f2e4affe61674ca26a537ba65de", "title": "Transfer Learning for Face Identification with Deep Face Model", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7979872", "http://doi.org/10.1109/CCBD.2016.014"]}, {"id": "a455cbde9dafdb099d83464c7f4729d8f17208ed", "title": "ODESSA/PLUMCOT at Albayzin multimodal diarization challenge 2018", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a455/cbde9dafdb099d83464c7f4729d8f17208ed.pdf"], "doi": []}, {"id": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"], "doi": []}, {"id": "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "title": "Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification", "year": "2018", "pdf": ["http://sergioescalera.com/wp-content/uploads/2018/05/FG2018_Expression-Change-Biometrics.pdf", "http://vbn.aau.dk/files/279731010/FG2018_Expression_Biometric_CameraReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373891", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00098", "http://doi.org/10.1109/FG.2018.00098"]}, {"id": "59efb1ac77c59abc8613830787d767100387c680", "title": "DIF : Dataset of Intoxicated Faces for Drunk Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10030.pdf"], "doi": []}, {"id": "3a3c47b6da1ea1b8d57ce41d9ddb54a774e1914d", "title": "High-Level Prediction Signals in a Low-Level Area of the Macaque Face-Processing Hierarchy", "year": "2017", "pdf": ["http://www.cnbc.cmu.edu/braingroup/papers/Schiedrzik_Freiwald_2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0896627317308425", "http://doi.org/10.1016/j.neuron.2017.09.007", "https://www.ncbi.nlm.nih.gov/pubmed/28957679"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "title": "Neural Face Editing with Intrinsic Image Disentangling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04131.pdf"], "doi": []}, {"id": "65783e66cb6d9c057edf7b37f6d0be24a78d3013", "title": "Recognition of Affect in the Wild Using Deep Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Kollias_Recognition_of_Affect_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/cvpr_workshop_paper_camera_ready_(2).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014981", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.247", "http://doi.org/10.1109/CVPRW.2017.247"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"], "doi": []}, {"id": "dbe101c7c4b5ea5986be38e4d6de70bfc4324683", "title": "1 Deep convolutional neural networks capabilities for 2 binary classification of polar mesocyclones in 3 satellite mosaics 4", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cd86/ad9c21ceff734446d26a08d89c893174dfb3.pdf"], "doi": []}, {"id": "4e4a4359c7dd25af7e2ef0910928cd9faa5d0cfb", "title": "End-to-End 3D Face Reconstruction with Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05020.pdf"], "doi": []}, {"id": "d94c7a89adf6f568bbe1510910850d5083a58b4f", "title": "Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11688.pdf"], "doi": []}, {"id": "08307351e8f2a40d7ff9bbee8deaa54dc1bad055", "title": "Face Recognition Based on CSGF(2D)2PCANet", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8435907", "http://doi.org/10.1109/ACCESS.2018.2865425"]}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "415c16201f65e92b089918340494ba2a798bdec5", "title": "Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03156.pdf"], "doi": []}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "7334ebde5892b618c24dbac47027f61cf0473fde", "title": "DeepStar: Detecting Starring Characters in Movies", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8604143"]}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "c1d11b94c8fecaed79f97966d4bfa8381d32ad16", "title": "Deep Domain Adaptation for Face Recognition using images captured from surveillance cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553278", "http://doi.org/10.23919/BIOSIG.2018.8553278"]}, {"id": "b8d9966941bc1e7a225d6f338fb3c1bd04bb2910", "title": "Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10938.pdf"], "doi": []}, {"id": "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "title": "Deep Face Recognition under Eyeglass and Scale Variation Using Extended Siamese Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575869", "http://doi.org/10.1109/ACPR.2017.48"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "b12431e61172443c534ea523a4d7407e847b5c5b", "title": "Yu\u0308z Tan\u0131maya Dayal\u0131 Kis\u0327i Bazl\u0131 Test Otomasyonu", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b124/31e61172443c534ea523a4d7407e847b5c5b.pdf"], "doi": []}, {"id": "6ebc601bba067af64b57d59039319650168df4c9", "title": "CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.00980.pdf"], "doi": []}, {"id": "92527ace7f75188b5ec209ff7d59f431343075e4", "title": "Video-based emotion recognition using CNN-RNN and C3D hybrid networks", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997632"]}, {"id": "25d75339720787e7003f2f103cf38cee8175972a", "title": "Optimistic and Pessimistic Neural Networks for Scene and Object Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07982.pdf"], "doi": []}, {"id": "fea83550a21f4b41057b031ac338170bacda8805", "title": "Learning a Metric Embedding for Face Recognition using the Multibatch Method", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.07270.pdf"], "doi": []}, {"id": "110359824a0e3b6480102b108372793265a24a86", "title": "Landmark perturbation-based data augmentation for unconstrained face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.03.011"]}, {"id": "0418cdad1a10b58cf1a526b5a65a465f9324d67f", "title": "Facial Micro-Expressions Grand Challenge 2018 Summary", "year": "2018", "pdf": ["http://pesona.mmu.edu.my/~johnsee/research/papers/files/summary-megc-fg18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373899", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00106", "http://doi.org/10.1109/FG.2018.00106"]}, {"id": "93ae0e1704b20b89149e3eabce39c7428063e963", "title": "Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578368"]}, {"id": "c18bf07d5161d6ca7afb6eb5a4f385b6bd2fc381", "title": "Leveraging Large Face Recognition Data for Emotion Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373902", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00109", "http://doi.org/10.1109/FG.2018.00109"]}, {"id": "f36303b994e571d45bea1961edf46a072f4b2ffe", "title": "Convolutional Neural Networks for Iris Presentation Attack Detection: Toward Cross-Dataset and Cross-Sensor Generalization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575375"]}, {"id": "fddc99348ba397c0f1a16f4ee44754fb7a411b76", "title": "Automatic Detection of Optic Disc in Retina Image Using CNN and CRF", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560299"]}, {"id": "1b55c4e804d1298cbbb9c507497177014a923d22", "title": "Incremental Class Representation Learning for Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1b55/c4e804d1298cbbb9c507497177014a923d22.pdf"], "doi": []}, {"id": "a75de488eaacb1dafffbe667465390f101498aaf", "title": "Rule-Based Facial Makeup Recommendation System", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961759", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.47", "http://doi.org/10.1109/FG.2017.47"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "da5932a4f3af37030f0460496d4e0b6f93294bfd", "title": "Learning Geometric Equivalence between Patterns Using Embedding Neural Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227457", "http://doi.org/10.1109/DICTA.2017.8227457"]}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"], "doi": []}, {"id": "f7242b7a146f62189f27a71ff56a26e17b26a363", "title": "SegMap: 3D Segment Mapping using Data-Driven Descriptors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09557.pdf"], "doi": []}, {"id": "f276d79e428183b457875dcccf2442c7832093bb", "title": "Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558494", "http://doi.org/10.1109/ACCESS.2018.2884969"]}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "title": "Multimodal emotion recognition based human-robot interaction enhancement", "year": "2018", "pdf": [], "doi": []}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"], "doi": []}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "0c2a9a6bee6dfa5240a79c9dc306c2354d3806e1", "title": "On Matching Faces with Alterations due to Plastic Surgery and Disguise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07318.pdf"], "doi": []}, {"id": "70e41be079ff20d213a37e09b9a82bfd2beb2191", "title": "Deep Convolutional Neural Networks Capabilities for Binary Classification of Polar Mesocyclones in Satellite Mosaics", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70e4/1be079ff20d213a37e09b9a82bfd2beb2191.pdf"], "doi": []}, {"id": "e260847323b48a79bd88dd95a1499cd3053d3645", "title": "Reconstructing perceived faces from brain activations with deep adversarial neural decoding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/937b/78204a7ac4aac6a8782f29c68322621dc1c2.pdf"], "doi": []}, {"id": "bc93a5d09aad16356808843338bdd34df6b5b01b", "title": "DEEP-SEE FACE: A Mobile Face Recognition System Dedicated to Visually Impaired People", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466782", "http://doi.org/10.1109/ACCESS.2018.2870334"]}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.pdf"], "doi": []}, {"id": "d9ca4c9b35b5a3eac4229e5e767caff339ab1641", "title": "Recovering Faces From Portraits with Auxiliary Facial Attributes", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8659142"]}, {"id": "fa72f77519d4e48d9dbb1f47eafdbc9bc4c824bd", "title": "Visual Transformation Aided Contrastive Learning for Video-Based Kinship Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Dibeklioglu_Visual_Transformation_Aided_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237531", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.269", "http://doi.org/10.1109/ICCV.2017.269"]}, {"id": "806589080e7a5e48ee4b8883fc819b521f749128", "title": "On the Learning of Deep Local Features for Robust Face Spoofing Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614337"]}, {"id": "03b31cbb8e64dc9402b76287f06f15840acff3f1", "title": "Privacy-Protective-GAN for Privacy Preserving Face De-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11390-019-1898-8"]}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "dd16038195c0f3ce6b1f3afc6a0482a12bb9ab6d", "title": "A Study on the Suppression of Amusement", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373850", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00057", "http://doi.org/10.1109/FG.2018.00057"]}, {"id": "0a91c7e4037912b9614eaf738aa732be7bc22ec1", "title": "Sparse, Smart Contours to Represent and Edit Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578468"]}, {"id": "a9286519e12675302b1d7d2fe0ca3cc4dc7d17f6", "title": "Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.08197.pdf"], "doi": []}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961800", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.79", "http://doi.org/10.1109/FG.2017.79"]}, {"id": "badde061da20510ca74b94818eb726d27ff2f491", "title": "Improving speech embedding using crossmodal transfer learning with audio-visual data", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6992-3"]}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "e908ce44fa94bb7ecf2a8b70cb5ec0b1a00b311a", "title": "Topology preserving graph matching for partial face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019548", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019548", "http://doi.org/10.1109/ICME.2017.8019548"]}, {"id": "53de11d144cd2eda7cf1bb644ae27f8ef2489289", "title": "Extending Detection with Privileged Information via Generalized Distillation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424637", "http://doi.org/10.1109/SPW.2018.00021"]}, {"id": "3fe269cbe3a15aca4663d7086e0622ec5eb93c2d", "title": "Neural Information Processing", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-04167-0"]}, {"id": "33e539cc9bab90ad9165f8482c1329d8870e9bb3", "title": "Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/33e5/39cc9bab90ad9165f8482c1329d8870e9bb3.pdf"], "doi": []}, {"id": "7b0b0e556a91057ce38a731de247e6a98ee65a2d", "title": "A Deep Learning Models for Blind Guidance by Integrating CNN and ELM", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622945", "http://doi.org/10.1109/HPCC%2FSmartCity%2FDSS.2018.00207", "https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00207"]}, {"id": "f2743ae62496a49d69a049141fcddcb3d1fffba4", "title": "Deep learning to predict the lab-of-origin of engineered DNA", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1038/s41467-018-05378-z", "https://www.ncbi.nlm.nih.gov/pubmed/30087331"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "7da069849066a55d219b9e5b043fb4e07dee2652", "title": "Image-based Family Verification in the wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7da0/69849066a55d219b9e5b043fb4e07dee2652.pdf"], "doi": []}, {"id": "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "title": "Searching a specific person in a specific location using deep features", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011138"]}, {"id": "91dec705d119cb3cc40da18f51aafac3c5c191ce", "title": "Person Recognition beyond the Visible Spectrum: Combining Body Shape and Texture from mmW Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411228", "http://doi.org/10.1109/ICB2018.2018.00044"]}, {"id": "065756857d5180a40b493e88f4eb3b24d30a1713", "title": "License plate detection and recognition using hierarchical feature layers from CNN", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6889-1"]}, {"id": "098363b29eef1471c494382338687f2fe98f6e15", "title": "Metadata-Based Feature Aggregation Network for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411212", "http://doi.org/10.1109/ICB2018.2018.00028", "https://doi.org/10.1109/ICB2018.2018.00028"]}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "0bbde476713458acbdbe86157bc5067b36cad2ad", "title": "Automated Pain Detection from Facial Expressions using FACS: A Review", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07988.pdf"], "doi": []}, {"id": "33cbaae593b6fc0d4cafdd41cec11e00956e251f", "title": "Predicting eye movement patterns from fMRI responses to natural scenes", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1038/s41467-018-07471-9", "https://www.ncbi.nlm.nih.gov/pubmed/30514836"]}, {"id": "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "title": "Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w26/papers/Kaya_Multi-Modal_Score_Fusion_CVPR_2017_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/kaya17chalearn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014944", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.210", "http://doi.org/10.1109/CVPRW.2017.210"]}, {"id": "a84bc1216f508ecdd8bb310e21d5f9bd15dc66d5", "title": "Adversarial image detection in deep neural networks", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-5853-4"]}, {"id": "f36647e63a11486ef9cf7a5a1c86a40fda5d408a", "title": "CS 229 Final Report : Artistic Style Transfer for Face Portraits", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f366/47e63a11486ef9cf7a5a1c86a40fda5d408a.pdf"], "doi": []}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "da8d0855e7760e86fbec47a3cfcf5acd8c700ca8", "title": "F 2 ConText : How to Extract Holistic Contexts of Persons of Interest for Enhancing Exploratory Analysis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/da8d/0855e7760e86fbec47a3cfcf5acd8c700ca8.pdf"], "doi": []}, {"id": "3a78f0c4b07ff756aec20a2f17ef0f25470c3cd6", "title": "Video Summarization via Multi-view Representative Selection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Meng_Video_Summarization_via_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265353", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.144", "http://doi.org/10.1109/ICCVW.2017.144"]}, {"id": "3fd203807fab28243f84d2360572796869ccde90", "title": "Deep Video Code for Efficient Face Video Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfe5/c97de89bbb775c7e44e02d5612f4dae7f95f.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "fd37603fe9808f32d53fd417b20ab0a47dbb2d9b", "title": "Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411207"]}, {"id": "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "title": "Attention-Based Template Adaptation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961846", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.116", "http://doi.org/10.1109/FG.2017.116"]}, {"id": "6789bddbabf234f31df992a3356b36a47451efc7", "title": "Unsupervised Generation of Free-Form and Parameterized Avatars.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6789/bddbabf234f31df992a3356b36a47451efc7.pdf"], "doi": []}, {"id": "a3f69a073dcfb6da8038607a9f14eb28b5dab2db", "title": "3D-Aided Deep Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a3f6/9a073dcfb6da8038607a9f14eb28b5dab2db.pdf"], "doi": []}, {"id": "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "title": "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Disentangled_Representation_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.141", "http://doi.org/10.1109/CVPR.2017.141"]}, {"id": "07d3dddb363870cfd980ca8d748c8b1418aad863", "title": "Learning from Differentially Private Neural Activations with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567659", "http://doi.ieeecomputersociety.org/10.1109/SEC.2018.00014", "http://doi.org/10.1109/SEC.2018.00014"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "b5ba0c50cfe2559f4197bb35cf50441118b768c8", "title": "audEERING's approach to the One-Minute-Gradual Emotion Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01222.pdf"], "doi": []}, {"id": "e065a2cb4534492ccf46d0afc81b9ad8b420c5ec", "title": "SFace: An Efficient Network for Face Detection in Large Scale Variations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06559.pdf"], "doi": []}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "3faebe9d5c47fc90998811c4ac768706283d605c", "title": "Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12a7/14d01dfef0dae2a113f0da3df223d6a5289c.pdf"], "doi": []}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373823", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00030", "http://doi.org/10.1109/FG.2018.00030"]}, {"id": "ea2d43aa2490331cd1406e1432ce706c53139323", "title": "Tracked Instance Search", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00479.pdf"], "doi": []}, {"id": "c877dfb0c636852f243e53dac4445681e1985a35", "title": "Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09487.pdf"], "doi": []}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "2a50dfe8d2157e1f75f587601fad8f3d81bbf10c", "title": "Illumination and pose variable face recognition via adaptively weighted ULBP_MHOG and WSRC", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2017.07.008"]}, {"id": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "62e8010e2ac1523d3a3e7e1c13cb34e63e85ce04", "title": "Transfer Learning for Action Unit Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07556.pdf"], "doi": []}, {"id": "4e32fbb58154e878dd2fd4b06398f85636fd0cf4", "title": "A Hierarchical Matcher using Local Classifier Chains", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02339.pdf"], "doi": []}, {"id": "894f1e924dfb8dfb843c42835fa79e386ac07383", "title": "Dimensional emotion recognition using visual and textual cues", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01416.pdf"], "doi": []}, {"id": "18d19cf4d09ac340428d091b24af561a3d5de3ea", "title": "Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08501.pdf"], "doi": []}, {"id": "a6e51e37b8fcc679d331753441ca531fcedbf002", "title": "Multimodal Visual Concept Learning with Weakly Supervised Techniques", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578614"]}, {"id": "d69b8121771f211cd4f0d9bc960954643731ca4b", "title": "OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578944"]}, {"id": "3de3c479164312ab3a1795ee84f20c16632c04c4", "title": "Scalable Deep Learning Logo Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11417.pdf"], "doi": []}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "03e60b7ea55f3bd30ccd50394723c63ce9b8d14c", "title": "The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614341"]}, {"id": "3cc5f82147bd203e6d0a2cf9d2b2ac0ce31e58d6", "title": "Automated face recognition of rhesus macaques", "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027017302637", "http://doi.org/10.1016/j.jneumeth.2017.07.020", "https://www.ncbi.nlm.nih.gov/pubmed/28739161"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579072"]}]}
\ No newline at end of file +{"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "citations": [{"id": "6aef8eeff5f532dcdad95043ba464720be664ab8", "title": "Computer vision for assistive technologies", "year": "2017", "pdf": ["http://cvrr.ucsd.edu/publications/2016/ComputerVisionforAssistiveTech-cviu2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.001"]}, {"id": "ac12ba5bf81de83991210b4cd95b4ad048317681", "title": "Combining Deep Facial and Ambient Features for First Impression Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac12/ba5bf81de83991210b4cd95b4ad048317681.pdf"], "doi": []}, {"id": "4f53f80cc0d11beb3a086b98ba8ebaed6ec688de", "title": "Task Specific Networks for Identity and Face Variation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373840", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00047", "http://doi.org/10.1109/FG.2018.00047"]}, {"id": "c6fdbdbbbc7642daae22df0b7812e78d0647afb3", "title": "Unsupervised feature learning with C-SVDDNet", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.7259.pdf"], "doi": []}, {"id": "70ec156f7e6de0275c7e4e95e35f1bc1e92e29b3", "title": "Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.04662.pdf"], "doi": []}, {"id": "271fbc4c09b3f2eb9f56dc2bbac89262b3bc083d", "title": "Domain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01374.pdf"], "doi": []}, {"id": "98ba5933d7fe9fec0f3b39d7072662007ca6a57e", "title": "ExprGAN: Facial Expression Editing With Controllable Expression Intensity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03842.pdf"], "doi": []}, {"id": "203fcd66c043e44fefd783b8f54105f0a577fc25", "title": "Analyzing Content and Customer Engagement in Social Media with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/203f/cd66c043e44fefd783b8f54105f0a577fc25.pdf"], "doi": []}, {"id": "5c35ac04260e281141b3aaa7bbb147032c887f0c", "title": "Face Detection and Tracking Control with Omni Car", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c35/ac04260e281141b3aaa7bbb147032c887f0c.pdf"], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "title": "Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05675.pdf"], "doi": []}, {"id": "0ebc58bb5d517db0111f3565c4eb378d93dad908", "title": "Seeing Through Noise: Speaker Separation and Enhancement using Visually-derived Speech", "year": "2017", "pdf": [], "doi": []}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078466", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078466", "http://doi.org/10.1109/AVSS.2017.8078466"]}, {"id": "19075e854e29edce89a1cb39167eb1af06b86fe5", "title": "GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Duan_GraphBit_Bitwise_Interaction_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578961", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00863", "http://doi.org/10.1109/CVPR.2018.00863"]}, {"id": "dd888fd4f6d04623a34fc2286ff1e26280c2f0f0", "title": "Evaluating a Convolutional Neural Network on Short-Wave Infra-Red Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347108", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00008", "http://doi.org/10.1109/WACVW.2018.00008"]}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "title": "Face recognition in video surveillance from a single reference sample through domain adaptation", "year": "2017", "pdf": [], "doi": []}, {"id": "2b507f659b341ed0f23106446de8e4322f4a3f7e", "title": "Deep Identity-aware Transfer of Facial Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05586.pdf"], "doi": []}, {"id": "13831e47759e11f8cc6c77fa64ad34272b409b34", "title": "Compressing deep neural networks for efficient visual inference", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019465", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019465", "http://doi.org/10.1109/ICME.2017.8019465"]}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "11aa92ecea8674138c375d2bfea3ddc4f5811b45", "title": "Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11392.pdf"], "doi": []}, {"id": "8935ffe454758e2e5def0b5190de6e28c350b3b8", "title": "Learning to Reconstruct Face Geometries Research", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea06/abd83c491877f0ce04cc7780ce068578f282.pdf"], "doi": []}, {"id": "b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "title": "Selfie Detection by Synergy-Constraint Based Convolutional Neural Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04357.pdf"], "doi": []}, {"id": "9ea992f009492888c482d5f4006281eaa8b758e7", "title": "X2Face: A Network for Controlling Face Generation Using Images, Audio, and Pose Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10550.pdf"], "doi": []}, {"id": "81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f", "title": "Comparison of Face Recognition Neural Networks", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8169/5fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f.pdf"], "doi": []}, {"id": "f94867160e0885bc397892e4db56fa7ce9ebc83a", "title": "Visualizing and Quantifying Discriminative Features for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373806", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00013", "http://doi.org/10.1109/FG.2018.00013"]}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "8191f76d9df5c59186859c4834026c8e0fb42922", "title": "Deep Semantic Face Deblurring", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578960"]}, {"id": "bb6801a2e7e3f319d6dc72a4ab5b4d16919d074d", "title": "Continuous Real-Time Vehicle Driver Authentication Using Convolutional Neural Network Based Face Recognition", "year": "2018", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/derman18hbu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373885", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00092", "http://doi.org/10.1109/FG.2018.00092"]}, {"id": "3929ff77805bc02993b187a6019dbed4f662d59c", "title": "Pose Overcomplete Automatic Registration Method for Video Based Robust Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8221077"]}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.pdf"], "doi": []}, {"id": "d041c8cb05a5555046f6e62a4efbb964fb560c31", "title": "Generating faces for affect analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05027.pdf"], "doi": []}, {"id": "eb3066de677f9f6131aab542d9d426aaf50ed2ce", "title": "Deep Transfer Network with 3D Morphable Models for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373860", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00067", "http://doi.org/10.1109/FG.2018.00067"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "710b7a0c45ca6ba84768025ed1a02804a9530ea9", "title": "Illumination invariant single face image recognition under heterogeneous lighting condition", "year": "2017", "pdf": ["http://isee.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Illumination%20Invariant%20Single%20Face%20Image%20Recognition%20under%20Heterogeneous%20Lighting%20Condition.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.029"]}, {"id": "e568236493c3606ecd8c576a62540545aed1c170", "title": "Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05155.pdf"], "doi": []}, {"id": "7f3a73babe733520112c0199ff8d26ddfc7038a0", "title": "Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f3a/73babe733520112c0199ff8d26ddfc7038a0.pdf"], "doi": []}, {"id": "c0be23ae7f327f9415e583aee1936b9932c9b58b", "title": "Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05476.pdf"], "doi": []}, {"id": "49fdafef327069516d887d8e69b5e96c983c3dd0", "title": "Face Retrieval in Video Sequences Using a Single Face Sample", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227433", "http://doi.org/10.1109/DICTA.2017.8227433"]}, {"id": "0f4dfdeca316a5d27d61ab6bcdf907cd44686941", "title": "Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images", "year": "2016", "pdf": ["http://vbn.aau.dk/files/245132512/FFER_Pain_Super_Resolution.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-56687-0_13"]}, {"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "ca8ba835d8ebcc2d95d166ce34e051821367928f", "title": "Feature Vector Compression Based on Least Error Quantization", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/Vector_Compression.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Kawahara_Feature_Vector_Compression_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789508", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.18", "http://doi.org/10.1109/CVPRW.2016.18"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "52a9f957f776c8b3d913cfcd20452b9e31c27845", "title": "OPML: A one-pass closed-form solution for online metric learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09178.pdf"], "doi": []}, {"id": "25a784f7f8c94c42821ee078587fc38dffcd00a4", "title": "Robust Face Detection via Learning Small Faces on Hard Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11662.pdf"], "doi": []}, {"id": "b72eebffe697008048781ab7b768e0c96e52236a", "title": "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Discriminative_Covariance_Oriented_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wang_Discriminative_Covariance_Oriented_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Discriminative%20Covariance%20Oriented%20Representation%20Learning%20for%20Face%20Recognition%20with%20Image%20Sets_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100092", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.609", "http://doi.org/10.1109/CVPR.2017.609"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "1a31192ac79d0eccef596f93d6170117a0111396", "title": "Image Based Facial Micro-Expression Recognition Using Deep Learning on Small Datasets", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227443", "http://doi.org/10.1109/DICTA.2017.8227443"]}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "7c86f71de716a297950dc46f45152e03bfbc475d", "title": "Asymmetric Joint Learning for Heterogeneous Face Recognition", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16096", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16096/16249"]}, {"id": "ff3a89da1140c7d75586527002f9fd28cbfb04b6", "title": "Strengths and weaknesses of deep learning models for face recognition against image degradations", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0083"]}, {"id": "e83b017eaedfbf19d598799d8a1884c57c634782", "title": "GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition with Generalization to Unseen Categories", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575553"]}, {"id": "c4da6de4135a67c1c34ca5432224a2e91de71a17", "title": "Facial Recognition via Transfer Learning: Fine-Tuning Keras_vggface", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560856"]}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "title": "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Rao_Attention-Aware_Deep_Reinforcement_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237686", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.424", "http://doi.org/10.1109/ICCV.2017.424"]}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "4560491820e0ee49736aea9b81d57c3939a69e12", "title": "Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04008.pdf"], "doi": []}, {"id": "3555bdf6acee09ec7eb08b891a0f30b82c1b6482", "title": "Soft-Margin Learning for Multiple Feature-Kernel Combinations with Domain Adaptation, for Recognition in Surveillance Face Datasets", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/Soft-Margin_Learning.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Banerjee_Soft-Margin_Learning_for_CVPR_2016_paper.pdf", "https://arxiv.org/pdf/1610.01374v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789526", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.36", "http://doi.org/10.1109/CVPRW.2016.36"]}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.026"]}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"], "doi": []}, {"id": "7a16f37ecccca4f9703ce190dc596149b4ccc8d2", "title": "A Deep Cascade Network for Unaligned Face Attribute Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03851.pdf"], "doi": []}, {"id": "dbc04694ef17c83bb12b3ad34da6092eab68ae68", "title": "Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.04423.pdf"], "doi": []}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "49484ace2786445c2181d2f2975ec3ce34f9ed6d", "title": "Online Attention for Interpretable Conflict Estimation in Political Debates", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373855", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00062", "http://doi.org/10.1109/FG.2018.00062"]}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "5b3f345f1e3ff54e088b8d7ca2f831fd34dcb80a", "title": "Face Painting: querying art with photos", "year": "2015", "pdf": ["http://www.bmva.org/bmvc/2015/papers/paper065/abstract065.pdf", "http://www.bmva.org/bmvc/2015/papers/paper065/paper065.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Crowley15/crowley15.pdf", "https://www.research.ed.ac.uk/portal/files/28430753/crowley15.pdf"], "doi": ["https://doi.org/10.5244/C.29.65"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "ffcb92719dcd993dda292ca82d4585950ea22ac9", "title": "Handwritten Digit Recognition Using Convolutional Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ffcb/92719dcd993dda292ca82d4585950ea22ac9.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "c81326a1ecb7e71ae38a665779b8d959d3938d1a", "title": "A Novel Neural Network Model Specified for Representing Logical Relations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00580.pdf"], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "0171c74925a61d5df6732357fce000735bc73bf9", "title": "Analysis and Evaluation of Algorithms for Newborn Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0171/c74925a61d5df6732357fce000735bc73bf9.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "e83753a708e3bc8072851fe97aa6929515c518ec", "title": "Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546745"]}, {"id": "b2b535118c5c4dfcc96f547274cdc05dde629976", "title": "Automatic Recognition of Facial Displays of Unfelt Emotions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04061.pdf"], "doi": []}, {"id": "430cc88c6c73ab178c0e656b246f8f74d51c3a7f", "title": "You Will Succeed or Not? Matching Prediction in a Marriage Consulting Service", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966728", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.11", "http://doi.org/10.1109/BigMM.2017.11"]}, {"id": "f793970c7b57c3470561e9830cebbdd590a38bf4", "title": "Photo-realistic Facial Texture Transfer", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04306.pdf"], "doi": []}, {"id": "3e9405f88d82f70348317b42828b54718f60dc13", "title": "Thermal to Visible Synthesis of Face Images Using Multiple Regions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354114"]}, {"id": "eff063c99ebed728582a5895e312f660e8fde5f7", "title": "Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.04656.pdf"], "doi": []}, {"id": "6fa9bae381274518d3972294d81e460f0c63900b", "title": "Personalized Recommendations in Police Photo Lineup Assembling Task", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6fa9/bae381274518d3972294d81e460f0c63900b.pdf"], "doi": []}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "ea5fdb7f6c2e94d1a67bff622c566ddc66be19ab", "title": "Face recognition based on convolutional neural network and support vector machine", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832107"]}, {"id": "388b345e4d9e306e7072d0d2604fcc385d32acf4", "title": "Dynamic Feature Learning for Partial Face Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/He_Dynamic_Feature_Learning_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00737", "http://doi.org/10.1109/CVPR.2018.00737"]}, {"id": "71c4b8e1bb25ee80f4317411ea8180dae6499524", "title": "Extended Features using Machine Learning Techniques for Photo Liking Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463396", "http://doi.org/10.1109/QoMEX.2018.8463396"]}, {"id": "5ce80b41443518a14d800f6b93b4057bbb007432", "title": "Benchmarking Intelligence Processors", "year": "2017", "pdf": [], "doi": []}, {"id": "0c13bf7fcb238cc844dea24c0e2ad694a5f2cbde", "title": "Learning to Identify While Failing to Discriminate", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Sokolic_Learning_to_Identify_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265509", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.298", "http://doi.org/10.1109/ICCVW.2017.298"]}, {"id": "0a2d2b79ba39e2140c93543b8ce873f106c08e3d", "title": "Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.03279.pdf"], "doi": []}, {"id": "43dce79cf815b5c7068b1678f6200dabf8f5de31", "title": "Deep multi-frame face hallucination for face identification", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1709.03196"]}, {"id": "dd2e69465ecdcd67d5211babb9d1a6754468d174", "title": "DF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16730", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16730/16293"]}, {"id": "8e5804b8dddff600ee7646b8c33bebad4b550b31", "title": "Convolutional Neural Network-Based Periocular Recognition in Surveillance Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482116", "http://doi.org/10.1109/ACCESS.2018.2874056"]}, {"id": "debab342dd7bf6980ba5c0ad9fd7d6d3cd691f46", "title": "Long-term face tracking in the wild using deep learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07646.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "6fdc0bc13f2517061eaa1364dcf853f36e1ea5ae", "title": "DAISEE: Dataset for Affective States in E-Learning Environments", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fdc/0bc13f2517061eaa1364dcf853f36e1ea5ae.pdf"], "doi": []}, {"id": "113b06e70b7eead8ae7450bafe9c91656705024c", "title": "Face Alignment across Large Pose via MT-CNN Based 3D Shape Reconstruction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373832", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00039", "http://doi.org/10.1109/FG.2018.00039"]}, {"id": "8d9445e579837e83099e137f2aa65681ce029697", "title": "DeepIED: An epileptic discharge detector for EEG-fMRI based on deep learning", "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S2213158217303108", "https://doi.org/10.1016/j.nicl.2017.12.005", "https://www.ncbi.nlm.nih.gov/pubmed/29321970"]}, {"id": "806c07757431ab3fd91f4276d350186cf6f9b7e4", "title": "Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1892/5ac92f9c8f6e82e0cc7a843234c6c494c4cc.pdf"], "doi": []}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "51c7236feaa2ae23cef78c7bca75c69d7081e24a", "title": "Deep multi-frame face super-resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03196.pdf"], "doi": []}, {"id": "8fc730d22f33d08be927e5449f359dc15b5c3503", "title": "Measuring and modeling the perception of natural and unconstrained gaze in humans and machines", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09819.pdf"], "doi": []}, {"id": "587f81ae87b42c18c565694c694439c65557d6d5", "title": "DeepFace : Face Generation using Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/587f/81ae87b42c18c565694c694439c65557d6d5.pdf"], "doi": []}, {"id": "20260d36506911e04ad1efed1e60b06bfc178d52", "title": "Deep 3D face identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10714.pdf"], "doi": []}, {"id": "084011fe855c3aabb3de1c25174d78082d04a5b7", "title": "WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w5/Su_WebLogo-2M_Scalable_Logo_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/SuEtAl_ICCV17WS.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36236/Gong%20WebLogo-2M%20Scalable%202018%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265251", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.41", "http://doi.org/10.1109/ICCVW.2017.41"]}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961833", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.110", "http://doi.org/10.1109/FG.2017.110"]}, {"id": "f56a9a127a0c65f7a0977d93e260d74ed4d5aed9", "title": "3 D Face Recognition Under Unconstrained Settings Using Low-Cost Sensors", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f56a/9a127a0c65f7a0977d93e260d74ed4d5aed9.pdf"], "doi": []}, {"id": "317553d0c479cb9893b3884c96cfa681c80296a0", "title": "Facial Expression Recognition for Traumatic Brain Injured Patients", "year": "2018", "pdf": ["http://vbn.aau.dk/files/265229434/VISAPP_2018_189_CR.pdf", "http://www.scitepress.org/Papers/2018/67213/67213.pdf"], "doi": ["https://doi.org/10.5220/0006721305220530"]}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "1a8ab75050d1c5a6722d7fa05bebf8fd4edd698d", "title": "Towards on-farm pig face recognition using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.compind.2018.02.016"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "089a5982768a077028d3675a615b32e67a12a22c", "title": "Face Beauty Analysis via Manifold based Semi-Supervised Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/089a/5982768a077028d3675a615b32e67a12a22c.pdf"], "doi": []}, {"id": "9c9417e7a3c04f6304d3e609ea9ff320bff285e8", "title": "Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237854"]}, {"id": "88337c4ca3eeb00538b9a1ac54180d02187c68db", "title": "Learning Face Age Progression: A Pyramid Architecture of GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578109"]}, {"id": "de95fa1dd69a2d0d2b76539357062062f8b1e7b8", "title": "Face to Age", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/de95/fa1dd69a2d0d2b76539357062062f8b1e7b8.pdf"], "doi": []}, {"id": "3b6e90afe6b8dd28b3ac67e4b6c34dc4faa17aa8", "title": "Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-019-01154-8"]}, {"id": "d92084e376a795d3943df577d3b3f3b7d12eeae5", "title": "Face and Image Representation in Deep CNN Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961806", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.85", "http://doi.org/10.1109/FG.2017.85"]}, {"id": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.pdf"], "doi": []}, {"id": "6aa201b23b93dc51939e68bcf12e386d3b459f2d", "title": "Monitoring Patients in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961856", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.153", "http://doi.org/10.1109/FG.2017.153"]}, {"id": "f0225fd9e968a022ea6f993c1e44f01716908769", "title": "Learning the Cultural Consistent Facial Aesthetics by Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227351", "http://doi.org/10.1109/Culture.and.Computing.2017.53"]}, {"id": "523574aca71d8981b4122cce8d132f22391ef26e", "title": "MovieGraphs: Towards Understanding Human-Centric Situations from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578993"]}, {"id": "fd4537b92ab9fa7c653e9e5b9c4f815914a498c0", "title": "One-Sided Unsupervised Domain Mapping", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00826.pdf"], "doi": []}, {"id": "4edc7f27d4512b69be54abfc6b9876e5b00725ab", "title": "Facial Expression Recognition using Convolutional Neural Networks: State of the Art", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02903.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "260a57f4d099f3f2a2c2b458e92de15e4e4a47fc", "title": "Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hu_Attribute-Enhanced_Face_Recognition_ICCV_2017_paper.pdf", "https://pure.qub.ac.uk/portal/files/138226397/ICCV2017_Attribute_Enhanced_Face_Recognition_with_Neural_Tensor_Fusion_Networks.pdf", "https://www.research.ed.ac.uk/portal/files/41072997/hu2017neuralTensor.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237666", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.404", "http://doi.org/10.1109/ICCV.2017.404"]}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "174ef76c12e6426056ff2980bf220964030ed48e", "title": "How competitive are you: Analysis of people's attractiveness in an online dating system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019374", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019374", "http://doi.org/10.1109/ICME.2017.8019374"]}, {"id": "49a5d855f91c6ec6d1724a200d33e92c41f73480", "title": "Cascade Adversarial Machine Learning Regularized with a Unified Embedding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02582.pdf"], "doi": []}, {"id": "9a845ce802227a13de16f3e29eebeb3c8817f83b", "title": "Convolutional neural network approach for vision based student recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8281789"]}, {"id": "6187f91f1e53cf6f62afe30e01c7b1ed43505c9e", "title": "Localizing and Orienting Street Views Using Overhead Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00161.pdf"], "doi": []}, {"id": "a58ba304ca0c37d94c7227feeeffb600a492d902", "title": "Audio-Visual Speech Enhancement Based on Multimodal Deep Convolutional Neural Networks", "year": "", "pdf": [], "doi": []}, {"id": "42a48ce71daa2d05c698d2e9e90335320ddd9841", "title": "General-to-specific learning for facial attribute classification in the wild", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2018.09.003"]}, {"id": "71fd29c2ae9cc9e4f959268674b6b563c06d9480", "title": "End-to-end 3D shape inverse rendering of different classes of objects from a single input image", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05858.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "59b6ff409ae6f57525faff4b369af85c37a8dd80", "title": "Deep Attribute Driven Image Similarity Learning Using Limited Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241593", "http://doi.ieeecomputersociety.org/10.1109/ISM.2017.28", "http://doi.org/10.1109/ISM.2017.28"]}, {"id": "de06dcbe607f583794ce98f85caed4607a366b35", "title": "UAS Navigation with SqueezePoseNet\u2014Accuracy Boosting for Pose Regression by Data Augmentation", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/drones2010007", "https://publikationen.bibliothek.kit.edu/1000087401/19336945"]}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "3f768179cea3c710dac8e68c0a890c48cfdc8ed1", "title": "Face Template Protection Using Deep Convolutional Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w11/Jindal_Face_Template_Protection_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575550", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00087", "http://doi.org/10.1109/CVPRW.2018.00087"]}, {"id": "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "title": "On Learning 3D Face Morphable Model from In-the-wild Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09560.pdf"], "doi": []}, {"id": "954eca6c3daf17a081379d51980beb299c803d3a", "title": "Learning Deep Features for Hierarchical Classification of Mobile Phone Face Datasets in Heterogeneous Environments", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961740", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.139", "http://doi.org/10.1109/FG.2017.139"]}, {"id": "1e472cf9a290e8f59573628dba426cd6d74411f4", "title": "A Large-Scale Software-Generated Face Composite Sketch Database", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736902", "http://doi.org/10.1109/BIOSIG.2016.7736902", "https://dl.gi.de/20.500.12116/1212"]}, {"id": "e44e8b0e8b041afe4501f199fa8af7610cfd4259", "title": "Reduced Residual Nets (Red-Nets): Low Powered Adversarial Outlier Detectors", "year": "2018", "pdf": ["http://users.cis.fiu.edu/~chens/PDF/IRI18_Saad.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424741", "http://doi.ieeecomputersociety.org/10.1109/IRI.2018.00070", "http://doi.org/10.1109/IRI.2018.00070"]}, {"id": "ba654c84ec5817bd115983fef53c90ca68f880cc", "title": "Generalization in Metric Learning: Should the Embedding Layer Be Embedding Layer?", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658420"]}, {"id": "e6ca412a05002b51d358c2e3061913c3dab6b810", "title": "MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10580.pdf"], "doi": []}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "a9e8c08c69b8752a8afad752ec26a2b3807ede50", "title": "PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08657.pdf"], "doi": []}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"], "doi": []}, {"id": "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "title": "Survey of biometric pattern recognition via machine learning techniques", "year": "2018", "pdf": ["http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf"], "doi": ["https://doi.org/10.12988/ces.2018.84166"]}, {"id": "0b07e4341303272b26be11262feb66c0a4412c43", "title": "Deep Learned Cumulative Attribute Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373906", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00113", "http://doi.org/10.1109/FG.2018.00113"]}, {"id": "fd0a1a2ecf69a6c1a6efcb18b8f23e4d5402f601", "title": "ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02095.pdf"], "doi": []}, {"id": "d118454b38f3f0d4dd48d7775ea3683708b33325", "title": "Person Identification from Drones by Humans: Insights from Cognitive Psychology", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d118/454b38f3f0d4dd48d7775ea3683708b33325.pdf"], "doi": []}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "1280b35e4a20036fcfd82ee09f45a3fca190276f", "title": "Face Verification Based on Feature Transfer via PCA-SVM Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276888", "http://doi.ieeecomputersociety.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166", "http://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166"]}, {"id": "df7af280771a6c8302b75ed0a14ffe7854cca679", "title": "Prediction of users' facial attractiveness on an online dating website", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026293", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026293", "http://doi.org/10.1109/ICMEW.2017.8026293"]}, {"id": "b3e5cc26fb8ae57b5e9e6dc161d5ea3c67bcdeab", "title": "Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting From in the Wild Environments", "year": "2017", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/FG2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961852", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.122", "http://doi.org/10.1109/FG.2017.122"]}, {"id": "a8ff837f67f9fe9e6f562f5de56784b93b4f9dfe", "title": "XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05139.pdf"], "doi": []}, {"id": "db326e6b49121e7f80c802fd2e5b80a482c955df", "title": "What You Can't See Can Help You - Extended-Range Imaging for 3D-Mask Presentation Attack Detection", "year": "2017", "pdf": ["http://publications.idiap.ch/downloads/papers/2017/Bhattacharjee_BIOSIG2017_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8053524", "https://dl.gi.de/20.500.12116/4645"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "30885b71532eaed5827b5de5cb60d9b85bce7a08", "title": "A Multi-View Learning Approach to Deception Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373888"]}, {"id": "9857eeded6b7608ff862174742b38946102f5008", "title": "Interpretable Facial Relational Network Using Relational Importance", "year": "2017", "pdf": [], "doi": []}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "fd4b5766a8ace0d89676deb26a098949a96089a3", "title": "Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12167.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "d07483e2c1f89b490ae03507fd39bd3c0883f2d9", "title": "Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01763.pdf"], "doi": []}, {"id": "4589d6bbb3186fc001ea2a42ae1ea2718edba915", "title": "Recursive Cross-Domain Face/Sketch Generation from Limited Facial Parts", "year": "2017", "pdf": [], "doi": []}, {"id": "29c1f733a80c1e07acfdd228b7bcfb136c1dff98", "title": "Discriminatively Trained Latent Ordinal Model for Video Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.02318.pdf"], "doi": []}, {"id": "00c05adcd5157edba775782464402c2bfb998c82", "title": "Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b5fd/440edd27702c8dbfa38fac0bf23deacf33cb.pdf"], "doi": []}, {"id": "cfa205874bd192ab949132631a7eda995ecc57af", "title": "Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07457.pdf"], "doi": []}, {"id": "b632d47eb7421a3d622b0f1ceb009e4415ccc84d", "title": "Deep Perceptual Mapping for Cross-Modal Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05347.pdf"], "doi": []}, {"id": "cd6e32b00a53310f90a7138a41b855bf44129637", "title": "Persons-In-Places: a Deep Features Based Approach for Searching a Specific Person in a Specific Location", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1664", "http://www.informatica.si/index.php/informatica/article/download/1664/1031"]}, {"id": "6e7d799497b94954dc4232d840628c3a00263e42", "title": "Aalborg Universitet Deep Multimodal Pain Recognition : A Database and Comparison of Spatio-Temporal Visual", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6e7d/799497b94954dc4232d840628c3a00263e42.pdf"], "doi": []}, {"id": "4d90d7834ae25ee6176c096d5d6608555766c0b1", "title": "Face and Body Association for Video-Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354115", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00011", "http://doi.org/10.1109/WACV.2018.00011"]}, {"id": "b4c80df27276660522f8901aa90c129c15611821", "title": "On Detecting Domestic Abuse via Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575463"]}, {"id": "e2468c58e3178dd3a5dbbc1888a9d122c2727b76", "title": "Learning Face Deblurring Fast and Wide", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575269"]}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "2133475ba633c732292ccf405f07a0baea9d01b3", "title": "Demographic-Assisted Age-Invariant Face Recognition and Retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/sym10050148"]}, {"id": "01350214f850f43d72268df4f98b05901fbbe06c", "title": "1 Deep convolutional neural networks for detection of 2 polar mesocyclones from satellite mosaics 3", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0135/0214f850f43d72268df4f98b05901fbbe06c.pdf"], "doi": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961736", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.28", "http://doi.org/10.1109/FG.2017.28"]}, {"id": "116808d63af1cdfa30b9cb9abfa6883f932cc44f", "title": "Feature fusion with covariance matrix regularization in face recognition", "year": "2018", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/44512/Feature%20Fusion%20with%20Covariance%20Matrix%20Regularization%20in.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.1016/j.sigpro.2017.10.024"]}, {"id": "5bd98e03691089cec9a42f8b0a00152b4578b903", "title": "A Multimodal LSTM for Predicting Listener Empathic Responses Over Time", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04891.pdf"], "doi": []}, {"id": "de390a143720e697bc71c3727633b155bf25a2c1", "title": "High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de39/0a143720e697bc71c3727633b155bf25a2c1.pdf"], "doi": []}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "1e21b925b65303ef0299af65e018ec1e1b9b8d60", "title": "Unsupervised Cross-Domain Image Generation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.02200.pdf"], "doi": []}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "4fb11a58d5a3ffc0bb6d4ade334a366b4a431b02", "title": "The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00074.pdf"], "doi": []}, {"id": "a23e7e71fb92a56c2e7717f6356e8b69fc2f4bfc", "title": "Multimodal fusion of audio, scene, and face features for first impression estimation", "year": "2016", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/gurpinar16icpr_author_proof.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899605", "http://doi.org/10.1109/ICPR.2016.7899605"]}, {"id": "cf6c59d359466c41643017d2c212125aa0ee84b2", "title": "Weakly-supervised deep self-learning for face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552983", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552983", "http://doi.org/10.1109/ICME.2016.7552983"]}, {"id": "16371cf22f9de60dd1edd7178669e5ba69143686", "title": "Exploring LOTS in Deep Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2624/08f84d6c5c25cff15bec24a5a874e6a944d0.pdf"], "doi": []}, {"id": "2d2127532fbad4d5558ead3e5617e3d3004dd5cf", "title": "DeepFakes: a New Threat to Face Recognition? Assessment and Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08685.pdf"], "doi": []}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "d06bcb2d46342ee011e652990edf290a0876b502", "title": "Photo-realistic Face Images Synthesis for Learning-based Fine-scale 3D Face Reconstruction", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1708.00980"]}, {"id": "8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa", "title": "Dataset Augmentation for Pose and Lighting Invariant Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04326.pdf"], "doi": []}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"id": "c9ab493f7ab58e7923dfad04c48b860cfc5aaf30", "title": "Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7997822"]}, {"id": "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "title": "Coordinated Local Metric Learning", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406405", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.56", "http://doi.org/10.1109/ICCVW.2015.56"]}, {"id": "b28d061c0e26b4580f603c1fd919ce0c7a84c731", "title": "Face value of companies : deep learning for nonverbal communication", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b28d/061c0e26b4580f603c1fd919ce0c7a84c731.pdf"], "doi": []}, {"id": "6e3660e8efb976c916e61fe17ea90aea7d13aac4", "title": "BIER \u2014 Boosting Independent Embeddings Robustly", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Opitz_BIER_-_Boosting_ICCV_2017_paper.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/opitz_iccv17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237817", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.555", "http://doi.org/10.1109/ICCV.2017.555"]}, {"id": "195bec771d31eff04c8b0324878d2338ab594527", "title": "On Effectiveness of Anomaly Detection Approaches against Unseen Presentation Attacks in Face Anti-spoofing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411206"]}, {"id": "aeff403079022683b233decda556a6aee3225065", "title": "DeepFace: Face Generation using Deep Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01876.pdf"], "doi": []}, {"id": "31aa20911cc7a2b556e7d273f0bdd5a2f0671e0a", "title": "Patch-based Face Recognition using a Hierarchical Multi-label Matcher", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01417.pdf"], "doi": []}, {"id": "726b8aba2095eef076922351e9d3a724bb71cb51", "title": "DFaceNet : Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images", "year": "2017", "pdf": [], "doi": []}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "60f7de07de4d090990120483bd5407369b29a120", "title": "\u2113\u2081-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60f7/de07de4d090990120483bd5407369b29a120.pdf"], "doi": []}, {"id": "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "title": "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01727.pdf"], "doi": []}, {"id": "17ad76ef00d4cb584389682ca6b138a8bdc9a2da", "title": "Continuous Multimodal Emotion Recognition Approach for AVEC 2017", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05861.pdf"], "doi": []}, {"id": "f5ab93e4ec9d0c80ae6c1378e865df2411f19752", "title": "Dict Layer: A Structured Dictionary Layer", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w11/Chen_Dict_Layer_A_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575546", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00083", "http://doi.org/10.1109/CVPRW.2018.00083"]}, {"id": "c1c8ea4b2118095bea55cf6b51c36dbf95cc7f2c", "title": "Learning 3D Segment Descriptors for Place Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09270.pdf"], "doi": []}, {"id": "b8a5839f6b1e051f430f2b89d5a1a7e49a10655a", "title": "DCFNet: Deep Neural Network with Decomposed Convolutional Filters", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04145.pdf"], "doi": []}, {"id": "3f6da4965b214ea947dd3b6cd33b41ece89e7e79", "title": "Context-Aware Fusion for Continuous Biometric Authentication", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411227", "http://doi.org/10.1109/ICB2018.2018.00043"]}, {"id": "66436e96aafa7abd3b0700e8409dbb360775a9b8", "title": "Considering Race a Problem of Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638327"]}, {"id": "9aa36a46d63693c136cb8ca673128f2a2d4e08d5", "title": "[Regular Paper] KnowPain: Automated System for Detecting Pain in Neonates from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567471"]}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "title": "AcFR: Active Face Recognition Using Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w1/papers/Nakada_AcFR_Active_Face_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014745", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.11", "http://doi.org/10.1109/CVPRW.2017.11"]}, {"id": "7f6cd03e3b7b63fca7170e317b3bb072ec9889e0", "title": "A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09359.pdf"], "doi": []}, {"id": "64d9c5ab4cab193046ac839b74d182a472fe45ba", "title": "NosePose : a competitive , landmark-free methodology for head pose estimation in the wild", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/64d9/c5ab4cab193046ac839b74d182a472fe45ba.pdf"], "doi": []}, {"id": "bcd6e682c11eaf493017cb734e95d606e49648cb", "title": "BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099762"]}, {"id": "5f09018d330f8d62b9abd83d44f1097d945508e4", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"], "doi": []}, {"id": "5d80149e005894ab57f47e667f3e060e247d8e43", "title": "Lip reading using CNN and LSTM", "year": "2016", "pdf": [], "doi": []}, {"id": "71edcfe5e3a4e1678698a0659a7e51555291d242", "title": "Who's that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09162.pdf"], "doi": []}, {"id": "1999248e52154aa8e2aa4c1e60899e26794eb1f9", "title": "A two-stage learning approach to face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2016.12.006"]}, {"id": "9e86e9853c261f2e4affe61674ca26a537ba65de", "title": "Transfer Learning for Face Identification with Deep Face Model", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7979872", "http://doi.org/10.1109/CCBD.2016.014"]}, {"id": "a455cbde9dafdb099d83464c7f4729d8f17208ed", "title": "ODESSA/PLUMCOT at Albayzin multimodal diarization challenge 2018", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a455/cbde9dafdb099d83464c7f4729d8f17208ed.pdf"], "doi": []}, {"id": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"], "doi": []}, {"id": "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "title": "Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification", "year": "2018", "pdf": ["http://sergioescalera.com/wp-content/uploads/2018/05/FG2018_Expression-Change-Biometrics.pdf", "http://vbn.aau.dk/files/279731010/FG2018_Expression_Biometric_CameraReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373891", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00098", "http://doi.org/10.1109/FG.2018.00098"]}, {"id": "59efb1ac77c59abc8613830787d767100387c680", "title": "DIF : Dataset of Intoxicated Faces for Drunk Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10030.pdf"], "doi": []}, {"id": "3a3c47b6da1ea1b8d57ce41d9ddb54a774e1914d", "title": "High-Level Prediction Signals in a Low-Level Area of the Macaque Face-Processing Hierarchy", "year": "2017", "pdf": ["http://www.cnbc.cmu.edu/braingroup/papers/Schiedrzik_Freiwald_2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0896627317308425", "http://doi.org/10.1016/j.neuron.2017.09.007", "https://www.ncbi.nlm.nih.gov/pubmed/28957679"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "title": "Neural Face Editing with Intrinsic Image Disentangling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04131.pdf"], "doi": []}, {"id": "65783e66cb6d9c057edf7b37f6d0be24a78d3013", "title": "Recognition of Affect in the Wild Using Deep Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Kollias_Recognition_of_Affect_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/cvpr_workshop_paper_camera_ready_(2).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014981", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.247", "http://doi.org/10.1109/CVPRW.2017.247"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"], "doi": []}, {"id": "dbe101c7c4b5ea5986be38e4d6de70bfc4324683", "title": "1 Deep convolutional neural networks capabilities for 2 binary classification of polar mesocyclones in 3 satellite mosaics 4", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cd86/ad9c21ceff734446d26a08d89c893174dfb3.pdf"], "doi": []}, {"id": "4e4a4359c7dd25af7e2ef0910928cd9faa5d0cfb", "title": "End-to-End 3D Face Reconstruction with Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05020.pdf"], "doi": []}, {"id": "d94c7a89adf6f568bbe1510910850d5083a58b4f", "title": "Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11688.pdf"], "doi": []}, {"id": "08307351e8f2a40d7ff9bbee8deaa54dc1bad055", "title": "Face Recognition Based on CSGF(2D)2PCANet", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8435907", "http://doi.org/10.1109/ACCESS.2018.2865425"]}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "415c16201f65e92b089918340494ba2a798bdec5", "title": "Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03156.pdf"], "doi": []}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "7334ebde5892b618c24dbac47027f61cf0473fde", "title": "DeepStar: Detecting Starring Characters in Movies", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8604143"]}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "c1d11b94c8fecaed79f97966d4bfa8381d32ad16", "title": "Deep Domain Adaptation for Face Recognition using images captured from surveillance cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553278", "http://doi.org/10.23919/BIOSIG.2018.8553278"]}, {"id": "b8d9966941bc1e7a225d6f338fb3c1bd04bb2910", "title": "Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10938.pdf"], "doi": []}, {"id": "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "title": "Deep Face Recognition under Eyeglass and Scale Variation Using Extended Siamese Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575869", "http://doi.org/10.1109/ACPR.2017.48"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "b12431e61172443c534ea523a4d7407e847b5c5b", "title": "Yu\u0308z Tan\u0131maya Dayal\u0131 Kis\u0327i Bazl\u0131 Test Otomasyonu", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b124/31e61172443c534ea523a4d7407e847b5c5b.pdf"], "doi": []}, {"id": "6ebc601bba067af64b57d59039319650168df4c9", "title": "CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.00980.pdf"], "doi": []}, {"id": "92527ace7f75188b5ec209ff7d59f431343075e4", "title": "Video-based emotion recognition using CNN-RNN and C3D hybrid networks", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997632"]}, {"id": "25d75339720787e7003f2f103cf38cee8175972a", "title": "Optimistic and Pessimistic Neural Networks for Scene and Object Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07982.pdf"], "doi": []}, {"id": "fea83550a21f4b41057b031ac338170bacda8805", "title": "Learning a Metric Embedding for Face Recognition using the Multibatch Method", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.07270.pdf"], "doi": []}, {"id": "110359824a0e3b6480102b108372793265a24a86", "title": "Landmark perturbation-based data augmentation for unconstrained face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.03.011"]}, {"id": "0418cdad1a10b58cf1a526b5a65a465f9324d67f", "title": "Facial Micro-Expressions Grand Challenge 2018 Summary", "year": "2018", "pdf": ["http://pesona.mmu.edu.my/~johnsee/research/papers/files/summary-megc-fg18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373899", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00106", "http://doi.org/10.1109/FG.2018.00106"]}, {"id": "93ae0e1704b20b89149e3eabce39c7428063e963", "title": "Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578368"]}, {"id": "c18bf07d5161d6ca7afb6eb5a4f385b6bd2fc381", "title": "Leveraging Large Face Recognition Data for Emotion Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373902", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00109", "http://doi.org/10.1109/FG.2018.00109"]}, {"id": "f36303b994e571d45bea1961edf46a072f4b2ffe", "title": "Convolutional Neural Networks for Iris Presentation Attack Detection: Toward Cross-Dataset and Cross-Sensor Generalization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575375"]}, {"id": "fddc99348ba397c0f1a16f4ee44754fb7a411b76", "title": "Automatic Detection of Optic Disc in Retina Image Using CNN and CRF", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560299"]}, {"id": "1b55c4e804d1298cbbb9c507497177014a923d22", "title": "Incremental Class Representation Learning for Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1b55/c4e804d1298cbbb9c507497177014a923d22.pdf"], "doi": []}, {"id": "a75de488eaacb1dafffbe667465390f101498aaf", "title": "Rule-Based Facial Makeup Recommendation System", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961759", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.47", "http://doi.org/10.1109/FG.2017.47"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "da5932a4f3af37030f0460496d4e0b6f93294bfd", "title": "Learning Geometric Equivalence between Patterns Using Embedding Neural Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227457", "http://doi.org/10.1109/DICTA.2017.8227457"]}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"], "doi": []}, {"id": "f7242b7a146f62189f27a71ff56a26e17b26a363", "title": "SegMap: 3D Segment Mapping using Data-Driven Descriptors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09557.pdf"], "doi": []}, {"id": "f276d79e428183b457875dcccf2442c7832093bb", "title": "Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558494", "http://doi.org/10.1109/ACCESS.2018.2884969"]}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "title": "Multimodal emotion recognition based human-robot interaction enhancement", "year": "2018", "pdf": [], "doi": []}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"], "doi": []}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "0c2a9a6bee6dfa5240a79c9dc306c2354d3806e1", "title": "On Matching Faces with Alterations due to Plastic Surgery and Disguise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07318.pdf"], "doi": []}, {"id": "70e41be079ff20d213a37e09b9a82bfd2beb2191", "title": "Deep Convolutional Neural Networks Capabilities for Binary Classification of Polar Mesocyclones in Satellite Mosaics", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70e4/1be079ff20d213a37e09b9a82bfd2beb2191.pdf"], "doi": []}, {"id": "e260847323b48a79bd88dd95a1499cd3053d3645", "title": "Reconstructing perceived faces from brain activations with deep adversarial neural decoding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/937b/78204a7ac4aac6a8782f29c68322621dc1c2.pdf"], "doi": []}, {"id": "bc93a5d09aad16356808843338bdd34df6b5b01b", "title": "DEEP-SEE FACE: A Mobile Face Recognition System Dedicated to Visually Impaired People", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466782", "http://doi.org/10.1109/ACCESS.2018.2870334"]}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.pdf"], "doi": []}, {"id": "d9ca4c9b35b5a3eac4229e5e767caff339ab1641", "title": "Recovering Faces From Portraits with Auxiliary Facial Attributes", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8659142"]}, {"id": "fa72f77519d4e48d9dbb1f47eafdbc9bc4c824bd", "title": "Visual Transformation Aided Contrastive Learning for Video-Based Kinship Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Dibeklioglu_Visual_Transformation_Aided_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237531", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.269", "http://doi.org/10.1109/ICCV.2017.269"]}, {"id": "806589080e7a5e48ee4b8883fc819b521f749128", "title": "On the Learning of Deep Local Features for Robust Face Spoofing Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614337"]}, {"id": "03b31cbb8e64dc9402b76287f06f15840acff3f1", "title": "Privacy-Protective-GAN for Privacy Preserving Face De-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11390-019-1898-8"]}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "dd16038195c0f3ce6b1f3afc6a0482a12bb9ab6d", "title": "A Study on the Suppression of Amusement", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373850", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00057", "http://doi.org/10.1109/FG.2018.00057"]}, {"id": "0a91c7e4037912b9614eaf738aa732be7bc22ec1", "title": "Sparse, Smart Contours to Represent and Edit Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578468"]}, {"id": "a9286519e12675302b1d7d2fe0ca3cc4dc7d17f6", "title": "Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.08197.pdf"], "doi": []}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961800", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.79", "http://doi.org/10.1109/FG.2017.79"]}, {"id": "badde061da20510ca74b94818eb726d27ff2f491", "title": "Improving speech embedding using crossmodal transfer learning with audio-visual data", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6992-3"]}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "e908ce44fa94bb7ecf2a8b70cb5ec0b1a00b311a", "title": "Topology preserving graph matching for partial face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019548", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019548", "http://doi.org/10.1109/ICME.2017.8019548"]}, {"id": "53de11d144cd2eda7cf1bb644ae27f8ef2489289", "title": "Extending Detection with Privileged Information via Generalized Distillation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424637", "http://doi.org/10.1109/SPW.2018.00021"]}, {"id": "3fe269cbe3a15aca4663d7086e0622ec5eb93c2d", "title": "Neural Information Processing", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-04167-0"]}, {"id": "33e539cc9bab90ad9165f8482c1329d8870e9bb3", "title": "Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/33e5/39cc9bab90ad9165f8482c1329d8870e9bb3.pdf"], "doi": []}, {"id": "7b0b0e556a91057ce38a731de247e6a98ee65a2d", "title": "A Deep Learning Models for Blind Guidance by Integrating CNN and ELM", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622945", "http://doi.org/10.1109/HPCC%2FSmartCity%2FDSS.2018.00207", "https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00207"]}, {"id": "f2743ae62496a49d69a049141fcddcb3d1fffba4", "title": "Deep learning to predict the lab-of-origin of engineered DNA", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1038/s41467-018-05378-z", "https://www.ncbi.nlm.nih.gov/pubmed/30087331"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "7da069849066a55d219b9e5b043fb4e07dee2652", "title": "Image-based Family Verification in the wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7da0/69849066a55d219b9e5b043fb4e07dee2652.pdf"], "doi": []}, {"id": "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "title": "Searching a specific person in a specific location using deep features", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011138"]}, {"id": "91dec705d119cb3cc40da18f51aafac3c5c191ce", "title": "Person Recognition beyond the Visible Spectrum: Combining Body Shape and Texture from mmW Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411228", "http://doi.org/10.1109/ICB2018.2018.00044"]}, {"id": "065756857d5180a40b493e88f4eb3b24d30a1713", "title": "License plate detection and recognition using hierarchical feature layers from CNN", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6889-1"]}, {"id": "098363b29eef1471c494382338687f2fe98f6e15", "title": "Metadata-Based Feature Aggregation Network for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411212", "http://doi.org/10.1109/ICB2018.2018.00028", "https://doi.org/10.1109/ICB2018.2018.00028"]}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "0bbde476713458acbdbe86157bc5067b36cad2ad", "title": "Automated Pain Detection from Facial Expressions using FACS: A Review", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07988.pdf"], "doi": []}, {"id": "33cbaae593b6fc0d4cafdd41cec11e00956e251f", "title": "Predicting eye movement patterns from fMRI responses to natural scenes", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1038/s41467-018-07471-9", "https://www.ncbi.nlm.nih.gov/pubmed/30514836"]}, {"id": "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "title": "Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w26/papers/Kaya_Multi-Modal_Score_Fusion_CVPR_2017_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/kaya17chalearn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014944", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.210", "http://doi.org/10.1109/CVPRW.2017.210"]}, {"id": "a84bc1216f508ecdd8bb310e21d5f9bd15dc66d5", "title": "Adversarial image detection in deep neural networks", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-5853-4"]}, {"id": "f36647e63a11486ef9cf7a5a1c86a40fda5d408a", "title": "CS 229 Final Report : Artistic Style Transfer for Face Portraits", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f366/47e63a11486ef9cf7a5a1c86a40fda5d408a.pdf"], "doi": []}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "da8d0855e7760e86fbec47a3cfcf5acd8c700ca8", "title": "F 2 ConText : How to Extract Holistic Contexts of Persons of Interest for Enhancing Exploratory Analysis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/da8d/0855e7760e86fbec47a3cfcf5acd8c700ca8.pdf"], "doi": []}, {"id": "3a78f0c4b07ff756aec20a2f17ef0f25470c3cd6", "title": "Video Summarization via Multi-view Representative Selection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Meng_Video_Summarization_via_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265353", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.144", "http://doi.org/10.1109/ICCVW.2017.144"]}, {"id": "3fd203807fab28243f84d2360572796869ccde90", "title": "Deep Video Code for Efficient Face Video Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfe5/c97de89bbb775c7e44e02d5612f4dae7f95f.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "fd37603fe9808f32d53fd417b20ab0a47dbb2d9b", "title": "Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411207"]}, {"id": "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "title": "Attention-Based Template Adaptation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961846", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.116", "http://doi.org/10.1109/FG.2017.116"]}, {"id": "6789bddbabf234f31df992a3356b36a47451efc7", "title": "Unsupervised Generation of Free-Form and Parameterized Avatars.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6789/bddbabf234f31df992a3356b36a47451efc7.pdf"], "doi": []}, {"id": "a3f69a073dcfb6da8038607a9f14eb28b5dab2db", "title": "3D-Aided Deep Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a3f6/9a073dcfb6da8038607a9f14eb28b5dab2db.pdf"], "doi": []}, {"id": "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "title": "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Disentangled_Representation_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.141", "http://doi.org/10.1109/CVPR.2017.141"]}, {"id": "07d3dddb363870cfd980ca8d748c8b1418aad863", "title": "Learning from Differentially Private Neural Activations with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567659", "http://doi.ieeecomputersociety.org/10.1109/SEC.2018.00014", "http://doi.org/10.1109/SEC.2018.00014"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "b5ba0c50cfe2559f4197bb35cf50441118b768c8", "title": "audEERING's approach to the One-Minute-Gradual Emotion Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01222.pdf"], "doi": []}, {"id": "e065a2cb4534492ccf46d0afc81b9ad8b420c5ec", "title": "SFace: An Efficient Network for Face Detection in Large Scale Variations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06559.pdf"], "doi": []}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "3faebe9d5c47fc90998811c4ac768706283d605c", "title": "Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12a7/14d01dfef0dae2a113f0da3df223d6a5289c.pdf"], "doi": []}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373823", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00030", "http://doi.org/10.1109/FG.2018.00030"]}, {"id": "ea2d43aa2490331cd1406e1432ce706c53139323", "title": "Tracked Instance Search", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00479.pdf"], "doi": []}, {"id": "c877dfb0c636852f243e53dac4445681e1985a35", "title": "Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09487.pdf"], "doi": []}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "2a50dfe8d2157e1f75f587601fad8f3d81bbf10c", "title": "Illumination and pose variable face recognition via adaptively weighted ULBP_MHOG and WSRC", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2017.07.008"]}, {"id": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "62e8010e2ac1523d3a3e7e1c13cb34e63e85ce04", "title": "Transfer Learning for Action Unit Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07556.pdf"], "doi": []}, {"id": "4e32fbb58154e878dd2fd4b06398f85636fd0cf4", "title": "A Hierarchical Matcher using Local Classifier Chains", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02339.pdf"], "doi": []}, {"id": "894f1e924dfb8dfb843c42835fa79e386ac07383", "title": "Dimensional emotion recognition using visual and textual cues", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01416.pdf"], "doi": []}, {"id": "18d19cf4d09ac340428d091b24af561a3d5de3ea", "title": "Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08501.pdf"], "doi": []}, {"id": "a6e51e37b8fcc679d331753441ca531fcedbf002", "title": "Multimodal Visual Concept Learning with Weakly Supervised Techniques", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578614"]}, {"id": "d69b8121771f211cd4f0d9bc960954643731ca4b", "title": "OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578944"]}, {"id": "3de3c479164312ab3a1795ee84f20c16632c04c4", "title": "Scalable Deep Learning Logo Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11417.pdf"], "doi": []}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "03e60b7ea55f3bd30ccd50394723c63ce9b8d14c", "title": "The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614341"]}, {"id": "3cc5f82147bd203e6d0a2cf9d2b2ac0ce31e58d6", "title": "Automated face recognition of rhesus macaques", "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027017302637", "http://doi.org/10.1016/j.jneumeth.2017.07.020", "https://www.ncbi.nlm.nih.gov/pubmed/28739161"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579072"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/youtube_faces.json b/site/datasets/unknown/youtube_faces.json index 7c9cd958..a7e7b2b5 100644 --- a/site/datasets/unknown/youtube_faces.json +++ b/site/datasets/unknown/youtube_faces.json @@ -1 +1 @@ -{"id": "560e0e58d0059259ddf86fcec1fa7975dee6a868", "citations": [{"id": "2348f1fa2940b01ec90e023fac8cc96812189774", "title": "Face verification based on convolutional neural network and deep learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110157", "http://doi.ieeecomputersociety.org/10.1109/EWDTS.2017.8110157", "http://doi.org/10.1109/EWDTS.2017.8110157"]}, {"id": "38010ef51f34353d79d032991b703c1d158a9a16", "title": "A survey of image data indexing techniques", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10462-018-9673-8"]}, {"id": "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "title": "Attention-Based Template Adaptation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961846", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.116", "http://doi.org/10.1109/FG.2017.116"]}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"], "doi": []}, {"id": "f61c13c3f842ecd88defbb53e4fab52cb6cb7967", "title": "Fast Kernel Matrix Computation for Big Data Clustering", "year": "2015", "pdf": ["http://ikee.lib.auth.gr/record/270847/files/Procedia.pdf", "http://www.cs.tut.fi/~iosifidi/files/conference/2015_ICCS_FKMC.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.procs.2015.05.352"]}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}, {"id": "38ab777923e09eb3aeb7c2560244c7fef50b0499", "title": "Towards Generalized and Efficient Metric Learning on Riemannian Manifold", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0449.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F449", "https://doi.org/10.24963/ijcai.2018/449"]}, {"id": "d3d39e419ac98db2de1a9d5a05cb0b4ca5cae8fd", "title": "The SVM-Minus Similarity Score for Video Face Recognition", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d523.pdf", "http://www.cs.tau.ac.il/~wolf/papers/svm-minus.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Wolf_The_SVM-Minus_Similarity_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619296", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.452", "http://doi.org/10.1109/CVPR.2013.452"]}, {"id": "5d01283474b73a46d80745ad0cc0c4da14aae194", "title": "Classification schemes based on Partial Least Squares for face identification", "year": "2015", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2015_JVCI.pdf"], "doi": ["http://doi.org/10.1016/j.jvcir.2015.08.005"]}, {"id": "51c7236feaa2ae23cef78c7bca75c69d7081e24a", "title": "Deep multi-frame face super-resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03196.pdf"], "doi": []}, {"id": "b32631f456397462b3530757f3a73a2ccc362342", "title": "Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b326/31f456397462b3530757f3a73a2ccc362342.pdf"], "doi": []}, {"id": "cdcfc75f54405c77478ab776eb407c598075d9f8", "title": "Learning Binary Codes for Maximum Inner Product Search", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Shen_Learning_Binary_Codes_ICCV_2015_paper.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV15_binary.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_binary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410829", "http://doi.org/10.1109/ICCV.2015.472", "https://doi.org/10.1109/ICCV.2015.472"]}, {"id": "1176c886afbd8685ecf0094450a02eb96b950f71", "title": "A Bayesian Hashing approach and its application to face recognition", "year": "2016", "pdf": ["http://www.yugangjiang.info/publication/Neurocomputing_BayesianHashing.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2016.05.097"]}, {"id": "08903bf161a1e8dec29250a752ce9e2a508a711c", "title": "Joint Dimensionality Reduction and Metric Learning: A Geometric Take", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e7f6/bfb9bb591eb1404ae13f0fa13ad4a3179150.pdf"], "doi": []}, {"id": "b28d061c0e26b4580f603c1fd919ce0c7a84c731", "title": "Face value of companies : deep learning for nonverbal communication", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b28d/061c0e26b4580f603c1fd919ce0c7a84c731.pdf"], "doi": []}, {"id": "4268ae436db79c4eee8bc06e9475caff3ff70d57", "title": "Five Principles for Crowd-Source Experiments in Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961814", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.146", "http://doi.org/10.1109/FG.2017.146"]}, {"id": "6ffdbac58e15e0ff084310b0a804520ad4bd013e", "title": "Study on using individual differences in facial expressions for a face recognition system immune to spoofing attacks", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2015.0078"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.pdf"], "doi": []}, {"id": "63cf5fc2ee05eb9c6613043f585dba48c5561192", "title": "Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/63cf/5fc2ee05eb9c6613043f585dba48c5561192.pdf"], "doi": []}, {"id": "70341f61dfe2b92d8607814b52dfd0863a94310e", "title": "Impact of resolution and image quality on video face analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301750", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301750", "http://doi.org/10.1109/AVSS.2015.7301750"]}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "5da740682f080a70a30dc46b0fc66616884463ec", "title": "Real-Time Head Pose Estimation Using Multi-variate RVM on Faces in the Wild", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5da7/40682f080a70a30dc46b0fc66616884463ec.pdf"], "doi": []}, {"id": "1fbde67e87890e5d45864e66edb86136fbdbe20e", "title": "The Action Similarity Labeling Challenge", "year": "2012", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=29AAC1FEE14BE24B8F85A75F41F8A9CE?doi=10.1.1.400.8877&rep=rep1&type=pdf", "http://www.cs.tau.ac.il/~wolf/papers/aslan.pdf", "http://www.openu.ac.il/home/hassner/data/ASLAN/Papers/ASLAN_TPAMI12.pdf", "http://www.wisdom.weizmann.ac.il/mathusers/kliper/Papers/ASLAN_TPAMI12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6042884", "http://doi.org/10.1109/TPAMI.2011.209", "https://www.ncbi.nlm.nih.gov/pubmed/22262724", "https://www.wikidata.org/entity/Q44165124"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579072"]}, {"id": "20639423c42768d101b5fc6884edbed322a2ba7c", "title": "Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8429414"]}, {"id": "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "title": "Semantic Deep Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/988d/1295ec32ce41d06e7cf928f14a3ee079a11e.pdf"], "doi": []}, {"id": "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "title": "Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.07972.pdf"], "doi": []}, {"id": "57fd229097e4822292d19329a17ceb013b2cb648", "title": "Fast Structural Binary Coding", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/57fd/229097e4822292d19329a17ceb013b2cb648.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "d94c7a89adf6f568bbe1510910850d5083a58b4f", "title": "Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11688.pdf"], "doi": []}, {"id": "2e1415a814ae9abace5550e4893e13bd988c7ba1", "title": "Dictionary Based Face Recognition in Video Using Fuzzy Clustering and", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2e14/15a814ae9abace5550e4893e13bd988c7ba1.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "110359824a0e3b6480102b108372793265a24a86", "title": "Landmark perturbation-based data augmentation for unconstrained face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.03.011"]}, {"id": "534159e498e9cc61ea10917347637a59af38142d", "title": "3D human action recognition model based on image set and regularized multi-task leaning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.01.126"]}, {"id": "4e061a302816f5890a621eb278c6efa6e37d7e2f", "title": "Discriminative Deep Metric Learning for Face Verification in the Wild", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hu_Discriminative_Deep_Metric_2014_CVPR_paper.pdf", "https://3d869e85-a-62cb3a1a-s-sites.googlegroups.com/site/elujiwen/CVPR14.pdf?attachauth=ANoY7cqXcG4onAWfE6z3RtN1o7yJJjj84Xhj9a4KV1AHQVir4y8JsL0_F2bmBG-T0OOYhol37g9SbzkXrgL9e5AZ94VegxpIA0wALrnma-TeoHtXboqYql9wwJOV2ctIpuu-rTi1cDqBuOxd_H-hX4cBHJQIXTwCEQJv99mKt9l0Kdt6AU4yPwbDG5S7GpDNwYgwgTACw8N-BpJOIwyW1aJcyhy4xlRrAg%3D%3D&attredirects=1&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909638", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.242", "http://doi.org/10.1109/CVPR.2014.242"]}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"], "doi": []}, {"id": "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "title": "Eigen-PEP for Video Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3393/459600368be2c4c9878a3f65a57dcc0c2cfa.pdf"], "doi": []}, {"id": "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "title": "AcFR: Active Face Recognition Using Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w1/papers/Nakada_AcFR_Active_Face_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014745", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.11", "http://doi.org/10.1109/CVPRW.2017.11"]}, {"id": "992eabece1baa0d8dc2516613a192b283e1921d9", "title": "Neural class-specific regression for face verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09642.pdf"], "doi": []}, {"id": "03ac1c694bc84a27621da6bfe73ea9f7210c6d45", "title": "Chapter 1 Introduction to information security foundations and applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03ac/1c694bc84a27621da6bfe73ea9f7210c6d45.pdf"], "doi": []}, {"id": "24a20ebfe86859e0d91c2b44188f115b58ba8d9c", "title": "The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics", "year": "2018", "pdf": ["https://www.igd.fraunhofer.de/sites/default/files/media/biblio/2018/2018_samartzidis_the_dark_side_of_the_face_exploring_the_ultraviolet_spectrum_for_face_biometrics.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411220", "http://doi.org/10.1109/ICB2018.2018.00036"]}, {"id": "5e0eb34aeb2b58000726540336771053ecd335fc", "title": "Low-Quality Video Face Recognition with Deep Networks and Polygonal Chain Distance", "year": "2016", "pdf": ["http://ies.anthropomatik.kit.edu/ies/download/publ/ies_2016_herrmann_low_quality.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797061", "http://doi.org/10.1109/DICTA.2016.7797061"]}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "bb0ecedde7d6e837dc9a5e115302a2aaad1035e1", "title": "Face Verification: Strategies for Employing Deep Models", "year": "2018", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2018/07/Face-Verification-Strategies-for-Employing-Deep-Models.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373838", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00045", "http://doi.org/10.1109/FG.2018.00045"]}, {"id": "914c009f13aaa3d10bbc5532c1ca3a5199db8185", "title": "A distributed framework for trimmed Kernel k-Means clustering", "year": "2015", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2015/8_N_Tsapanos_ADATKKMCBD.pdf", "https://research-information.bristol.ac.uk/files/74278750/Ioannis_Pitas_A_Distributed_Framework_for_Trimmed_Kernel_k_Means_Clustering_2015.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2015.02.020"]}, {"id": "c05ae45c262b270df1e99a32efa35036aae8d950", "title": "Predicting Facial Attributes in Video Using Temporal Coherence and Motion-Attention", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354120", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00017", "http://doi.org/10.1109/WACV.2018.00017"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "22043cbd2b70cb8195d8d0500460ddc00ddb1a62", "title": "Separability-Oriented Subclass Discriminant Analysis", "year": "2018", "pdf": ["http://uir.ulster.ac.uk/37137/2/Separability-Oriented%20Subclass%20Discriminant%20Analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7862266", "http://doi.org/10.1109/TPAMI.2017.2672557", "https://www.ncbi.nlm.nih.gov/pubmed/28237920", "https://www.wikidata.org/entity/Q38941846"]}, {"id": "7ef0cc4f3f7566f96f168123bac1e07053a939b2", "title": "Triangular Similarity Metric Learning: a Siamese Architecture Approach. ( L'apprentissage de similarit\u00e9 triangulaire en utilisant des r\u00e9seaux siamois)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e735/b8212d8a81909753291d5d06789a917014f8.pdf"], "doi": []}, {"id": "34c1e9a6166f4732d1738db803467f7abc47ba87", "title": "Image Set Classification Using Sparse Bayesian Regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926720", "http://doi.org/10.1109/WACV.2017.137"]}, {"id": "c903af0d69edacf8d1bff3bfd85b9470f6c4c243", "title": "Nystr\u00f6m-based approximate kernel subspace learning", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_PR_NystromNPT.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.018"]}, {"id": "58542eeef9317ffab9b155579256d11efb4610f2", "title": "Face Recognition Revisited On Pose , Alignment , Color , Illumination And Expression-Pyten", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5854/2eeef9317ffab9b155579256d11efb4610f2.pdf"], "doi": []}, {"id": "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "title": "Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1135-x"]}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "07e5bd5d3830e55dc85677821eea8256e252f966", "title": "Hierarchical Representation Learning for Kinship Verification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1805.10557.pdf"], "doi": []}, {"id": "03ac704621312e0dc6537ccfa1dfce507746e355", "title": "Group Collaborative Representation for Image Set Classification", "year": "2018", "pdf": ["https://www.stat.berkeley.edu/~mmahoney/pubs/GCR_IJCV.pdf"], "doi": ["https://doi.org/10.1007/s11263-018-1088-0"]}, {"id": "b72eebffe697008048781ab7b768e0c96e52236a", "title": "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Discriminative_Covariance_Oriented_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wang_Discriminative_Covariance_Oriented_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Discriminative%20Covariance%20Oriented%20Representation%20Learning%20for%20Face%20Recognition%20with%20Image%20Sets_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100092", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.609", "http://doi.org/10.1109/CVPR.2017.609"]}, {"id": "33f4c796089ddf9aeb7bc1357e3add5fdc8ce4dd", "title": "Deep Continuous Clustering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01449.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "97129acc201d6e86e21514ca9ed3fcc0877f1367", "title": "Scaling Datacenter Accelerators with Compute-Reuse Architectures", "year": "2018", "pdf": ["http://parallel.princeton.edu/papers/corex-isca18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8416840", "http://dl.acm.org/citation.cfm?id=3276575", "http://doi.org/10.1109/ISCA.2018.00038"]}, {"id": "831fbef657cc5e1bbf298ce6aad6b62f00a5b5d9", "title": "Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.05526.pdf"], "doi": []}, {"id": "2be24e8a3f2b89bdaccd02521eff3b7bb917003e", "title": "Quality-Aware Estimation of Facial Landmarks in Video Sequences", "year": "2015", "pdf": ["http://vbn.aau.dk/files/204136069/WACV_MAH.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045950", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.96", "http://doi.org/10.1109/WACV.2015.96"]}, {"id": "9fab78015e6e91ba7241a923222acd6c576c6e27", "title": "Clothes Advertising by Targeting Principal Actors in Video", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8057385", "http://doi.ieeecomputersociety.org/10.1109/ICSS.2016.10", "http://doi.org/10.1109/ICSS.2016.10"]}, {"id": "6080f26675e44f692dd722b61905af71c5260af8", "title": "Descriptor transition tables for object retrieval using unconstrained cluttered video acquired using a consumer level handheld mobile device", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05073.pdf"], "doi": []}, {"id": "6fa3857faba887ed048a9e355b3b8642c6aab1d8", "title": "Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fa3/857faba887ed048a9e355b3b8642c6aab1d8.pdf"], "doi": []}, {"id": "ce6f459462ea9419ca5adcc549d1d10e616c0213", "title": "A Survey on Face Identification Methodologies in Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ce6f/459462ea9419ca5adcc549d1d10e616c0213.pdf"], "doi": []}, {"id": "bd2d7c7f0145028e85c102fe52655c2b6c26aeb5", "title": "Attribute-based People Search: Lessons Learnt from a Practical Surveillance System", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2578732"]}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "4688787d064e59023a304f7c9af950d192ddd33e", "title": "Investigating the Discriminative Power of Keystroke Sound", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_Ross_Metaxas_TIFS.pdf", "http://www.cse.msu.edu/~rossarun/pubs/RothLiuRossMetaxasKeystrokeAcoustics_TIFS2015.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2015TIFS_Roth_Liu_Ross_Metaxas.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6966780", "http://doi.org/10.1109/TIFS.2014.2374424"]}, {"id": "9dfef52f45372ee76b63905606779080026dfeb1", "title": "The Best Practice of University and Community Cooperation in Open Source Software Project - TV Station Media Images Query System for Example", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8636329"]}, {"id": "97865d31b5e771cf4162bc9eae7de6991ceb8bbf", "title": "Face and Gender Classification in Crowd Video", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9786/5d31b5e771cf4162bc9eae7de6991ceb8bbf.pdf"], "doi": []}, {"id": "533bfb82c54f261e6a2b7ed7d31a2fd679c56d18", "title": "Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TechReport_MSU-CSE-14-1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905796", "http://doi.org/10.1109/TIFS.2014.2359577"]}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "e9b6804cd56cadb9342ec2ce412aacba7afd0723", "title": "Face recognition from video using generalized mean deep learning neural network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743283"]}, {"id": "6dac0abef00a9f22b04973e396053476a12fba64", "title": "Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_BigDataSE_ALSOCSVM.pdf?dl=0", "https://research-information.bris.ac.uk/ws/files/75922781/Ioannis_Pitas_Large_scale_classification_by_an_approximate_least_squares_one_class_support_vector_machine_ensemble_2015.pdf", "https://research-information.bristol.ac.uk/files/75922781/Ioannis_Pitas_Large_scale_classification_by_an_approximate_least_squares_one_class_support_vector_machine_ensemble_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7345468", "http://doi.org/10.1109/Trustcom.2015.555"]}, {"id": "d0a6a700779ac8cb70d7bb95f9a5afdda60152d9", "title": "Pyramid Mean Representation of Image Sequences for Fast Face Retrieval in Unconstrained Video Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0a6/a700779ac8cb70d7bb95f9a5afdda60152d9.pdf"], "doi": []}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "title": "Survey of biometric pattern recognition via machine learning techniques", "year": "2018", "pdf": ["http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf"], "doi": ["https://doi.org/10.12988/ces.2018.84166"]}, {"id": "c7c03324833ba262eeaada0349afa1b5990c1ea7", "title": "A Wearable Face Recognition System on Google Glass for Assisting Social Interactions", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c7c0/3324833ba262eeaada0349afa1b5990c1ea7.pdf"], "doi": []}, {"id": "cbca355c5467f501d37b919d8b2a17dcb39d3ef9", "title": "Super-resolution of Very Low Resolution Faces from Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cbca/355c5467f501d37b919d8b2a17dcb39d3ef9.pdf"], "doi": []}, {"id": "0fb45e704ef3ca1f9c70e7be3fb93b53714ed8b5", "title": "Head Pose and Expression Transfer Using Facial Status Score", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961793", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.142", "http://doi.org/10.1109/FG.2017.142"]}, {"id": "098363b29eef1471c494382338687f2fe98f6e15", "title": "Metadata-Based Feature Aggregation Network for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411212", "http://doi.org/10.1109/ICB2018.2018.00028", "https://doi.org/10.1109/ICB2018.2018.00028"]}, {"id": "747fddd7345b60da121fc13c5440a18039b912e6", "title": "Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06106.pdf"], "doi": []}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"id": "9f2984081ef88c20d43b29788fdf732ceabd5d6a", "title": "ClusterNet : Semi-Supervised Clustering using Neural Networks", "year": "2018", "pdf": [], "doi": ["http://arxiv.org/abs/1806.01547"]}, {"id": "70f189798c8b9f2b31c8b5566a5cf3107050b349", "title": "The challenge of face recognition from digital point-and-shoot cameras", "year": "2013", "pdf": ["http://biometrics.nist.gov/cs_links/face/PaSC/pasc2013_NISTIR.pdf", "http://www.cs.colostate.edu/~draper/papers/beveridge_btas13.pdf", "http://www.cs.colostate.edu/~vision/pasc/docs/pasc2013_NISTIR_061013.pdf", "http://www.cs.colostate.edu/~vision/publications/pasc2013_NISTIR_061013.pdf", "http://www3.nd.edu/~kwb/BeveridgeEtAlBTAS_2013.pdf", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=913139", "https://www3.nd.edu/~kwb/Beveridge_EtAl_BTAS_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712704", "http://doi.org/10.1109/BTAS.2013.6712704"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73", "title": "A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/people/attach/Revision_COX_TIP_v3.0_1.pdf", "http://www.vision.ee.ethz.ch/~zzhiwu/papers/COX-Face-DB-TIP-final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7302053", "http://doi.org/10.1109/TIP.2015.2493448", "https://www.ncbi.nlm.nih.gov/pubmed/26513790"]}, {"id": "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "title": "Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification", "year": "2018", "pdf": ["http://sergioescalera.com/wp-content/uploads/2018/05/FG2018_Expression-Change-Biometrics.pdf", "http://vbn.aau.dk/files/279731010/FG2018_Expression_Biometric_CameraReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373891", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00098", "http://doi.org/10.1109/FG.2018.00098"]}, {"id": "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "title": "Searching a specific person in a specific location using deep features", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011138"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014820", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.86", "http://doi.org/10.1109/CVPRW.2017.86"]}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "title": "On Detecting Partially Occluded Faces with Pose Variations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8121748", "http://doi.ieeecomputersociety.org/10.1109/ISPAN-FCST-ISCC.2017.16", "http://doi.org/10.1109/ISPAN-FCST-ISCC.2017.16"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "b8dba0504d6b4b557d51a6cf4de5507141db60cf", "title": "Comparing Performances of Big Data Stream Processing Platforms with RAM3S", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8db/a0504d6b4b557d51a6cf4de5507141db60cf.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "945ef646679b6c575d3bbef9c6fc0a9629ac1b62", "title": "Learning a structured dictionary for video-based face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477689", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477689", "http://doi.org/10.1109/WACV.2016.7477689"]}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "6e9862146e7e081429da233960ba0dfa9e400fc2", "title": "Cross-Spectral Cross-Resolution Face Recognition in Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e98/62146e7e081429da233960ba0dfa9e400fc2.pdf"], "doi": []}, {"id": "384f972c81c52fe36849600728865ea50a0c4670", "title": "Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1604.07057.pdf"], "doi": []}, {"id": "d4c7d1a7a03adb2338704d2be7467495f2eb6c7b", "title": "Explorer Towards a Neural Statistician", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61e6/895782a3ce61bc03d1bb23bced7fa3139ccd.pdf"], "doi": []}, {"id": "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "title": "Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e805/bc872e18277c7cbfce82206cf1667cce22cc.pdf"], "doi": []}, {"id": "cd6e32b00a53310f90a7138a41b855bf44129637", "title": "Persons-In-Places: a Deep Features Based Approach for Searching a Specific Person in a Specific Location", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1664", "http://www.informatica.si/index.php/informatica/article/download/1664/1031"]}, {"id": "36bb5cca0f6a75be8e66f58cba214b90982ee52f", "title": "A Quantum Probability Inspired Framework for Image-Set Based Face Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961790", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.73", "http://doi.org/10.1109/FG.2017.73"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "title": "Probabilistic Elastic Matching for Pose Variant Face Verification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d499.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/CVPR13-PEM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619293", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.449", "http://doi.org/10.1109/CVPR.2013.449"]}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "787c1bb6d1f2341c5909a0d6d7314bced96f4681", "title": "Face Detection and Verification in Unconstrained Videos : Challenges , Detection , and Benchmark Evaluation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/787c/1bb6d1f2341c5909a0d6d7314bced96f4681.pdf"], "doi": []}, {"id": "dea9b9619936bb00cf845cdf4478435da5363057", "title": "Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579049"]}, {"id": "4a6fcf714f663618657effc341ae5961784504c7", "title": "Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_TIFS_ACSKDA.pdf?dl=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494969", "http://doi.org/10.1109/TIFS.2016.2582562"]}, {"id": "ec00ecb64fa206cea8b2e716955a738a96424084", "title": "Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Hashemi_Intelligent_Synthesis_Driven_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265512", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.301", "http://doi.org/10.1109/ICCVW.2017.301"]}, {"id": "0343f9401b98de36be957a30209fef45dd684270", "title": "On video based face recognition through adaptive sparse dictionary", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163134", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163134", "http://doi.org/10.1109/FG.2015.7163134"]}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "title": "A detailed survey on 2D and 3D still face and face video databases part II", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6950080"]}, {"id": "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "title": "Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05675.pdf"], "doi": []}, {"id": "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "title": "Face Verification via Class Sparsity Based Supervised Encoding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470420", "http://doi.org/10.1109/TPAMI.2016.2569436", "https://www.ncbi.nlm.nih.gov/pubmed/27214891", "https://www.wikidata.org/entity/Q50510181"]}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578645"]}, {"id": "56dca23481de9119aa21f9044efd7db09f618704", "title": "Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.02772.pdf"], "doi": []}, {"id": "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "title": "Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w39/Xu_Using_Psychophysical_Methods_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575433", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00266", "http://doi.org/10.1109/CVPRW.2018.00266"]}, {"id": "5a1255d65e8309131638b3eb94aad5c52ab3629a", "title": "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a12/55d65e8309131638b3eb94aad5c52ab3629a.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "c1f05b723e53ac4eb1133249b445c0011d42ca79", "title": "Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1162/neco_a_00990", "https://www.wikidata.org/entity/Q38733939"]}, {"id": "6cba90e81d460bb32188201a2c10622baa55015e", "title": "Approximate kernel extreme learning machine for large scale data classification", "year": "2017", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_NEUCOM_AKELM.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.023"]}, {"id": "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "title": "On the Reconstruction of Face Images from Deep Face Templates.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.00832.pdf"], "doi": []}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"], "doi": []}, {"id": "c9984c07eb657d6693e2e205518c9f05cbed75ff", "title": "Scalable Laplacian K-modes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13044.pdf"], "doi": []}, {"id": "af6a160f6e2568cb7dc9c72c1b4af1e5656bf557", "title": "A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14363/1/Wu17.pdf", "https://repository.kaust.edu.sa/bitstream/handle/10754/621254/10.1016-j.patcog.2016.10.022.pdf?isAllowed=y&sequence=1", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2016b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.022"]}, {"id": "c68ec931585847b37cde9f910f40b2091a662e83", "title": "A Comparative Evaluation of Dotted Raster-Stereography and Feature-Based Techniques for Automated Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c68e/c931585847b37cde9f910f40b2091a662e83.pdf"], "doi": []}, {"id": "4fac09969ee80d485876e3198c7177181c600a4a", "title": "Face Retrieval on Large-Scale Video Data", "year": "2015", "pdf": ["http://akme-a2.iosb.fraunhofer.de/EatThisGoogleScholar/d/2015_Face%20retrieval%20on%20large-scale%20video%20data.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7158339", "http://doi.ieeecomputersociety.org/10.1109/CRV.2015.32", "http://doi.org/10.1109/CRV.2015.32"]}, {"id": "30fd7b1f8502b1c1d7a855946d99d2d5323ec973", "title": "Big Data Analysis for 2 Media Production", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/30fd/7b1f8502b1c1d7a855946d99d2d5323ec973.pdf"], "doi": []}, {"id": "13fd0a4d06f30a665fc0f6938cea6572f3b496f7", "title": "Regularized Extreme Learning Machine for Large-scale Media Content Analysis", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_INNS_RELM.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.procs.2015.07.319"]}, {"id": "bcfac093aa4a67d405a088e56ee4980872661070", "title": "Hybrid Data Storage Framework for the Biometrics Domain", "year": "2014", "pdf": [], "doi": []}, {"id": "a955033ca6716bf9957b362b77092592461664b4", "title": "Video Based Face Recognition Using Artificial Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a955/033ca6716bf9957b362b77092592461664b4.pdf"], "doi": []}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961833", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.110", "http://doi.org/10.1109/FG.2017.110"]}, {"id": "2a612a7037646276ff98141d3e7abbc9c91fccb8", "title": "A Compact and Discriminative Face Track Descriptor", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Parkhi_A_Compact_and_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vedaldi//assets/pubs/parkhi14compact-presentation.pdf", "http://www.robots.ox.ac.uk/~vedaldi/assets/pubs/parkhi14compact.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2014/Parkhi14/parkhi14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909615", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.219", "http://doi.org/10.1109/CVPR.2014.219"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"], "doi": []}, {"id": "7fa00c81f7c2d8da1551334b0e7bc3d7fd43130c", "title": "Deep Reconstruction Models for Image Set Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6888522", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2353635", "http://doi.org/10.1109/TPAMI.2014.2353635", "https://www.ncbi.nlm.nih.gov/pubmed/26353289"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "3cd5b1d71c1d6a50fcc986589f2d0026c68d9803", "title": "On Sifts and Their Scales Lihi Zelnik-manor Technion", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3cd5/b1d71c1d6a50fcc986589f2d0026c68d9803.pdf"], "doi": []}, {"id": "60643bdab1c6261576e6610ea64ea0c0b200a28d", "title": "Multi-manifold metric learning for face recognition based on image sets", "year": "2014", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=08D9040248A65374A3E7B27F6E663DBA?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=C50050C87423C0F7786F79965EBC3FE4?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=F7EE4AA4D8CBDB1F78E966BCF4CBF01F?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf?isAllowed=y&sequence=1"], "doi": ["http://doi.org/10.1016/j.jvcir.2014.08.006"]}, {"id": "38f7f3c72e582e116f6f079ec9ae738894785b96", "title": "A New Technique for Face Matching after Plastic Surgery in Forensics", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/38f7/f3c72e582e116f6f079ec9ae738894785b96.pdf"], "doi": []}, {"id": "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "title": "Probabilistic Knowledge Transfer for Deep Representation Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "e378ce25579f3676ca50c8f6454e92a886b9e4d7", "title": "Robust Video Super-Resolution with Learned Temporal Dynamics", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Robust_Video_Super-Resolution_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237536", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.274", "http://doi.org/10.1109/ICCV.2017.274"]}, {"id": "03adcf58d947a412f3904a79f2ab51cfdf0e838a", "title": "Video-based face recognition : a survey", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/03ad/cf58d947a412f3904a79f2ab51cfdf0e838a.pdf"], "doi": []}, {"id": "59a35b63cf845ebf0ba31c290423e24eb822d245", "title": "The FaceSketchID System: Matching Facial Composites to Mugshots", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TechReport_MSU-CSE-14-6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6912947", "http://doi.org/10.1109/TIFS.2014.2360825"]}, {"id": "1fd2ed45fb3ba77f10c83f0eef3b66955645dfe0", "title": "Generalized Unsupervised Manifold Alignment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1fd2/ed45fb3ba77f10c83f0eef3b66955645dfe0.pdf"], "doi": []}, {"id": "5b01d4338734aefb16ee82c4c59763d3abc008e6", "title": "A Robust Face Recognition Algorithm Based on Kernel Regularized Relevance-Weighted Discriminant Analysis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5b01/d4338734aefb16ee82c4c59763d3abc008e6.pdf"], "doi": []}, {"id": "26fcefb80af66391e07e6239933de943c1cddc6e", "title": "Pose, illumination and expression invariant pairwise face-similarity measure via Doppelg\u00e4nger list comparison", "year": "2011", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2014/09/multipieNN_final_01.pdf", "http://www.jdl.ac.cn/project/faceId/paperreading/Paper/xliu_20120315_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126535", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126535", "http://doi.org/10.1109/ICCV.2011.6126535"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "bcc172a1051be261afacdd5313619881cbe0f676", "title": "A fast face clustering method for indexing applications on mobile phones", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002197.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952546", "http://doi.org/10.1109/ICASSP.2017.7952546"]}, {"id": "19808134b780b342e21f54b60095b181dfc7a600", "title": "SIFTing Through Scales", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/siftscales/HassneretalTPAMI16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7516703", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2592916", "http://doi.org/10.1109/TPAMI.2016.2592916", "https://www.ncbi.nlm.nih.gov/pubmed/27448341"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"], "doi": []}, {"id": "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "title": "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Rao_Attention-Aware_Deep_Reinforcement_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237686", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.424", "http://doi.org/10.1109/ICCV.2017.424"]}, {"id": "43dce79cf815b5c7068b1678f6200dabf8f5de31", "title": "Deep multi-frame face hallucination for face identification", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1709.03196"]}]}
\ No newline at end of file +{"id": "560e0e58d0059259ddf86fcec1fa7975dee6a868", "citations": [{"id": "2348f1fa2940b01ec90e023fac8cc96812189774", "title": "Face verification based on convolutional neural network and deep learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110157", "http://doi.ieeecomputersociety.org/10.1109/EWDTS.2017.8110157", "http://doi.org/10.1109/EWDTS.2017.8110157"]}, {"id": "38010ef51f34353d79d032991b703c1d158a9a16", "title": "A survey of image data indexing techniques", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10462-018-9673-8"]}, {"id": "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "title": "Attention-Based Template Adaptation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961846", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.116", "http://doi.org/10.1109/FG.2017.116"]}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"], "doi": []}, {"id": "f61c13c3f842ecd88defbb53e4fab52cb6cb7967", "title": "Fast Kernel Matrix Computation for Big Data Clustering", "year": "2015", "pdf": ["http://ikee.lib.auth.gr/record/270847/files/Procedia.pdf", "http://www.cs.tut.fi/~iosifidi/files/conference/2015_ICCS_FKMC.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.procs.2015.05.352"]}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}, {"id": "38ab777923e09eb3aeb7c2560244c7fef50b0499", "title": "Towards Generalized and Efficient Metric Learning on Riemannian Manifold", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0449.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F449", "https://doi.org/10.24963/ijcai.2018/449"]}, {"id": "d3d39e419ac98db2de1a9d5a05cb0b4ca5cae8fd", "title": "The SVM-Minus Similarity Score for Video Face Recognition", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d523.pdf", "http://www.cs.tau.ac.il/~wolf/papers/svm-minus.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Wolf_The_SVM-Minus_Similarity_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619296", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.452", "http://doi.org/10.1109/CVPR.2013.452"]}, {"id": "5d01283474b73a46d80745ad0cc0c4da14aae194", "title": "Classification schemes based on Partial Least Squares for face identification", "year": "2015", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2015_JVCI.pdf"], "doi": ["http://doi.org/10.1016/j.jvcir.2015.08.005"]}, {"id": "51c7236feaa2ae23cef78c7bca75c69d7081e24a", "title": "Deep multi-frame face super-resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03196.pdf"], "doi": []}, {"id": "b32631f456397462b3530757f3a73a2ccc362342", "title": "Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b326/31f456397462b3530757f3a73a2ccc362342.pdf"], "doi": []}, {"id": "cdcfc75f54405c77478ab776eb407c598075d9f8", "title": "Learning Binary Codes for Maximum Inner Product Search", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Shen_Learning_Binary_Codes_ICCV_2015_paper.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV15_binary.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_binary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410829", "http://doi.org/10.1109/ICCV.2015.472", "https://doi.org/10.1109/ICCV.2015.472"]}, {"id": "1176c886afbd8685ecf0094450a02eb96b950f71", "title": "A Bayesian Hashing approach and its application to face recognition", "year": "2016", "pdf": ["http://www.yugangjiang.info/publication/Neurocomputing_BayesianHashing.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2016.05.097"]}, {"id": "08903bf161a1e8dec29250a752ce9e2a508a711c", "title": "Joint Dimensionality Reduction and Metric Learning: A Geometric Take", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e7f6/bfb9bb591eb1404ae13f0fa13ad4a3179150.pdf"], "doi": []}, {"id": "b28d061c0e26b4580f603c1fd919ce0c7a84c731", "title": "Face value of companies : deep learning for nonverbal communication", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b28d/061c0e26b4580f603c1fd919ce0c7a84c731.pdf"], "doi": []}, {"id": "4268ae436db79c4eee8bc06e9475caff3ff70d57", "title": "Five Principles for Crowd-Source Experiments in Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961814", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.146", "http://doi.org/10.1109/FG.2017.146"]}, {"id": "6ffdbac58e15e0ff084310b0a804520ad4bd013e", "title": "Study on using individual differences in facial expressions for a face recognition system immune to spoofing attacks", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2015.0078"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.pdf"], "doi": []}, {"id": "63cf5fc2ee05eb9c6613043f585dba48c5561192", "title": "Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/63cf/5fc2ee05eb9c6613043f585dba48c5561192.pdf"], "doi": []}, {"id": "70341f61dfe2b92d8607814b52dfd0863a94310e", "title": "Impact of resolution and image quality on video face analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301750", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301750", "http://doi.org/10.1109/AVSS.2015.7301750"]}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "5da740682f080a70a30dc46b0fc66616884463ec", "title": "Real-Time Head Pose Estimation Using Multi-variate RVM on Faces in the Wild", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5da7/40682f080a70a30dc46b0fc66616884463ec.pdf"], "doi": []}, {"id": "1fbde67e87890e5d45864e66edb86136fbdbe20e", "title": "The Action Similarity Labeling Challenge", "year": "2012", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=29AAC1FEE14BE24B8F85A75F41F8A9CE?doi=10.1.1.400.8877&rep=rep1&type=pdf", "http://www.cs.tau.ac.il/~wolf/papers/aslan.pdf", "http://www.openu.ac.il/home/hassner/data/ASLAN/Papers/ASLAN_TPAMI12.pdf", "http://www.wisdom.weizmann.ac.il/mathusers/kliper/Papers/ASLAN_TPAMI12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6042884", "http://doi.org/10.1109/TPAMI.2011.209", "https://www.ncbi.nlm.nih.gov/pubmed/22262724", "https://www.wikidata.org/entity/Q44165124"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579072"]}, {"id": "20639423c42768d101b5fc6884edbed322a2ba7c", "title": "Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8429414"]}, {"id": "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "title": "Semantic Deep Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/988d/1295ec32ce41d06e7cf928f14a3ee079a11e.pdf"], "doi": []}, {"id": "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "title": "Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.07972.pdf"], "doi": []}, {"id": "57fd229097e4822292d19329a17ceb013b2cb648", "title": "Fast Structural Binary Coding", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/57fd/229097e4822292d19329a17ceb013b2cb648.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "d94c7a89adf6f568bbe1510910850d5083a58b4f", "title": "Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11688.pdf"], "doi": []}, {"id": "2e1415a814ae9abace5550e4893e13bd988c7ba1", "title": "Dictionary Based Face Recognition in Video Using Fuzzy Clustering and", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2e14/15a814ae9abace5550e4893e13bd988c7ba1.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "110359824a0e3b6480102b108372793265a24a86", "title": "Landmark perturbation-based data augmentation for unconstrained face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.03.011"]}, {"id": "534159e498e9cc61ea10917347637a59af38142d", "title": "3D human action recognition model based on image set and regularized multi-task leaning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.01.126"]}, {"id": "4e061a302816f5890a621eb278c6efa6e37d7e2f", "title": "Discriminative Deep Metric Learning for Face Verification in the Wild", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hu_Discriminative_Deep_Metric_2014_CVPR_paper.pdf", "https://3d869e85-a-62cb3a1a-s-sites.googlegroups.com/site/elujiwen/CVPR14.pdf?attachauth=ANoY7cqXcG4onAWfE6z3RtN1o7yJJjj84Xhj9a4KV1AHQVir4y8JsL0_F2bmBG-T0OOYhol37g9SbzkXrgL9e5AZ94VegxpIA0wALrnma-TeoHtXboqYql9wwJOV2ctIpuu-rTi1cDqBuOxd_H-hX4cBHJQIXTwCEQJv99mKt9l0Kdt6AU4yPwbDG5S7GpDNwYgwgTACw8N-BpJOIwyW1aJcyhy4xlRrAg%3D%3D&attredirects=1&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909638", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.242", "http://doi.org/10.1109/CVPR.2014.242"]}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"], "doi": []}, {"id": "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "title": "Eigen-PEP for Video Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3393/459600368be2c4c9878a3f65a57dcc0c2cfa.pdf"], "doi": []}, {"id": "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "title": "AcFR: Active Face Recognition Using Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w1/papers/Nakada_AcFR_Active_Face_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014745", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.11", "http://doi.org/10.1109/CVPRW.2017.11"]}, {"id": "992eabece1baa0d8dc2516613a192b283e1921d9", "title": "Neural class-specific regression for face verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09642.pdf"], "doi": []}, {"id": "03ac1c694bc84a27621da6bfe73ea9f7210c6d45", "title": "Chapter 1 Introduction to information security foundations and applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03ac/1c694bc84a27621da6bfe73ea9f7210c6d45.pdf"], "doi": []}, {"id": "24a20ebfe86859e0d91c2b44188f115b58ba8d9c", "title": "The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics", "year": "2018", "pdf": ["https://www.igd.fraunhofer.de/sites/default/files/media/biblio/2018/2018_samartzidis_the_dark_side_of_the_face_exploring_the_ultraviolet_spectrum_for_face_biometrics.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411220", "http://doi.org/10.1109/ICB2018.2018.00036"]}, {"id": "5e0eb34aeb2b58000726540336771053ecd335fc", "title": "Low-Quality Video Face Recognition with Deep Networks and Polygonal Chain Distance", "year": "2016", "pdf": ["http://ies.anthropomatik.kit.edu/ies/download/publ/ies_2016_herrmann_low_quality.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797061", "http://doi.org/10.1109/DICTA.2016.7797061"]}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "bb0ecedde7d6e837dc9a5e115302a2aaad1035e1", "title": "Face Verification: Strategies for Employing Deep Models", "year": "2018", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2018/07/Face-Verification-Strategies-for-Employing-Deep-Models.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373838", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00045", "http://doi.org/10.1109/FG.2018.00045"]}, {"id": "914c009f13aaa3d10bbc5532c1ca3a5199db8185", "title": "A distributed framework for trimmed Kernel k-Means clustering", "year": "2015", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2015/8_N_Tsapanos_ADATKKMCBD.pdf", "https://research-information.bristol.ac.uk/files/74278750/Ioannis_Pitas_A_Distributed_Framework_for_Trimmed_Kernel_k_Means_Clustering_2015.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2015.02.020"]}, {"id": "c05ae45c262b270df1e99a32efa35036aae8d950", "title": "Predicting Facial Attributes in Video Using Temporal Coherence and Motion-Attention", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354120", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00017", "http://doi.org/10.1109/WACV.2018.00017"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "22043cbd2b70cb8195d8d0500460ddc00ddb1a62", "title": "Separability-Oriented Subclass Discriminant Analysis", "year": "2018", "pdf": ["http://uir.ulster.ac.uk/37137/2/Separability-Oriented%20Subclass%20Discriminant%20Analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7862266", "http://doi.org/10.1109/TPAMI.2017.2672557", "https://www.ncbi.nlm.nih.gov/pubmed/28237920", "https://www.wikidata.org/entity/Q38941846"]}, {"id": "7ef0cc4f3f7566f96f168123bac1e07053a939b2", "title": "Triangular Similarity Metric Learning: a Siamese Architecture Approach. ( L'apprentissage de similarit\u00e9 triangulaire en utilisant des r\u00e9seaux siamois)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e735/b8212d8a81909753291d5d06789a917014f8.pdf"], "doi": []}, {"id": "34c1e9a6166f4732d1738db803467f7abc47ba87", "title": "Image Set Classification Using Sparse Bayesian Regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926720", "http://doi.org/10.1109/WACV.2017.137"]}, {"id": "c903af0d69edacf8d1bff3bfd85b9470f6c4c243", "title": "Nystr\u00f6m-based approximate kernel subspace learning", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_PR_NystromNPT.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.018"]}, {"id": "58542eeef9317ffab9b155579256d11efb4610f2", "title": "Face Recognition Revisited On Pose , Alignment , Color , Illumination And Expression-Pyten", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5854/2eeef9317ffab9b155579256d11efb4610f2.pdf"], "doi": []}, {"id": "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "title": "Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1135-x"]}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "07e5bd5d3830e55dc85677821eea8256e252f966", "title": "Hierarchical Representation Learning for Kinship Verification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1805.10557.pdf"], "doi": []}, {"id": "03ac704621312e0dc6537ccfa1dfce507746e355", "title": "Group Collaborative Representation for Image Set Classification", "year": "2018", "pdf": ["https://www.stat.berkeley.edu/~mmahoney/pubs/GCR_IJCV.pdf"], "doi": ["https://doi.org/10.1007/s11263-018-1088-0"]}, {"id": "b72eebffe697008048781ab7b768e0c96e52236a", "title": "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Discriminative_Covariance_Oriented_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wang_Discriminative_Covariance_Oriented_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Discriminative%20Covariance%20Oriented%20Representation%20Learning%20for%20Face%20Recognition%20with%20Image%20Sets_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100092", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.609", "http://doi.org/10.1109/CVPR.2017.609"]}, {"id": "33f4c796089ddf9aeb7bc1357e3add5fdc8ce4dd", "title": "Deep Continuous Clustering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01449.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "97129acc201d6e86e21514ca9ed3fcc0877f1367", "title": "Scaling Datacenter Accelerators with Compute-Reuse Architectures", "year": "2018", "pdf": ["http://parallel.princeton.edu/papers/corex-isca18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8416840", "http://dl.acm.org/citation.cfm?id=3276575", "http://doi.org/10.1109/ISCA.2018.00038"]}, {"id": "831fbef657cc5e1bbf298ce6aad6b62f00a5b5d9", "title": "Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.05526.pdf"], "doi": []}, {"id": "2be24e8a3f2b89bdaccd02521eff3b7bb917003e", "title": "Quality-Aware Estimation of Facial Landmarks in Video Sequences", "year": "2015", "pdf": ["http://vbn.aau.dk/files/204136069/WACV_MAH.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045950", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.96", "http://doi.org/10.1109/WACV.2015.96"]}, {"id": "9fab78015e6e91ba7241a923222acd6c576c6e27", "title": "Clothes Advertising by Targeting Principal Actors in Video", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8057385", "http://doi.ieeecomputersociety.org/10.1109/ICSS.2016.10", "http://doi.org/10.1109/ICSS.2016.10"]}, {"id": "6080f26675e44f692dd722b61905af71c5260af8", "title": "Descriptor transition tables for object retrieval using unconstrained cluttered video acquired using a consumer level handheld mobile device", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05073.pdf"], "doi": []}, {"id": "6fa3857faba887ed048a9e355b3b8642c6aab1d8", "title": "Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fa3/857faba887ed048a9e355b3b8642c6aab1d8.pdf"], "doi": []}, {"id": "ce6f459462ea9419ca5adcc549d1d10e616c0213", "title": "A Survey on Face Identification Methodologies in Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ce6f/459462ea9419ca5adcc549d1d10e616c0213.pdf"], "doi": []}, {"id": "bd2d7c7f0145028e85c102fe52655c2b6c26aeb5", "title": "Attribute-based People Search: Lessons Learnt from a Practical Surveillance System", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2578732"]}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "4688787d064e59023a304f7c9af950d192ddd33e", "title": "Investigating the Discriminative Power of Keystroke Sound", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_Ross_Metaxas_TIFS.pdf", "http://www.cse.msu.edu/~rossarun/pubs/RothLiuRossMetaxasKeystrokeAcoustics_TIFS2015.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2015TIFS_Roth_Liu_Ross_Metaxas.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6966780", "http://doi.org/10.1109/TIFS.2014.2374424"]}, {"id": "9dfef52f45372ee76b63905606779080026dfeb1", "title": "The Best Practice of University and Community Cooperation in Open Source Software Project - TV Station Media Images Query System for Example", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8636329"]}, {"id": "97865d31b5e771cf4162bc9eae7de6991ceb8bbf", "title": "Face and Gender Classification in Crowd Video", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9786/5d31b5e771cf4162bc9eae7de6991ceb8bbf.pdf"], "doi": []}, {"id": "533bfb82c54f261e6a2b7ed7d31a2fd679c56d18", "title": "Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TechReport_MSU-CSE-14-1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905796", "http://doi.org/10.1109/TIFS.2014.2359577"]}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "e9b6804cd56cadb9342ec2ce412aacba7afd0723", "title": "Face recognition from video using generalized mean deep learning neural network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743283"]}, {"id": "6dac0abef00a9f22b04973e396053476a12fba64", "title": "Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_BigDataSE_ALSOCSVM.pdf?dl=0", "https://research-information.bris.ac.uk/ws/files/75922781/Ioannis_Pitas_Large_scale_classification_by_an_approximate_least_squares_one_class_support_vector_machine_ensemble_2015.pdf", "https://research-information.bristol.ac.uk/files/75922781/Ioannis_Pitas_Large_scale_classification_by_an_approximate_least_squares_one_class_support_vector_machine_ensemble_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7345468", "http://doi.org/10.1109/Trustcom.2015.555"]}, {"id": "d0a6a700779ac8cb70d7bb95f9a5afdda60152d9", "title": "Pyramid Mean Representation of Image Sequences for Fast Face Retrieval in Unconstrained Video Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0a6/a700779ac8cb70d7bb95f9a5afdda60152d9.pdf"], "doi": []}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "title": "Survey of biometric pattern recognition via machine learning techniques", "year": "2018", "pdf": ["http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf"], "doi": ["https://doi.org/10.12988/ces.2018.84166"]}, {"id": "c7c03324833ba262eeaada0349afa1b5990c1ea7", "title": "A Wearable Face Recognition System on Google Glass for Assisting Social Interactions", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c7c0/3324833ba262eeaada0349afa1b5990c1ea7.pdf"], "doi": []}, {"id": "cbca355c5467f501d37b919d8b2a17dcb39d3ef9", "title": "Super-resolution of Very Low Resolution Faces from Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cbca/355c5467f501d37b919d8b2a17dcb39d3ef9.pdf"], "doi": []}, {"id": "0fb45e704ef3ca1f9c70e7be3fb93b53714ed8b5", "title": "Head Pose and Expression Transfer Using Facial Status Score", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961793", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.142", "http://doi.org/10.1109/FG.2017.142"]}, {"id": "098363b29eef1471c494382338687f2fe98f6e15", "title": "Metadata-Based Feature Aggregation Network for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411212", "http://doi.org/10.1109/ICB2018.2018.00028", "https://doi.org/10.1109/ICB2018.2018.00028"]}, {"id": "747fddd7345b60da121fc13c5440a18039b912e6", "title": "Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06106.pdf"], "doi": []}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"id": "9f2984081ef88c20d43b29788fdf732ceabd5d6a", "title": "ClusterNet : Semi-Supervised Clustering using Neural Networks", "year": "2018", "pdf": [], "doi": ["http://arxiv.org/abs/1806.01547"]}, {"id": "70f189798c8b9f2b31c8b5566a5cf3107050b349", "title": "The challenge of face recognition from digital point-and-shoot cameras", "year": "2013", "pdf": ["http://biometrics.nist.gov/cs_links/face/PaSC/pasc2013_NISTIR.pdf", "http://www.cs.colostate.edu/~draper/papers/beveridge_btas13.pdf", "http://www.cs.colostate.edu/~vision/pasc/docs/pasc2013_NISTIR_061013.pdf", "http://www.cs.colostate.edu/~vision/publications/pasc2013_NISTIR_061013.pdf", "http://www3.nd.edu/~kwb/BeveridgeEtAlBTAS_2013.pdf", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=913139", "https://www3.nd.edu/~kwb/Beveridge_EtAl_BTAS_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712704", "http://doi.org/10.1109/BTAS.2013.6712704"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73", "title": "A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/people/attach/Revision_COX_TIP_v3.0_1.pdf", "http://www.vision.ee.ethz.ch/~zzhiwu/papers/COX-Face-DB-TIP-final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7302053", "http://doi.org/10.1109/TIP.2015.2493448", "https://www.ncbi.nlm.nih.gov/pubmed/26513790"]}, {"id": "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "title": "Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification", "year": "2018", "pdf": ["http://sergioescalera.com/wp-content/uploads/2018/05/FG2018_Expression-Change-Biometrics.pdf", "http://vbn.aau.dk/files/279731010/FG2018_Expression_Biometric_CameraReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373891", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00098", "http://doi.org/10.1109/FG.2018.00098"]}, {"id": "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "title": "Searching a specific person in a specific location using deep features", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011138"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014820", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.86", "http://doi.org/10.1109/CVPRW.2017.86"]}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "title": "On Detecting Partially Occluded Faces with Pose Variations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8121748", "http://doi.ieeecomputersociety.org/10.1109/ISPAN-FCST-ISCC.2017.16", "http://doi.org/10.1109/ISPAN-FCST-ISCC.2017.16"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "b8dba0504d6b4b557d51a6cf4de5507141db60cf", "title": "Comparing Performances of Big Data Stream Processing Platforms with RAM3S", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8db/a0504d6b4b557d51a6cf4de5507141db60cf.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "945ef646679b6c575d3bbef9c6fc0a9629ac1b62", "title": "Learning a structured dictionary for video-based face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477689", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477689", "http://doi.org/10.1109/WACV.2016.7477689"]}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "6e9862146e7e081429da233960ba0dfa9e400fc2", "title": "Cross-Spectral Cross-Resolution Face Recognition in Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e98/62146e7e081429da233960ba0dfa9e400fc2.pdf"], "doi": []}, {"id": "384f972c81c52fe36849600728865ea50a0c4670", "title": "Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1604.07057.pdf"], "doi": []}, {"id": "d4c7d1a7a03adb2338704d2be7467495f2eb6c7b", "title": "Explorer Towards a Neural Statistician", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61e6/895782a3ce61bc03d1bb23bced7fa3139ccd.pdf"], "doi": []}, {"id": "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "title": "Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e805/bc872e18277c7cbfce82206cf1667cce22cc.pdf"], "doi": []}, {"id": "cd6e32b00a53310f90a7138a41b855bf44129637", "title": "Persons-In-Places: a Deep Features Based Approach for Searching a Specific Person in a Specific Location", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1664", "http://www.informatica.si/index.php/informatica/article/download/1664/1031"]}, {"id": "36bb5cca0f6a75be8e66f58cba214b90982ee52f", "title": "A Quantum Probability Inspired Framework for Image-Set Based Face Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961790", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.73", "http://doi.org/10.1109/FG.2017.73"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "title": "Probabilistic Elastic Matching for Pose Variant Face Verification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d499.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/CVPR13-PEM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619293", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.449", "http://doi.org/10.1109/CVPR.2013.449"]}, {"id": "787c1bb6d1f2341c5909a0d6d7314bced96f4681", "title": "Face Detection and Verification in Unconstrained Videos : Challenges , Detection , and Benchmark Evaluation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/787c/1bb6d1f2341c5909a0d6d7314bced96f4681.pdf"], "doi": []}, {"id": "dea9b9619936bb00cf845cdf4478435da5363057", "title": "Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579049"]}, {"id": "4a6fcf714f663618657effc341ae5961784504c7", "title": "Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_TIFS_ACSKDA.pdf?dl=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494969", "http://doi.org/10.1109/TIFS.2016.2582562"]}, {"id": "ec00ecb64fa206cea8b2e716955a738a96424084", "title": "Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Hashemi_Intelligent_Synthesis_Driven_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265512", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.301", "http://doi.org/10.1109/ICCVW.2017.301"]}, {"id": "0343f9401b98de36be957a30209fef45dd684270", "title": "On video based face recognition through adaptive sparse dictionary", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163134", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163134", "http://doi.org/10.1109/FG.2015.7163134"]}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "title": "A detailed survey on 2D and 3D still face and face video databases part II", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6950080"]}, {"id": "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "title": "Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05675.pdf"], "doi": []}, {"id": "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "title": "Face Verification via Class Sparsity Based Supervised Encoding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470420", "http://doi.org/10.1109/TPAMI.2016.2569436", "https://www.ncbi.nlm.nih.gov/pubmed/27214891", "https://www.wikidata.org/entity/Q50510181"]}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578645"]}, {"id": "56dca23481de9119aa21f9044efd7db09f618704", "title": "Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.02772.pdf"], "doi": []}, {"id": "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "title": "Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w39/Xu_Using_Psychophysical_Methods_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575433", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00266", "http://doi.org/10.1109/CVPRW.2018.00266"]}, {"id": "5a1255d65e8309131638b3eb94aad5c52ab3629a", "title": "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a12/55d65e8309131638b3eb94aad5c52ab3629a.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "c1f05b723e53ac4eb1133249b445c0011d42ca79", "title": "Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1162/neco_a_00990", "https://www.wikidata.org/entity/Q38733939"]}, {"id": "6cba90e81d460bb32188201a2c10622baa55015e", "title": "Approximate kernel extreme learning machine for large scale data classification", "year": "2017", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_NEUCOM_AKELM.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.023"]}, {"id": "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "title": "On the Reconstruction of Face Images from Deep Face Templates.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.00832.pdf"], "doi": []}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"], "doi": []}, {"id": "c9984c07eb657d6693e2e205518c9f05cbed75ff", "title": "Scalable Laplacian K-modes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13044.pdf"], "doi": []}, {"id": "af6a160f6e2568cb7dc9c72c1b4af1e5656bf557", "title": "A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14363/1/Wu17.pdf", "https://repository.kaust.edu.sa/bitstream/handle/10754/621254/10.1016-j.patcog.2016.10.022.pdf?isAllowed=y&sequence=1", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2016b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.022"]}, {"id": "c68ec931585847b37cde9f910f40b2091a662e83", "title": "A Comparative Evaluation of Dotted Raster-Stereography and Feature-Based Techniques for Automated Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c68e/c931585847b37cde9f910f40b2091a662e83.pdf"], "doi": []}, {"id": "4fac09969ee80d485876e3198c7177181c600a4a", "title": "Face Retrieval on Large-Scale Video Data", "year": "2015", "pdf": ["http://akme-a2.iosb.fraunhofer.de/EatThisGoogleScholar/d/2015_Face%20retrieval%20on%20large-scale%20video%20data.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7158339", "http://doi.ieeecomputersociety.org/10.1109/CRV.2015.32", "http://doi.org/10.1109/CRV.2015.32"]}, {"id": "30fd7b1f8502b1c1d7a855946d99d2d5323ec973", "title": "Big Data Analysis for 2 Media Production", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/30fd/7b1f8502b1c1d7a855946d99d2d5323ec973.pdf"], "doi": []}, {"id": "13fd0a4d06f30a665fc0f6938cea6572f3b496f7", "title": "Regularized Extreme Learning Machine for Large-scale Media Content Analysis", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_INNS_RELM.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.procs.2015.07.319"]}, {"id": "bcfac093aa4a67d405a088e56ee4980872661070", "title": "Hybrid Data Storage Framework for the Biometrics Domain", "year": "2014", "pdf": [], "doi": []}, {"id": "a955033ca6716bf9957b362b77092592461664b4", "title": "Video Based Face Recognition Using Artificial Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a955/033ca6716bf9957b362b77092592461664b4.pdf"], "doi": []}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961833", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.110", "http://doi.org/10.1109/FG.2017.110"]}, {"id": "2a612a7037646276ff98141d3e7abbc9c91fccb8", "title": "A Compact and Discriminative Face Track Descriptor", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Parkhi_A_Compact_and_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vedaldi//assets/pubs/parkhi14compact-presentation.pdf", "http://www.robots.ox.ac.uk/~vedaldi/assets/pubs/parkhi14compact.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2014/Parkhi14/parkhi14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909615", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.219", "http://doi.org/10.1109/CVPR.2014.219"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"], "doi": []}, {"id": "7fa00c81f7c2d8da1551334b0e7bc3d7fd43130c", "title": "Deep Reconstruction Models for Image Set Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6888522", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2353635", "http://doi.org/10.1109/TPAMI.2014.2353635", "https://www.ncbi.nlm.nih.gov/pubmed/26353289"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "3cd5b1d71c1d6a50fcc986589f2d0026c68d9803", "title": "On Sifts and Their Scales Lihi Zelnik-manor Technion", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3cd5/b1d71c1d6a50fcc986589f2d0026c68d9803.pdf"], "doi": []}, {"id": "60643bdab1c6261576e6610ea64ea0c0b200a28d", "title": "Multi-manifold metric learning for face recognition based on image sets", "year": "2014", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=08D9040248A65374A3E7B27F6E663DBA?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=C50050C87423C0F7786F79965EBC3FE4?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=F7EE4AA4D8CBDB1F78E966BCF4CBF01F?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf?isAllowed=y&sequence=1"], "doi": ["http://doi.org/10.1016/j.jvcir.2014.08.006"]}, {"id": "38f7f3c72e582e116f6f079ec9ae738894785b96", "title": "A New Technique for Face Matching after Plastic Surgery in Forensics", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/38f7/f3c72e582e116f6f079ec9ae738894785b96.pdf"], "doi": []}, {"id": "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "title": "Probabilistic Knowledge Transfer for Deep Representation Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "e378ce25579f3676ca50c8f6454e92a886b9e4d7", "title": "Robust Video Super-Resolution with Learned Temporal Dynamics", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Robust_Video_Super-Resolution_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237536", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.274", "http://doi.org/10.1109/ICCV.2017.274"]}, {"id": "03adcf58d947a412f3904a79f2ab51cfdf0e838a", "title": "Video-based face recognition : a survey", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/03ad/cf58d947a412f3904a79f2ab51cfdf0e838a.pdf"], "doi": []}, {"id": "59a35b63cf845ebf0ba31c290423e24eb822d245", "title": "The FaceSketchID System: Matching Facial Composites to Mugshots", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TechReport_MSU-CSE-14-6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6912947", "http://doi.org/10.1109/TIFS.2014.2360825"]}, {"id": "1fd2ed45fb3ba77f10c83f0eef3b66955645dfe0", "title": "Generalized Unsupervised Manifold Alignment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1fd2/ed45fb3ba77f10c83f0eef3b66955645dfe0.pdf"], "doi": []}, {"id": "5b01d4338734aefb16ee82c4c59763d3abc008e6", "title": "A Robust Face Recognition Algorithm Based on Kernel Regularized Relevance-Weighted Discriminant Analysis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5b01/d4338734aefb16ee82c4c59763d3abc008e6.pdf"], "doi": []}, {"id": "26fcefb80af66391e07e6239933de943c1cddc6e", "title": "Pose, illumination and expression invariant pairwise face-similarity measure via Doppelg\u00e4nger list comparison", "year": "2011", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2014/09/multipieNN_final_01.pdf", "http://www.jdl.ac.cn/project/faceId/paperreading/Paper/xliu_20120315_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126535", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126535", "http://doi.org/10.1109/ICCV.2011.6126535"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "bcc172a1051be261afacdd5313619881cbe0f676", "title": "A fast face clustering method for indexing applications on mobile phones", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002197.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952546", "http://doi.org/10.1109/ICASSP.2017.7952546"]}, {"id": "19808134b780b342e21f54b60095b181dfc7a600", "title": "SIFTing Through Scales", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/siftscales/HassneretalTPAMI16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7516703", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2592916", "http://doi.org/10.1109/TPAMI.2016.2592916", "https://www.ncbi.nlm.nih.gov/pubmed/27448341"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"], "doi": []}, {"id": "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "title": "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Rao_Attention-Aware_Deep_Reinforcement_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237686", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.424", "http://doi.org/10.1109/ICCV.2017.424"]}, {"id": "43dce79cf815b5c7068b1678f6200dabf8f5de31", "title": "Deep multi-frame face hallucination for face identification", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1709.03196"]}]}
\ No newline at end of file |
