diff options
Diffstat (limited to 'site/datasets/unknown/megaface.json')
| -rw-r--r-- | site/datasets/unknown/megaface.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/unknown/megaface.json b/site/datasets/unknown/megaface.json index 57b3dc4a..59c7c4af 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": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "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": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.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": "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": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.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": "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": "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": []}]}
\ 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": "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": []}]}
\ No newline at end of file |