16 files changed, 16 insertions, 16 deletions

diff --git a/site/datasets/unknown/adience.json b/site/datasets/unknown/adience.json
index 5fce89c1..9d481e38 100644
--- a/site/datasets/unknown/adience.json
+++ b/site/datasets/unknown/adience.json
@@ -1 +1 @@
-{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "citations": [{"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "02138f475677ca1f9a5919870a78a3e4518b395a", "title": "Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331979"]}, {"id": "03f3bde03f83c3ff4f346d761fde4ce031dd4c69", "title": "Deep Models Calibration with Bayesian Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03f3/bde03f83c3ff4f346d761fde4ce031dd4c69.pdf"], "doi": []}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830820"]}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.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": "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "title": "Contributions to Deep Learning Models", "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/61296/MANSANET%20-%20Contributions%20to%20Deep%20Learning%20Models.pdf;jsessionid=118A8263B301DE77F2C02BDA0178D474?sequence=1", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_castellano.pdf?isAllowed=y&sequence=3", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_ingles.pdf?isAllowed=y&sequence=5", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_valenciano.pdf?isAllowed=y&sequence=4"], "doi": ["https://doi.org/10.4995/Thesis%2F10251%2F61296"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.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": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "b839bc95794dc65340b6e5fea098fa6e6ea5e430", "title": "Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912201", "http://doi.org/10.1109/WACVW.2017.8"]}, {"id": "b8b9cef0938975c5b640b7ada4e3dea6c06d64e9", "title": "Metric-Promoted Siamese Network for Gender Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961849", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.119", "http://doi.org/10.1109/FG.2017.119"]}, {"id": "7361b900018f22e37499443643be1ff9d20edfd6", "title": "Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2016.0169"]}, {"id": "e8951cc76af80da43e3528fe6d984071f17f57e7", "title": "Online Cost Efficient Customer Recognition System for Retail Analytics", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912202", "http://doi.org/10.1109/WACVW.2017.9"]}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"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": "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": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.031"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"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": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, {"id": "9871aa511ca7e3c61c083c327063442bc2c411bf", "title": "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2017.244"]}, {"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": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "d019a79c98bf094b99a103a7481e8d975e4a0685", "title": "Implementation of machine learning for gender detection using CNN on raspberry Pi platform", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398872"]}, {"id": "630a9b8830c3805b64ccbc2b30fa842e08d399bd", "title": "A Benchmark Methodology for Child Pornography Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614362"]}, {"id": "091f6541ffd83985405334842dc60e16d4c52a12", "title": "Real-time demographic profiling from face imagery with Fisher vectors", "year": "2018", "pdf": ["http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/mva18.pdf", "https://www.micc.unifi.it/wp-content/uploads/2019/01/realtime-demographic.pdf"], "doi": ["https://doi.org/10.1007/s00138-018-0991-2"]}, {"id": "c0608626b2780a54667ba683679edcff13998cd2", "title": "Data-Specific Adaptive Threshold for Face Recognition and Authentication", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695322"]}]}
\ No newline at end of file
+{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "citations": [{"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "02138f475677ca1f9a5919870a78a3e4518b395a", "title": "Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331979"]}, {"id": "03f3bde03f83c3ff4f346d761fde4ce031dd4c69", "title": "Deep Models Calibration with Bayesian Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03f3/bde03f83c3ff4f346d761fde4ce031dd4c69.pdf"], "doi": []}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830820"]}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.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": "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "title": "Contributions to Deep Learning Models", "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/61296/MANSANET%20-%20Contributions%20to%20Deep%20Learning%20Models.pdf;jsessionid=118A8263B301DE77F2C02BDA0178D474?sequence=1", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_castellano.pdf?isAllowed=y&sequence=3", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_ingles.pdf?isAllowed=y&sequence=5", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_valenciano.pdf?isAllowed=y&sequence=4"], "doi": ["https://doi.org/10.4995/Thesis%2F10251%2F61296"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.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": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "b839bc95794dc65340b6e5fea098fa6e6ea5e430", "title": "Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912201", "http://doi.org/10.1109/WACVW.2017.8"]}, {"id": "b8b9cef0938975c5b640b7ada4e3dea6c06d64e9", "title": "Metric-Promoted Siamese Network for Gender Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961849", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.119", "http://doi.org/10.1109/FG.2017.119"]}, {"id": "7361b900018f22e37499443643be1ff9d20edfd6", "title": "Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2016.0169"]}, {"id": "e8951cc76af80da43e3528fe6d984071f17f57e7", "title": "Online Cost Efficient Customer Recognition System for Retail Analytics", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912202", "http://doi.org/10.1109/WACVW.2017.9"]}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"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": "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": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.031"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"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": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, {"id": "9871aa511ca7e3c61c083c327063442bc2c411bf", "title": "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2017.244"]}, {"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": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "d019a79c98bf094b99a103a7481e8d975e4a0685", "title": "Implementation of machine learning for gender detection using CNN on raspberry Pi platform", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398872"]}, {"id": "091f6541ffd83985405334842dc60e16d4c52a12", "title": "Real-time demographic profiling from face imagery with Fisher vectors", "year": "2018", "pdf": ["http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/mva18.pdf", "https://www.micc.unifi.it/wp-content/uploads/2019/01/realtime-demographic.pdf"], "doi": ["https://doi.org/10.1007/s00138-018-0991-2"]}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/afw.json b/site/datasets/unknown/afw.json
index 797c8b7e..66bf3d2a 100644
--- a/site/datasets/unknown/afw.json
+++ b/site/datasets/unknown/afw.json
@@ -1 +1 @@
-{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "citations": [{"id": "3233e3a6fa5acf7939259b4e881b8e635de5cae7", "title": "Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09019.pdf"], "doi": []}, {"id": "3fe3d6ff7e5320f4395571131708ecaef6ef4550", "title": "TV News Retrieval Based on Story Segmentation and Concept Association", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7907487", "http://doi.org/10.1109/SITIS.2016.60"]}, {"id": "d8c9ce0bd5e4b6d1465402a760845e23af5ac259", "title": "Robust Face Detection with Eyes Occluded by the Shadow from Dazzling Avoidance System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313472", "http://doi.org/10.1109/ITSC.2015.380"]}, {"id": "30f62b05b9a69d671be4112d47eba90028a26c71", "title": "Predicting Students\u2019 GPA and Developing Intervention Strategies Based on Self-Regulatory Learning Behaviors", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016571"]}, {"id": "102e374347698fe5404e1d83f441630b1abf62d9", "title": "Facial Image Analysis for Fully Automatic Prediction of Difficult Endotracheal Intubation", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/209965/files/TBME-preprint-infoscience.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7159059", "http://doi.org/10.1109/TBME.2015.2457032", "https://www.ncbi.nlm.nih.gov/pubmed/26186767", "https://www.wikidata.org/entity/Q40724101"]}, {"id": "df096e221cc92c481d34443f4788c96ee412b189", "title": "Facial Expression Recognition by De-expression Residue Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578329"]}, {"id": "7177649ece5506b315cb73c36098baac1681b8d2", "title": "Lower Resolution Face Recognition in Surveillance Systems Using Discriminant Correlation Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961841", "http://doi.org/10.1109/FG.2017.130", "https://www.wikidata.org/entity/Q56384707"]}, {"id": "cad52d74c1a21043f851ae14c924ac689e197d1f", "title": "From Ego to Nos-Vision: Detecting Social Relationships in First-Person Views", "year": "2014", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/EGO_CVPRW_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W16/papers/Alletto_From_Ego_to_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910040", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.91", "http://doi.org/10.1109/CVPRW.2014.91"]}, {"id": "b599f323ee17f12bf251aba928b19a09bfbb13bb", "title": "Autonomous Quadcopter Videographer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b599/f323ee17f12bf251aba928b19a09bfbb13bb.pdf"], "doi": []}, {"id": "970681bbc2ee19a1e9f6c765ebf86003fbdc3471", "title": "Methods for facial expression recognition with applications in challenging situations", "year": "2014", "pdf": [], "doi": []}, {"id": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "pdf": [], "doi": []}, {"id": "83fd5c23204147844a0528c21e645b757edd7af9", "title": "USDOT number localization and recognition from vehicle side-view NIR images", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W05/papers/Bulan_USDOT_Number_Localization_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301301", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301301", "http://doi.org/10.1109/CVPRW.2015.7301301"]}, {"id": "1fef53b07c6c625545fc071c7386d41f87925675", "title": "A rule-based methodology and assessment for context-aware privacy", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981839"]}, {"id": "b51e3d59d1bcbc023f39cec233f38510819a2cf9", "title": "Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?", "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.4082.pdf"], "doi": []}, {"id": "be6bd94322dd0ecfc8ea99eb7f40a9a14dd3471f", "title": "Automatic Face Annotation System Used Pyramid Database Architecture for Online Social Networks", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6726280", "http://doi.org/10.1109/UIC-ATC.2013.32"]}, {"id": "699b8250fb93b3fa64b2fc8f59fef036e172564d", "title": "Spontaneous Facial Expression Recognition: A Part Based Approach", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838251", "http://doi.org/10.1109/ICMLA.2016.0147"]}, {"id": "96a8f115df9e2c938453282feb7d7b9fde6f4f95", "title": "Facial Expression Recognition in Video with Multiple Feature Fusion", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7518582", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2593719", "http://doi.org/10.1109/TAFFC.2016.2593719"]}, {"id": "8a8127a06f432982bfb0150df3212f379b36840b", "title": "Analysis of Yawning Behaviour in Spontaneous Expressions of Drowsy Drivers", "year": "2018", "pdf": ["https://www.cl.cam.ac.uk/~mmam3/pub/FG2018-HBU-yawining.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373884", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00091", "http://doi.org/10.1109/FG.2018.00091"]}, {"id": "44c278cbecd6c1123bfa5df92e0bda156895fa48", "title": "Head Pose Estimation by Instance Parameterization", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977027", "http://doi.org/10.1109/ICPR.2014.316"]}, {"id": "9d6e5c1fef16f9a9ace7ce90e6a547905be6b25d", "title": "( Simulated Expressions ) : Terjadi ketika ekspresi mikro tidak disertai ekspresi aslinya . 2 )", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9d6e/5c1fef16f9a9ace7ce90e6a547905be6b25d.pdf"], "doi": []}, {"id": "ed82f10e5bfe1825b9fa5379a1d0017b96fa1ebf", "title": "A Face-Recognition Approach Using Deep Reinforcement Learning Approach for User Authentication", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8119148", "http://doi.ieeecomputersociety.org/10.1109/ICEBE.2017.36", "http://doi.org/10.1109/ICEBE.2017.36"]}, {"id": "a3e66902fd95b757edca4268c8a29258ae9b15cb", "title": "Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes", "year": "2015", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Yashaswi2015Exploring.pdf", "http://web2py.iiit.ac.in/research_centres/publications/download/inproceedings.pdf.9e10abf4c148e233.5961736861737769323031354578706c6f72696e672e706466.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/abstract170.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/paper170.pdf"], "doi": ["https://doi.org/10.5244/C.29.170"]}, {"id": "76b11c281ac47fe6d95e124673a408ee9eb568e3", "title": "Real-time Multi View Face Detection and Pose Estimation Aishwarya", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76b1/1c281ac47fe6d95e124673a408ee9eb568e3.pdf"], "doi": []}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "b8978a5251b6e341a1171e4fd9177aec1432dd3a", "title": "FaceHunter: A multi-task convolutional neural network based face detector", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.04.004"]}, {"id": "39b22bcbd452d5fea02a9ee63a56c16400af2b83", "title": "Multi-task Learning of Facial Landmarks and Expression", "year": "2014", "pdf": ["http://www.uoguelph.ca/~gwtaylor/publications/devries2014multi-task.pdf", "http://www.uoguelph.ca/~gwtaylor/publications/gwtaylor_crv2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6816830", "http://doi.ieeecomputersociety.org/10.1109/CRV.2014.21", "http://doi.org/10.1109/CRV.2014.21"]}, {"id": "57dc55edade7074f0b32db02939c00f4da8fe3a6", "title": "Yaw Estimation Using Cylindrical and Ellipsoidal Face Models", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6807708", "http://doi.org/10.1109/TITS.2014.2313371"]}, {"id": "a6e75b4ccc793a58ef0f6dbe990633f7658c7241", "title": "Boosting Hankel matrices for face emotion recognition and pain detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.10.007"]}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "9282239846d79a29392aa71fc24880651826af72", "title": "Classification of extreme facial events in sign language videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f3f/d27ba8fd119c51ca14d1e1f154c4bc50a83c.pdf"], "doi": []}, {"id": "2162654cb02bcd10794ae7e7d610c011ce0fb51b", "title": "Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025952"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "010c6081a66990ce7754f12dd1b37fc677a7751d", "title": "Facial first impressions from another angle: How social judgements are influenced by changeable and invariant facial properties.", "year": "2017", "pdf": ["http://eprints.whiterose.ac.uk/102935/1/Sutherland_et_al_accepted_15_June_2016_BJP.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27443971", "https://doi.org/10.1111/bjop.12206"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "b36a80d15c3e48870ea6118b855055cc34307658", "title": "Facial 3D Shape Estimation from Images for Visual Speech Animation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976728", "http://doi.org/10.1109/ICPR.2014.17"]}, {"id": "05487784c1c94e17c26862e342c1b81acfe11258", "title": "Spontaneous facial expression analysis based on temperature changes and head motions", "year": "2015", "pdf": ["http://videolectures.net/site/normal_dl/tag=977246/fgconference2015_liu_head_motions_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163094", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163094", "http://doi.org/10.1109/FG.2015.7163094"]}, {"id": "02431ed90700d5cfe4e3d3a20f1e97de3e131569", "title": "Finding Actors and Actions in Movies", "year": "2013", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=A668684E950686DFF50E8BA323DC811B?doi=10.1.1.414.5058&rep=rep1&type=pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Bojanowski_Finding_Actors_and_2013_ICCV_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/bojanowski2013finding.pdf", "http://www.di.ens.fr/willow/research/actoraction/bojanowski2013finding_poster.pdf", "http://www.di.ens.fr/~bojanowski/papers/bojanowski13finding.pdf", "http://www.di.ens.fr/~bojanowski/papers/bojanowski13finding_poster.pdf", "http://www.di.ens.fr/~josef/publications/bojanowski13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751394", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.283", "http://doi.org/10.1109/ICCV.2013.283"]}, {"id": "529baf1a79cca813f8c9966ceaa9b3e42748c058", "title": "Triangle wise Mapping Technique to Transform one Face Image into Another Face Image", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6ae7/47cf58eeda0687a3f779aaecfa12403b9684.pdf"], "doi": []}, {"id": "bcb99d5150d792001a7d33031a3bd1b77bea706b", "title": "Facial Descriptors for Human Interaction Recognition In Still Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05366.pdf"], "doi": []}, {"id": "1ea21515ddad82f1e85b4c5883b93ea3909019b5", "title": "Histograms of Sparse Codes for Object Detection", "year": "2013", "pdf": ["http://homes.cs.washington.edu/~xren/publication/xren_cvpr13_detection.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d246.pdf", "http://www.csc.kth.se/~azizpour/rg/materials/hossein_008_slides.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Histograms_of_Sparse_2013_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/slides/ren__cvpr2013__histograms__azizpour.pdf", "https://www.cs.cmu.edu/~deva/papers/hsc.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619261", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.417", "http://doi.org/10.1109/CVPR.2013.417"]}, {"id": "11be33019f591214c8f79dbcb24a50d8f7fa5c95", "title": "Salgan 360 : Visual Saliency Prediction on 360 Degree Images with Generative Adversarial Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/11be/33019f591214c8f79dbcb24a50d8f7fa5c95.pdf"], "doi": []}, {"id": "392425be1c9d9c2ee6da45de9df7bef0d278e85f", "title": "Vision for Intelligent Vehicles & Applications (VIVA): Face detection and head pose challenge", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0411.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535512", "http://doi.org/10.1109/IVS.2016.7535512"]}, {"id": "038ce930a02d38fb30d15aac654ec95640fe5cb0", "title": "Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices", "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/BVGFacialFeatureTrackerMobile.pdf", "http://kylezheng.org/papers/SO_CLMslideatFG.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/BVGFacialFeatureTrackerMobile.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553701.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553701", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553701", "http://doi.org/10.1109/FG.2013.6553701"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"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": "1cb0c11620bde2734c1a428c789158ffff0d6c7b", "title": "A Framework of Enlarging Face Datasets Used for Makeup Face Analysis", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7545025", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2016.62", "http://doi.org/10.1109/BigMM.2016.62"]}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "93dea8bca77df9841bab6b0bcef6d56cb51e761d", "title": "Improving retail efficiency through sensing technologies: A survey", "year": "2016", "pdf": ["http://oa.upm.es/46144/1/INVE_MEM_2016_249461.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.05.027"]}, {"id": "ab00ea1aa2f81fbe139b4632ec3682dfb7312ef0", "title": "Comparison of face detection and image classification for detecting front seat passengers in vehicles", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835994", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835994", "http://doi.org/10.1109/WACV.2014.6835994"]}, {"id": "826015d9ade1637b3fcbeca071e3137d3ac1ef56", "title": "A Deep Learning Frame-Work for Recognizing Developmental Disorders", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926667", "http://doi.org/10.1109/WACV.2017.84"]}, {"id": "10d334a98c1e2a9e96c6c3713aadd42a557abb8b", "title": "Scene Text Recognition Using Part-Based Tree-Structured Character Detection", "year": "2013", "pdf": ["http://sunw.csail.mit.edu/2013/papers/Shi_19_SUNw.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c961.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shi_Scene_Text_Recognition_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619225", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.381", "http://doi.org/10.1109/CVPR.2013.381"]}, {"id": "46a4551a6d53a3cd10474ef3945f546f45ef76ee", "title": "Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariTrivedi_IV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6856607", "http://doi.org/10.1109/IVS.2014.6856607"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "1dd56ce2f980283a9f167b9a84c3d42a47481524", "title": "FaceCept3D: Real Time 3D Face Tracking and Analysis", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w2/papers/Tulyakov_FaceCept3D_Real_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406362", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.13", "http://doi.org/10.1109/ICCVW.2015.13"]}, {"id": "228558a2a38a6937e3c7b1775144fea290d65d6c", "title": "Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-landmark-localization/SmithCVPR2014.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-landmark-localization/SmithCVPR2014_supplementary.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Smith_Nonparametric_Context_Modeling_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909621", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.225", "http://doi.org/10.1109/CVPR.2014.225"]}, {"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": "60777fbca8bff210398ec8b1179bc4ecb72dfec0", "title": "A Deformable Mixture Parsing Model with Parselets", "year": "2013", "pdf": ["http://next.comp.nus.edu.sg/sites/default/files/publication-attachments/A%20Deformable%20Mixture%20Part%20Model%20with%20Parselets.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Dong_A_Deformable_Mixture_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751535", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.423", "http://doi.org/10.1109/ICCV.2013.423"]}, {"id": "da386f486dd2f12281aabb368543e62459f1e79a", "title": "Cascade of Boolean detector combinations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef4/c6bb430c4792522866fdad40a0ed8e76809f.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "2fe86e9c115562df2114eeedc7db1aece07a3638", "title": "Effects of surface materials on polarimetric-thermal measurements: applications to face recognition.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27409214", "http://doi.org/10.1364/AO.55.005226"]}, {"id": "ef26b36eb5966364c71d4fed135fe68f891127e5", "title": "Joint Face Detection and Facial Expression Recognition with MTCNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110322"]}, {"id": "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "title": "Engineered and learned features for face and facial expression recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "25695abfe51209798f3b68fb42cfad7a96356f1f", "title": "AN INVESTIGATION INTO COMBINING BOTH FACIAL DETECTION AND LANDMARK LOCALISATION INTO A UNIFIED PROCEDURE USING GPU COMPUTING", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2569/5abfe51209798f3b68fb42cfad7a96356f1f.pdf"], "doi": []}, {"id": "a55efc4a6f273c5895b5e4c5009eabf8e5ed0d6a", "title": "Continuous Head Movement Estimator for Driver Assistance: Issues, Algorithms, and On-Road Evaluations", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariMartinTrivedi_IEEETITS2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6746153", "http://doi.org/10.1109/TITS.2014.2300870"]}, {"id": "7384c39a2d084c93566b98bc4d81532b5ad55892", "title": "A Comparative Study of Face Landmarking Techniques", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e5d/a8dbe9255b72ddbd6465acbe0d04325f9c50.pdf"], "doi": []}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "cbc2de9b919bc63590b6ee2dfd9dda134af45286", "title": "Direct face detection and video reconstruction from event cameras", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477561", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477561", "http://doi.org/10.1109/WACV.2016.7477561"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "d69df51cff3d6b9b0625acdcbea27cd2bbf4b9c0", "title": "Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d69d/f51cff3d6b9b0625acdcbea27cd2bbf4b9c0.pdf"], "doi": []}, {"id": "58bb77dff5f6ee0fb5ab7f5079a5e788276184cc", "title": "Facial expression recognition with PCA and LBP features extracting from active facial patches", "year": "2016", "pdf": ["https://ram-lab.com/papers/2016/rcar_lyp_192.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7784056", "http://doi.org/10.1109/RCAR.2016.7784056"]}, {"id": "cc9a61a30afdb8a5bc7088e1cef814b53dc4fc66", "title": "Multi-Pose and Occluded Facial Landmark Localization Via Sparse Shape Representation", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1142/s0218213015400199"]}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"], "doi": ["https://doi.org/10.1155/2016%2F6390741", "https://doi.org/10.1155/2016/6390741"]}, {"id": "3998c5aa6be58cce8cb65a64cb168864093a9a3e", "title": "Understanding head and hand activities and coordination in naturalistic driving videos", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/HeadHand.pdf", "http://cvrr.ucsd.edu/publications/2014/MartinOhnbarTawariTrivedi_IV2014.pdf", "http://cvrr.ucsd.edu/scmartin/presentation/IV2014_HeadHand.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6856610", "http://doi.org/10.1109/IVS.2014.6856610"]}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "3cb64217ca2127445270000141cfa2959c84d9e7", "title": "Can body expressions contribute to automatic depression analysis?", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Joshi_Goecke_Parker_Breakspear_FG2013_CanBodyExpressionsContributeToAutomaticDepressionAnalysis.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553796.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553796", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553796", "http://doi.org/10.1109/FG.2013.6553796"]}, {"id": "26e570049aaedcfa420fc8c7b761bc70a195657c", "title": "Hybrid Facial Regions Extraction for Micro-expression Recognition System", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/26e5/70049aaedcfa420fc8c7b761bc70a195657c.pdf"], "doi": []}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.008"]}, {"id": "106732a010b1baf13c61d0994552aee8336f8c85", "title": "Expanded Parts Model for Semantic Description of Humans in Still Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.04186.pdf"], "doi": []}, {"id": "17cf838720f7892dbe567129dcf3f7a982e0b56e", "title": "Global-Local Face Upsampling Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07235.pdf"], "doi": []}, {"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": "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": "7ac2fc0fcda50c358cc812007bd99f370b779324", "title": "Automatic temporal segment detection via bilateral long short-term memory recurrent neural networks", "year": "2017", "pdf": ["http://www.bnusei.net/wp-content/uploads/2017/11/JEI_26_2_020501.pdf"], "doi": ["https://doi.org/10.1117/1.JEI.26.2.020501", "https://www.spiedigitallibrary.org/journalArticle/Download?fullDOI=10.1117/1.JEI.26.2.020501"]}, {"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": "56dca23481de9119aa21f9044efd7db09f618704", "title": "Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.02772.pdf"], "doi": []}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "2c61a9e26557dd0fe824909adeadf22a6a0d86b0", "title": "Convolutional Channel Features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07339.pdf"], "doi": []}, {"id": "0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a", "title": "Detection and Tracking of Faces in Videos: A Review of Related Work", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0d33/b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a.pdf"], "doi": []}, {"id": "120b9c271c3a4ea0ad12bbc71054664d4d460bc3", "title": "Face Recognition against Mouth Shape Variations", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371259", "http://doi.org/10.1109/DICTA.2015.7371259"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "title": "Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision", "year": "2014", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Pedersoli_Using_a_Deformation_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909867", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.472", "http://doi.org/10.1109/CVPR.2014.472"]}, {"id": "b3c60b642a1c64699ed069e3740a0edeabf1922c", "title": "Max-Margin Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00046.pdf"], "doi": []}, {"id": "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "title": "Learning Flexible Block based Local Binary Patterns for unconstrained face detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890187"]}, {"id": "e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66", "title": "Cognitive Learning for Social Robot through Facial Expression from Video Input", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e9ed/17fd8bf1f3d343198e206a4a7e0561ad7e66.pdf"], "doi": []}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373846"]}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "0b174d4a67805b8796bfe86cd69a967d357ba9b6", "title": "A Survey on Face Detection and Recognition Approaches", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0b17/4d4a67805b8796bfe86cd69a967d357ba9b6.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": "747c25bff37b96def96dc039cc13f8a7f42dbbc7", "title": "EmoNets: Multimodal deep learning approaches for emotion recognition in video", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01800.pdf"], "doi": []}, {"id": "e50ee29ca12028cb903cd498bb9cacd41bd5ce3a", "title": "Single-view-based 3D facial reconstruction method robust against pose variations", "year": "2015", "pdf": ["http://cherup.yonsei.ac.kr/files/Paper/2015_PR_Single-view-based%203D%20facial%20reconstruction%20method%20robust%20against%20pose%20variations.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.07.013"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "40f127fa4459a69a9a21884ee93d286e99b54c5f", "title": "Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos", "year": "2013", "pdf": ["http://graphics.tu-bs.de/media/publications/stengel2013resolution.pdf", "https://www.graphics.tu-bs.de/upload/publications/stengel2013resolution.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6522878", "http://doi.org/10.1109/TIP.2013.2265885", "https://www.ncbi.nlm.nih.gov/pubmed/23744682", "https://www.wikidata.org/entity/Q51205072"]}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "25885e9292957feb89dcb4a30e77218ffe7b9868", "title": "Analyzing the Affect of a Group of People Using Multi-modal Framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.03640.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": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486464", "http://doi.org/10.1109/ACPR.2015.7486464"]}, {"id": "00a3cfe3ce35a7ffb8214f6db15366f4e79761e3", "title": "Using Kinect for real-time emotion recognition via facial expressions", "year": "2015", "pdf": ["http://engineering.cae.cn/fitee/fileup/2095-9184/SUPPL/20150414135701.pdf"], "doi": ["http://doi.org/10.1631/FITEE.1400209"]}, {"id": "7c7b0550ec41e97fcfc635feffe2e53624471c59", "title": "Head, Eye, and Hand Patterns for Driver Activity Recognition", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/headhandeye.pdf", "http://cvrr.ucsd.edu/publications/2014/headhandeye.pdf", "https://eshed1.github.io/papers/headhandeye.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976834", "http://doi.org/10.1109/ICPR.2014.124"]}, {"id": "44a3ec27f92c344a15deb8e5dc3a5b3797505c06", "title": "A Taxonomy of Part and Attribute Discovery Techniques", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/44a3/ec27f92c344a15deb8e5dc3a5b3797505c06.pdf"], "doi": []}, {"id": "4a0f98d7dbc31497106d4f652968c708f7da6692", "title": "Real-time eye gaze direction classification using convolutional neural network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05258.pdf"], "doi": []}, {"id": "30c93fec078b98453a71f9f21fbc9512ab3e916f", "title": "Multimodal Egocentric Analysis of Focused Interactions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395274", "http://doi.org/10.1109/ACCESS.2018.2850284", "https://doi.org/10.1109/ACCESS.2018.2850284"]}, {"id": "3157be811685c93d0cef7fa4c489efea581f9b8e", "title": "Multi-spectral Imaging for Robust Ocular Biometrics", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411222", "http://doi.org/10.1109/ICB2018.2018.00038", "https://doi.org/10.1109/ICB2018.2018.00038"]}, {"id": "a4de780b8b333f073667c1f2dd7b3ae54a97f380", "title": "Research on Abnormal Behavior Detection of Online Examination Based on Image Information", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8530188"]}, {"id": "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "title": "Adversarially Optimizing Intersection over Union for Object Localization Tasks", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1710.07735"]}, {"id": "d861c658db2fd03558f44c265c328b53e492383a", "title": "Automated face extraction and normalization of 3D Mesh Data", "year": "2014", "pdf": ["http://homes.cs.washington.edu/~shapiro/Multimedia/Jia_EMBC2014_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6943699", "http://doi.org/10.1109/EMBC.2014.6943699", "https://www.ncbi.nlm.nih.gov/pubmed/25570067", "https://www.wikidata.org/entity/Q30883352"]}, {"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": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "123a9768700433c405bd7266f4c57ca8222e7fe1", "title": "Expanded Parts Model for Human Attribute and Action Recognition in Still Images", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Sharma_Expanded_Parts_Model_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a652.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/sharma__cvpr2013__expanded.pdf", "https://hal.inria.fr/hal-00816144/file/sharma_epm_cvpr2013.pdf", "https://jurie.users.greyc.fr/papers/13_CVPR_EPPM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618934", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.90", "http://doi.org/10.1109/CVPR.2013.90"]}, {"id": "15a3c96a0cf4c0d7f4abd025572255f82e017ff7", "title": "High-quality face capture, animation and editing from monocular video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a3/c96a0cf4c0d7f4abd025572255f82e017ff7.pdf"], "doi": []}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1287/bfe73e381cc8042ac0cc27868ae086e1ce3b.pdf"], "doi": []}, {"id": "c71552fb2a18458a5607c609b96433004ada1131", "title": "Review of Selected Techniques and Measures Affecting the Reliability of Face Image Acquisition Systems / Przegl\u0105d Wybranych Technik I \u015arodk\u00f3w Wp\u0142ywaj\u0105cych Na Niezawodno\u015b\u0107 Dzia\u0142ania System\u00f3w Akwizycji Obrazu Twarzy", "year": "2014", "pdf": ["https://content.sciendo.com/downloadpdf/journals/jok/29/1/article-p49.pdf"], "doi": ["https://doi.org/10.2478/jok-2014-0006"]}, {"id": "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "title": "Joint optimization of manifold learning and sparse representations", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/Andy_files/AI_Seminar_March_1_2013_Ptucha.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553786.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553786", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553786", "http://doi.org/10.1109/FG.2013.6553786", "http://scholarworks.rit.edu/cgi/viewcontent.cgi?article=5352&context=theses"]}, {"id": "5334ac0a6438483890d5eef64f6db93f44aacdf4", "title": "MINH HOAI : REGULARIZEDMAX POOLING FOR IMAGE CATEGORIZATION 1 Regularized Max Pooling for Image Categorization", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5334/ac0a6438483890d5eef64f6db93f44aacdf4.pdf"], "doi": []}, {"id": "9888ce5cb5cae8ba4f288806d126b1114e0a7f9b", "title": "Enhanced face recognition using 8-Connectivity-of-Skin-Region and Standard-Deviation-based-Pose-Detection as preprocessing techniques", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006034", "http://doi.org/10.1109/MedCom.2014.7006034"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "1f8e44593eb335c2253d0f22f7f9dc1025af8c0d", "title": "Fine-Tuning Regression Forests Votes for Object Alignment in the Wild", "year": "2015", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22607/Patras%20Fine-tuning%20regression%202014%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6987359", "http://doi.org/10.1109/TIP.2014.2383325", "https://www.ncbi.nlm.nih.gov/pubmed/25532183", "https://www.wikidata.org/entity/Q41658941"]}, {"id": "cbe1df2213a88eafc5dcaf55264f2523fe3ec981", "title": "Automatic 4D Facial Expression Recognition Using DCT Features", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045888", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.34", "http://doi.org/10.1109/WACV.2015.34"]}, {"id": "0d90c992dd08bfb06df50ab5c5c77ce83061e830", "title": "An Automatic Face Annotation System Featuring High Accuracy for Online Social Networks", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6726205", "http://doi.org/10.1109/UIC-ATC.2013.85"]}, {"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"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": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "4850af6b54391fc33c8028a0b7fafe05855a96ff", "title": "Discovering useful parts for pose estimation in sparsely annotated datasets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.00707.pdf"], "doi": []}, {"id": "f345a05353f5784b64eefb7785661cc0be519521", "title": "LBF Based 3D Regression for Facial Animation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7938207"]}, {"id": "2b2924af7ec219bd1fadcbd2c57014ed54efec86", "title": "Channeling Mr. Potato head - Face super-resolution using semantic components", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6806053"]}, {"id": "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "title": "Facial Keypoints Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.05279.pdf"], "doi": []}, {"id": "f402e088dddfaad7667bd4def26092d05f247206", "title": "Passenger Compartment Violation Detection in HOV/HOT Lanes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7283621", "http://doi.org/10.1109/TITS.2015.2475721"]}, {"id": "142dcfc3c62b1f30a13f1f49c608be3e62033042", "title": "Adaptive region pooling for object detection", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_object_detection.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_080.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_080_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_080_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tsai_Adaptive_Region_Pooling_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298673", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298673", "http://doi.org/10.1109/CVPR.2015.7298673"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "61971f8e6fff5b35faed610d02ad14ccfc186c70", "title": "Identity-Adaptive Facial Expression Recognition through Expression Regeneration Using Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373843", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00050", "http://doi.org/10.1109/FG.2018.00050"]}, {"id": "9776a9f3c59907f45baaeda4b8907dcdac98aef1", "title": "The video face recognition method and system based on the fusion of multiple features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301924", "http://doi.org/10.1109/CISP-BMEI.2017.8301924"]}, {"id": "3066a4e95985f77cf5cd54d53a7f3526a4ff124c", "title": "A Face-to-Face Neural Conversation Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578841"]}, {"id": "b0358af78b7c5ee7adc883ef513bbcc84a18a02b", "title": "Universal Skin Detection Without Color Information", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926593.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926593", "http://doi.org/10.1109/WACV.2017.10"]}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "60c97065418fbd30e55d79b764c7c3961106ac3d", "title": "Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06664.pdf"], "doi": []}, {"id": "edc5a0a8b9fc6ae0e8d8091a2391767f645095d9", "title": "Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera", "year": "2015", "pdf": ["http://www.es.mdh.se/pdf_publications/3948.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313516", "http://doi.org/10.1109/ITSC.2015.424"]}, {"id": "c175f1666f3444e407660c5935a05b2a53f346f0", "title": "Modifying the Memorability of Face", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c175/f1666f3444e407660c5935a05b2a53f346f0.pdf"], "doi": []}, {"id": "3dfbd17bd9caf7bd1d908ff469dec2b61e8a9548", "title": "Usability of Pilot's Gaze in Aeronautic Cockpit for Safer Aircraft", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313344", "http://doi.org/10.1109/ITSC.2015.252"]}, {"id": "58823377757e7dc92f3b70a973be697651089756", "title": "Automatic facial expression analysis", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-861.pdf", "http://www.cl.cam.ac.uk/~tb346/pub/thesis/phd_thesis.pdf"], "doi": ["http://doi.org/10.17863/CAM.16382", "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600539"]}, {"id": "3626401bfe9898de61716651582f208e260b9c38", "title": "Adaptive skin detection using face location and facial structure estimation", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1049/iet-cvi.2016.0295"]}, {"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": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "b3cb117f2424209d5997d5745772dfadd02dc80d", "title": "Semantic Summarization of Egocentric Photo Stream Events", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00438.pdf"], "doi": []}, {"id": "24bf94f8090daf9bda56d54e42009067839b20df", "title": "Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition", "year": "2015", "pdf": ["https://www.computer.org/csdl/trans/tp/2015/06/06940284.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6940284", "http://doi.org/10.1109/TPAMI.2014.2366127", "https://www.ncbi.nlm.nih.gov/pubmed/26357337", "https://www.wikidata.org/entity/Q38584262"]}, {"id": "5e62b2ab6fd3886e673fd5cbee160a5bee414507", "title": "Facial Emotion Recognition Based on Facial Motion Stream Generated by Kinect", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7400554", "http://doi.ieeecomputersociety.org/10.1109/SITIS.2015.31", "http://doi.org/10.1109/SITIS.2015.31"]}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.pdf"], "doi": []}, {"id": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406479", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.130", "http://doi.org/10.1109/ICCVW.2015.130"]}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "91ead35d1d2ff2ea7cf35d15b14996471404f68d", "title": "Combining and Steganography of 3D Face Textures", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01325.pdf"], "doi": []}, {"id": "fc970d7694b1d2438dd101a146d2e4f29087963e", "title": "Fusing Multilabel Deep Networks for Facial Action Unit Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961807", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.86", "http://doi.org/10.1109/FG.2017.86"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "title": "Joint Estimation of Pose and Face Landmark", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8ba/5cddae817c30de79a804eaf16024610c1e4f.pdf"], "doi": []}, {"id": "440b94b1624ca516b07e72ea8b3488072adc5e26", "title": "Comparison of Early and Late Information Fusion for Multi-camera HOV Lane Enforcement", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313245", "http://doi.org/10.1109/ITSC.2015.153"]}, {"id": "13afc4f8d08f766479577db2083f9632544c7ea6", "title": "Multiple kernel learning for emotion recognition in the wild", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531741"]}, {"id": "1be18a701d5af2d8088db3e6aaa5b9b1d54b6fd3", "title": "ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF DECISION TREES", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1be1/8a701d5af2d8088db3e6aaa5b9b1d54b6fd3.pdf"], "doi": []}, {"id": "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "title": "Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Afshar_Facial_Expression_Recognition_CVPR_2016_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/afshar06cvprw.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789679", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.189", "http://doi.org/10.1109/CVPRW.2016.189"]}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274747", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2481396", "http://doi.org/10.1109/TPAMI.2015.2481396", "https://www.ncbi.nlm.nih.gov/pubmed/26415152"]}, {"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": "1a849b694f2d68c3536ed849ed78c82e979d64d5", "title": "This is a repository copy of Symmetric Shape Morphing for 3 D Face and Head Modelling", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/318c/a222a7a4dfc63807c6b6c4285cc63c8610ba.pdf"], "doi": []}, {"id": "a8a30a8c50d9c4bb8e6d2dd84bc5b8b7f2c84dd8", "title": "This is a repository copy of Modelling of Orthogonal Craniofacial Profiles", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3bf2/79c782cee5b43a766d248810d602b24033c9.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": "230c4a30f439700355b268e5f57d15851bcbf41f", "title": "EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01509.pdf"], "doi": []}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "6cfc337069868568148f65732c52cbcef963f79d", "title": "Audio-Visual Speaker Localization via Weighted Clustering Israel -", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/80d7/8415aee24e65ea3031c31adc1dabc1956f8a.pdf"], "doi": []}, {"id": "de398bd8b7b57a3362c0c677ba8bf9f1d8ade583", "title": "Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition", "year": "2017", "pdf": ["http://www.cs.wayne.edu/~mdong/TMM16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744538", "http://doi.org/10.1109/TMM.2016.2629282"]}, {"id": "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "title": "A review of recent advances in visual speech decoding", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.06.004"]}, {"id": "795ea140df2c3d29753f40ccc4952ef24f46576c", "title": "C V ] 2 8 O ct 2 01 7 MultiTask Learning by Deep Collaboration and Application in Facial Landmark Detection", "year": "2017", "pdf": [], "doi": []}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "cd2bf0e1d19babe51eaa94cbc24b223e9c048ad6", "title": "\u2018Who Likes What and, Why?\u2019 Insights into Modeling Users\u2019 Personality Based on Image \u2018Likes\u2019", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7491295", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2581168", "http://doi.org/10.1109/TAFFC.2016.2581168"]}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "383e64d9ef1fca9de677ac82486b4df42e96e861", "title": "Social Network Construction of the Role Relation in Unstructured Data Based on Multi-view", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8005505", "http://doi.ieeecomputersociety.org/10.1109/DSC.2017.78", "http://doi.org/10.1109/DSC.2017.78"]}, {"id": "de162d4b8450bf2b80f672478f987f304b7e6ae4", "title": "Weakly Supervised Manifold Learning for Dense Semantic Object Correspondence", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Gaur_Weakly_Supervised_Manifold_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237454", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.192", "http://doi.org/10.1109/ICCV.2017.192"]}, {"id": "d42dbc995318e2936714c65c028700bfd3633049", "title": "Face fiducial detection by consensus of exemplars", "year": "2016", "pdf": ["https://bitbucket.org/mallikarjun26/wacv_2016_face_fiducial/raw/9ed5a356db1fceda6c542bd7d8fd94f0c4f7d120/211.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477592", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477592", "http://doi.org/10.1109/WACV.2016.7477592"]}, {"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": "40b0fced8bc45f548ca7f79922e62478d2043220", "title": "Do Convnets Learn Correspondence?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.1091.pdf"], "doi": []}, {"id": "7e1d2befac6946112cd80652d0c2b962e3c0d342", "title": "FA-RPN: Floating Region Proposals for Face Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05586.pdf"], "doi": []}, {"id": "239df42479c69cf95e7194cc0ec3d8cf7d4a98e8", "title": "Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/239d/f42479c69cf95e7194cc0ec3d8cf7d4a98e8.pdf"], "doi": []}, {"id": "a5ae44070857aa00e54ea80394a04fda412b335c", "title": "Scene Text Recognition using part-based TSM and Soft Output Viterbi Algorithm", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193134"]}, {"id": "e585dc6c810264d9f07e38c412379734a920714e", "title": "Facing reality: an industrial view on large scale use of facial expression analysis", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531926"]}, {"id": "350108a9dbb746dc6f127d98342c07d8019e3f46", "title": "Multi-view facial landmark detection by using a 3D shape model", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.003"]}, {"id": "f6511d8156058737ec5354c66ef6fdcf035d714d", "title": "Response Surface Learning for Face Misalignment Correction", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7016133"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "title": "Recognition of Faces from single and Multi-View Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2213/7ce9c01a8fdebf92ef35407a5a5d18730dde.pdf"], "doi": []}, {"id": "50a0930cb8cc353e15a5cb4d2f41b365675b5ebf", "title": "Robust Facial Landmark Detection and Face Tracking in Thermal Infrared Images using Active Appearance Models", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/50a0/930cb8cc353e15a5cb4d2f41b365675b5ebf.pdf"], "doi": []}, {"id": "104863192ffb35e285f7546d1ac842e001ac9084", "title": "Cloud-based scalable object detection and classification in video streams", "year": "2018", "pdf": ["http://orca-mwe.cf.ac.uk/98251/1/elsarticle-template-harv.pdf"], "doi": ["http://doi.org/10.1016/j.future.2017.02.003"]}, {"id": "7c1e1c767f7911a390d49bed4f73952df8445936", "title": "Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA)", "year": "2013", "pdf": ["http://cmp.felk.cvut.cz/~hurycd1/data/publications/zimmermann-TPAMI2014.pdf", "http://cmp.felk.cvut.cz/~zimmerk/zimmermann-TPAMI-2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778003", "http://doi.org/10.1109/TPAMI.2013.171", "https://www.ncbi.nlm.nih.gov/pubmed/24018637", "https://www.wikidata.org/entity/Q40558576"]}, {"id": "7f703613149b190ea3bb0e3c803844895419846b", "title": "Locating Facial Landmarks towards Plastic Surgery", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7314567", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2015.40", "http://doi.org/10.1109/SIBGRAPI.2015.40"]}, {"id": "d8904955fa93ad434f5156235ac94452eec57f64", "title": "Facial expression recognition in the wild based on multimodal texture features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48ec/4b2c3b6c6549fa7a988f8db135a41691f605.pdf"], "doi": []}, {"id": "b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57", "title": "Modeling Social and Temporal Context for Video Analysis", "year": "2015", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/zqin-phd.pdf"], "doi": ["https://www.base-search.net/Record/3b04a8f520744937ae3394bccbac1d98399bc9af219cd06cb618e7be7340943d"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "c61686b6fead7cd04f71ca29caba25b387498965", "title": "Computer Science and Management Studies Research Article / Paper / Case Study Available online at: www.ijarcsms.com A Survey on Face Recognition Eigen face and PCA method", "year": "2014", "pdf": [], "doi": []}, {"id": "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "title": "Supervised Transformer Network for Efficient Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05477.pdf"], "doi": []}, {"id": "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "title": "An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371751", "http://doi.org/10.1109/KSE.2015.50"]}, {"id": "3dd4d719b2185f7c7f92cc97f3b5a65990fcd5dd", "title": "Ensemble of Hankel Matrices for Face Emotion Recognition", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03811.pdf"], "doi": []}, {"id": "b0c512fcfb7bd6c500429cbda963e28850f2e948", "title": "A Fast and Accurate Unconstrained Face Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1408.1656.pdf"], "doi": []}, {"id": "4e7f0dfc390f88623c825fe702da45b994342011", "title": "Photorealistic Face De-Identification by Aggregating Donors' Face Components", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9da1/91858f65fd99c9b204a6f68916711d4bd51b.pdf"], "doi": []}, {"id": "fb0774049f2f34be194592822c74e2f2e603dea8", "title": "Landmark localization approach for facial computing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7920664"]}, {"id": "9285f4a6a06e975bde3ae3267fccd971d4fff98a", "title": "Attentional Push: A Deep Convolutional Network for Augmenting Image Salience with Shared Attention Modeling in Social Scenes", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Gorji_Attentional_Push_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099853", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.370", "http://doi.org/10.1109/CVPR.2017.370"]}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2030875"]}, {"id": "744c22e95eaceabb031589ba808bf2e9f24b04c7", "title": "From Sequence to Attention ; Search for a Compositional Bias in Sequence-to-Sequence Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f4cf/ad394b9d9441ed6f93be30e14f197df0e198.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "8d712cef3a5a8a7b1619fb841a191bebc2a17f15", "title": "Non-Verbal Communication Analysis in Victim-Offender Mediations", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2122.pdf"], "doi": []}, {"id": "dfb8a04a80d4b0794c0679d797cb90ec101e162c", "title": "Maximizing face recognition performance for video data under time constraints by using a cascade", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918665", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918665", "http://doi.org/10.1109/AVSS.2014.6918665"]}, {"id": "7a81967598c2c0b3b3771c1af943efb1defd4482", "title": "Do We Need More Training Data?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01508.pdf"], "doi": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"], "doi": []}, {"id": "aa331fe378056b6d6031bb8fe6676e035ed60d6d", "title": "Object detection using boosted local binaries", "year": "2016", "pdf": ["http://www.cs.sfu.ca/~li/papers-on-line/Haoyu-PR-2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.010"]}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "title": "Selfie Detection by Synergy-Constraint Based Convolutional Neural Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04357.pdf"], "doi": []}, {"id": "5445e5fe5e42698413cfaf90f8c52009f19539ff", "title": "A 3D Morphable Model of Craniofacial Shape and Texture Variation", "year": "2017", "pdf": ["http://eprints.whiterose.ac.uk/135062/1/ICCV2017LYHM.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Dai_A_3D_Morphable_ICCV_2017_paper.pdf", "http://www-users.cs.york.ac.uk/~nep/research/papers/Dai-ICCV2017-3DMMhead.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237597", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.335", "http://doi.org/10.1109/ICCV.2017.335"]}, {"id": "2ff9618ea521df3c916abc88e7c85220d9f0ff06", "title": "Facial Tic Detection Using Computer Vision", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bb08/f64565ee68e868dcab904cada9646dd5f676.pdf"], "doi": []}, {"id": "b1a3b19700b8738b4510eecf78a35ff38406df22", "title": "Automatic Analysis of Facial Actions : A Survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b1a3/b19700b8738b4510eecf78a35ff38406df22.pdf"], "doi": []}, {"id": "22ccd537857aca1ee4b961f081f07c58d42a7f32", "title": "Face Recognition Despite Wearing Glasses", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371260", "http://doi.org/10.1109/DICTA.2015.7371260"]}, {"id": "90b11e095c807a23f517d94523a4da6ae6b12c76", "title": "Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.08475.pdf"], "doi": []}, {"id": "87bb183d8be0c2b4cfceb9ee158fee4bbf3e19fd", "title": "Craniofacial Image Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/87bb/183d8be0c2b4cfceb9ee158fee4bbf3e19fd.pdf"], "doi": []}, {"id": "1dc6c0ad19b41e5190fc9fe50e3ae27f49f18fa2", "title": "Head Pose Estimation in First-Person Camera Views", "year": "2014", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/ICPR_2014_head_pose.pdf", "http://www.researchgate.net/profile/Stefano_Alletto/publication/265611795_Head_Pose_Estimation_in_First-Person_Camera_Views/links/5416b5ef0cf2788c4b35e14b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977430", "http://doi.org/10.1109/ICPR.2014.718"]}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "e81b7576356c8b579e3dfa32d1edf7bfdf9c27ea", "title": "Head Pose Estimation with Improved Random Regression Forests", "year": "2013", "pdf": ["http://downloads.hindawi.com/journals/mpe/2015/703514.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-02961-0_57"]}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "4c1ce6bced30f5114f135cacf1a37b69bb709ea1", "title": "Gaze direction estimation by component separation for recognition of Eye Accessing Cues", "year": "2014", "pdf": ["http://imag.pub.ro/common/staff/cflorea/papers/nlp_eye_MVA_site.pdf"], "doi": ["http://doi.org/10.1007/s00138-014-0656-8"]}, {"id": "fd126e36337999640a0b623611b5fec8de390d46", "title": "Human Identification Using Automatic and Semi-Automatically Detected Facial Marks.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27405018", "http://doi.org/10.1111/1556-4029.12923"]}, {"id": "12055b8f82d5411f9ad196b60698d76fbd07ac1e", "title": "Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns", "year": "2014", "pdf": ["https://zhzhanp.github.io/papers/TCSVT2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6748892", "http://doi.org/10.1109/TCSVT.2014.2308639"]}, {"id": "9abab00de61dd722b3ad1b8fa9bffd0001763f8b", "title": "Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080924", "http://doi.org/10.1109/TPAMI.2015.2420563", "https://www.ncbi.nlm.nih.gov/pubmed/26670586", "https://www.wikidata.org/entity/Q38398435"]}, {"id": "5dff253fab3740871784a8afc9613d7189a70ec9", "title": "Video Magnification to Detect Heart Rate for Drivers", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5dff/253fab3740871784a8afc9613d7189a70ec9.pdf"], "doi": []}, {"id": "642417f2bb1ff98989e0a0aa855253fed1fffe04", "title": "Auto zoom crop from face detection and facial features", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2004255"]}, {"id": "b171f9e4245b52ff96790cf4f8d23e822c260780", "title": "Robotics Institute Summer Scholars Working Papers Journal Volume 2 Fall 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c86/efd96c9ea295fa6c0311b59a8dba76237f32.pdf"], "doi": []}, {"id": "ba017a8d16e47e57a1f3eb5a94c1ba24e6952274", "title": "An Optokinetic Nystagmus Detection Method for Use With Young Children", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7055238", "http://doi.org/10.1109/JTEHM.2015.2410286", "https://www.ncbi.nlm.nih.gov/pubmed/27170889"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee", "title": "Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05612.pdf"], "doi": []}, {"id": "6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd", "title": "Multi-Scale Fully Convolutional Network for Fast Face Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f7d/06ced04ead3b9a5da86b37e7c27bfcedbbdd.pdf"], "doi": []}, {"id": "33688a865aa0d0fd19cb488bb5258b1203fd42d3", "title": "Human Face Pose Estimation based on Feature Extraction Points", "year": "2016", "pdf": ["http://www.ijcaonline.org/archives/volume142/number9/bhullar-2016-ijca-909922.pdf", "https://www.ijcaonline.org/archives/volume142/number9/24928-24928-2016909922?format=pdf"], "doi": ["https://doi.org/10.5120/ijca2016909922"]}, {"id": "b8a829b30381106b806066d40dd372045d49178d", "title": "A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation", "year": "2015", "pdf": ["http://gavrila.net/tits15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7010032", "http://doi.org/10.1109/TITS.2014.2379441"]}, {"id": "f531ce18befc03489f647560ad3e5639566b39dc", "title": "Boosting Speed and Accuracy in Deformable Part Models for Face Image in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422386", "http://doi.ieeecomputersociety.org/10.1109/ACOMP.2015.9", "http://doi.org/10.1109/ACOMP.2015.9"]}, {"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": "d904f945c1506e7b51b19c99c632ef13f340ef4c", "title": "0 \u00b0 15 \u00b0 30 \u00b0 45 \u00b0 60 \u00b0 75 \u00b0 90 \u00b0", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d904/f945c1506e7b51b19c99c632ef13f340ef4c.pdf"], "doi": []}, {"id": "652ec3947d3d04dda719b1f5ba7c975e567166ef", "title": "Machine Vision and Applications Model-free Non-rigid Head Pose Tracking by Joint Shape and Pose Estimation", "year": "", "pdf": [], "doi": []}, {"id": "653b957d4c70d6cbf8de443df497e47edcab77b4", "title": "OuluVS2: A multi-view audiovisual database for non-rigid mouth motion analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163155", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163155", "http://doi.org/10.1109/FG.2015.7163155"]}, {"id": "bb070c019c0885232f114c7dca970d2afd9cd828", "title": "A Novel Landmark Detector System for Multi Resolution Frontal Faces", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008089", "http://doi.org/10.1109/DICTA.2014.7008089"]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "8aed6ec62cfccb4dba0c19ee000e6334ec585d70", "title": "Localizing and Visualizing Relative Attributes", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8aed/6ec62cfccb4dba0c19ee000e6334ec585d70.pdf"], "doi": []}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"id": "912a6a97af390d009773452814a401e258b77640", "title": "An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01520.pdf"], "doi": []}, {"id": "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "title": "Implementation of Partial Face Recognition using Directional Binary Code", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a6c/3c37c2e62b21ebc0f3533686dde4d0103b3f.pdf"], "doi": []}, {"id": "020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb", "title": "An Efficient and Flexible FPGA Implementation of a Face Detection System", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/020d/97ca2bf617b7ffed5a31aa8a27ffa5efadbb.pdf"], "doi": []}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "3a591a9b5c6d4c62963d7374d58c1ae79e3a4039", "title": "Driver Cell Phone Usage Detection from HOV/HOT NIR Images", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Artan_Driver_Cell_Phone_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.42", "http://doi.org/10.1109/CVPRW.2014.42"]}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"id": "fa59e9f47e2a467afc81fe1ed737563a3eabf223", "title": "Face recognition across pose for PTZ camera video surveillance applications", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593006"]}, {"id": "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "title": "Extending Procrustes Analysis: Building Multi-view 2-D Models from 3-D Human Shape Samples", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/17a8/5799c59c13f07d4b4d7cf9d7c7986475d01c.pdf"], "doi": []}, {"id": "8a46f8edd522fb5fc7002b2b356ac9ae3d551f10", "title": "Network and System Security", "year": "2018", "pdf": ["https://www.cs.odu.edu/~malmalag/CS472Spring2013/CS472-S13-lec01.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-02744-5"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "8cb6daba2cb1e208e809633133adfee0183b8dd2", "title": "Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8cb6/daba2cb1e208e809633133adfee0183b8dd2.pdf"], "doi": []}, {"id": "b73e1f50f2d6f2438c545da6703621cdcc5b3199", "title": "Hyperspectral Data Acquisition and Its Application for Face Recognition", "year": "2015", "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": "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": "213a579af9e4f57f071b884aa872651372b661fd", "title": "Automatic and Efficient Human Pose Estimation for Sign Language Videos", "year": "2013", "pdf": ["http://tomas.pfister.fi/files/charles13ijcv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2013/Charles13a/charles13a.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0672-6"]}, {"id": "1dca6a54d201dd56b41a5475aaf498a207083b0e", "title": "Ego-surfing first person videos", "year": "2015", "pdf": ["https://arxiv.org/pdf/1606.04637.pdf"], "doi": []}, {"id": "365f67fe670bf55dc9ccdcd6888115264b2a2c56", "title": "Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.08212.pdf"], "doi": []}, {"id": "05f3744c2d272910fad0adc3a5fd9e919e005150", "title": "Head pose recovery and shape estimation in still images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bac7/5e1997d248dbd1b12e8b37bb663232687d4a.pdf"], "doi": []}, {"id": "f1173a4c5e3501323b37c1ae9a6d7dd8a236eab8", "title": "Convolutional Channel Features For Pedestrian, Face and Edge Detection", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07339"]}, {"id": "f5770dd225501ff3764f9023f19a76fad28127d4", "title": "Real Time Online Facial Expression Transfer with Single Video Camera", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f577/0dd225501ff3764f9023f19a76fad28127d4.pdf"], "doi": []}, {"id": "e9d43231a403b4409633594fa6ccc518f035a135", "title": "Deformable Part Models with CNN Features", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e9d4/3231a403b4409633594fa6ccc518f035a135.pdf"], "doi": []}, {"id": "ce5e50467e43e3178cbd86cfc3348e3f577c4489", "title": "Extending a local matching face recognition approach to low-resolution video", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636683", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636683", "http://doi.org/10.1109/AVSS.2013.6636683"]}, {"id": "2ae139b247057c02cda352f6661f46f7feb38e45", "title": "Combining modality specific deep neural networks for emotion recognition in video", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531745"]}, {"id": "31d51e48dbd9e7253eafe0719f3788adb564a971", "title": "Visual Phrases for Exemplar Face Detection", "year": "2015", "pdf": ["http://cvit.iiit.ac.in/projects/exemplar/vijayICCV15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410588", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.231", "http://doi.org/10.1109/ICCV.2015.231"]}, {"id": "01bef320b83ac4405b3fc5b1cff788c124109fb9", "title": "Translating Head Motion into Attention - Towards Processing of Student's Body-Language.", "year": "2015", "pdf": ["http://www.educationaldatamining.org/EDM2015/proceedings/full320-326.pdf", "https://infoscience.epfl.ch/record/207803/files/edm_raca15.pdf"], "doi": []}, {"id": "8be60114634caa0eff8566f3252cb9a1b7d5ef10", "title": "Multiple target tracking with structural inference", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890133", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890133", "http://doi.org/10.1109/ICME.2014.6890133"]}, {"id": "0629bc2b12245195af989e21573369329b7ef2b7", "title": "BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451244", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2553038", "http://doi.org/10.1109/TAFFC.2016.2553038"]}, {"id": "83b7578e2d9fa60d33d9336be334f6f2cc4f218f", "title": "The S-HOCK dataset: Analyzing crowds at the stadium", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Conigliaro_The_S-Hock_Dataset_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298815", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298815", "http://doi.org/10.1109/CVPR.2015.7298815"]}, {"id": "290eeaed75693eda17ac6703f0a8364f14c24701", "title": "Learning to Deblur Images with Exemplars", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05503.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "citations": [{"id": "3233e3a6fa5acf7939259b4e881b8e635de5cae7", "title": "Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09019.pdf"], "doi": []}, {"id": "3fe3d6ff7e5320f4395571131708ecaef6ef4550", "title": "TV News Retrieval Based on Story Segmentation and Concept Association", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7907487", "http://doi.org/10.1109/SITIS.2016.60"]}, {"id": "d8c9ce0bd5e4b6d1465402a760845e23af5ac259", "title": "Robust Face Detection with Eyes Occluded by the Shadow from Dazzling Avoidance System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313472", "http://doi.org/10.1109/ITSC.2015.380"]}, {"id": "30f62b05b9a69d671be4112d47eba90028a26c71", "title": "Predicting Students\u2019 GPA and Developing Intervention Strategies Based on Self-Regulatory Learning Behaviors", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016571"]}, {"id": "102e374347698fe5404e1d83f441630b1abf62d9", "title": "Facial Image Analysis for Fully Automatic Prediction of Difficult Endotracheal Intubation", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/209965/files/TBME-preprint-infoscience.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7159059", "http://doi.org/10.1109/TBME.2015.2457032", "https://www.ncbi.nlm.nih.gov/pubmed/26186767", "https://www.wikidata.org/entity/Q40724101"]}, {"id": "df096e221cc92c481d34443f4788c96ee412b189", "title": "Facial Expression Recognition by De-expression Residue Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578329"]}, {"id": "7177649ece5506b315cb73c36098baac1681b8d2", "title": "Lower Resolution Face Recognition in Surveillance Systems Using Discriminant Correlation Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961841", "http://doi.org/10.1109/FG.2017.130", "https://www.wikidata.org/entity/Q56384707"]}, {"id": "cad52d74c1a21043f851ae14c924ac689e197d1f", "title": "From Ego to Nos-Vision: Detecting Social Relationships in First-Person Views", "year": "2014", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/EGO_CVPRW_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W16/papers/Alletto_From_Ego_to_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910040", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.91", "http://doi.org/10.1109/CVPRW.2014.91"]}, {"id": "b599f323ee17f12bf251aba928b19a09bfbb13bb", "title": "Autonomous Quadcopter Videographer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b599/f323ee17f12bf251aba928b19a09bfbb13bb.pdf"], "doi": []}, {"id": "970681bbc2ee19a1e9f6c765ebf86003fbdc3471", "title": "Methods for facial expression recognition with applications in challenging situations", "year": "2014", "pdf": [], "doi": []}, {"id": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "pdf": [], "doi": []}, {"id": "83fd5c23204147844a0528c21e645b757edd7af9", "title": "USDOT number localization and recognition from vehicle side-view NIR images", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W05/papers/Bulan_USDOT_Number_Localization_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301301", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301301", "http://doi.org/10.1109/CVPRW.2015.7301301"]}, {"id": "1fef53b07c6c625545fc071c7386d41f87925675", "title": "A rule-based methodology and assessment for context-aware privacy", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981839"]}, {"id": "b51e3d59d1bcbc023f39cec233f38510819a2cf9", "title": "Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?", "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.4082.pdf"], "doi": []}, {"id": "be6bd94322dd0ecfc8ea99eb7f40a9a14dd3471f", "title": "Automatic Face Annotation System Used Pyramid Database Architecture for Online Social Networks", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6726280", "http://doi.org/10.1109/UIC-ATC.2013.32"]}, {"id": "699b8250fb93b3fa64b2fc8f59fef036e172564d", "title": "Spontaneous Facial Expression Recognition: A Part Based Approach", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838251", "http://doi.org/10.1109/ICMLA.2016.0147"]}, {"id": "96a8f115df9e2c938453282feb7d7b9fde6f4f95", "title": "Facial Expression Recognition in Video with Multiple Feature Fusion", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7518582", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2593719", "http://doi.org/10.1109/TAFFC.2016.2593719"]}, {"id": "8a8127a06f432982bfb0150df3212f379b36840b", "title": "Analysis of Yawning Behaviour in Spontaneous Expressions of Drowsy Drivers", "year": "2018", "pdf": ["https://www.cl.cam.ac.uk/~mmam3/pub/FG2018-HBU-yawining.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373884", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00091", "http://doi.org/10.1109/FG.2018.00091"]}, {"id": "44c278cbecd6c1123bfa5df92e0bda156895fa48", "title": "Head Pose Estimation by Instance Parameterization", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977027", "http://doi.org/10.1109/ICPR.2014.316"]}, {"id": "9d6e5c1fef16f9a9ace7ce90e6a547905be6b25d", "title": "( Simulated Expressions ) : Terjadi ketika ekspresi mikro tidak disertai ekspresi aslinya . 2 )", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9d6e/5c1fef16f9a9ace7ce90e6a547905be6b25d.pdf"], "doi": []}, {"id": "ed82f10e5bfe1825b9fa5379a1d0017b96fa1ebf", "title": "A Face-Recognition Approach Using Deep Reinforcement Learning Approach for User Authentication", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8119148", "http://doi.ieeecomputersociety.org/10.1109/ICEBE.2017.36", "http://doi.org/10.1109/ICEBE.2017.36"]}, {"id": "a3e66902fd95b757edca4268c8a29258ae9b15cb", "title": "Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes", "year": "2015", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Yashaswi2015Exploring.pdf", "http://web2py.iiit.ac.in/research_centres/publications/download/inproceedings.pdf.9e10abf4c148e233.5961736861737769323031354578706c6f72696e672e706466.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/abstract170.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/paper170.pdf"], "doi": ["https://doi.org/10.5244/C.29.170"]}, {"id": "76b11c281ac47fe6d95e124673a408ee9eb568e3", "title": "Real-time Multi View Face Detection and Pose Estimation Aishwarya", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76b1/1c281ac47fe6d95e124673a408ee9eb568e3.pdf"], "doi": []}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "b8978a5251b6e341a1171e4fd9177aec1432dd3a", "title": "FaceHunter: A multi-task convolutional neural network based face detector", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.04.004"]}, {"id": "39b22bcbd452d5fea02a9ee63a56c16400af2b83", "title": "Multi-task Learning of Facial Landmarks and Expression", "year": "2014", "pdf": ["http://www.uoguelph.ca/~gwtaylor/publications/devries2014multi-task.pdf", "http://www.uoguelph.ca/~gwtaylor/publications/gwtaylor_crv2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6816830", "http://doi.ieeecomputersociety.org/10.1109/CRV.2014.21", "http://doi.org/10.1109/CRV.2014.21"]}, {"id": "57dc55edade7074f0b32db02939c00f4da8fe3a6", "title": "Yaw Estimation Using Cylindrical and Ellipsoidal Face Models", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6807708", "http://doi.org/10.1109/TITS.2014.2313371"]}, {"id": "a6e75b4ccc793a58ef0f6dbe990633f7658c7241", "title": "Boosting Hankel matrices for face emotion recognition and pain detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.10.007"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "9282239846d79a29392aa71fc24880651826af72", "title": "Classification of extreme facial events in sign language videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f3f/d27ba8fd119c51ca14d1e1f154c4bc50a83c.pdf"], "doi": []}, {"id": "2162654cb02bcd10794ae7e7d610c011ce0fb51b", "title": "Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025952"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "010c6081a66990ce7754f12dd1b37fc677a7751d", "title": "Facial first impressions from another angle: How social judgements are influenced by changeable and invariant facial properties.", "year": "2017", "pdf": ["http://eprints.whiterose.ac.uk/102935/1/Sutherland_et_al_accepted_15_June_2016_BJP.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27443971", "https://doi.org/10.1111/bjop.12206"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "b36a80d15c3e48870ea6118b855055cc34307658", "title": "Facial 3D Shape Estimation from Images for Visual Speech Animation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976728", "http://doi.org/10.1109/ICPR.2014.17"]}, {"id": "05487784c1c94e17c26862e342c1b81acfe11258", "title": "Spontaneous facial expression analysis based on temperature changes and head motions", "year": "2015", "pdf": ["http://videolectures.net/site/normal_dl/tag=977246/fgconference2015_liu_head_motions_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163094", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163094", "http://doi.org/10.1109/FG.2015.7163094"]}, {"id": "02431ed90700d5cfe4e3d3a20f1e97de3e131569", "title": "Finding Actors and Actions in Movies", "year": "2013", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=A668684E950686DFF50E8BA323DC811B?doi=10.1.1.414.5058&rep=rep1&type=pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Bojanowski_Finding_Actors_and_2013_ICCV_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/bojanowski2013finding.pdf", "http://www.di.ens.fr/willow/research/actoraction/bojanowski2013finding_poster.pdf", "http://www.di.ens.fr/~bojanowski/papers/bojanowski13finding.pdf", "http://www.di.ens.fr/~bojanowski/papers/bojanowski13finding_poster.pdf", "http://www.di.ens.fr/~josef/publications/bojanowski13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751394", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.283", "http://doi.org/10.1109/ICCV.2013.283"]}, {"id": "529baf1a79cca813f8c9966ceaa9b3e42748c058", "title": "Triangle wise Mapping Technique to Transform one Face Image into Another Face Image", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6ae7/47cf58eeda0687a3f779aaecfa12403b9684.pdf"], "doi": []}, {"id": "bcb99d5150d792001a7d33031a3bd1b77bea706b", "title": "Facial Descriptors for Human Interaction Recognition In Still Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05366.pdf"], "doi": []}, {"id": "1ea21515ddad82f1e85b4c5883b93ea3909019b5", "title": "Histograms of Sparse Codes for Object Detection", "year": "2013", "pdf": ["http://homes.cs.washington.edu/~xren/publication/xren_cvpr13_detection.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d246.pdf", "http://www.csc.kth.se/~azizpour/rg/materials/hossein_008_slides.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Histograms_of_Sparse_2013_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/slides/ren__cvpr2013__histograms__azizpour.pdf", "https://www.cs.cmu.edu/~deva/papers/hsc.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619261", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.417", "http://doi.org/10.1109/CVPR.2013.417"]}, {"id": "11be33019f591214c8f79dbcb24a50d8f7fa5c95", "title": "Salgan 360 : Visual Saliency Prediction on 360 Degree Images with Generative Adversarial Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/11be/33019f591214c8f79dbcb24a50d8f7fa5c95.pdf"], "doi": []}, {"id": "392425be1c9d9c2ee6da45de9df7bef0d278e85f", "title": "Vision for Intelligent Vehicles & Applications (VIVA): Face detection and head pose challenge", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0411.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535512", "http://doi.org/10.1109/IVS.2016.7535512"]}, {"id": "038ce930a02d38fb30d15aac654ec95640fe5cb0", "title": "Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices", "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/BVGFacialFeatureTrackerMobile.pdf", "http://kylezheng.org/papers/SO_CLMslideatFG.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/BVGFacialFeatureTrackerMobile.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553701.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553701", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553701", "http://doi.org/10.1109/FG.2013.6553701"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"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": "1cb0c11620bde2734c1a428c789158ffff0d6c7b", "title": "A Framework of Enlarging Face Datasets Used for Makeup Face Analysis", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7545025", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2016.62", "http://doi.org/10.1109/BigMM.2016.62"]}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "93dea8bca77df9841bab6b0bcef6d56cb51e761d", "title": "Improving retail efficiency through sensing technologies: A survey", "year": "2016", "pdf": ["http://oa.upm.es/46144/1/INVE_MEM_2016_249461.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.05.027"]}, {"id": "ab00ea1aa2f81fbe139b4632ec3682dfb7312ef0", "title": "Comparison of face detection and image classification for detecting front seat passengers in vehicles", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835994", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835994", "http://doi.org/10.1109/WACV.2014.6835994"]}, {"id": "826015d9ade1637b3fcbeca071e3137d3ac1ef56", "title": "A Deep Learning Frame-Work for Recognizing Developmental Disorders", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926667", "http://doi.org/10.1109/WACV.2017.84"]}, {"id": "10d334a98c1e2a9e96c6c3713aadd42a557abb8b", "title": "Scene Text Recognition Using Part-Based Tree-Structured Character Detection", "year": "2013", "pdf": ["http://sunw.csail.mit.edu/2013/papers/Shi_19_SUNw.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c961.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shi_Scene_Text_Recognition_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619225", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.381", "http://doi.org/10.1109/CVPR.2013.381"]}, {"id": "46a4551a6d53a3cd10474ef3945f546f45ef76ee", "title": "Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariTrivedi_IV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6856607", "http://doi.org/10.1109/IVS.2014.6856607"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "1dd56ce2f980283a9f167b9a84c3d42a47481524", "title": "FaceCept3D: Real Time 3D Face Tracking and Analysis", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w2/papers/Tulyakov_FaceCept3D_Real_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406362", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.13", "http://doi.org/10.1109/ICCVW.2015.13"]}, {"id": "228558a2a38a6937e3c7b1775144fea290d65d6c", "title": "Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-landmark-localization/SmithCVPR2014.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-landmark-localization/SmithCVPR2014_supplementary.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Smith_Nonparametric_Context_Modeling_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909621", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.225", "http://doi.org/10.1109/CVPR.2014.225"]}, {"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": "60777fbca8bff210398ec8b1179bc4ecb72dfec0", "title": "A Deformable Mixture Parsing Model with Parselets", "year": "2013", "pdf": ["http://next.comp.nus.edu.sg/sites/default/files/publication-attachments/A%20Deformable%20Mixture%20Part%20Model%20with%20Parselets.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Dong_A_Deformable_Mixture_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751535", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.423", "http://doi.org/10.1109/ICCV.2013.423"]}, {"id": "da386f486dd2f12281aabb368543e62459f1e79a", "title": "Cascade of Boolean detector combinations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef4/c6bb430c4792522866fdad40a0ed8e76809f.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "2fe86e9c115562df2114eeedc7db1aece07a3638", "title": "Effects of surface materials on polarimetric-thermal measurements: applications to face recognition.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27409214", "http://doi.org/10.1364/AO.55.005226"]}, {"id": "ef26b36eb5966364c71d4fed135fe68f891127e5", "title": "Joint Face Detection and Facial Expression Recognition with MTCNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110322"]}, {"id": "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "title": "Engineered and learned features for face and facial expression recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "25695abfe51209798f3b68fb42cfad7a96356f1f", "title": "AN INVESTIGATION INTO COMBINING BOTH FACIAL DETECTION AND LANDMARK LOCALISATION INTO A UNIFIED PROCEDURE USING GPU COMPUTING", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2569/5abfe51209798f3b68fb42cfad7a96356f1f.pdf"], "doi": []}, {"id": "a55efc4a6f273c5895b5e4c5009eabf8e5ed0d6a", "title": "Continuous Head Movement Estimator for Driver Assistance: Issues, Algorithms, and On-Road Evaluations", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariMartinTrivedi_IEEETITS2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6746153", "http://doi.org/10.1109/TITS.2014.2300870"]}, {"id": "7384c39a2d084c93566b98bc4d81532b5ad55892", "title": "A Comparative Study of Face Landmarking Techniques", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e5d/a8dbe9255b72ddbd6465acbe0d04325f9c50.pdf"], "doi": []}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "cbc2de9b919bc63590b6ee2dfd9dda134af45286", "title": "Direct face detection and video reconstruction from event cameras", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477561", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477561", "http://doi.org/10.1109/WACV.2016.7477561"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "d69df51cff3d6b9b0625acdcbea27cd2bbf4b9c0", "title": "Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d69d/f51cff3d6b9b0625acdcbea27cd2bbf4b9c0.pdf"], "doi": []}, {"id": "58bb77dff5f6ee0fb5ab7f5079a5e788276184cc", "title": "Facial expression recognition with PCA and LBP features extracting from active facial patches", "year": "2016", "pdf": ["https://ram-lab.com/papers/2016/rcar_lyp_192.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7784056", "http://doi.org/10.1109/RCAR.2016.7784056"]}, {"id": "cc9a61a30afdb8a5bc7088e1cef814b53dc4fc66", "title": "Multi-Pose and Occluded Facial Landmark Localization Via Sparse Shape Representation", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1142/s0218213015400199"]}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"], "doi": ["https://doi.org/10.1155/2016%2F6390741", "https://doi.org/10.1155/2016/6390741"]}, {"id": "3998c5aa6be58cce8cb65a64cb168864093a9a3e", "title": "Understanding head and hand activities and coordination in naturalistic driving videos", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/HeadHand.pdf", "http://cvrr.ucsd.edu/publications/2014/MartinOhnbarTawariTrivedi_IV2014.pdf", "http://cvrr.ucsd.edu/scmartin/presentation/IV2014_HeadHand.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6856610", "http://doi.org/10.1109/IVS.2014.6856610"]}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "3cb64217ca2127445270000141cfa2959c84d9e7", "title": "Can body expressions contribute to automatic depression analysis?", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Joshi_Goecke_Parker_Breakspear_FG2013_CanBodyExpressionsContributeToAutomaticDepressionAnalysis.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553796.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553796", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553796", "http://doi.org/10.1109/FG.2013.6553796"]}, {"id": "26e570049aaedcfa420fc8c7b761bc70a195657c", "title": "Hybrid Facial Regions Extraction for Micro-expression Recognition System", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/26e5/70049aaedcfa420fc8c7b761bc70a195657c.pdf"], "doi": []}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.008"]}, {"id": "106732a010b1baf13c61d0994552aee8336f8c85", "title": "Expanded Parts Model for Semantic Description of Humans in Still Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.04186.pdf"], "doi": []}, {"id": "17cf838720f7892dbe567129dcf3f7a982e0b56e", "title": "Global-Local Face Upsampling Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07235.pdf"], "doi": []}, {"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": "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": "7ac2fc0fcda50c358cc812007bd99f370b779324", "title": "Automatic temporal segment detection via bilateral long short-term memory recurrent neural networks", "year": "2017", "pdf": ["http://www.bnusei.net/wp-content/uploads/2017/11/JEI_26_2_020501.pdf"], "doi": ["https://doi.org/10.1117/1.JEI.26.2.020501", "https://www.spiedigitallibrary.org/journalArticle/Download?fullDOI=10.1117/1.JEI.26.2.020501"]}, {"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": "56dca23481de9119aa21f9044efd7db09f618704", "title": "Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.02772.pdf"], "doi": []}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "2c61a9e26557dd0fe824909adeadf22a6a0d86b0", "title": "Convolutional Channel Features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07339.pdf"], "doi": []}, {"id": "0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a", "title": "Detection and Tracking of Faces in Videos: A Review of Related Work", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0d33/b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a.pdf"], "doi": []}, {"id": "120b9c271c3a4ea0ad12bbc71054664d4d460bc3", "title": "Face Recognition against Mouth Shape Variations", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371259", "http://doi.org/10.1109/DICTA.2015.7371259"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "title": "Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision", "year": "2014", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Pedersoli_Using_a_Deformation_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909867", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.472", "http://doi.org/10.1109/CVPR.2014.472"]}, {"id": "b3c60b642a1c64699ed069e3740a0edeabf1922c", "title": "Max-Margin Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00046.pdf"], "doi": []}, {"id": "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "title": "Learning Flexible Block based Local Binary Patterns for unconstrained face detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890187"]}, {"id": "e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66", "title": "Cognitive Learning for Social Robot through Facial Expression from Video Input", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e9ed/17fd8bf1f3d343198e206a4a7e0561ad7e66.pdf"], "doi": []}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373846"]}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "0b174d4a67805b8796bfe86cd69a967d357ba9b6", "title": "A Survey on Face Detection and Recognition Approaches", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0b17/4d4a67805b8796bfe86cd69a967d357ba9b6.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": "747c25bff37b96def96dc039cc13f8a7f42dbbc7", "title": "EmoNets: Multimodal deep learning approaches for emotion recognition in video", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01800.pdf"], "doi": []}, {"id": "e50ee29ca12028cb903cd498bb9cacd41bd5ce3a", "title": "Single-view-based 3D facial reconstruction method robust against pose variations", "year": "2015", "pdf": ["http://cherup.yonsei.ac.kr/files/Paper/2015_PR_Single-view-based%203D%20facial%20reconstruction%20method%20robust%20against%20pose%20variations.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.07.013"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "40f127fa4459a69a9a21884ee93d286e99b54c5f", "title": "Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos", "year": "2013", "pdf": ["http://graphics.tu-bs.de/media/publications/stengel2013resolution.pdf", "https://www.graphics.tu-bs.de/upload/publications/stengel2013resolution.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6522878", "http://doi.org/10.1109/TIP.2013.2265885", "https://www.ncbi.nlm.nih.gov/pubmed/23744682", "https://www.wikidata.org/entity/Q51205072"]}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "25885e9292957feb89dcb4a30e77218ffe7b9868", "title": "Analyzing the Affect of a Group of People Using Multi-modal Framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.03640.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": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486464", "http://doi.org/10.1109/ACPR.2015.7486464"]}, {"id": "00a3cfe3ce35a7ffb8214f6db15366f4e79761e3", "title": "Using Kinect for real-time emotion recognition via facial expressions", "year": "2015", "pdf": ["http://engineering.cae.cn/fitee/fileup/2095-9184/SUPPL/20150414135701.pdf"], "doi": ["http://doi.org/10.1631/FITEE.1400209"]}, {"id": "7c7b0550ec41e97fcfc635feffe2e53624471c59", "title": "Head, Eye, and Hand Patterns for Driver Activity Recognition", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/headhandeye.pdf", "http://cvrr.ucsd.edu/publications/2014/headhandeye.pdf", "https://eshed1.github.io/papers/headhandeye.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976834", "http://doi.org/10.1109/ICPR.2014.124"]}, {"id": "44a3ec27f92c344a15deb8e5dc3a5b3797505c06", "title": "A Taxonomy of Part and Attribute Discovery Techniques", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/44a3/ec27f92c344a15deb8e5dc3a5b3797505c06.pdf"], "doi": []}, {"id": "4a0f98d7dbc31497106d4f652968c708f7da6692", "title": "Real-time eye gaze direction classification using convolutional neural network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05258.pdf"], "doi": []}, {"id": "30c93fec078b98453a71f9f21fbc9512ab3e916f", "title": "Multimodal Egocentric Analysis of Focused Interactions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395274", "http://doi.org/10.1109/ACCESS.2018.2850284", "https://doi.org/10.1109/ACCESS.2018.2850284"]}, {"id": "3157be811685c93d0cef7fa4c489efea581f9b8e", "title": "Multi-spectral Imaging for Robust Ocular Biometrics", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411222", "http://doi.org/10.1109/ICB2018.2018.00038", "https://doi.org/10.1109/ICB2018.2018.00038"]}, {"id": "a4de780b8b333f073667c1f2dd7b3ae54a97f380", "title": "Research on Abnormal Behavior Detection of Online Examination Based on Image Information", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8530188"]}, {"id": "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "title": "Adversarially Optimizing Intersection over Union for Object Localization Tasks", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1710.07735"]}, {"id": "d861c658db2fd03558f44c265c328b53e492383a", "title": "Automated face extraction and normalization of 3D Mesh Data", "year": "2014", "pdf": ["http://homes.cs.washington.edu/~shapiro/Multimedia/Jia_EMBC2014_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6943699", "http://doi.org/10.1109/EMBC.2014.6943699", "https://www.ncbi.nlm.nih.gov/pubmed/25570067", "https://www.wikidata.org/entity/Q30883352"]}, {"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": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "123a9768700433c405bd7266f4c57ca8222e7fe1", "title": "Expanded Parts Model for Human Attribute and Action Recognition in Still Images", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Sharma_Expanded_Parts_Model_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a652.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/sharma__cvpr2013__expanded.pdf", "https://hal.inria.fr/hal-00816144/file/sharma_epm_cvpr2013.pdf", "https://jurie.users.greyc.fr/papers/13_CVPR_EPPM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618934", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.90", "http://doi.org/10.1109/CVPR.2013.90"]}, {"id": "15a3c96a0cf4c0d7f4abd025572255f82e017ff7", "title": "High-quality face capture, animation and editing from monocular video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a3/c96a0cf4c0d7f4abd025572255f82e017ff7.pdf"], "doi": []}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1287/bfe73e381cc8042ac0cc27868ae086e1ce3b.pdf"], "doi": []}, {"id": "c71552fb2a18458a5607c609b96433004ada1131", "title": "Review of Selected Techniques and Measures Affecting the Reliability of Face Image Acquisition Systems / Przegl\u0105d Wybranych Technik I \u015arodk\u00f3w Wp\u0142ywaj\u0105cych Na Niezawodno\u015b\u0107 Dzia\u0142ania System\u00f3w Akwizycji Obrazu Twarzy", "year": "2014", "pdf": ["https://content.sciendo.com/downloadpdf/journals/jok/29/1/article-p49.pdf"], "doi": ["https://doi.org/10.2478/jok-2014-0006"]}, {"id": "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "title": "Joint optimization of manifold learning and sparse representations", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/Andy_files/AI_Seminar_March_1_2013_Ptucha.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553786.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553786", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553786", "http://doi.org/10.1109/FG.2013.6553786", "http://scholarworks.rit.edu/cgi/viewcontent.cgi?article=5352&context=theses"]}, {"id": "5334ac0a6438483890d5eef64f6db93f44aacdf4", "title": "MINH HOAI : REGULARIZEDMAX POOLING FOR IMAGE CATEGORIZATION 1 Regularized Max Pooling for Image Categorization", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5334/ac0a6438483890d5eef64f6db93f44aacdf4.pdf"], "doi": []}, {"id": "9888ce5cb5cae8ba4f288806d126b1114e0a7f9b", "title": "Enhanced face recognition using 8-Connectivity-of-Skin-Region and Standard-Deviation-based-Pose-Detection as preprocessing techniques", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006034", "http://doi.org/10.1109/MedCom.2014.7006034"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "1f8e44593eb335c2253d0f22f7f9dc1025af8c0d", "title": "Fine-Tuning Regression Forests Votes for Object Alignment in the Wild", "year": "2015", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22607/Patras%20Fine-tuning%20regression%202014%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6987359", "http://doi.org/10.1109/TIP.2014.2383325", "https://www.ncbi.nlm.nih.gov/pubmed/25532183", "https://www.wikidata.org/entity/Q41658941"]}, {"id": "cbe1df2213a88eafc5dcaf55264f2523fe3ec981", "title": "Automatic 4D Facial Expression Recognition Using DCT Features", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045888", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.34", "http://doi.org/10.1109/WACV.2015.34"]}, {"id": "0d90c992dd08bfb06df50ab5c5c77ce83061e830", "title": "An Automatic Face Annotation System Featuring High Accuracy for Online Social Networks", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6726205", "http://doi.org/10.1109/UIC-ATC.2013.85"]}, {"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"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": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "4850af6b54391fc33c8028a0b7fafe05855a96ff", "title": "Discovering useful parts for pose estimation in sparsely annotated datasets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.00707.pdf"], "doi": []}, {"id": "f345a05353f5784b64eefb7785661cc0be519521", "title": "LBF Based 3D Regression for Facial Animation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7938207"]}, {"id": "2b2924af7ec219bd1fadcbd2c57014ed54efec86", "title": "Channeling Mr. Potato head - Face super-resolution using semantic components", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6806053"]}, {"id": "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "title": "Facial Keypoints Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.05279.pdf"], "doi": []}, {"id": "f402e088dddfaad7667bd4def26092d05f247206", "title": "Passenger Compartment Violation Detection in HOV/HOT Lanes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7283621", "http://doi.org/10.1109/TITS.2015.2475721"]}, {"id": "142dcfc3c62b1f30a13f1f49c608be3e62033042", "title": "Adaptive region pooling for object detection", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_object_detection.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_080.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_080_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_080_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tsai_Adaptive_Region_Pooling_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298673", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298673", "http://doi.org/10.1109/CVPR.2015.7298673"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "61971f8e6fff5b35faed610d02ad14ccfc186c70", "title": "Identity-Adaptive Facial Expression Recognition through Expression Regeneration Using Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373843", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00050", "http://doi.org/10.1109/FG.2018.00050"]}, {"id": "9776a9f3c59907f45baaeda4b8907dcdac98aef1", "title": "The video face recognition method and system based on the fusion of multiple features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301924", "http://doi.org/10.1109/CISP-BMEI.2017.8301924"]}, {"id": "3066a4e95985f77cf5cd54d53a7f3526a4ff124c", "title": "A Face-to-Face Neural Conversation Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578841"]}, {"id": "b0358af78b7c5ee7adc883ef513bbcc84a18a02b", "title": "Universal Skin Detection Without Color Information", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926593.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926593", "http://doi.org/10.1109/WACV.2017.10"]}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "60c97065418fbd30e55d79b764c7c3961106ac3d", "title": "Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06664.pdf"], "doi": []}, {"id": "edc5a0a8b9fc6ae0e8d8091a2391767f645095d9", "title": "Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera", "year": "2015", "pdf": ["http://www.es.mdh.se/pdf_publications/3948.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313516", "http://doi.org/10.1109/ITSC.2015.424"]}, {"id": "c175f1666f3444e407660c5935a05b2a53f346f0", "title": "Modifying the Memorability of Face", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c175/f1666f3444e407660c5935a05b2a53f346f0.pdf"], "doi": []}, {"id": "3dfbd17bd9caf7bd1d908ff469dec2b61e8a9548", "title": "Usability of Pilot's Gaze in Aeronautic Cockpit for Safer Aircraft", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313344", "http://doi.org/10.1109/ITSC.2015.252"]}, {"id": "58823377757e7dc92f3b70a973be697651089756", "title": "Automatic facial expression analysis", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-861.pdf", "http://www.cl.cam.ac.uk/~tb346/pub/thesis/phd_thesis.pdf"], "doi": ["http://doi.org/10.17863/CAM.16382", "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600539"]}, {"id": "3626401bfe9898de61716651582f208e260b9c38", "title": "Adaptive skin detection using face location and facial structure estimation", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1049/iet-cvi.2016.0295"]}, {"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": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "b3cb117f2424209d5997d5745772dfadd02dc80d", "title": "Semantic Summarization of Egocentric Photo Stream Events", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00438.pdf"], "doi": []}, {"id": "24bf94f8090daf9bda56d54e42009067839b20df", "title": "Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition", "year": "2015", "pdf": ["https://www.computer.org/csdl/trans/tp/2015/06/06940284.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6940284", "http://doi.org/10.1109/TPAMI.2014.2366127", "https://www.ncbi.nlm.nih.gov/pubmed/26357337", "https://www.wikidata.org/entity/Q38584262"]}, {"id": "5e62b2ab6fd3886e673fd5cbee160a5bee414507", "title": "Facial Emotion Recognition Based on Facial Motion Stream Generated by Kinect", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7400554", "http://doi.ieeecomputersociety.org/10.1109/SITIS.2015.31", "http://doi.org/10.1109/SITIS.2015.31"]}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.pdf"], "doi": []}, {"id": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406479", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.130", "http://doi.org/10.1109/ICCVW.2015.130"]}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "91ead35d1d2ff2ea7cf35d15b14996471404f68d", "title": "Combining and Steganography of 3D Face Textures", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01325.pdf"], "doi": []}, {"id": "fc970d7694b1d2438dd101a146d2e4f29087963e", "title": "Fusing Multilabel Deep Networks for Facial Action Unit Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961807", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.86", "http://doi.org/10.1109/FG.2017.86"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "title": "Joint Estimation of Pose and Face Landmark", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8ba/5cddae817c30de79a804eaf16024610c1e4f.pdf"], "doi": []}, {"id": "440b94b1624ca516b07e72ea8b3488072adc5e26", "title": "Comparison of Early and Late Information Fusion for Multi-camera HOV Lane Enforcement", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313245", "http://doi.org/10.1109/ITSC.2015.153"]}, {"id": "13afc4f8d08f766479577db2083f9632544c7ea6", "title": "Multiple kernel learning for emotion recognition in the wild", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531741"]}, {"id": "1be18a701d5af2d8088db3e6aaa5b9b1d54b6fd3", "title": "ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF DECISION TREES", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1be1/8a701d5af2d8088db3e6aaa5b9b1d54b6fd3.pdf"], "doi": []}, {"id": "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "title": "Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Afshar_Facial_Expression_Recognition_CVPR_2016_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/afshar06cvprw.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789679", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.189", "http://doi.org/10.1109/CVPRW.2016.189"]}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274747", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2481396", "http://doi.org/10.1109/TPAMI.2015.2481396", "https://www.ncbi.nlm.nih.gov/pubmed/26415152"]}, {"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": "1a849b694f2d68c3536ed849ed78c82e979d64d5", "title": "This is a repository copy of Symmetric Shape Morphing for 3 D Face and Head Modelling", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/318c/a222a7a4dfc63807c6b6c4285cc63c8610ba.pdf"], "doi": []}, {"id": "a8a30a8c50d9c4bb8e6d2dd84bc5b8b7f2c84dd8", "title": "This is a repository copy of Modelling of Orthogonal Craniofacial Profiles", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3bf2/79c782cee5b43a766d248810d602b24033c9.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": "230c4a30f439700355b268e5f57d15851bcbf41f", "title": "EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01509.pdf"], "doi": []}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "6cfc337069868568148f65732c52cbcef963f79d", "title": "Audio-Visual Speaker Localization via Weighted Clustering Israel -", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/80d7/8415aee24e65ea3031c31adc1dabc1956f8a.pdf"], "doi": []}, {"id": "de398bd8b7b57a3362c0c677ba8bf9f1d8ade583", "title": "Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition", "year": "2017", "pdf": ["http://www.cs.wayne.edu/~mdong/TMM16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744538", "http://doi.org/10.1109/TMM.2016.2629282"]}, {"id": "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "title": "A review of recent advances in visual speech decoding", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.06.004"]}, {"id": "795ea140df2c3d29753f40ccc4952ef24f46576c", "title": "C V ] 2 8 O ct 2 01 7 MultiTask Learning by Deep Collaboration and Application in Facial Landmark Detection", "year": "2017", "pdf": [], "doi": []}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "cd2bf0e1d19babe51eaa94cbc24b223e9c048ad6", "title": "\u2018Who Likes What and, Why?\u2019 Insights into Modeling Users\u2019 Personality Based on Image \u2018Likes\u2019", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7491295", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2581168", "http://doi.org/10.1109/TAFFC.2016.2581168"]}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "383e64d9ef1fca9de677ac82486b4df42e96e861", "title": "Social Network Construction of the Role Relation in Unstructured Data Based on Multi-view", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8005505", "http://doi.ieeecomputersociety.org/10.1109/DSC.2017.78", "http://doi.org/10.1109/DSC.2017.78"]}, {"id": "de162d4b8450bf2b80f672478f987f304b7e6ae4", "title": "Weakly Supervised Manifold Learning for Dense Semantic Object Correspondence", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Gaur_Weakly_Supervised_Manifold_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237454", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.192", "http://doi.org/10.1109/ICCV.2017.192"]}, {"id": "d42dbc995318e2936714c65c028700bfd3633049", "title": "Face fiducial detection by consensus of exemplars", "year": "2016", "pdf": ["https://bitbucket.org/mallikarjun26/wacv_2016_face_fiducial/raw/9ed5a356db1fceda6c542bd7d8fd94f0c4f7d120/211.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477592", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477592", "http://doi.org/10.1109/WACV.2016.7477592"]}, {"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": "40b0fced8bc45f548ca7f79922e62478d2043220", "title": "Do Convnets Learn Correspondence?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.1091.pdf"], "doi": []}, {"id": "7e1d2befac6946112cd80652d0c2b962e3c0d342", "title": "FA-RPN: Floating Region Proposals for Face Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05586.pdf"], "doi": []}, {"id": "239df42479c69cf95e7194cc0ec3d8cf7d4a98e8", "title": "Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/239d/f42479c69cf95e7194cc0ec3d8cf7d4a98e8.pdf"], "doi": []}, {"id": "a5ae44070857aa00e54ea80394a04fda412b335c", "title": "Scene Text Recognition using part-based TSM and Soft Output Viterbi Algorithm", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193134"]}, {"id": "e585dc6c810264d9f07e38c412379734a920714e", "title": "Facing reality: an industrial view on large scale use of facial expression analysis", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531926"]}, {"id": "350108a9dbb746dc6f127d98342c07d8019e3f46", "title": "Multi-view facial landmark detection by using a 3D shape model", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.003"]}, {"id": "f6511d8156058737ec5354c66ef6fdcf035d714d", "title": "Response Surface Learning for Face Misalignment Correction", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7016133"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "title": "Recognition of Faces from single and Multi-View Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2213/7ce9c01a8fdebf92ef35407a5a5d18730dde.pdf"], "doi": []}, {"id": "50a0930cb8cc353e15a5cb4d2f41b365675b5ebf", "title": "Robust Facial Landmark Detection and Face Tracking in Thermal Infrared Images using Active Appearance Models", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/50a0/930cb8cc353e15a5cb4d2f41b365675b5ebf.pdf"], "doi": []}, {"id": "104863192ffb35e285f7546d1ac842e001ac9084", "title": "Cloud-based scalable object detection and classification in video streams", "year": "2018", "pdf": ["http://orca-mwe.cf.ac.uk/98251/1/elsarticle-template-harv.pdf"], "doi": ["http://doi.org/10.1016/j.future.2017.02.003"]}, {"id": "7c1e1c767f7911a390d49bed4f73952df8445936", "title": "Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA)", "year": "2013", "pdf": ["http://cmp.felk.cvut.cz/~hurycd1/data/publications/zimmermann-TPAMI2014.pdf", "http://cmp.felk.cvut.cz/~zimmerk/zimmermann-TPAMI-2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778003", "http://doi.org/10.1109/TPAMI.2013.171", "https://www.ncbi.nlm.nih.gov/pubmed/24018637", "https://www.wikidata.org/entity/Q40558576"]}, {"id": "7f703613149b190ea3bb0e3c803844895419846b", "title": "Locating Facial Landmarks towards Plastic Surgery", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7314567", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2015.40", "http://doi.org/10.1109/SIBGRAPI.2015.40"]}, {"id": "d8904955fa93ad434f5156235ac94452eec57f64", "title": "Facial expression recognition in the wild based on multimodal texture features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48ec/4b2c3b6c6549fa7a988f8db135a41691f605.pdf"], "doi": []}, {"id": "b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57", "title": "Modeling Social and Temporal Context for Video Analysis", "year": "2015", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/zqin-phd.pdf"], "doi": ["https://www.base-search.net/Record/3b04a8f520744937ae3394bccbac1d98399bc9af219cd06cb618e7be7340943d"]}, {"id": "c61686b6fead7cd04f71ca29caba25b387498965", "title": "Computer Science and Management Studies Research Article / Paper / Case Study Available online at: www.ijarcsms.com A Survey on Face Recognition Eigen face and PCA method", "year": "2014", "pdf": [], "doi": []}, {"id": "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "title": "Supervised Transformer Network for Efficient Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05477.pdf"], "doi": []}, {"id": "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "title": "An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371751", "http://doi.org/10.1109/KSE.2015.50"]}, {"id": "3dd4d719b2185f7c7f92cc97f3b5a65990fcd5dd", "title": "Ensemble of Hankel Matrices for Face Emotion Recognition", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03811.pdf"], "doi": []}, {"id": "b0c512fcfb7bd6c500429cbda963e28850f2e948", "title": "A Fast and Accurate Unconstrained Face Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1408.1656.pdf"], "doi": []}, {"id": "4e7f0dfc390f88623c825fe702da45b994342011", "title": "Photorealistic Face De-Identification by Aggregating Donors' Face Components", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9da1/91858f65fd99c9b204a6f68916711d4bd51b.pdf"], "doi": []}, {"id": "fb0774049f2f34be194592822c74e2f2e603dea8", "title": "Landmark localization approach for facial computing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7920664"]}, {"id": "9285f4a6a06e975bde3ae3267fccd971d4fff98a", "title": "Attentional Push: A Deep Convolutional Network for Augmenting Image Salience with Shared Attention Modeling in Social Scenes", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Gorji_Attentional_Push_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099853", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.370", "http://doi.org/10.1109/CVPR.2017.370"]}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2030875"]}, {"id": "744c22e95eaceabb031589ba808bf2e9f24b04c7", "title": "From Sequence to Attention ; Search for a Compositional Bias in Sequence-to-Sequence Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f4cf/ad394b9d9441ed6f93be30e14f197df0e198.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "8d712cef3a5a8a7b1619fb841a191bebc2a17f15", "title": "Non-Verbal Communication Analysis in Victim-Offender Mediations", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2122.pdf"], "doi": []}, {"id": "dfb8a04a80d4b0794c0679d797cb90ec101e162c", "title": "Maximizing face recognition performance for video data under time constraints by using a cascade", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918665", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918665", "http://doi.org/10.1109/AVSS.2014.6918665"]}, {"id": "7a81967598c2c0b3b3771c1af943efb1defd4482", "title": "Do We Need More Training Data?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01508.pdf"], "doi": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"], "doi": []}, {"id": "aa331fe378056b6d6031bb8fe6676e035ed60d6d", "title": "Object detection using boosted local binaries", "year": "2016", "pdf": ["http://www.cs.sfu.ca/~li/papers-on-line/Haoyu-PR-2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.010"]}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "title": "Selfie Detection by Synergy-Constraint Based Convolutional Neural Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04357.pdf"], "doi": []}, {"id": "5445e5fe5e42698413cfaf90f8c52009f19539ff", "title": "A 3D Morphable Model of Craniofacial Shape and Texture Variation", "year": "2017", "pdf": ["http://eprints.whiterose.ac.uk/135062/1/ICCV2017LYHM.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Dai_A_3D_Morphable_ICCV_2017_paper.pdf", "http://www-users.cs.york.ac.uk/~nep/research/papers/Dai-ICCV2017-3DMMhead.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237597", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.335", "http://doi.org/10.1109/ICCV.2017.335"]}, {"id": "2ff9618ea521df3c916abc88e7c85220d9f0ff06", "title": "Facial Tic Detection Using Computer Vision", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bb08/f64565ee68e868dcab904cada9646dd5f676.pdf"], "doi": []}, {"id": "b1a3b19700b8738b4510eecf78a35ff38406df22", "title": "Automatic Analysis of Facial Actions : A Survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b1a3/b19700b8738b4510eecf78a35ff38406df22.pdf"], "doi": []}, {"id": "22ccd537857aca1ee4b961f081f07c58d42a7f32", "title": "Face Recognition Despite Wearing Glasses", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371260", "http://doi.org/10.1109/DICTA.2015.7371260"]}, {"id": "90b11e095c807a23f517d94523a4da6ae6b12c76", "title": "Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.08475.pdf"], "doi": []}, {"id": "87bb183d8be0c2b4cfceb9ee158fee4bbf3e19fd", "title": "Craniofacial Image Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/87bb/183d8be0c2b4cfceb9ee158fee4bbf3e19fd.pdf"], "doi": []}, {"id": "1dc6c0ad19b41e5190fc9fe50e3ae27f49f18fa2", "title": "Head Pose Estimation in First-Person Camera Views", "year": "2014", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/ICPR_2014_head_pose.pdf", "http://www.researchgate.net/profile/Stefano_Alletto/publication/265611795_Head_Pose_Estimation_in_First-Person_Camera_Views/links/5416b5ef0cf2788c4b35e14b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977430", "http://doi.org/10.1109/ICPR.2014.718"]}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "e81b7576356c8b579e3dfa32d1edf7bfdf9c27ea", "title": "Head Pose Estimation with Improved Random Regression Forests", "year": "2013", "pdf": ["http://downloads.hindawi.com/journals/mpe/2015/703514.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-02961-0_57"]}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "4c1ce6bced30f5114f135cacf1a37b69bb709ea1", "title": "Gaze direction estimation by component separation for recognition of Eye Accessing Cues", "year": "2014", "pdf": ["http://imag.pub.ro/common/staff/cflorea/papers/nlp_eye_MVA_site.pdf"], "doi": ["http://doi.org/10.1007/s00138-014-0656-8"]}, {"id": "fd126e36337999640a0b623611b5fec8de390d46", "title": "Human Identification Using Automatic and Semi-Automatically Detected Facial Marks.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27405018", "http://doi.org/10.1111/1556-4029.12923"]}, {"id": "12055b8f82d5411f9ad196b60698d76fbd07ac1e", "title": "Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns", "year": "2014", "pdf": ["https://zhzhanp.github.io/papers/TCSVT2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6748892", "http://doi.org/10.1109/TCSVT.2014.2308639"]}, {"id": "9abab00de61dd722b3ad1b8fa9bffd0001763f8b", "title": "Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080924", "http://doi.org/10.1109/TPAMI.2015.2420563", "https://www.ncbi.nlm.nih.gov/pubmed/26670586", "https://www.wikidata.org/entity/Q38398435"]}, {"id": "5dff253fab3740871784a8afc9613d7189a70ec9", "title": "Video Magnification to Detect Heart Rate for Drivers", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5dff/253fab3740871784a8afc9613d7189a70ec9.pdf"], "doi": []}, {"id": "642417f2bb1ff98989e0a0aa855253fed1fffe04", "title": "Auto zoom crop from face detection and facial features", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2004255"]}, {"id": "b171f9e4245b52ff96790cf4f8d23e822c260780", "title": "Robotics Institute Summer Scholars Working Papers Journal Volume 2 Fall 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c86/efd96c9ea295fa6c0311b59a8dba76237f32.pdf"], "doi": []}, {"id": "ba017a8d16e47e57a1f3eb5a94c1ba24e6952274", "title": "An Optokinetic Nystagmus Detection Method for Use With Young Children", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7055238", "http://doi.org/10.1109/JTEHM.2015.2410286", "https://www.ncbi.nlm.nih.gov/pubmed/27170889"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee", "title": "Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05612.pdf"], "doi": []}, {"id": "6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd", "title": "Multi-Scale Fully Convolutional Network for Fast Face Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f7d/06ced04ead3b9a5da86b37e7c27bfcedbbdd.pdf"], "doi": []}, {"id": "33688a865aa0d0fd19cb488bb5258b1203fd42d3", "title": "Human Face Pose Estimation based on Feature Extraction Points", "year": "2016", "pdf": ["http://www.ijcaonline.org/archives/volume142/number9/bhullar-2016-ijca-909922.pdf", "https://www.ijcaonline.org/archives/volume142/number9/24928-24928-2016909922?format=pdf"], "doi": ["https://doi.org/10.5120/ijca2016909922"]}, {"id": "b8a829b30381106b806066d40dd372045d49178d", "title": "A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation", "year": "2015", "pdf": ["http://gavrila.net/tits15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7010032", "http://doi.org/10.1109/TITS.2014.2379441"]}, {"id": "f531ce18befc03489f647560ad3e5639566b39dc", "title": "Boosting Speed and Accuracy in Deformable Part Models for Face Image in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422386", "http://doi.ieeecomputersociety.org/10.1109/ACOMP.2015.9", "http://doi.org/10.1109/ACOMP.2015.9"]}, {"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": "d904f945c1506e7b51b19c99c632ef13f340ef4c", "title": "0 \u00b0 15 \u00b0 30 \u00b0 45 \u00b0 60 \u00b0 75 \u00b0 90 \u00b0", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d904/f945c1506e7b51b19c99c632ef13f340ef4c.pdf"], "doi": []}, {"id": "652ec3947d3d04dda719b1f5ba7c975e567166ef", "title": "Machine Vision and Applications Model-free Non-rigid Head Pose Tracking by Joint Shape and Pose Estimation", "year": "", "pdf": [], "doi": []}, {"id": "653b957d4c70d6cbf8de443df497e47edcab77b4", "title": "OuluVS2: A multi-view audiovisual database for non-rigid mouth motion analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163155", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163155", "http://doi.org/10.1109/FG.2015.7163155"]}, {"id": "bb070c019c0885232f114c7dca970d2afd9cd828", "title": "A Novel Landmark Detector System for Multi Resolution Frontal Faces", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008089", "http://doi.org/10.1109/DICTA.2014.7008089"]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "8aed6ec62cfccb4dba0c19ee000e6334ec585d70", "title": "Localizing and Visualizing Relative Attributes", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8aed/6ec62cfccb4dba0c19ee000e6334ec585d70.pdf"], "doi": []}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"id": "912a6a97af390d009773452814a401e258b77640", "title": "An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01520.pdf"], "doi": []}, {"id": "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "title": "Implementation of Partial Face Recognition using Directional Binary Code", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a6c/3c37c2e62b21ebc0f3533686dde4d0103b3f.pdf"], "doi": []}, {"id": "020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb", "title": "An Efficient and Flexible FPGA Implementation of a Face Detection System", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/020d/97ca2bf617b7ffed5a31aa8a27ffa5efadbb.pdf"], "doi": []}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "3a591a9b5c6d4c62963d7374d58c1ae79e3a4039", "title": "Driver Cell Phone Usage Detection from HOV/HOT NIR Images", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Artan_Driver_Cell_Phone_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.42", "http://doi.org/10.1109/CVPRW.2014.42"]}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"id": "fa59e9f47e2a467afc81fe1ed737563a3eabf223", "title": "Face recognition across pose for PTZ camera video surveillance applications", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593006"]}, {"id": "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "title": "Extending Procrustes Analysis: Building Multi-view 2-D Models from 3-D Human Shape Samples", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/17a8/5799c59c13f07d4b4d7cf9d7c7986475d01c.pdf"], "doi": []}, {"id": "8a46f8edd522fb5fc7002b2b356ac9ae3d551f10", "title": "Network and System Security", "year": "2018", "pdf": ["https://www.cs.odu.edu/~malmalag/CS472Spring2013/CS472-S13-lec01.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-02744-5"]}, {"id": "8cb6daba2cb1e208e809633133adfee0183b8dd2", "title": "Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8cb6/daba2cb1e208e809633133adfee0183b8dd2.pdf"], "doi": []}, {"id": "b73e1f50f2d6f2438c545da6703621cdcc5b3199", "title": "Hyperspectral Data Acquisition and Its Application for Face Recognition", "year": "2015", "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": "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": "213a579af9e4f57f071b884aa872651372b661fd", "title": "Automatic and Efficient Human Pose Estimation for Sign Language Videos", "year": "2013", "pdf": ["http://tomas.pfister.fi/files/charles13ijcv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2013/Charles13a/charles13a.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0672-6"]}, {"id": "1dca6a54d201dd56b41a5475aaf498a207083b0e", "title": "Ego-surfing first person videos", "year": "2015", "pdf": ["https://arxiv.org/pdf/1606.04637.pdf"], "doi": []}, {"id": "365f67fe670bf55dc9ccdcd6888115264b2a2c56", "title": "Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.08212.pdf"], "doi": []}, {"id": "05f3744c2d272910fad0adc3a5fd9e919e005150", "title": "Head pose recovery and shape estimation in still images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bac7/5e1997d248dbd1b12e8b37bb663232687d4a.pdf"], "doi": []}, {"id": "f1173a4c5e3501323b37c1ae9a6d7dd8a236eab8", "title": "Convolutional Channel Features For Pedestrian, Face and Edge Detection", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07339"]}, {"id": "f5770dd225501ff3764f9023f19a76fad28127d4", "title": "Real Time Online Facial Expression Transfer with Single Video Camera", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f577/0dd225501ff3764f9023f19a76fad28127d4.pdf"], "doi": []}, {"id": "e9d43231a403b4409633594fa6ccc518f035a135", "title": "Deformable Part Models with CNN Features", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e9d4/3231a403b4409633594fa6ccc518f035a135.pdf"], "doi": []}, {"id": "ce5e50467e43e3178cbd86cfc3348e3f577c4489", "title": "Extending a local matching face recognition approach to low-resolution video", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636683", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636683", "http://doi.org/10.1109/AVSS.2013.6636683"]}, {"id": "2ae139b247057c02cda352f6661f46f7feb38e45", "title": "Combining modality specific deep neural networks for emotion recognition in video", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531745"]}, {"id": "31d51e48dbd9e7253eafe0719f3788adb564a971", "title": "Visual Phrases for Exemplar Face Detection", "year": "2015", "pdf": ["http://cvit.iiit.ac.in/projects/exemplar/vijayICCV15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410588", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.231", "http://doi.org/10.1109/ICCV.2015.231"]}, {"id": "01bef320b83ac4405b3fc5b1cff788c124109fb9", "title": "Translating Head Motion into Attention - Towards Processing of Student's Body-Language.", "year": "2015", "pdf": ["http://www.educationaldatamining.org/EDM2015/proceedings/full320-326.pdf", "https://infoscience.epfl.ch/record/207803/files/edm_raca15.pdf"], "doi": []}, {"id": "8be60114634caa0eff8566f3252cb9a1b7d5ef10", "title": "Multiple target tracking with structural inference", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890133", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890133", "http://doi.org/10.1109/ICME.2014.6890133"]}, {"id": "0629bc2b12245195af989e21573369329b7ef2b7", "title": "BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451244", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2553038", "http://doi.org/10.1109/TAFFC.2016.2553038"]}, {"id": "83b7578e2d9fa60d33d9336be334f6f2cc4f218f", "title": "The S-HOCK dataset: Analyzing crowds at the stadium", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Conigliaro_The_S-Hock_Dataset_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298815", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298815", "http://doi.org/10.1109/CVPR.2015.7298815"]}, {"id": "290eeaed75693eda17ac6703f0a8364f14c24701", "title": "Learning to Deblur Images with Exemplars", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05503.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/celeba.json b/site/datasets/unknown/celeba.json
index 95ae3b82..0e9a55f7 100644
--- a/site/datasets/unknown/celeba.json
+++ b/site/datasets/unknown/celeba.json
@@ -1 +1 @@
-{"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "citations": [{"id": "b1c80444ecf42c303dbf65e47bea999af7a172bf", "title": "Exploring generative perspective of convolutional neural networks by learning random field models \u2217", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bea1/3cc5e7b39a05f858f69318b16c398863d610.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "c8dcb7b3c5ed43e61b90b50fedc76568d8e30675", "title": "GUARDING AGAINST ADVERSARIAL DOMAIN SHIFTS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c8dc/b7b3c5ed43e61b90b50fedc76568d8e30675.pdf"], "doi": []}, {"id": "90c8899132396fa1b4c1efd534739cadd5bdca3b", "title": "FR-ANet: A Face Recognition Guided Facial Attribute Classification Network", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16810", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16810/16466"]}, {"id": "9a10845115794117485fc84f9b9e6ada2a7d2b00", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03999.pdf"], "doi": []}, {"id": "57235f22abcd6bb928007287b17e235dbef83347", "title": "Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11145.pdf"], "doi": []}, {"id": "c5b311152a4e611288a77fbb1460eb0fbb049de3", "title": "An Efficient Training Strategy for Face Detector in Specific Scenes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976440", "http://doi.org/10.1109/ITME.2016.0026"]}, {"id": "00426c770eb74b11bdc63e24c8ae7f1c84c8ea8a", "title": "Fast cosmic web simulations with generative adversarial networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/239a/5a9cbe379e65ec72947c086af97d91e8e926.pdf"], "doi": []}, {"id": "3355aff37b5e4ba40fc689119fb48d403be288be", "title": "Deep Private-Feature Extraction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03151.pdf"], "doi": []}, {"id": "b63041d05b78a66724fbcb2803508999bf885d6b", "title": "Deep Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06114.pdf"], "doi": []}, {"id": "e184ee1c1ad3ea77dee5d8f9329eb2efabd2120a", "title": "Deep Archetypal Analysis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10799.pdf"], "doi": []}, {"id": "5b3e9cd460746c51607ba2bf8cac439f37d0c5c3", "title": "Learning Generative ConvNets via Multi-grid Modeling and Sampling", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579052"]}, {"id": "231af7dc01a166cac3b5b01ca05778238f796e41", "title": "GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08500.pdf"], "doi": []}, {"id": "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "title": "ROC-GAN: ROBUST CONDITIONAL GAN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4f5/8d7fc87a9c276965e604fbe83592bae7f4e5.pdf"], "doi": []}, {"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": "9ce4541d21ee3511bf3dc55bc3cd01222194d95a", "title": "Face inpainting based on high-level facial attributes", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.05.008"]}, {"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": "8134b052a9aedd573dd16649a611f68b48e30cb2", "title": "InverseFaceNet: Deep Monocular Inverse Face Rendering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.10956.pdf"], "doi": []}, {"id": "c4f3375dab1886f37f542d998e61d8c30a927682", "title": "BEYOND SHARED HIERARCHIES: DEEP MULTITASK LEARNING THROUGH SOFT LAYER ORDERING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c4f3/375dab1886f37f542d998e61d8c30a927682.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": "330b3db69f70f01afd674a2b7bce4bb5000bf164", "title": "Learning the Base Distribution in Implicit Generative Models", "year": "2018", "pdf": [], "doi": []}, {"id": "e909b9e0bbfc37d0b99acad5014e977daac7e2bd", "title": "Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10323.pdf"], "doi": []}, {"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": "731d33256d42dc4146019954c46c566aa666d7f2", "title": "Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578549", "http://doi.org/10.1109/CVPR.2018.00451"]}, {"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": "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": "8bff7353fa4f75629ea418ca8db60477a751db93", "title": "Invariance of Weight Distributions in Rectified MLPs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09090.pdf"], "doi": []}, {"id": "d979dbc55f73304a5d839079c070062e0b3ddbc5", "title": "Deep Learning Markov Random Field for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.07230.pdf"], "doi": []}, {"id": "a90226c41b79f8b06007609f39f82757073641e2", "title": "\u0392-vae: Learning Basic Visual Concepts with a Constrained Variational Framework", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a902/26c41b79f8b06007609f39f82757073641e2.pdf"], "doi": []}, {"id": "385750bcf95036c808d63db0e0b14768463ff4c6", "title": "Autoencoding beyond pixels using a learned similarity metric", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.09300.pdf"], "doi": []}, {"id": "c9b90cf9cdd901bd3072d6dfd8ddc523c55944b1", "title": "Adversarial Generator-Encoder Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c9b9/0cf9cdd901bd3072d6dfd8ddc523c55944b1.pdf"], "doi": []}, {"id": "39d08fa8b028217384daeb3e622848451809a422", "title": "Variational Approaches for Auto-Encoding Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04987.pdf"], "doi": []}, {"id": "0b783e750da34c61ea404be8bc40788fd66c867d", "title": "Generative Autotransporters", "year": "2017", "pdf": [], "doi": []}, {"id": "47617c126442fb041f8aab30a8c0c5d2a56d357b", "title": "Phase Retrieval Under a Generative Prior", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04261.pdf"], "doi": []}, {"id": "b04d4b1e8b510180726f49a66dbaaf23c9ef64a0", "title": "Introspective Generative Modeling: Decide Discriminatively.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07820.pdf"], "doi": []}, {"id": "08809165154c9c557d368cddfa3ae66ccaceaed9", "title": "Taming VAEs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00597.pdf"], "doi": []}, {"id": "372bc106c61e7eb004835e85bbfee997409f176a", "title": "Coupled Generative Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07536.pdf"], "doi": []}, {"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": "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": "40638a7a9e0a0499af46053c6efc05ce0b088a28", "title": "On the convergence properties of GAN training", "year": "2018", "pdf": [], "doi": []}, {"id": "cd5ef3aeebc231e2c833ef55cf0571aa990c5ff8", "title": "IMAGE QUALITY ASSESSMENT TECHNIQUES IMPROVE TRAINING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cd5e/f3aeebc231e2c833ef55cf0571aa990c5ff8.pdf"], "doi": []}, {"id": "346578304ff943b97b3efb1171ecd902cb4f6081", "title": "Generative Multi-Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01673.pdf"], "doi": []}, {"id": "a562180056cc4906d6d5ef9d2b4ed098d8512317", "title": "Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11346.pdf"], "doi": []}, {"id": "6211ba456908d605e85d102d63b106f1acb52186", "title": "Visual Interpretability forDeepLearning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6211/ba456908d605e85d102d63b106f1acb52186.pdf"], "doi": []}, {"id": "fed9e971e042b40cc659aca6e338d79dc1d4b59c", "title": "GROUPING-BY-ID: GUARDING AGAINST ADVERSAR-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fed9/e971e042b40cc659aca6e338d79dc1d4b59c.pdf"], "doi": []}, {"id": "1a8a2539cffba25ed9a7f2b869ebb737276ccee1", "title": "Pros and Cons of GAN Evaluation Measures", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03446.pdf"], "doi": []}, {"id": "2c94682176f320f406f78c484f9135f085d1c0f0", "title": "Geometric Enclosing Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "2bee6a78bbc3222a76cf1da0217567277aa3ed5f", "title": "Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10813.pdf"], "doi": []}, {"id": "7fa62c091a14830ae256dc00b512f7d4b4cf5b94", "title": "Stabilizing GAN Training with Multiple Random Projections", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7fa6/2c091a14830ae256dc00b512f7d4b4cf5b94.pdf"], "doi": []}, {"id": "df87a13f5c175217b9414bb1958c0fe1a28028c1", "title": "Learning Disentangled Joint Continuous and Discrete Representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00104.pdf"], "doi": []}, {"id": "b5097e8098d1ab1cc76b5d1baf693d61fcfee46a", "title": "A General and Adaptive Robust Loss Function.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b509/7e8098d1ab1cc76b5d1baf693d61fcfee46a.pdf"], "doi": []}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "06be17bcc4136476855fc594759dddc6f8b6150f", "title": "MMGAN: Manifold Matching Generative Adversarial Network for Generating Images", "year": "2017", "pdf": [], "doi": []}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "f0483ebab9da2ba4ae6549b681cf31aef2bb6562", "title": "3 C-GAN : A N CONDITION-CONTEXT-COMPOSITE GENERATIVE ADVERSARIAL NETWORKS FOR GENERATING IMAGES SEPARATELY", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f048/3ebab9da2ba4ae6549b681cf31aef2bb6562.pdf"], "doi": []}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "2727927c7493cef9785b3a06a38f5c1ce126fc23", "title": "Semi-supervised FusedGAN for Conditional Image Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05551.pdf"], "doi": []}, {"id": "3e832919bf4156dd2c7c191acbbc714535f1d8c2", "title": "LOMIT: LOCAL MASK-BASED IMAGE-TO-IMAGE TRANSLATION VIA PIXEL-WISE HIGHWAY ADAPTIVE INSTANCE NORMALIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3e83/2919bf4156dd2c7c191acbbc714535f1d8c2.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": "b5a369ebcb2e9a8169b71791d77e7a3ad992870f", "title": "Synthesizing Programs for Images using Reinforced Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01118.pdf"], "doi": []}, {"id": "09137e3c267a3414314d1e7e4b0e3a4cae801f45", "title": "Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06078.pdf"], "doi": []}, {"id": "c5102d940cd249df5ffa084a1b8e1bc5a75cd769", "title": "Disentangled Representation Learning for Stylistic Variation in Neural Language Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c510/2d940cd249df5ffa084a1b8e1bc5a75cd769.pdf"], "doi": []}, {"id": "d7fe2a52d0ad915b78330340a8111e0b5a66513a", "title": "Photo-to-Caricature Translation on Faces in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10735.pdf"], "doi": []}, {"id": "ec3eb92b9a56b1fa84b127b8acc980555cd1f2e0", "title": "Channel-Recurrent Variational Autoencoders", "year": "2017", "pdf": [], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "1450296fb936d666f2f11454cc8f0108e2306741", "title": "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05192.pdf"], "doi": []}, {"id": "35800a537017803dd08274710388734db66b54f0", "title": "Sliced Wasserstein Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02631.pdf"], "doi": []}, {"id": "e1740c8a562901ac1b94c78b33c4416500cedebc", "title": "JOINT-VAE: LEARNING DISENTANGLED JOINT CON-", "year": "2018", "pdf": [], "doi": []}, {"id": "f792f75f6d2bf265569d4e63dd139c4d04ec7fdb", "title": "Introspective Neural Networks for Generative Modeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Lazarow_Introspective_Neural_Networks_ICCV_2017_paper.pdf", "http://pages.ucsd.edu/~ztu/publication/iccv17_inng.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237564", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.302", "http://doi.org/10.1109/ICCV.2017.302"]}, {"id": "72a6044a0108e0f8f1e68cd70ada46c81a416324", "title": "Improved Training of Generative Adversarial Networks Using Representative Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09195.pdf"], "doi": []}, {"id": "db0d33590dc15de2d30cf0407b7a26ae79cd51b5", "title": "Deep Probabilistic Modeling of Natural Images using a Pyramid Decomposition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/db0d/33590dc15de2d30cf0407b7a26ae79cd51b5.pdf"], "doi": []}, {"id": "34a4c733bc2b53253dbebe67f1af83b969c2e657", "title": "Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain", "year": "2017", "pdf": [], "doi": []}, {"id": "bb97664df153ac563e46ec2233346129cafe601b", "title": "A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05611.pdf"], "doi": []}, {"id": "2bff9e02dd5d5ccab39ffb024620655166b151b5", "title": "Universite\u0301 de Montre\u0301al Learning to sample from noise with deep generative models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2bff/9e02dd5d5ccab39ffb024620655166b151b5.pdf"], "doi": []}, {"id": "56f5005c4be6f816f6f43795cc4825d798cd53ef", "title": "GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium", "year": "2017", "pdf": [], "doi": []}, {"id": "551b75dd57829b584de5f51b63426efac81018db", "title": "Recision T Raining", "year": "2017", "pdf": [], "doi": []}, {"id": "c074d5a645e1554faf0383282c37af971c5441d8", "title": "Mixture Density Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00152.pdf"], "doi": []}, {"id": "dfcb4773543ee6fbc7d5319b646e0d6168ffa116", "title": "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.04722.pdf"], "doi": []}, {"id": "a47ac8569ab1970740cff9f1643f77e9143a62d4", "title": "Associative Compression Networks for Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02476.pdf"], "doi": []}, {"id": "e0515dc0157a89de48e1120662afdd7fe606b544", "title": "Perception Science in the Age of Deep Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e051/5dc0157a89de48e1120662afdd7fe606b544.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": "a91fd02ed2231ead51078e3e1f055d8be7828d02", "title": "The Robust Manifold Defense: Adversarial Training using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09196.pdf"], "doi": []}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.pdf"], "doi": []}, {"id": "6b2db002cbc5312e4796de4d4b14573df2c01648", "title": "Learning Hierarchical Features from Deep Generative Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6b2d/b002cbc5312e4796de4d4b14573df2c01648.pdf"], "doi": []}, {"id": "26690f2548c6dbf630de202b40dec417b20c9b6c", "title": "Variational Inference of Disentangled Latent Concepts from Unlabeled Observations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00848.pdf"], "doi": []}, {"id": "84c35fc21db3bcd407a4ffb009912b6ac5a47e3c", "title": "MGAN: TRAINING GENERATIVE ADVERSARIAL NETS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/84c3/5fc21db3bcd407a4ffb009912b6ac5a47e3c.pdf"], "doi": []}, {"id": "e9afb44fa1bf048e90d68f755945bc2b81642239", "title": "Data-Driven Geometric Face Image Smilization Featuring Moving Least Square Based Deformation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966747", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.86", "http://doi.org/10.1109/BigMM.2017.86"]}, {"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": "629093211c6ef089fe53680472c147af9af678d4", "title": "SmileNet: Registration-Free Smiling Face Detection In The Wild", "year": "2017", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36405/Jang%20SmileNet%20Registration-Free%202018%20Published.pdf?sequence=1", "https://www.cl.cam.ac.uk/~hg410/JangEtAl_ICCVW2017.pdf", "https://www.repository.cam.ac.uk/bitstream/handle/1810/267848/JangEtAl-ICCVW-2017-final.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265396", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.186", "http://doi.org/10.1109/ICCVW.2017.186"]}, {"id": "92e5708ed3b622ca1f0f6ac28ffd6e789c528cdf", "title": "Adversarial Inversion : Inverse Graphics with Adversarial Priors", "year": "2017", "pdf": [], "doi": []}, {"id": "f580b0e1020ad67bdbb11e8d99a59c21a8df1e7d", "title": "Compressed Sensing using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03208.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "7689d23a22682c92bdf9a1df975fa2cdd24f1b87", "title": "MMD with Kernel Learning In practice we use finite samples from distributions to estimate", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7689/d23a22682c92bdf9a1df975fa2cdd24f1b87.pdf"], "doi": []}, {"id": "2d2102d3fe127444e203a2ab11c2b3d5f56874cc", "title": "Wasserstein Auto-Encoders", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.01558.pdf"], "doi": []}, {"id": "318c4c25d86511690cc5df7b041a6392e8cc4ea8", "title": "Fashion-Gen: The Generative Fashion Dataset and Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08317.pdf"], "doi": []}, {"id": "db1a9b8d8ce9a5696a96f8db4206b6f72707730e", "title": "Cross-Modal Facial Attribute Recognition with Geometric Features", "year": "2017", "pdf": ["https://www.jventura.net/sites/default/files/bradley_hfr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961838", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.127", "http://doi.org/10.1109/FG.2017.127"]}, {"id": "8ea9093542075bd8cc4928a4c671a95f363c61ef", "title": "Sliced-Wasserstein Autoencoder : An Embarrassingly Simple Generative Model", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8ea9/093542075bd8cc4928a4c671a95f363c61ef.pdf"], "doi": []}, {"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": "b7bf1fead0b966de955b33b024fe84866be42695", "title": "C V ] 1 0 N ov 2 01 8 Multi-label Object Attribute Classification using a Convolutional Neural Network", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b7bf/1fead0b966de955b33b024fe84866be42695.pdf"], "doi": []}, {"id": "9a62a3b6894aeadf0043fc42b6419c062ccc66d0", "title": "Neural Joint Source-Channel Coding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07557.pdf"], "doi": []}, {"id": "729405648886d51d441351dc51ee47cfe53bcaf0", "title": "ChainGAN: A sequential approach to GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08081.pdf"], "doi": []}, {"id": "a8895ffa0b60d1456539f1c6bc995bc7c83a9613", "title": "Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/a889/5ffa0b60d1456539f1c6bc995bc7c83a9613.pdf"], "doi": []}, {"id": "4a45b8f8decc178305af06d758ac7428a9070fad", "title": "Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10151.pdf"], "doi": []}, {"id": "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "title": "Neural Face Editing with Intrinsic Image Disentangling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04131.pdf"], "doi": []}, {"id": "2a142bad9ad28ae70ad399b3962d51c16a2d1289", "title": "How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00617.pdf"], "doi": []}, {"id": "c9d7219d54eccb9e49b72044d805e103fe17ba80", "title": "Towards Information-Seeking Agents", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02605.pdf"], "doi": []}, {"id": "b8942497abfc1025b3961d3e62bd326b829b068d", "title": "Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578751"]}, {"id": "1d49ee6afb82b5fbacf69628f52e76dc33341643", "title": "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578362"]}, {"id": "2da1a80955df1612766ffdf63916a6a374780161", "title": "Generating steganographic images via adversarial training", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00371.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": "34558af5df236172cd99162057450b81f1ccba1d", "title": "Probabilistic Semantic Inpainting with Pixel Constrained CNNs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03728.pdf"], "doi": []}, {"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": "250449a9827e125d6354f019fc7bc6205c5fd549", "title": "Adversarial Reconstruction Loss", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2504/49a9827e125d6354f019fc7bc6205c5fd549.pdf"], "doi": []}, {"id": "b19f24ec92388513d1516d71292559417c776006", "title": "CAUSALGAN: LEARNING CAUSAL IMPLICIT GENER-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b19f/24ec92388513d1516d71292559417c776006.pdf"], "doi": []}, {"id": "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "title": "Compare and Contrast: Learning Prominent Visual Differences", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00112.pdf"], "doi": []}, {"id": "e37bde2765c0869982c48a7bbd139d0c63246fa6", "title": "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04120.pdf"], "doi": []}, {"id": "189eedfc81ee47b2b44caf8bfe816726697ba421", "title": "Facial Attributes Guided Deep Sketch-to-Photo Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347106", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00006", "http://doi.org/10.1109/WACVW.2018.00006"]}, {"id": "5bbf9a1dd48c9d388f791ed0627f010c3f5b6d64", "title": "Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01833.pdf"], "doi": []}, {"id": "075f0ca63dc0eb24b537125a983c28d61678fb2e", "title": "Diversity Regularized Adversarial Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10824.pdf"], "doi": []}, {"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": "5da53a17165fcc64e8fb6e9ca532bfb6d95ff622", "title": "RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition", "year": "2017", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/rscm_pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7904720", "http://doi.org/10.1109/TIP.2017.2695883", "https://www.ncbi.nlm.nih.gov/pubmed/28436867", "https://www.wikidata.org/entity/Q38823329"]}, {"id": "7b07a87ff71b85f3493d1944034a960917b8482f", "title": "Alternating BackPropagation for Generator Network", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7b07/a87ff71b85f3493d1944034a960917b8482f.pdf"], "doi": []}, {"id": "a9090748223ea0932d075a2eb5615ea48bb24cc0", "title": "On Latent Distributions Without Finite Mean in Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01670.pdf"], "doi": []}, {"id": "120adede81dc6b3bfcb4cd276f0b73cc58a96c1a", "title": "PixelCNN Models with Auxiliary Variables for Natural Image Modeling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08185.pdf"], "doi": []}, {"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": "a66d2c8220d53742ec240ed3e77b8f81a0d72531", "title": "TzK: Flow-Based Conditional Generative Model", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01893.pdf"], "doi": []}, {"id": "5a4a53339068eebd1544b9f430098f2f132f641b", "title": "Hierarchical Disentangled Representations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e3ba/139c5a739f5c27d2cb7e0f93e76daddcee66.pdf"], "doi": []}, {"id": "9941a408ae031d1254bbc0fe7a63fac5f85fe347", "title": "Neural Processes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01622.pdf"], "doi": []}, {"id": "308898a6bcb180f8fde1901a89e8baa213eb4954", "title": "MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08484.pdf"], "doi": []}, {"id": "404c7839afe2fec48a06f83d2a532c05ad8ba0d3", "title": "Vehicle Classification using Transferable Deep Neural Network Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/404c/7839afe2fec48a06f83d2a532c05ad8ba0d3.pdf"], "doi": []}, {"id": "da13a0dbcea87e032acb6b1ce64f7cb778f39612", "title": "Disentangling Disentanglement in Variational Auto-Encoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02833.pdf"], "doi": []}, {"id": "8392640c275cab9bfbf6b35eaf4556618745b118", "title": "Deep Multimodality Model for Multi-task Multi-view Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08723.pdf"], "doi": []}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}, {"id": "cfd37181201c886b591c30869af8c7f39cd7d22f", "title": "Graphical Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03429.pdf"], "doi": []}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "23fd82c04852b74d655015ff0876e6c5defc6e61", "title": "Deep-based Ingredient Recognition for Cooking Recipe Retrieval", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964315"]}, {"id": "784a83437b3dba49c0d7ccc10ac40497b84661a5", "title": "Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Kaneko_Generative_Attribute_Controller_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Kaneko_Generative_Attribute_Controller_2017_CVPR_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100224", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.741", "http://doi.org/10.1109/CVPR.2017.741"]}, {"id": "76cb2ecc96f02b1d8a7a0d1681fbb55367a4b765", "title": "Learning Object States from Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76cb/2ecc96f02b1d8a7a0d1681fbb55367a4b765.pdf"], "doi": []}, {"id": "4d3cbc5799d7963477da279dae9a08ac4d459157", "title": "Deep Learning for Nonlinear Diffractive Imaging", "year": "2018", "pdf": [], "doi": []}, {"id": "619a5c54981238fd9c31300c5a45857338742d32", "title": "An Introduction to Image Synthesis with Generative Adversarial Nets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04469.pdf"], "doi": []}, {"id": "fa60521dabd2b64137392b4885e4d989f4b86430", "title": "Physics-Based Generative Adversarial Models for Image Restoration and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00605.pdf"], "doi": []}, {"id": "a101de23d08350011890f851d4f73ba8f39259c8", "title": "Multi-Task Zipping via Layer-wise Neuron Sharing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09791.pdf"], "doi": []}, {"id": "b8658fc3b17e75afce025bcbb161dd02e7004b1f", "title": "Deep Mesh Projectors for Inverse Problems", "year": "2018", "pdf": [], "doi": []}, {"id": "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "title": "Arbitrary Facial Attribute Editing: Only Change What You Want", "year": "2017", "pdf": [], "doi": []}, {"id": "6baaa8b763cc5553715766e7fbe7abb235fae33c", "title": "Facial Attributes Classification Using Multi-task Representation Learning", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Ehrlich_Facial_Attributes_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789589", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.99", "http://doi.org/10.1109/CVPRW.2016.99"]}, {"id": "7b058f57d40925e255f88648e9bd41c6aaf1c37b", "title": "Virtual Conditional Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09822.pdf"], "doi": []}, {"id": "257e61e6b38ae23b7ddce9907c05b0e78be4d79d", "title": "The LORACs prior for VAEs: Letting the Trees Speak for the Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06891.pdf"], "doi": []}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "58108d7ddb79dcdab8c403f0dea6f239058be0d9", "title": "Improving the Visual Quality of Generative Adversarial Network (GAN)-Generated Images Using the Multi-Scale Structural Similarity Index", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451296"]}, {"id": "544cf61103ac01eacb6d41f4d35ee1cf89167db1", "title": "Assessing Generative Models via Precision and Recall", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00035.pdf"], "doi": []}, {"id": "c86e6ed734d3aa967deae00df003557b6e937d3d", "title": "Generative Adversarial Networks with Decoder-Encoder Output Noise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03923.pdf"], "doi": []}, {"id": "fc3e097ea7dd5daa7d314ecebe7faad9af5e62fb", "title": "Variational Inference and Model Selection with Generalized Evidence Bounds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fc3e/097ea7dd5daa7d314ecebe7faad9af5e62fb.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": "48a62c91794c55aa3a81acaca77de52753a854b0", "title": "Direct Optimization through arg max for Discrete Variational Auto-Encoder", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02867.pdf"], "doi": []}, {"id": "8bddd0afd064e2d45ab6cf9510f2631f7438c17b", "title": "Outlier Detection using Generative Models with Theoretical Performance Guarantees", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11335.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": "66436e96aafa7abd3b0700e8409dbb360775a9b8", "title": "Considering Race a Problem of Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638327"]}, {"id": "a4ee9f089ab9a48a6517a6967281247339a51747", "title": "Resembled Generative Adversarial Networks: Two Domains with Similar Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00947.pdf"], "doi": []}, {"id": "07a8a4b8f207b2db2a19e519027f70cd1c276294", "title": "Pixel Recursive Super Resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00783.pdf"], "doi": []}, {"id": "0700d36427b3a6cb6223a639ffea11570400ab25", "title": "Doing the Best We Can with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16962", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16962/16273"]}, {"id": "21ae4ed57d395aba2158a4f86e93935be66dea20", "title": "Wasserstein Introspective Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578488"]}, {"id": "8d6d0fdf4811bc9572326d12a7edbbba59d2a4cc", "title": "SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02531.pdf"], "doi": []}, {"id": "654ad3b6f7c6de7184a9e8eec724e56274f27e3f", "title": "Alternating Back-Propagation for Generator Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.08571.pdf"], "doi": []}, {"id": "6503c617db449861b96043b2bc892a1b4cb40a95", "title": "Learning the Base Distribution in Implicit Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04357.pdf"], "doi": []}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373846"]}, {"id": "3654e8d4f55df2dd12c0cdc37150a8a989b0bc74", "title": "Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity loss", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3654/e8d4f55df2dd12c0cdc37150a8a989b0bc74.pdf"], "doi": []}, {"id": "8191f76d9df5c59186859c4834026c8e0fb42922", "title": "Deep Semantic Face Deblurring", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578960"]}, {"id": "e7ad380496ccc2e65486c2158589ca9b009cc386", "title": "Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8492399"]}, {"id": "4b8903b4eb3a60c0fb01c229e3192a5f9159d460", "title": "LOG HYPERBOLIC COSINE LOSS IMPROVES VARIA-", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4b89/03b4eb3a60c0fb01c229e3192a5f9159d460.pdf"], "doi": []}, {"id": "3f6a6050609ba205ec94b8af186a9dca60a8f65e", "title": "Harmonizing Maximum Likelihood with Gans", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3f6a/6050609ba205ec94b8af186a9dca60a8f65e.pdf"], "doi": []}, {"id": "2d42b5915ca18fdc5fa3542bad48981c65f0452b", "title": "Generalization and Equilibrium in Generative Adversarial Nets (GANs)", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00573.pdf"], "doi": []}, {"id": "d50c6d22449cc9170ab868b42f8c72f8d31f9b6c", "title": "Dynamic MultiTask Learning with Convolutional Neural Network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d50c/6d22449cc9170ab868b42f8c72f8d31f9b6c.pdf"], "doi": []}, {"id": "7c2174a02f355a00f1fd5aac6dd62c84a919a2d1", "title": "Normal Residual Blocks Albedo Residual Blocks Light Estimator SH light Normal Conv . Albedo Conv . Conv . Normal Albedo Shading Image Recon", "year": "2017", "pdf": [], "doi": []}, {"id": "a8db91308f59bc9452e87fc553eecea67632c443", "title": "Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation", "year": "2017", "pdf": [], "doi": []}, {"id": "70f3d3d9a7402a0f62a5646a16583c6c58e3b07a", "title": "An Architecture for Deep, Hierarchical Generative Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04739.pdf"], "doi": []}, {"id": "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "title": "Implementing a Robust Explanatory Bias in a Person Re-identification Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575462"]}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "9063b17ccfdf73fc789d01d3c44c451244638528", "title": "Detecting Both Machine and Human Created Fake Face Images In the Wild", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267367"]}, {"id": "485f8b28dcb7a5ffc98beb49fcbb50cf0a0b6331", "title": "A Latent Space Understandable Generative Adversarial Network: SelfExGAN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227390", "http://doi.org/10.1109/DICTA.2017.8227390"]}, {"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": "22d51400424c93eebc136213d51c1aebc9c1f715", "title": "Learning Implicit Generative Models by Teaching Explicit Ones", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03870.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": "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": "53275aea89844c503daf8e4d0864764201def8f3", "title": "Learning deep representations by mutual information estimation and maximization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06670.pdf"], "doi": []}, {"id": "e7263a21c0bf2c146e1b8a13b8ad518286a55159", "title": "Model Cards for Model Reporting", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287596"]}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "40a63746a710baf4a694fd5a4dd8b5a3d9fc2846", "title": "Invertible Conditional GANs for image editing", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06355.pdf"], "doi": []}, {"id": "b1ffd13e8f68401a603eea9806bc37e396a3c77d", "title": "Face Generation with Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b1ff/d13e8f68401a603eea9806bc37e396a3c77d.pdf"], "doi": []}, {"id": "788a3faa14ca191d7f187b812047190a70798428", "title": "Interpretable Set Functions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00050.pdf"], "doi": []}, {"id": "0677dd5377895b3c61cea0e6a143f38b84f1ebd7", "title": "Multimedia super-resolution via deep learning: A survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.09077.pdf"], "doi": []}, {"id": "e8c6853135856515fc88fff7c55737a292b0a15b", "title": "BoxFlow: Unsupervised Face Detector Adaptation from Images to Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961758", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.46", "http://doi.org/10.1109/FG.2017.46"]}, {"id": "12417ed7ae81fb4e6c07f501ace9ea463349481b", "title": "Pairwise Augmented GANs with Adversarial Reconstruction Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04920.pdf"], "doi": []}, {"id": "cc4bc9f3df2d1395bb2eed084c01aa7c40975cf0", "title": "Unsupervised learning of object frames by dense equivariant image labelling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02932.pdf"], "doi": []}, {"id": "b22b4817757778bdca5b792277128a7db8206d08", "title": "SCAN: Learning Hierarchical Compositional Visual Concepts", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.03389.pdf"], "doi": []}, {"id": "8783bb81f31d66d824f36c6fb6dd2b6b3c0f2021", "title": "Unsupervised Discovery of Object Landmarks as Structural Representations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578383"]}, {"id": "bc17c2075d7f7bc414acc00a88ff5a464eedaebe", "title": "Solving Bilinear Inverse Problems using Deep Generative Priors", "year": "2018", "pdf": [], "doi": []}, {"id": "6066e13aea80f64b6ad1415cfc3839c1f8590c04", "title": "Grouping-By-ID : Guarding Against Adversarial Domain Shifts", "year": "2017", "pdf": [], "doi": []}, {"id": "f1aa120fb720f6cfaab13aea4b8379275e6d40a2", "title": "InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f1aa/120fb720f6cfaab13aea4b8379275e6d40a2.pdf"], "doi": []}, {"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": "91ddd01e983336731dce6640d66242409e6d5430", "title": "High-Resolution Deep Convolutional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06491.pdf"], "doi": []}, {"id": "14defe2727fa6793132b6c419ff2ebc97a765a7c", "title": "Complex-Valued Neural Networks for Privacy Protection", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09546.pdf"], "doi": []}, {"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": "fa32b29e627086d4302db4d30c07a9d11dcd6b84", "title": "Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network", "year": "2018", "pdf": ["http://www.public.asu.edu/~swang187/publications/WACV18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354123", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00019", "http://doi.org/10.1109/WACV.2018.00019"]}, {"id": "69c8b0ec77d3164df2069a5133780a36ec8e91ad", "title": "Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09312.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": "d5cf6a02f8308e948e3bcd1fd1ca660ea8ea8921", "title": "G ENERATIVE NETWORKS AS INVERSE PROBLEMS WITH SCATTERING TRANSFORMS", "year": "", "pdf": ["https://pdfs.semanticscholar.org/d5cf/6a02f8308e948e3bcd1fd1ca660ea8ea8921.pdf"], "doi": []}, {"id": "6789bddbabf234f31df992a3356b36a47451efc7", "title": "Unsupervised Generation of Free-Form and Parameterized Avatars.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6789/bddbabf234f31df992a3356b36a47451efc7.pdf"], "doi": []}, {"id": "8818dafda0cf230731ac2f962d8591c89a9fac09", "title": "xGEMs: Generating Examplars to Explain Black-Box Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08867.pdf"], "doi": []}, {"id": "cfcf66e4b22dc7671a5941e94e9d4afae75ba2f8", "title": "The Cramer Distance as a Solution to Biased Wasserstein Gradients", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10743.pdf"], "doi": []}, {"id": "bb9a697548b8f3f9f2211228a907a8763d2a7845", "title": "Neural Proximal Gradient Descent for Compressive Imaging", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03963.pdf"], "doi": []}, {"id": "eef29a4fef85c7ed8acde9ca42f8f09d944f361d", "title": "Learning to Super-Resolve Blurry Face and Text Images", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv2017_gan_super_deblur.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Xu_Learning_to_Super-Resolve_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237298", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.36", "http://doi.org/10.1109/ICCV.2017.36"]}, {"id": "4fec382efed4e08a36fafa3710b97f0b20de1ebe", "title": "BINARIZED REPRESENTATION ENTROPY (BRE) REGULARIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4fec/382efed4e08a36fafa3710b97f0b20de1ebe.pdf"], "doi": []}, {"id": "799322fc525964889afbfde27db1fcef9feb3d61", "title": "Training Deep Neural Network in Limited Precision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05486.pdf"], "doi": []}, {"id": "8699268ee81a7472a0807c1d3b1db0d0ab05f40d", "title": "Channel-Recurrent Autoencoding for Image Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03729.pdf"], "doi": []}, {"id": "31996925c87d8306401a970fe10e4c0f9123d2a5", "title": "Disentangling Latent Factors with Whitening", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03444.pdf"], "doi": []}, {"id": "cfcb4d0d9ba7eb86f068c4fe0f9e6676a37481bc", "title": "Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Di_Max-Boost-GAN_Max_Operation_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265349", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.140", "http://doi.org/10.1109/ICCVW.2017.140"]}, {"id": "912475e1be5c327ab25eda51d77de141ac5f4ea7", "title": "Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578714"]}, {"id": "4e97b53926d997f451139f74ec1601bbef125599", "title": "Discriminative Regularization for Generative Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03220.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": "1c44b632bcd6494f4cfc41c70ed53d93f72473cc", "title": "Generative Temporal Models with Spatial Memory for Partially Observed Environments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09401.pdf"], "doi": []}, {"id": "b4282699ac8fcaba118afae76aaf72bc97505fb3", "title": "First Order Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04591.pdf"], "doi": []}, {"id": "008150576e5fa29fdf22d863605a261808800dc6", "title": "SMIT: Stochastic Multi-Label Image-to-Image Translation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03704.pdf"], "doi": []}, {"id": "76b11c281ac47fe6d95e124673a408ee9eb568e3", "title": "Real-time Multi View Face Detection and Pose Estimation Aishwarya", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76b1/1c281ac47fe6d95e124673a408ee9eb568e3.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "251179381afd4f65ab59ddbd8cd37e24d439d140", "title": "Hierarchical Adversarially Learned Inference", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01071.pdf"], "doi": []}, {"id": "0ac54252eab1ac7641e03bc9b7344e2064e06405", "title": "A Spectral Regularizer for Unsupervised Disentanglement", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01161.pdf"], "doi": []}, {"id": "04fd269c96f11235fbbb985bb16dacedaa3098fd", "title": "Guarding Against Adversarial Domain Shifts with Counterfactual Regularization", "year": "2017", "pdf": [], "doi": []}, {"id": "edab5891f057dd9222f92331cdd8c72a41390650", "title": "Metropolis-Hastings Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11357.pdf"], "doi": []}, {"id": "48bc87ccc6b6e2d318f91d5f1886432806fec553", "title": "Multiaccuracy: Black-Box Post-Processing for Fairness in Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12317.pdf"], "doi": []}, {"id": "641fd2edcf93fa29181952356e93a83a26012aa2", "title": "Following are some examples from CIFAR dataset : Goal : To alter the training criteria to obtain \u2018 objectness \u2019 in the synthesis of images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/424a/f8e96c76de69153a0d528cf7d41d5c69a1a1.pdf"], "doi": []}, {"id": "9baf0509f63a3322d127ae4374aa5b0f9d5439b8", "title": "Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs", "year": "2017", "pdf": [], "doi": []}, {"id": "833cd4265bd8162d3cfb483ce8f31eaef28e7a2e", "title": "TOWARDS EFFECTIVE GANS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/833c/d4265bd8162d3cfb483ce8f31eaef28e7a2e.pdf"], "doi": []}, {"id": "15aa6c457678e25f6bc0e818e5fc39e42dd8e533", "title": "Conditional Image Generation for Learning the Structure of Visual Objects", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07823.pdf"], "doi": []}, {"id": "91e9e19a06614197b5431410cecd29762223e04e", "title": "Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00077.pdf"], "doi": []}, {"id": "389b2390fd310c9070e72563181547cf23dceea3", "title": "\u03b2-VAE : L EARNING B ASIC", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/389b/2390fd310c9070e72563181547cf23dceea3.pdf"], "doi": []}, {"id": "a398fcb30b49bee32d8f2c4cd3939517cd262025", "title": "Generative Adversarial Style Transfer Networks for Face Aging", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Palsson_Generative_Adversarial_Style_CVPR_2018_paper.pdf", "http://www.vision.ee.ethz.ch/~aeirikur/generative-adversarial-style.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Palsson-CVPRW-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575452", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00282", "http://doi.org/10.1109/CVPRW.2018.00282"]}, {"id": "e51d170dd4119ae1464c01fbb14e04e0ce8b3025", "title": "Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00415.pdf"], "doi": []}, {"id": "e23ed8642a719ff1ab08799257d9566ed3bba403", "title": "Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09798.pdf"], "doi": []}, {"id": "f89e5a8800b318fa03289b5cc67df54b956875b4", "title": "Do GANs actually learn the distribution? An empirical study", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08224.pdf"], "doi": []}, {"id": "45824905119ec09447d60e1809434062d5f4c1e4", "title": "Detecting Smiles of Young Children via Deep Transfer Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Xia_Detecting_Smiles_of_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265406", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.196", "http://doi.org/10.1109/ICCVW.2017.196"]}, {"id": "4b850dbf3c818dc287f27f144f870b4f0b08ef09", "title": "Training Generative Reversible Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01610.pdf"], "doi": []}, {"id": "97eabf253570f1fda79a0e217a7bbdb5aec871da", "title": "Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10895.pdf"], "doi": []}, {"id": "fafd0d7dd9c845960bfdc90d87066bdb14d4e3ab", "title": "Disentangling by Factorising", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05983.pdf"], "doi": []}, {"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": "b2504b0b2a7e06eab02a3584dd46d94a3f05ffdf", "title": "Conditional Neural Processes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01613.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "16f48e8b7f1f6c03c888e3f4664ce3fa1261296b", "title": "Steganographic Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05502.pdf"], "doi": []}, {"id": "60bc358296ae11ac8f11286bba0a49ac7e797d26", "title": "Diverse Image-to-Image Translation via Disentangled Representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00948.pdf"], "doi": []}, {"id": "d80564cea654d11b52c0008891a0fd2988112049", "title": "Semi-supervised Conditional GANs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.05789.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": "e3582dffe5f3466cc5bc9d736934306c551ab33c", "title": "AttGAN: Facial Attribute Editing by Only Changing What You Want", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10678.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": "16554e854f1dd6964883d929ef34eb4c1f04e072", "title": "ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579083"]}, {"id": "f79da1632565f10ba4feac93fbb1aa521ba09015", "title": "Performance Evaluation of Image and Video Cloud Services", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622864"]}, {"id": "2cc9e70cd4664533af9bf34b2da7a1c2694616f8", "title": "Tempered Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04374.pdf"], "doi": []}, {"id": "646030fe70672299b099adede5c446115826f4f6", "title": "Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575554"]}, {"id": "6f9873e2a7bc279c4f0a45c1a6e831ef3ba78ae7", "title": "Improving GAN Training via Binarized Representation Entropy (BRE) Regularization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03644.pdf"], "doi": []}, {"id": "6b327af674145a34597986ec60f2a49cff7ed155", "title": "Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.06605.pdf"], "doi": []}, {"id": "ec2027c2dd93e4ee8316cc0b3069e8abfdcc2ecf", "title": "Latent Variable PixelCNNs for Natural Image Modeling", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/252c/2e5e59d7b08887095b272d19dcd76fcf4a82.pdf"], "doi": []}, {"id": "5fd147f57fc087b35650f7f3891d457e4c745d48", "title": "Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08819.pdf"], "doi": []}, {"id": "4273c24df71ec59c0c1cad95342d01cf53bb7d8d", "title": "StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579014"]}, {"id": "bc995457cf5f4b2b5ef62106856571588d7d70f2", "title": "Comparison of Maximum Likelihood and GAN-based training of Real NVPs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05263.pdf"], "doi": []}, {"id": "9aab33ce8d6786b3b77900a9b25f5f4577cea461", "title": "Automatic Semantic Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961739", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.31", "http://doi.org/10.1109/FG.2017.31"]}, {"id": "147b7998526ebbdf64b1662503b378d9f6456ccd", "title": "GENERATIVE ADVERSARIAL NETWORKS FOR IMAGE STEGANOGRAPHY", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/147b/7998526ebbdf64b1662503b378d9f6456ccd.pdf"], "doi": []}, {"id": "065c54829a8d2511adc9122ad183be97ada7a7bc", "title": "Attribute Augmented Convolutional Neural Network for Face Hallucination", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575266"]}, {"id": "341de07abfb89bf78f3a72513c8bce40d654e0a3", "title": "Sparse and Deep Generalizations of the FRAME Model", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d54/360c1eb3c7f3485ee450e7979aef7ec8019e.pdf"], "doi": []}, {"id": "a9df9f3500d518b1eaa2c450d5cc3b2b8437dd67", "title": "Sliced Wasserstein Distance for Learning Gaussian Mixture Models", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578459"]}, {"id": "81d67fa2f5eb76c9b0afb2d887e95ba78b6e46c9", "title": "Learning Implicit Generative Models with the Method of Learned Moments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11006.pdf"], "doi": []}, {"id": "0ae192e146431a52d7bb51923e9bdd7292ab12ef", "title": "Multi-Generator Generative Adversarial Nets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02556.pdf"], "doi": []}, {"id": "ff3401d410fe89771be0f528170c4990397c264c", "title": "Structured Uncertainty Prediction Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578672"]}, {"id": "c6437e7fb44f13a5ff610c9daf8fa7ce4a6c1ec3", "title": "The Riemannian Geometry of Deep Generative Models", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575533"]}, {"id": "b4c80df27276660522f8901aa90c129c15611821", "title": "On Detecting Domestic Abuse via Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575463"]}, {"id": "fe030b87e3c985c9dedab130949e2868e3e5e7d5", "title": "Explaining Neural Networks Semantically", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe03/0b87e3c985c9dedab130949e2868e3e5e7d5.pdf"], "doi": []}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "62b90583723174220b26c92bd67f6c422ad75570", "title": "DNA-GAN: LEARNING DISENTANGLED REPRESEN-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62b9/0583723174220b26c92bd67f6c422ad75570.pdf"], "doi": []}, {"id": "a34e5c66bd553d8a75e13084fb7a81217c21e33b", "title": "Attributes as Operators: Factorizing Unseen Attribute-Object Compositions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09851.pdf"], "doi": []}, {"id": "fd4537b92ab9fa7c653e9e5b9c4f815914a498c0", "title": "One-Sided Unsupervised Domain Mapping", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00826.pdf"], "doi": []}, {"id": "2780f8fc25320f4fb258442ceb790ffe301730fe", "title": "Generative Reversible Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "fac36fa1b809b71756c259f2c5db20add0cb0da0", "title": "Transferring GANs: Generating Images from Limited Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01677.pdf"], "doi": []}, {"id": "d2860bb05f747e4628e95e4d84018263831bab0d", "title": "Learning to Generate Samples from Noise through Infusion Training", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06975.pdf"], "doi": []}, {"id": "80a3ad65623a286c11881b542e3262ebb2733219", "title": "Blind Image Deconvolution using Deep Generative Priors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04073.pdf"], "doi": []}, {"id": "18ec3b37a33db39ac0633677e944cc81be58f7ba", "title": "Cooperative Training of Descriptor and Generator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09408.pdf"], "doi": []}, {"id": "556ca2389246b0a848b578dc824b930e1337a4bc", "title": "Tri-axial Self-Attention for Concurrent Activity Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02817.pdf"], "doi": []}, {"id": "d5c4e3c101041556e00b25c0dcb09716827ed5b3", "title": "Unsupervised Image-to-Image Translation with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02676.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "1ec59aece51a698bce34f393cf6474b926fd89ad", "title": "Exemplar Guided Unsupervised Image-to-Image Translation", "year": "2018", "pdf": [], "doi": []}, {"id": "8d9067da4ba5c57643ee7a84cd5c5d5674384937", "title": "Sorting out Lipschitz function approximation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05381.pdf"], "doi": []}, {"id": "0ab07d0d6cf8d417e695a43ef4b88bf70b68213a", "title": "Adversarial Learning with Local Coordinate Coding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04895.pdf"], "doi": []}, {"id": "ff83aade985b981fbf2233efbbd749600e97454c", "title": "Towards Understanding Adversarial Learning for Joint Distribution Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01215.pdf"], "doi": []}, {"id": "64a5f474014e3924d3f04c8b44d6a8ed8f6c82da", "title": "Changing the Image Memorability: From Basic Photo Editing to GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03825.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "4a5bd1f2935f9a3c33f1a103a1d43377e61265a0", "title": "Conditional Image-to-Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578677"]}, {"id": "9f723469b6634a7d08d3b888e23421e873c95617", "title": "Generative Image Inpainting with Contextual Attention", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578675"]}, {"id": "fa3a1b77c105f40199de835a75b4b232ac332f71", "title": "Variational learning across domains with triplet information", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08672.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "6f900e683ea1fc85825a403d1ba2df7875f35bb9", "title": "Joint-VAE: Learning Disentangled Joint Continuous and Discrete Representations", "year": "2018", "pdf": [], "doi": []}, {"id": "7c0c9ab92d49941089979c1e344fe66efc873bdd", "title": "Generative Adversarial Examples", "year": "2018", "pdf": [], "doi": []}, {"id": "d98a36081a434451184fa4becb59bf5ec55f3a1e", "title": "Computational face reader based on facial attribute estimation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.110"]}, {"id": "4131aa28d640d17e1d63ca82e55cc0b280db0737", "title": "COULOMB GANS: PROVABLY OPTIMAL NASH EQUI-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/827c/08151b92dbf8fa307c4e5928340d7294bcff.pdf"], "doi": []}, {"id": "4cb48924acdcc0b20ef05ea5f5e856b081d9b40f", "title": "A Classification-Based Study of Covariate Shift in GAN Distributions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00970.pdf"], "doi": []}, {"id": "e4fb693d8b2755b8e989e0c59b28db3c75591503", "title": "Classification of E-Commerce-Related Images Using Hierarchical Classification with Deep Neural Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8278089"]}, {"id": "9fb372fd2fb79571de1cc388154d4a3f0547d440", "title": "PBGAN: Partial Binarization of Deconvolution Based Generators", "year": "2018", "pdf": [], "doi": []}, {"id": "99f565df31ef710a2d8a1b606e3b7f5f92ab657c", "title": "Geometry Score: A Method For Comparing Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02664.pdf"], "doi": []}, {"id": "2786a595741c0bdbedbc0e3cc2e4174f784ac776", "title": "Distribution Matching in Variational Inference", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06847.pdf"], "doi": []}, {"id": "96390f95a73a6bd495728b6cd2a97554ef187f76", "title": "Pan Olympus : Sensor Privacy through Utility Aware", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9639/0f95a73a6bd495728b6cd2a97554ef187f76.pdf"], "doi": []}, {"id": "d81dbc2960e527e91c066102aabdaf9eb8b15f85", "title": "Deep Directed Generative Models with Energy-Based Probability Estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03439.pdf"], "doi": []}, {"id": "8a3bf4d403a39ed33f0fa8cf78dc906d6130595f", "title": "Semantic Image Inpainting with Deep Generative Models", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100211"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "7804949c133d7308d828a94a7944d47c1f0ffe67", "title": "Detection of Deep Network Generated Images Using Disparities in Color Components", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07276.pdf"], "doi": []}, {"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": "cf65c2df432cd9dc9e29aca55da4f49d9cafe961", "title": "Spatial Fusion GAN for Image Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05840.pdf"], "doi": []}, {"id": "6903496ee5d4c24ca5f3f18211f406e0ba8442d6", "title": "Multi-Mapping Image-to-Image Translation with Central Biasing Normalization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10050.pdf"], "doi": []}, {"id": "2b507f659b341ed0f23106446de8e4322f4a3f7e", "title": "Deep Identity-aware Transfer of Facial Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05586.pdf"], "doi": []}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "9d8978ee319d671283a90761aaed150c7cc9154b", "title": "Fader Networks: Manipulating Images by Sliding Attributes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00409.pdf"], "doi": []}, {"id": "d3d887aebeeae44cefd5c2bdbb388d9ce109e335", "title": "Image Manipulation with Perceptual Discriminators", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01396.pdf"], "doi": []}, {"id": "0a02184707247a79a236a03f85ab35d99a68be33", "title": "Bidirectional Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07461.pdf"], "doi": []}, {"id": "c231d8638e8b5292c479d20f7dd387c53e581a1a", "title": "Multi-View Data Generation Without View Supervision", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00305.pdf"], "doi": []}, {"id": "8326d3e57796dad294ab1c14a0688221550098b6", "title": "ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8326/d3e57796dad294ab1c14a0688221550098b6.pdf"], "doi": []}, {"id": "40c3f90f0abf842ee6f6009c414fde4f86b82005", "title": "Synchronization Detection and Recovery of Steganographic Messages with Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.10365.pdf"], "doi": []}, {"id": "c64a45c2ce84c86e67cf22429d78432aa138317c", "title": "Spatiotemporal Data Fusion for Precipitation Nowcasting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10915.pdf"], "doi": []}, {"id": "174ddb6379b91a0e799e9988d0e522a5af18f91d", "title": "ChatPainter: Improving Text to Image Generation using Dialogue", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08216.pdf"], "doi": []}, {"id": "f83d1726f7a4e164027a3fa44cfe842640907d35", "title": "A Factorial Mixture Prior for Compositional Deep Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07480.pdf"], "doi": []}, {"id": "907fbe706ec14101978a63c6252e0d75e657e8dd", "title": "The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00043.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": "79815f31f42708fd59da345f8fa79f635a070730", "title": "Autoregressive Quantile Networks for Generative Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05575.pdf"], "doi": []}, {"id": "442ee5a3f51ca93a642c20fa69326f3b17367565", "title": "Detection of rail surface defects based on CNN image recognition and classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8323642"]}, {"id": "a7e5a46e47dd21cc9347b913dd3dde2f0ad832ed", "title": "On denoising autoencoders trained to minimise binary cross-entropy", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08487.pdf"], "doi": []}, {"id": "d1697250de6f91d3a3266c1ff0fdce0bf96acfe3", "title": "A C Lassification \u2013 B Ased P Erspective on Gan D Istributions", "year": "2017", "pdf": [], "doi": []}, {"id": "7695ad05116bfdf9a6d106b3ea356a37d41a7c0a", "title": "Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09206.pdf"], "doi": []}, {"id": "ea94d834f912f092618d030f080de8395fe39b3f", "title": "Joint autoencoders : a flexible meta-learning framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3027/8a460e2936596b671d20599f2598c4d284ed.pdf"], "doi": []}, {"id": "7da7678882d06a1f93636f58fe89635da5b1dd0c", "title": "EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.07919.pdf"], "doi": []}, {"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": "de60ee528db713d264ffea870b33f8be054fb8c7", "title": "A Classification-Based Perspective on GAN Distributions", "year": "2017", "pdf": [], "doi": []}, {"id": "2d6d4899c892346a9bc8902481212d7553f1bda4", "title": "Neural Face Editing with Intrinsic Image Disentangling SUPPLEMENTARY MATERIAL", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2d6d/4899c892346a9bc8902481212d7553f1bda4.pdf"], "doi": []}, {"id": "43a2c871450ba4d8888e8692aa98cb10e861ea71", "title": "Learning Generative ConvNet with Continuous Latent Factors by Alternating Back-Propagation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/43a2/c871450ba4d8888e8692aa98cb10e861ea71.pdf"], "doi": []}, {"id": "e0f828376631b362aa550246c73d85e354126fed", "title": "Disentangling Factors of Variation by Mixing Them", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578456"]}, {"id": "2829c069ff0e6b6e8bcb904c2ba61279434f7980", "title": "NECST: Neural Joint Source-Channel Coding", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bd17/d6ba5525dec8762dbaacf6cc3e0cc3f5ff90.pdf"], "doi": []}, {"id": "1dd3faf5488751c9de10977528ab96be24616138", "title": "Detecting Anomalous Faces with 'No Peeking' Autoencoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05798.pdf"], "doi": []}, {"id": "65ec52a3e0a0f6a46fd140ff83bb82d7d02a2d45", "title": "Learning Hierarchical Features from Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08396.pdf"], "doi": []}, {"id": "9557da53ddb8a122281f92a17a2a816acde1b3d8", "title": "Do GAN Loss Functions Really Matter?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09567.pdf"], "doi": []}, {"id": "2a417a16473e2bcb1c98cd7814bc106760925e60", "title": "Image Inpainting for Irregular Holes Using Partial Convolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07723.pdf"], "doi": []}, {"id": "d87ccfc42cf6a72821d357aab0990e946918350b", "title": "Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00370.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": "c86afba9c77a9b1085ccc6c44c36fa3a1fdb51c5", "title": "New Losses for Generative Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01290.pdf"], "doi": []}, {"id": "82821e227683d66543a303f4faddc1376a91a463", "title": "Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8282/1e227683d66543a303f4faddc1376a91a463.pdf"], "doi": []}, {"id": "84e9de36dd7915f9334db5cc1fe567e17d717495", "title": "Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.07397.pdf"], "doi": []}, {"id": "f00dd1f092ad93d659070a8e77f00b5902ec74b4", "title": "Inferencing based on unsupervised learning of disentangled representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02627.pdf"], "doi": []}, {"id": "56bc524d7cc1ff2fad8f27c0414cac437fc2b4f0", "title": "Protest Activity Detection and Perceived Violence Estimation from Social Media Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06204.pdf"], "doi": []}, {"id": "02a97d3cd6c57636ef6f1bb9e3171e832ff8d307", "title": "A Hierarchical Grocery Store Image Dataset With Visual and Semantic Labels", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658240"]}, {"id": "4d91926b9291fd4542547f5e974be8c82cf6c822", "title": "A BIOLOGICALLY INSPIRED VISUAL WORKING MEMORY", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e22c/f1ca10c11991c2a43007e37ca652d8f0d814.pdf"], "doi": []}, {"id": "0217fb2a54a4f324ddf82babc6ec6692a3f6194f", "title": "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03657.pdf"], "doi": []}, {"id": "471908e99d6965f0f6d249c9cd013485dc2b21df", "title": "Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.08446.pdf"], "doi": []}, {"id": "c8855bebdaa985dfc4c1a07e5f74a0e29787e47e", "title": "Multi-label Object Attribute Classification using a Convolutional Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04309.pdf"], "doi": []}, {"id": "486ee9d420fd1eba1006221d3d61931563bc4115", "title": "Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579022"]}, {"id": "6a20f975eb253503bba46a421275d46cf74ee1b9", "title": "Context Embedding Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579003"]}, {"id": "4a57999570a812795a93a6f9395058f575a0e531", "title": "Constraint-Based Visual Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09202.pdf"], "doi": []}, {"id": "4ed0be0b5d67cff63461ba79f2a7928d652cf310", "title": "Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00553.pdf"], "doi": []}, {"id": "e21c45b14d75545d40ed07896f26ec6f766f6a4b", "title": "Fisher GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09675.pdf"], "doi": []}, {"id": "ba60b642a558858325f50d38a345b6bb85114ce1", "title": "Imbalanced Deep Learning by Minority Class Incremental Rectification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10851.pdf"], "doi": []}, {"id": "1bf0c7bb20266e307b122bf785eeb76163bcef07", "title": "A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04261.pdf"], "doi": []}, {"id": "b362b812ececef21100d7a702447fcf5ab6d4715", "title": "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07543.pdf"], "doi": []}, {"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": "33150902d90e9e5917418da0e91c05d062fa8e05", "title": "Task-Aware Compressed Sensing With Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01284.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": "8dbf8f3ccf67500b1bfa5cec7225801bcf5cd1be", "title": "Which is the Better Inpainted Image?Training Data Generation Without Any Manual Operations", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1132-0"]}, {"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": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961738", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.30", "http://doi.org/10.1109/FG.2017.30"]}, {"id": "bea185a15d5df7bbfce83bc684c316412703efbb", "title": "PIXELNN: EXAMPLE-BASED IMAGE SYNTHESIS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/bea1/85a15d5df7bbfce83bc684c316412703efbb.pdf"], "doi": []}, {"id": "8681d139d86266642ff5008da05a1b30489fa29f", "title": "Relevance Factor VAE: Learning and Identifying Disentangled Factors", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01568.pdf"], "doi": []}, {"id": "3bf154166f149669ae6bbb2c265c6ced4992f3d4", "title": "Invertibility of Convolutional Generative Networks from Partial Measurements", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3bf1/54166f149669ae6bbb2c265c6ced4992f3d4.pdf"], "doi": []}, {"id": "66e57fe8d2bf08b5783d333c1870591b23008850", "title": "Nonlinear 3D Face Morphable Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578865"]}, {"id": "ab3b196c5386f7ec2d05870eeb8872c8b8e33d77", "title": "Unconditional Generative Models", "year": "2017", "pdf": [], "doi": []}, {"id": "501bc80334fd6e429d6fa2da7c81ecb1f03580b6", "title": "SGAN: An Alternative Training of Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579078"]}, {"id": "af6af58ba12920762638e1d0b8310a0d9961b7be", "title": "Sketch-to-Image Generation Using Deep Contextual Completion", "year": "2017", "pdf": [], "doi": []}, {"id": "7d8b1aab662186af200ba581573809452c9c2584", "title": "A Convex Duality Framework for GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11740.pdf"], "doi": []}, {"id": "e58f08ad6e0edd567f217ef08de1701a8c29fcc8", "title": "Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04062.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": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.pdf"], "doi": []}, {"id": "98aa23924e224f6e6cab043fa363f10f4d473c7d", "title": "Compressed Sensing with Deep Image Prior and Learned Regularization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06438.pdf"], "doi": []}, {"id": "a75ee7f4c4130ef36d21582d5758f953dba03a01", "title": "Human face attributes prediction with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a75e/e7f4c4130ef36d21582d5758f953dba03a01.pdf"], "doi": []}, {"id": "b23254b32e36e7d9782b7a076d6ad7b475d56c45", "title": "Generative Adversarial Image Synthesis with Decision Tree Latent Controller", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578789"]}, {"id": "14a022a3eb8cc9681b1ab075650d462788de1fa0", "title": "GANs for Biological Image Synthesis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04692.pdf"], "doi": []}, {"id": "9cc4abd2ec10e5fa94ff846c5ee27377caf17cf0", "title": "Improved Techniques for GAN based Facial Inpainting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08774.pdf"], "doi": []}, {"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": "eb72dcf0ba423d0e12d63cd7881f2ac5dfda7984", "title": "Associative Compression Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "e68ef9597613cd2b6cf76e81c13eb061ee468485", "title": "Latent Convolutional Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06284.pdf"], "doi": []}, {"id": "42f8ef9d5ebf969a7e2b4d1eef4b332db562e5d4", "title": "Which Training Methods for GANs do actually Converge?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.04406.pdf"], "doi": []}, {"id": "9eef060f351d2a107bd7eb5b49d67653a4ffa38b", "title": "Attribute-correlated local regions for deep relative attributes learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f88/d3189723669f957d83ad542ac5c2341c37a5.pdf"], "doi": []}, {"id": "79fc3c10ce0d0f48b25c8cf460048087c97e2e90", "title": "Variational Bi-domain Triplet Autoencoder", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08672.pdf"], "doi": []}, {"id": "baffdff4457b1cd1db06b933a67c4d117eec4dbf", "title": "Facelet-Bank for Fast Portrait Manipulation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578471"]}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "citations": [{"id": "b1c80444ecf42c303dbf65e47bea999af7a172bf", "title": "Exploring generative perspective of convolutional neural networks by learning random field models \u2217", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bea1/3cc5e7b39a05f858f69318b16c398863d610.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "c8dcb7b3c5ed43e61b90b50fedc76568d8e30675", "title": "GUARDING AGAINST ADVERSARIAL DOMAIN SHIFTS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c8dc/b7b3c5ed43e61b90b50fedc76568d8e30675.pdf"], "doi": []}, {"id": "90c8899132396fa1b4c1efd534739cadd5bdca3b", "title": "FR-ANet: A Face Recognition Guided Facial Attribute Classification Network", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16810", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16810/16466"]}, {"id": "9a10845115794117485fc84f9b9e6ada2a7d2b00", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03999.pdf"], "doi": []}, {"id": "57235f22abcd6bb928007287b17e235dbef83347", "title": "Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11145.pdf"], "doi": []}, {"id": "c5b311152a4e611288a77fbb1460eb0fbb049de3", "title": "An Efficient Training Strategy for Face Detector in Specific Scenes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976440", "http://doi.org/10.1109/ITME.2016.0026"]}, {"id": "00426c770eb74b11bdc63e24c8ae7f1c84c8ea8a", "title": "Fast cosmic web simulations with generative adversarial networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/239a/5a9cbe379e65ec72947c086af97d91e8e926.pdf"], "doi": []}, {"id": "3355aff37b5e4ba40fc689119fb48d403be288be", "title": "Deep Private-Feature Extraction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03151.pdf"], "doi": []}, {"id": "b63041d05b78a66724fbcb2803508999bf885d6b", "title": "Deep Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06114.pdf"], "doi": []}, {"id": "e184ee1c1ad3ea77dee5d8f9329eb2efabd2120a", "title": "Deep Archetypal Analysis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10799.pdf"], "doi": []}, {"id": "5b3e9cd460746c51607ba2bf8cac439f37d0c5c3", "title": "Learning Generative ConvNets via Multi-grid Modeling and Sampling", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579052"]}, {"id": "231af7dc01a166cac3b5b01ca05778238f796e41", "title": "GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08500.pdf"], "doi": []}, {"id": "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "title": "ROC-GAN: ROBUST CONDITIONAL GAN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4f5/8d7fc87a9c276965e604fbe83592bae7f4e5.pdf"], "doi": []}, {"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": "9ce4541d21ee3511bf3dc55bc3cd01222194d95a", "title": "Face inpainting based on high-level facial attributes", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.05.008"]}, {"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": "8134b052a9aedd573dd16649a611f68b48e30cb2", "title": "InverseFaceNet: Deep Monocular Inverse Face Rendering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.10956.pdf"], "doi": []}, {"id": "c4f3375dab1886f37f542d998e61d8c30a927682", "title": "BEYOND SHARED HIERARCHIES: DEEP MULTITASK LEARNING THROUGH SOFT LAYER ORDERING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c4f3/375dab1886f37f542d998e61d8c30a927682.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": "330b3db69f70f01afd674a2b7bce4bb5000bf164", "title": "Learning the Base Distribution in Implicit Generative Models", "year": "2018", "pdf": [], "doi": []}, {"id": "e909b9e0bbfc37d0b99acad5014e977daac7e2bd", "title": "Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10323.pdf"], "doi": []}, {"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": "731d33256d42dc4146019954c46c566aa666d7f2", "title": "Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578549", "http://doi.org/10.1109/CVPR.2018.00451"]}, {"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": "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": "8bff7353fa4f75629ea418ca8db60477a751db93", "title": "Invariance of Weight Distributions in Rectified MLPs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09090.pdf"], "doi": []}, {"id": "d979dbc55f73304a5d839079c070062e0b3ddbc5", "title": "Deep Learning Markov Random Field for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.07230.pdf"], "doi": []}, {"id": "a90226c41b79f8b06007609f39f82757073641e2", "title": "\u0392-vae: Learning Basic Visual Concepts with a Constrained Variational Framework", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a902/26c41b79f8b06007609f39f82757073641e2.pdf"], "doi": []}, {"id": "385750bcf95036c808d63db0e0b14768463ff4c6", "title": "Autoencoding beyond pixels using a learned similarity metric", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.09300.pdf"], "doi": []}, {"id": "c9b90cf9cdd901bd3072d6dfd8ddc523c55944b1", "title": "Adversarial Generator-Encoder Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c9b9/0cf9cdd901bd3072d6dfd8ddc523c55944b1.pdf"], "doi": []}, {"id": "39d08fa8b028217384daeb3e622848451809a422", "title": "Variational Approaches for Auto-Encoding Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04987.pdf"], "doi": []}, {"id": "0b783e750da34c61ea404be8bc40788fd66c867d", "title": "Generative Autotransporters", "year": "2017", "pdf": [], "doi": []}, {"id": "47617c126442fb041f8aab30a8c0c5d2a56d357b", "title": "Phase Retrieval Under a Generative Prior", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04261.pdf"], "doi": []}, {"id": "b04d4b1e8b510180726f49a66dbaaf23c9ef64a0", "title": "Introspective Generative Modeling: Decide Discriminatively.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07820.pdf"], "doi": []}, {"id": "08809165154c9c557d368cddfa3ae66ccaceaed9", "title": "Taming VAEs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00597.pdf"], "doi": []}, {"id": "372bc106c61e7eb004835e85bbfee997409f176a", "title": "Coupled Generative Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07536.pdf"], "doi": []}, {"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": "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": "40638a7a9e0a0499af46053c6efc05ce0b088a28", "title": "On the convergence properties of GAN training", "year": "2018", "pdf": [], "doi": []}, {"id": "cd5ef3aeebc231e2c833ef55cf0571aa990c5ff8", "title": "IMAGE QUALITY ASSESSMENT TECHNIQUES IMPROVE TRAINING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cd5e/f3aeebc231e2c833ef55cf0571aa990c5ff8.pdf"], "doi": []}, {"id": "346578304ff943b97b3efb1171ecd902cb4f6081", "title": "Generative Multi-Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01673.pdf"], "doi": []}, {"id": "a562180056cc4906d6d5ef9d2b4ed098d8512317", "title": "Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11346.pdf"], "doi": []}, {"id": "6211ba456908d605e85d102d63b106f1acb52186", "title": "Visual Interpretability forDeepLearning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6211/ba456908d605e85d102d63b106f1acb52186.pdf"], "doi": []}, {"id": "fed9e971e042b40cc659aca6e338d79dc1d4b59c", "title": "GROUPING-BY-ID: GUARDING AGAINST ADVERSAR-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fed9/e971e042b40cc659aca6e338d79dc1d4b59c.pdf"], "doi": []}, {"id": "1a8a2539cffba25ed9a7f2b869ebb737276ccee1", "title": "Pros and Cons of GAN Evaluation Measures", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03446.pdf"], "doi": []}, {"id": "2c94682176f320f406f78c484f9135f085d1c0f0", "title": "Geometric Enclosing Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "2bee6a78bbc3222a76cf1da0217567277aa3ed5f", "title": "Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10813.pdf"], "doi": []}, {"id": "7fa62c091a14830ae256dc00b512f7d4b4cf5b94", "title": "Stabilizing GAN Training with Multiple Random Projections", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7fa6/2c091a14830ae256dc00b512f7d4b4cf5b94.pdf"], "doi": []}, {"id": "df87a13f5c175217b9414bb1958c0fe1a28028c1", "title": "Learning Disentangled Joint Continuous and Discrete Representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00104.pdf"], "doi": []}, {"id": "b5097e8098d1ab1cc76b5d1baf693d61fcfee46a", "title": "A General and Adaptive Robust Loss Function.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b509/7e8098d1ab1cc76b5d1baf693d61fcfee46a.pdf"], "doi": []}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "06be17bcc4136476855fc594759dddc6f8b6150f", "title": "MMGAN: Manifold Matching Generative Adversarial Network for Generating Images", "year": "2017", "pdf": [], "doi": []}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "f0483ebab9da2ba4ae6549b681cf31aef2bb6562", "title": "3 C-GAN : A N CONDITION-CONTEXT-COMPOSITE GENERATIVE ADVERSARIAL NETWORKS FOR GENERATING IMAGES SEPARATELY", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f048/3ebab9da2ba4ae6549b681cf31aef2bb6562.pdf"], "doi": []}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "2727927c7493cef9785b3a06a38f5c1ce126fc23", "title": "Semi-supervised FusedGAN for Conditional Image Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05551.pdf"], "doi": []}, {"id": "3e832919bf4156dd2c7c191acbbc714535f1d8c2", "title": "LOMIT: LOCAL MASK-BASED IMAGE-TO-IMAGE TRANSLATION VIA PIXEL-WISE HIGHWAY ADAPTIVE INSTANCE NORMALIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3e83/2919bf4156dd2c7c191acbbc714535f1d8c2.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": "b5a369ebcb2e9a8169b71791d77e7a3ad992870f", "title": "Synthesizing Programs for Images using Reinforced Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01118.pdf"], "doi": []}, {"id": "09137e3c267a3414314d1e7e4b0e3a4cae801f45", "title": "Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06078.pdf"], "doi": []}, {"id": "c5102d940cd249df5ffa084a1b8e1bc5a75cd769", "title": "Disentangled Representation Learning for Stylistic Variation in Neural Language Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c510/2d940cd249df5ffa084a1b8e1bc5a75cd769.pdf"], "doi": []}, {"id": "d7fe2a52d0ad915b78330340a8111e0b5a66513a", "title": "Photo-to-Caricature Translation on Faces in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10735.pdf"], "doi": []}, {"id": "ec3eb92b9a56b1fa84b127b8acc980555cd1f2e0", "title": "Channel-Recurrent Variational Autoencoders", "year": "2017", "pdf": [], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "1450296fb936d666f2f11454cc8f0108e2306741", "title": "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05192.pdf"], "doi": []}, {"id": "35800a537017803dd08274710388734db66b54f0", "title": "Sliced Wasserstein Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02631.pdf"], "doi": []}, {"id": "e1740c8a562901ac1b94c78b33c4416500cedebc", "title": "JOINT-VAE: LEARNING DISENTANGLED JOINT CON-", "year": "2018", "pdf": [], "doi": []}, {"id": "f792f75f6d2bf265569d4e63dd139c4d04ec7fdb", "title": "Introspective Neural Networks for Generative Modeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Lazarow_Introspective_Neural_Networks_ICCV_2017_paper.pdf", "http://pages.ucsd.edu/~ztu/publication/iccv17_inng.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237564", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.302", "http://doi.org/10.1109/ICCV.2017.302"]}, {"id": "72a6044a0108e0f8f1e68cd70ada46c81a416324", "title": "Improved Training of Generative Adversarial Networks Using Representative Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09195.pdf"], "doi": []}, {"id": "db0d33590dc15de2d30cf0407b7a26ae79cd51b5", "title": "Deep Probabilistic Modeling of Natural Images using a Pyramid Decomposition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/db0d/33590dc15de2d30cf0407b7a26ae79cd51b5.pdf"], "doi": []}, {"id": "34a4c733bc2b53253dbebe67f1af83b969c2e657", "title": "Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain", "year": "2017", "pdf": [], "doi": []}, {"id": "bb97664df153ac563e46ec2233346129cafe601b", "title": "A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05611.pdf"], "doi": []}, {"id": "2bff9e02dd5d5ccab39ffb024620655166b151b5", "title": "Universite\u0301 de Montre\u0301al Learning to sample from noise with deep generative models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2bff/9e02dd5d5ccab39ffb024620655166b151b5.pdf"], "doi": []}, {"id": "56f5005c4be6f816f6f43795cc4825d798cd53ef", "title": "GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium", "year": "2017", "pdf": [], "doi": []}, {"id": "551b75dd57829b584de5f51b63426efac81018db", "title": "Recision T Raining", "year": "2017", "pdf": [], "doi": []}, {"id": "c074d5a645e1554faf0383282c37af971c5441d8", "title": "Mixture Density Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00152.pdf"], "doi": []}, {"id": "dfcb4773543ee6fbc7d5319b646e0d6168ffa116", "title": "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.04722.pdf"], "doi": []}, {"id": "a47ac8569ab1970740cff9f1643f77e9143a62d4", "title": "Associative Compression Networks for Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02476.pdf"], "doi": []}, {"id": "e0515dc0157a89de48e1120662afdd7fe606b544", "title": "Perception Science in the Age of Deep Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e051/5dc0157a89de48e1120662afdd7fe606b544.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": "a91fd02ed2231ead51078e3e1f055d8be7828d02", "title": "The Robust Manifold Defense: Adversarial Training using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09196.pdf"], "doi": []}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.pdf"], "doi": []}, {"id": "6b2db002cbc5312e4796de4d4b14573df2c01648", "title": "Learning Hierarchical Features from Deep Generative Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6b2d/b002cbc5312e4796de4d4b14573df2c01648.pdf"], "doi": []}, {"id": "26690f2548c6dbf630de202b40dec417b20c9b6c", "title": "Variational Inference of Disentangled Latent Concepts from Unlabeled Observations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00848.pdf"], "doi": []}, {"id": "84c35fc21db3bcd407a4ffb009912b6ac5a47e3c", "title": "MGAN: TRAINING GENERATIVE ADVERSARIAL NETS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/84c3/5fc21db3bcd407a4ffb009912b6ac5a47e3c.pdf"], "doi": []}, {"id": "e9afb44fa1bf048e90d68f755945bc2b81642239", "title": "Data-Driven Geometric Face Image Smilization Featuring Moving Least Square Based Deformation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966747", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.86", "http://doi.org/10.1109/BigMM.2017.86"]}, {"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": "629093211c6ef089fe53680472c147af9af678d4", "title": "SmileNet: Registration-Free Smiling Face Detection In The Wild", "year": "2017", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36405/Jang%20SmileNet%20Registration-Free%202018%20Published.pdf?sequence=1", "https://www.cl.cam.ac.uk/~hg410/JangEtAl_ICCVW2017.pdf", "https://www.repository.cam.ac.uk/bitstream/handle/1810/267848/JangEtAl-ICCVW-2017-final.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265396", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.186", "http://doi.org/10.1109/ICCVW.2017.186"]}, {"id": "92e5708ed3b622ca1f0f6ac28ffd6e789c528cdf", "title": "Adversarial Inversion : Inverse Graphics with Adversarial Priors", "year": "2017", "pdf": [], "doi": []}, {"id": "f580b0e1020ad67bdbb11e8d99a59c21a8df1e7d", "title": "Compressed Sensing using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03208.pdf"], "doi": []}, {"id": "7689d23a22682c92bdf9a1df975fa2cdd24f1b87", "title": "MMD with Kernel Learning In practice we use finite samples from distributions to estimate", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7689/d23a22682c92bdf9a1df975fa2cdd24f1b87.pdf"], "doi": []}, {"id": "2d2102d3fe127444e203a2ab11c2b3d5f56874cc", "title": "Wasserstein Auto-Encoders", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.01558.pdf"], "doi": []}, {"id": "318c4c25d86511690cc5df7b041a6392e8cc4ea8", "title": "Fashion-Gen: The Generative Fashion Dataset and Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08317.pdf"], "doi": []}, {"id": "db1a9b8d8ce9a5696a96f8db4206b6f72707730e", "title": "Cross-Modal Facial Attribute Recognition with Geometric Features", "year": "2017", "pdf": ["https://www.jventura.net/sites/default/files/bradley_hfr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961838", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.127", "http://doi.org/10.1109/FG.2017.127"]}, {"id": "8ea9093542075bd8cc4928a4c671a95f363c61ef", "title": "Sliced-Wasserstein Autoencoder : An Embarrassingly Simple Generative Model", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8ea9/093542075bd8cc4928a4c671a95f363c61ef.pdf"], "doi": []}, {"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": "b7bf1fead0b966de955b33b024fe84866be42695", "title": "C V ] 1 0 N ov 2 01 8 Multi-label Object Attribute Classification using a Convolutional Neural Network", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b7bf/1fead0b966de955b33b024fe84866be42695.pdf"], "doi": []}, {"id": "9a62a3b6894aeadf0043fc42b6419c062ccc66d0", "title": "Neural Joint Source-Channel Coding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07557.pdf"], "doi": []}, {"id": "729405648886d51d441351dc51ee47cfe53bcaf0", "title": "ChainGAN: A sequential approach to GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08081.pdf"], "doi": []}, {"id": "a8895ffa0b60d1456539f1c6bc995bc7c83a9613", "title": "Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/a889/5ffa0b60d1456539f1c6bc995bc7c83a9613.pdf"], "doi": []}, {"id": "4a45b8f8decc178305af06d758ac7428a9070fad", "title": "Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10151.pdf"], "doi": []}, {"id": "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "title": "Neural Face Editing with Intrinsic Image Disentangling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04131.pdf"], "doi": []}, {"id": "2a142bad9ad28ae70ad399b3962d51c16a2d1289", "title": "How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00617.pdf"], "doi": []}, {"id": "c9d7219d54eccb9e49b72044d805e103fe17ba80", "title": "Towards Information-Seeking Agents", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02605.pdf"], "doi": []}, {"id": "b8942497abfc1025b3961d3e62bd326b829b068d", "title": "Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578751"]}, {"id": "2da1a80955df1612766ffdf63916a6a374780161", "title": "Generating steganographic images via adversarial training", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00371.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": "34558af5df236172cd99162057450b81f1ccba1d", "title": "Probabilistic Semantic Inpainting with Pixel Constrained CNNs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03728.pdf"], "doi": []}, {"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": "250449a9827e125d6354f019fc7bc6205c5fd549", "title": "Adversarial Reconstruction Loss", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2504/49a9827e125d6354f019fc7bc6205c5fd549.pdf"], "doi": []}, {"id": "b19f24ec92388513d1516d71292559417c776006", "title": "CAUSALGAN: LEARNING CAUSAL IMPLICIT GENER-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b19f/24ec92388513d1516d71292559417c776006.pdf"], "doi": []}, {"id": "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "title": "Compare and Contrast: Learning Prominent Visual Differences", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00112.pdf"], "doi": []}, {"id": "e37bde2765c0869982c48a7bbd139d0c63246fa6", "title": "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04120.pdf"], "doi": []}, {"id": "189eedfc81ee47b2b44caf8bfe816726697ba421", "title": "Facial Attributes Guided Deep Sketch-to-Photo Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347106", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00006", "http://doi.org/10.1109/WACVW.2018.00006"]}, {"id": "5bbf9a1dd48c9d388f791ed0627f010c3f5b6d64", "title": "Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01833.pdf"], "doi": []}, {"id": "075f0ca63dc0eb24b537125a983c28d61678fb2e", "title": "Diversity Regularized Adversarial Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10824.pdf"], "doi": []}, {"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": "5da53a17165fcc64e8fb6e9ca532bfb6d95ff622", "title": "RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition", "year": "2017", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/rscm_pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7904720", "http://doi.org/10.1109/TIP.2017.2695883", "https://www.ncbi.nlm.nih.gov/pubmed/28436867", "https://www.wikidata.org/entity/Q38823329"]}, {"id": "7b07a87ff71b85f3493d1944034a960917b8482f", "title": "Alternating BackPropagation for Generator Network", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7b07/a87ff71b85f3493d1944034a960917b8482f.pdf"], "doi": []}, {"id": "a9090748223ea0932d075a2eb5615ea48bb24cc0", "title": "On Latent Distributions Without Finite Mean in Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01670.pdf"], "doi": []}, {"id": "120adede81dc6b3bfcb4cd276f0b73cc58a96c1a", "title": "PixelCNN Models with Auxiliary Variables for Natural Image Modeling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08185.pdf"], "doi": []}, {"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": "a66d2c8220d53742ec240ed3e77b8f81a0d72531", "title": "TzK: Flow-Based Conditional Generative Model", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01893.pdf"], "doi": []}, {"id": "5a4a53339068eebd1544b9f430098f2f132f641b", "title": "Hierarchical Disentangled Representations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e3ba/139c5a739f5c27d2cb7e0f93e76daddcee66.pdf"], "doi": []}, {"id": "9941a408ae031d1254bbc0fe7a63fac5f85fe347", "title": "Neural Processes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01622.pdf"], "doi": []}, {"id": "308898a6bcb180f8fde1901a89e8baa213eb4954", "title": "MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08484.pdf"], "doi": []}, {"id": "404c7839afe2fec48a06f83d2a532c05ad8ba0d3", "title": "Vehicle Classification using Transferable Deep Neural Network Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/404c/7839afe2fec48a06f83d2a532c05ad8ba0d3.pdf"], "doi": []}, {"id": "da13a0dbcea87e032acb6b1ce64f7cb778f39612", "title": "Disentangling Disentanglement in Variational Auto-Encoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02833.pdf"], "doi": []}, {"id": "8392640c275cab9bfbf6b35eaf4556618745b118", "title": "Deep Multimodality Model for Multi-task Multi-view Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08723.pdf"], "doi": []}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}, {"id": "cfd37181201c886b591c30869af8c7f39cd7d22f", "title": "Graphical Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03429.pdf"], "doi": []}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "23fd82c04852b74d655015ff0876e6c5defc6e61", "title": "Deep-based Ingredient Recognition for Cooking Recipe Retrieval", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964315"]}, {"id": "784a83437b3dba49c0d7ccc10ac40497b84661a5", "title": "Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Kaneko_Generative_Attribute_Controller_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Kaneko_Generative_Attribute_Controller_2017_CVPR_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100224", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.741", "http://doi.org/10.1109/CVPR.2017.741"]}, {"id": "76cb2ecc96f02b1d8a7a0d1681fbb55367a4b765", "title": "Learning Object States from Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76cb/2ecc96f02b1d8a7a0d1681fbb55367a4b765.pdf"], "doi": []}, {"id": "4d3cbc5799d7963477da279dae9a08ac4d459157", "title": "Deep Learning for Nonlinear Diffractive Imaging", "year": "2018", "pdf": [], "doi": []}, {"id": "619a5c54981238fd9c31300c5a45857338742d32", "title": "An Introduction to Image Synthesis with Generative Adversarial Nets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04469.pdf"], "doi": []}, {"id": "fa60521dabd2b64137392b4885e4d989f4b86430", "title": "Physics-Based Generative Adversarial Models for Image Restoration and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00605.pdf"], "doi": []}, {"id": "a101de23d08350011890f851d4f73ba8f39259c8", "title": "Multi-Task Zipping via Layer-wise Neuron Sharing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09791.pdf"], "doi": []}, {"id": "b8658fc3b17e75afce025bcbb161dd02e7004b1f", "title": "Deep Mesh Projectors for Inverse Problems", "year": "2018", "pdf": [], "doi": []}, {"id": "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "title": "Arbitrary Facial Attribute Editing: Only Change What You Want", "year": "2017", "pdf": [], "doi": []}, {"id": "6baaa8b763cc5553715766e7fbe7abb235fae33c", "title": "Facial Attributes Classification Using Multi-task Representation Learning", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Ehrlich_Facial_Attributes_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789589", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.99", "http://doi.org/10.1109/CVPRW.2016.99"]}, {"id": "7b058f57d40925e255f88648e9bd41c6aaf1c37b", "title": "Virtual Conditional Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09822.pdf"], "doi": []}, {"id": "257e61e6b38ae23b7ddce9907c05b0e78be4d79d", "title": "The LORACs prior for VAEs: Letting the Trees Speak for the Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06891.pdf"], "doi": []}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "58108d7ddb79dcdab8c403f0dea6f239058be0d9", "title": "Improving the Visual Quality of Generative Adversarial Network (GAN)-Generated Images Using the Multi-Scale Structural Similarity Index", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451296"]}, {"id": "544cf61103ac01eacb6d41f4d35ee1cf89167db1", "title": "Assessing Generative Models via Precision and Recall", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00035.pdf"], "doi": []}, {"id": "c86e6ed734d3aa967deae00df003557b6e937d3d", "title": "Generative Adversarial Networks with Decoder-Encoder Output Noise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03923.pdf"], "doi": []}, {"id": "fc3e097ea7dd5daa7d314ecebe7faad9af5e62fb", "title": "Variational Inference and Model Selection with Generalized Evidence Bounds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fc3e/097ea7dd5daa7d314ecebe7faad9af5e62fb.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": "48a62c91794c55aa3a81acaca77de52753a854b0", "title": "Direct Optimization through arg max for Discrete Variational Auto-Encoder", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02867.pdf"], "doi": []}, {"id": "8bddd0afd064e2d45ab6cf9510f2631f7438c17b", "title": "Outlier Detection using Generative Models with Theoretical Performance Guarantees", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11335.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": "66436e96aafa7abd3b0700e8409dbb360775a9b8", "title": "Considering Race a Problem of Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638327"]}, {"id": "a4ee9f089ab9a48a6517a6967281247339a51747", "title": "Resembled Generative Adversarial Networks: Two Domains with Similar Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00947.pdf"], "doi": []}, {"id": "07a8a4b8f207b2db2a19e519027f70cd1c276294", "title": "Pixel Recursive Super Resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00783.pdf"], "doi": []}, {"id": "0700d36427b3a6cb6223a639ffea11570400ab25", "title": "Doing the Best We Can with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16962", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16962/16273"]}, {"id": "21ae4ed57d395aba2158a4f86e93935be66dea20", "title": "Wasserstein Introspective Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578488"]}, {"id": "8d6d0fdf4811bc9572326d12a7edbbba59d2a4cc", "title": "SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02531.pdf"], "doi": []}, {"id": "654ad3b6f7c6de7184a9e8eec724e56274f27e3f", "title": "Alternating Back-Propagation for Generator Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.08571.pdf"], "doi": []}, {"id": "6503c617db449861b96043b2bc892a1b4cb40a95", "title": "Learning the Base Distribution in Implicit Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04357.pdf"], "doi": []}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373846"]}, {"id": "3654e8d4f55df2dd12c0cdc37150a8a989b0bc74", "title": "Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity loss", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3654/e8d4f55df2dd12c0cdc37150a8a989b0bc74.pdf"], "doi": []}, {"id": "e7ad380496ccc2e65486c2158589ca9b009cc386", "title": "Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8492399"]}, {"id": "4b8903b4eb3a60c0fb01c229e3192a5f9159d460", "title": "LOG HYPERBOLIC COSINE LOSS IMPROVES VARIA-", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4b89/03b4eb3a60c0fb01c229e3192a5f9159d460.pdf"], "doi": []}, {"id": "3f6a6050609ba205ec94b8af186a9dca60a8f65e", "title": "Harmonizing Maximum Likelihood with Gans", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3f6a/6050609ba205ec94b8af186a9dca60a8f65e.pdf"], "doi": []}, {"id": "2d42b5915ca18fdc5fa3542bad48981c65f0452b", "title": "Generalization and Equilibrium in Generative Adversarial Nets (GANs)", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00573.pdf"], "doi": []}, {"id": "d50c6d22449cc9170ab868b42f8c72f8d31f9b6c", "title": "Dynamic MultiTask Learning with Convolutional Neural Network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d50c/6d22449cc9170ab868b42f8c72f8d31f9b6c.pdf"], "doi": []}, {"id": "7c2174a02f355a00f1fd5aac6dd62c84a919a2d1", "title": "Normal Residual Blocks Albedo Residual Blocks Light Estimator SH light Normal Conv . Albedo Conv . Conv . Normal Albedo Shading Image Recon", "year": "2017", "pdf": [], "doi": []}, {"id": "a8db91308f59bc9452e87fc553eecea67632c443", "title": "Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation", "year": "2017", "pdf": [], "doi": []}, {"id": "70f3d3d9a7402a0f62a5646a16583c6c58e3b07a", "title": "An Architecture for Deep, Hierarchical Generative Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04739.pdf"], "doi": []}, {"id": "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "title": "Implementing a Robust Explanatory Bias in a Person Re-identification Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575462"]}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "9063b17ccfdf73fc789d01d3c44c451244638528", "title": "Detecting Both Machine and Human Created Fake Face Images In the Wild", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267367"]}, {"id": "485f8b28dcb7a5ffc98beb49fcbb50cf0a0b6331", "title": "A Latent Space Understandable Generative Adversarial Network: SelfExGAN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227390", "http://doi.org/10.1109/DICTA.2017.8227390"]}, {"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": "22d51400424c93eebc136213d51c1aebc9c1f715", "title": "Learning Implicit Generative Models by Teaching Explicit Ones", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03870.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": "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": "53275aea89844c503daf8e4d0864764201def8f3", "title": "Learning deep representations by mutual information estimation and maximization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06670.pdf"], "doi": []}, {"id": "e7263a21c0bf2c146e1b8a13b8ad518286a55159", "title": "Model Cards for Model Reporting", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287596"]}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "40a63746a710baf4a694fd5a4dd8b5a3d9fc2846", "title": "Invertible Conditional GANs for image editing", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06355.pdf"], "doi": []}, {"id": "b1ffd13e8f68401a603eea9806bc37e396a3c77d", "title": "Face Generation with Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b1ff/d13e8f68401a603eea9806bc37e396a3c77d.pdf"], "doi": []}, {"id": "788a3faa14ca191d7f187b812047190a70798428", "title": "Interpretable Set Functions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00050.pdf"], "doi": []}, {"id": "0677dd5377895b3c61cea0e6a143f38b84f1ebd7", "title": "Multimedia super-resolution via deep learning: A survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.09077.pdf"], "doi": []}, {"id": "e8c6853135856515fc88fff7c55737a292b0a15b", "title": "BoxFlow: Unsupervised Face Detector Adaptation from Images to Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961758", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.46", "http://doi.org/10.1109/FG.2017.46"]}, {"id": "12417ed7ae81fb4e6c07f501ace9ea463349481b", "title": "Pairwise Augmented GANs with Adversarial Reconstruction Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04920.pdf"], "doi": []}, {"id": "cc4bc9f3df2d1395bb2eed084c01aa7c40975cf0", "title": "Unsupervised learning of object frames by dense equivariant image labelling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02932.pdf"], "doi": []}, {"id": "b22b4817757778bdca5b792277128a7db8206d08", "title": "SCAN: Learning Hierarchical Compositional Visual Concepts", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.03389.pdf"], "doi": []}, {"id": "8783bb81f31d66d824f36c6fb6dd2b6b3c0f2021", "title": "Unsupervised Discovery of Object Landmarks as Structural Representations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578383"]}, {"id": "bc17c2075d7f7bc414acc00a88ff5a464eedaebe", "title": "Solving Bilinear Inverse Problems using Deep Generative Priors", "year": "2018", "pdf": [], "doi": []}, {"id": "6066e13aea80f64b6ad1415cfc3839c1f8590c04", "title": "Grouping-By-ID : Guarding Against Adversarial Domain Shifts", "year": "2017", "pdf": [], "doi": []}, {"id": "f1aa120fb720f6cfaab13aea4b8379275e6d40a2", "title": "InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f1aa/120fb720f6cfaab13aea4b8379275e6d40a2.pdf"], "doi": []}, {"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": "91ddd01e983336731dce6640d66242409e6d5430", "title": "High-Resolution Deep Convolutional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06491.pdf"], "doi": []}, {"id": "14defe2727fa6793132b6c419ff2ebc97a765a7c", "title": "Complex-Valued Neural Networks for Privacy Protection", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09546.pdf"], "doi": []}, {"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": "fa32b29e627086d4302db4d30c07a9d11dcd6b84", "title": "Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network", "year": "2018", "pdf": ["http://www.public.asu.edu/~swang187/publications/WACV18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354123", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00019", "http://doi.org/10.1109/WACV.2018.00019"]}, {"id": "69c8b0ec77d3164df2069a5133780a36ec8e91ad", "title": "Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09312.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": "d5cf6a02f8308e948e3bcd1fd1ca660ea8ea8921", "title": "G ENERATIVE NETWORKS AS INVERSE PROBLEMS WITH SCATTERING TRANSFORMS", "year": "", "pdf": ["https://pdfs.semanticscholar.org/d5cf/6a02f8308e948e3bcd1fd1ca660ea8ea8921.pdf"], "doi": []}, {"id": "6789bddbabf234f31df992a3356b36a47451efc7", "title": "Unsupervised Generation of Free-Form and Parameterized Avatars.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6789/bddbabf234f31df992a3356b36a47451efc7.pdf"], "doi": []}, {"id": "8818dafda0cf230731ac2f962d8591c89a9fac09", "title": "xGEMs: Generating Examplars to Explain Black-Box Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08867.pdf"], "doi": []}, {"id": "cfcf66e4b22dc7671a5941e94e9d4afae75ba2f8", "title": "The Cramer Distance as a Solution to Biased Wasserstein Gradients", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10743.pdf"], "doi": []}, {"id": "bb9a697548b8f3f9f2211228a907a8763d2a7845", "title": "Neural Proximal Gradient Descent for Compressive Imaging", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03963.pdf"], "doi": []}, {"id": "eef29a4fef85c7ed8acde9ca42f8f09d944f361d", "title": "Learning to Super-Resolve Blurry Face and Text Images", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv2017_gan_super_deblur.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Xu_Learning_to_Super-Resolve_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237298", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.36", "http://doi.org/10.1109/ICCV.2017.36"]}, {"id": "4fec382efed4e08a36fafa3710b97f0b20de1ebe", "title": "BINARIZED REPRESENTATION ENTROPY (BRE) REGULARIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4fec/382efed4e08a36fafa3710b97f0b20de1ebe.pdf"], "doi": []}, {"id": "799322fc525964889afbfde27db1fcef9feb3d61", "title": "Training Deep Neural Network in Limited Precision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05486.pdf"], "doi": []}, {"id": "8699268ee81a7472a0807c1d3b1db0d0ab05f40d", "title": "Channel-Recurrent Autoencoding for Image Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03729.pdf"], "doi": []}, {"id": "31996925c87d8306401a970fe10e4c0f9123d2a5", "title": "Disentangling Latent Factors with Whitening", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03444.pdf"], "doi": []}, {"id": "cfcb4d0d9ba7eb86f068c4fe0f9e6676a37481bc", "title": "Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Di_Max-Boost-GAN_Max_Operation_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265349", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.140", "http://doi.org/10.1109/ICCVW.2017.140"]}, {"id": "912475e1be5c327ab25eda51d77de141ac5f4ea7", "title": "Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578714"]}, {"id": "4e97b53926d997f451139f74ec1601bbef125599", "title": "Discriminative Regularization for Generative Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03220.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": "1c44b632bcd6494f4cfc41c70ed53d93f72473cc", "title": "Generative Temporal Models with Spatial Memory for Partially Observed Environments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09401.pdf"], "doi": []}, {"id": "b4282699ac8fcaba118afae76aaf72bc97505fb3", "title": "First Order Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04591.pdf"], "doi": []}, {"id": "008150576e5fa29fdf22d863605a261808800dc6", "title": "SMIT: Stochastic Multi-Label Image-to-Image Translation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03704.pdf"], "doi": []}, {"id": "76b11c281ac47fe6d95e124673a408ee9eb568e3", "title": "Real-time Multi View Face Detection and Pose Estimation Aishwarya", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76b1/1c281ac47fe6d95e124673a408ee9eb568e3.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "251179381afd4f65ab59ddbd8cd37e24d439d140", "title": "Hierarchical Adversarially Learned Inference", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01071.pdf"], "doi": []}, {"id": "0ac54252eab1ac7641e03bc9b7344e2064e06405", "title": "A Spectral Regularizer for Unsupervised Disentanglement", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01161.pdf"], "doi": []}, {"id": "04fd269c96f11235fbbb985bb16dacedaa3098fd", "title": "Guarding Against Adversarial Domain Shifts with Counterfactual Regularization", "year": "2017", "pdf": [], "doi": []}, {"id": "edab5891f057dd9222f92331cdd8c72a41390650", "title": "Metropolis-Hastings Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11357.pdf"], "doi": []}, {"id": "48bc87ccc6b6e2d318f91d5f1886432806fec553", "title": "Multiaccuracy: Black-Box Post-Processing for Fairness in Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12317.pdf"], "doi": []}, {"id": "641fd2edcf93fa29181952356e93a83a26012aa2", "title": "Following are some examples from CIFAR dataset : Goal : To alter the training criteria to obtain \u2018 objectness \u2019 in the synthesis of images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/424a/f8e96c76de69153a0d528cf7d41d5c69a1a1.pdf"], "doi": []}, {"id": "9baf0509f63a3322d127ae4374aa5b0f9d5439b8", "title": "Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs", "year": "2017", "pdf": [], "doi": []}, {"id": "833cd4265bd8162d3cfb483ce8f31eaef28e7a2e", "title": "TOWARDS EFFECTIVE GANS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/833c/d4265bd8162d3cfb483ce8f31eaef28e7a2e.pdf"], "doi": []}, {"id": "15aa6c457678e25f6bc0e818e5fc39e42dd8e533", "title": "Conditional Image Generation for Learning the Structure of Visual Objects", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07823.pdf"], "doi": []}, {"id": "91e9e19a06614197b5431410cecd29762223e04e", "title": "Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00077.pdf"], "doi": []}, {"id": "389b2390fd310c9070e72563181547cf23dceea3", "title": "\u03b2-VAE : L EARNING B ASIC", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/389b/2390fd310c9070e72563181547cf23dceea3.pdf"], "doi": []}, {"id": "a398fcb30b49bee32d8f2c4cd3939517cd262025", "title": "Generative Adversarial Style Transfer Networks for Face Aging", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Palsson_Generative_Adversarial_Style_CVPR_2018_paper.pdf", "http://www.vision.ee.ethz.ch/~aeirikur/generative-adversarial-style.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Palsson-CVPRW-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575452", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00282", "http://doi.org/10.1109/CVPRW.2018.00282"]}, {"id": "e51d170dd4119ae1464c01fbb14e04e0ce8b3025", "title": "Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00415.pdf"], "doi": []}, {"id": "e23ed8642a719ff1ab08799257d9566ed3bba403", "title": "Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09798.pdf"], "doi": []}, {"id": "f89e5a8800b318fa03289b5cc67df54b956875b4", "title": "Do GANs actually learn the distribution? An empirical study", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08224.pdf"], "doi": []}, {"id": "45824905119ec09447d60e1809434062d5f4c1e4", "title": "Detecting Smiles of Young Children via Deep Transfer Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Xia_Detecting_Smiles_of_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265406", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.196", "http://doi.org/10.1109/ICCVW.2017.196"]}, {"id": "4b850dbf3c818dc287f27f144f870b4f0b08ef09", "title": "Training Generative Reversible Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01610.pdf"], "doi": []}, {"id": "97eabf253570f1fda79a0e217a7bbdb5aec871da", "title": "Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10895.pdf"], "doi": []}, {"id": "fafd0d7dd9c845960bfdc90d87066bdb14d4e3ab", "title": "Disentangling by Factorising", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05983.pdf"], "doi": []}, {"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": "b2504b0b2a7e06eab02a3584dd46d94a3f05ffdf", "title": "Conditional Neural Processes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01613.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "16f48e8b7f1f6c03c888e3f4664ce3fa1261296b", "title": "Steganographic Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05502.pdf"], "doi": []}, {"id": "60bc358296ae11ac8f11286bba0a49ac7e797d26", "title": "Diverse Image-to-Image Translation via Disentangled Representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00948.pdf"], "doi": []}, {"id": "d80564cea654d11b52c0008891a0fd2988112049", "title": "Semi-supervised Conditional GANs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.05789.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": "e3582dffe5f3466cc5bc9d736934306c551ab33c", "title": "AttGAN: Facial Attribute Editing by Only Changing What You Want", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10678.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": "16554e854f1dd6964883d929ef34eb4c1f04e072", "title": "ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579083"]}, {"id": "f79da1632565f10ba4feac93fbb1aa521ba09015", "title": "Performance Evaluation of Image and Video Cloud Services", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622864"]}, {"id": "2cc9e70cd4664533af9bf34b2da7a1c2694616f8", "title": "Tempered Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04374.pdf"], "doi": []}, {"id": "646030fe70672299b099adede5c446115826f4f6", "title": "Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575554"]}, {"id": "6f9873e2a7bc279c4f0a45c1a6e831ef3ba78ae7", "title": "Improving GAN Training via Binarized Representation Entropy (BRE) Regularization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03644.pdf"], "doi": []}, {"id": "6b327af674145a34597986ec60f2a49cff7ed155", "title": "Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.06605.pdf"], "doi": []}, {"id": "ec2027c2dd93e4ee8316cc0b3069e8abfdcc2ecf", "title": "Latent Variable PixelCNNs for Natural Image Modeling", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/252c/2e5e59d7b08887095b272d19dcd76fcf4a82.pdf"], "doi": []}, {"id": "5fd147f57fc087b35650f7f3891d457e4c745d48", "title": "Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08819.pdf"], "doi": []}, {"id": "4273c24df71ec59c0c1cad95342d01cf53bb7d8d", "title": "StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579014"]}, {"id": "bc995457cf5f4b2b5ef62106856571588d7d70f2", "title": "Comparison of Maximum Likelihood and GAN-based training of Real NVPs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05263.pdf"], "doi": []}, {"id": "9aab33ce8d6786b3b77900a9b25f5f4577cea461", "title": "Automatic Semantic Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961739", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.31", "http://doi.org/10.1109/FG.2017.31"]}, {"id": "147b7998526ebbdf64b1662503b378d9f6456ccd", "title": "GENERATIVE ADVERSARIAL NETWORKS FOR IMAGE STEGANOGRAPHY", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/147b/7998526ebbdf64b1662503b378d9f6456ccd.pdf"], "doi": []}, {"id": "065c54829a8d2511adc9122ad183be97ada7a7bc", "title": "Attribute Augmented Convolutional Neural Network for Face Hallucination", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575266"]}, {"id": "341de07abfb89bf78f3a72513c8bce40d654e0a3", "title": "Sparse and Deep Generalizations of the FRAME Model", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d54/360c1eb3c7f3485ee450e7979aef7ec8019e.pdf"], "doi": []}, {"id": "a9df9f3500d518b1eaa2c450d5cc3b2b8437dd67", "title": "Sliced Wasserstein Distance for Learning Gaussian Mixture Models", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578459"]}, {"id": "81d67fa2f5eb76c9b0afb2d887e95ba78b6e46c9", "title": "Learning Implicit Generative Models with the Method of Learned Moments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11006.pdf"], "doi": []}, {"id": "0ae192e146431a52d7bb51923e9bdd7292ab12ef", "title": "Multi-Generator Generative Adversarial Nets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02556.pdf"], "doi": []}, {"id": "ff3401d410fe89771be0f528170c4990397c264c", "title": "Structured Uncertainty Prediction Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578672"]}, {"id": "c6437e7fb44f13a5ff610c9daf8fa7ce4a6c1ec3", "title": "The Riemannian Geometry of Deep Generative Models", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575533"]}, {"id": "b4c80df27276660522f8901aa90c129c15611821", "title": "On Detecting Domestic Abuse via Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575463"]}, {"id": "fe030b87e3c985c9dedab130949e2868e3e5e7d5", "title": "Explaining Neural Networks Semantically", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe03/0b87e3c985c9dedab130949e2868e3e5e7d5.pdf"], "doi": []}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "62b90583723174220b26c92bd67f6c422ad75570", "title": "DNA-GAN: LEARNING DISENTANGLED REPRESEN-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62b9/0583723174220b26c92bd67f6c422ad75570.pdf"], "doi": []}, {"id": "a34e5c66bd553d8a75e13084fb7a81217c21e33b", "title": "Attributes as Operators: Factorizing Unseen Attribute-Object Compositions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09851.pdf"], "doi": []}, {"id": "fd4537b92ab9fa7c653e9e5b9c4f815914a498c0", "title": "One-Sided Unsupervised Domain Mapping", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00826.pdf"], "doi": []}, {"id": "2780f8fc25320f4fb258442ceb790ffe301730fe", "title": "Generative Reversible Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "fac36fa1b809b71756c259f2c5db20add0cb0da0", "title": "Transferring GANs: Generating Images from Limited Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01677.pdf"], "doi": []}, {"id": "d2860bb05f747e4628e95e4d84018263831bab0d", "title": "Learning to Generate Samples from Noise through Infusion Training", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06975.pdf"], "doi": []}, {"id": "80a3ad65623a286c11881b542e3262ebb2733219", "title": "Blind Image Deconvolution using Deep Generative Priors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04073.pdf"], "doi": []}, {"id": "18ec3b37a33db39ac0633677e944cc81be58f7ba", "title": "Cooperative Training of Descriptor and Generator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09408.pdf"], "doi": []}, {"id": "556ca2389246b0a848b578dc824b930e1337a4bc", "title": "Tri-axial Self-Attention for Concurrent Activity Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02817.pdf"], "doi": []}, {"id": "d5c4e3c101041556e00b25c0dcb09716827ed5b3", "title": "Unsupervised Image-to-Image Translation with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02676.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "1ec59aece51a698bce34f393cf6474b926fd89ad", "title": "Exemplar Guided Unsupervised Image-to-Image Translation", "year": "2018", "pdf": [], "doi": []}, {"id": "8d9067da4ba5c57643ee7a84cd5c5d5674384937", "title": "Sorting out Lipschitz function approximation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05381.pdf"], "doi": []}, {"id": "0ab07d0d6cf8d417e695a43ef4b88bf70b68213a", "title": "Adversarial Learning with Local Coordinate Coding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04895.pdf"], "doi": []}, {"id": "ff83aade985b981fbf2233efbbd749600e97454c", "title": "Towards Understanding Adversarial Learning for Joint Distribution Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01215.pdf"], "doi": []}, {"id": "64a5f474014e3924d3f04c8b44d6a8ed8f6c82da", "title": "Changing the Image Memorability: From Basic Photo Editing to GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03825.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "4a5bd1f2935f9a3c33f1a103a1d43377e61265a0", "title": "Conditional Image-to-Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578677"]}, {"id": "9f723469b6634a7d08d3b888e23421e873c95617", "title": "Generative Image Inpainting with Contextual Attention", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578675"]}, {"id": "fa3a1b77c105f40199de835a75b4b232ac332f71", "title": "Variational learning across domains with triplet information", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08672.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "6f900e683ea1fc85825a403d1ba2df7875f35bb9", "title": "Joint-VAE: Learning Disentangled Joint Continuous and Discrete Representations", "year": "2018", "pdf": [], "doi": []}, {"id": "7c0c9ab92d49941089979c1e344fe66efc873bdd", "title": "Generative Adversarial Examples", "year": "2018", "pdf": [], "doi": []}, {"id": "d98a36081a434451184fa4becb59bf5ec55f3a1e", "title": "Computational face reader based on facial attribute estimation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.110"]}, {"id": "4131aa28d640d17e1d63ca82e55cc0b280db0737", "title": "COULOMB GANS: PROVABLY OPTIMAL NASH EQUI-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/827c/08151b92dbf8fa307c4e5928340d7294bcff.pdf"], "doi": []}, {"id": "4cb48924acdcc0b20ef05ea5f5e856b081d9b40f", "title": "A Classification-Based Study of Covariate Shift in GAN Distributions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00970.pdf"], "doi": []}, {"id": "e4fb693d8b2755b8e989e0c59b28db3c75591503", "title": "Classification of E-Commerce-Related Images Using Hierarchical Classification with Deep Neural Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8278089"]}, {"id": "9fb372fd2fb79571de1cc388154d4a3f0547d440", "title": "PBGAN: Partial Binarization of Deconvolution Based Generators", "year": "2018", "pdf": [], "doi": []}, {"id": "99f565df31ef710a2d8a1b606e3b7f5f92ab657c", "title": "Geometry Score: A Method For Comparing Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02664.pdf"], "doi": []}, {"id": "2786a595741c0bdbedbc0e3cc2e4174f784ac776", "title": "Distribution Matching in Variational Inference", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06847.pdf"], "doi": []}, {"id": "96390f95a73a6bd495728b6cd2a97554ef187f76", "title": "Pan Olympus : Sensor Privacy through Utility Aware", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9639/0f95a73a6bd495728b6cd2a97554ef187f76.pdf"], "doi": []}, {"id": "d81dbc2960e527e91c066102aabdaf9eb8b15f85", "title": "Deep Directed Generative Models with Energy-Based Probability Estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03439.pdf"], "doi": []}, {"id": "8a3bf4d403a39ed33f0fa8cf78dc906d6130595f", "title": "Semantic Image Inpainting with Deep Generative Models", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100211"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "7804949c133d7308d828a94a7944d47c1f0ffe67", "title": "Detection of Deep Network Generated Images Using Disparities in Color Components", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07276.pdf"], "doi": []}, {"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": "cf65c2df432cd9dc9e29aca55da4f49d9cafe961", "title": "Spatial Fusion GAN for Image Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05840.pdf"], "doi": []}, {"id": "6903496ee5d4c24ca5f3f18211f406e0ba8442d6", "title": "Multi-Mapping Image-to-Image Translation with Central Biasing Normalization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10050.pdf"], "doi": []}, {"id": "2b507f659b341ed0f23106446de8e4322f4a3f7e", "title": "Deep Identity-aware Transfer of Facial Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05586.pdf"], "doi": []}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "9d8978ee319d671283a90761aaed150c7cc9154b", "title": "Fader Networks: Manipulating Images by Sliding Attributes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00409.pdf"], "doi": []}, {"id": "d3d887aebeeae44cefd5c2bdbb388d9ce109e335", "title": "Image Manipulation with Perceptual Discriminators", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01396.pdf"], "doi": []}, {"id": "0a02184707247a79a236a03f85ab35d99a68be33", "title": "Bidirectional Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07461.pdf"], "doi": []}, {"id": "c231d8638e8b5292c479d20f7dd387c53e581a1a", "title": "Multi-View Data Generation Without View Supervision", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00305.pdf"], "doi": []}, {"id": "8326d3e57796dad294ab1c14a0688221550098b6", "title": "ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8326/d3e57796dad294ab1c14a0688221550098b6.pdf"], "doi": []}, {"id": "40c3f90f0abf842ee6f6009c414fde4f86b82005", "title": "Synchronization Detection and Recovery of Steganographic Messages with Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.10365.pdf"], "doi": []}, {"id": "c64a45c2ce84c86e67cf22429d78432aa138317c", "title": "Spatiotemporal Data Fusion for Precipitation Nowcasting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10915.pdf"], "doi": []}, {"id": "174ddb6379b91a0e799e9988d0e522a5af18f91d", "title": "ChatPainter: Improving Text to Image Generation using Dialogue", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08216.pdf"], "doi": []}, {"id": "f83d1726f7a4e164027a3fa44cfe842640907d35", "title": "A Factorial Mixture Prior for Compositional Deep Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07480.pdf"], "doi": []}, {"id": "907fbe706ec14101978a63c6252e0d75e657e8dd", "title": "The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00043.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": "79815f31f42708fd59da345f8fa79f635a070730", "title": "Autoregressive Quantile Networks for Generative Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05575.pdf"], "doi": []}, {"id": "442ee5a3f51ca93a642c20fa69326f3b17367565", "title": "Detection of rail surface defects based on CNN image recognition and classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8323642"]}, {"id": "a7e5a46e47dd21cc9347b913dd3dde2f0ad832ed", "title": "On denoising autoencoders trained to minimise binary cross-entropy", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08487.pdf"], "doi": []}, {"id": "d1697250de6f91d3a3266c1ff0fdce0bf96acfe3", "title": "A C Lassification \u2013 B Ased P Erspective on Gan D Istributions", "year": "2017", "pdf": [], "doi": []}, {"id": "7695ad05116bfdf9a6d106b3ea356a37d41a7c0a", "title": "Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09206.pdf"], "doi": []}, {"id": "ea94d834f912f092618d030f080de8395fe39b3f", "title": "Joint autoencoders : a flexible meta-learning framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3027/8a460e2936596b671d20599f2598c4d284ed.pdf"], "doi": []}, {"id": "7da7678882d06a1f93636f58fe89635da5b1dd0c", "title": "EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.07919.pdf"], "doi": []}, {"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": "de60ee528db713d264ffea870b33f8be054fb8c7", "title": "A Classification-Based Perspective on GAN Distributions", "year": "2017", "pdf": [], "doi": []}, {"id": "2d6d4899c892346a9bc8902481212d7553f1bda4", "title": "Neural Face Editing with Intrinsic Image Disentangling SUPPLEMENTARY MATERIAL", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2d6d/4899c892346a9bc8902481212d7553f1bda4.pdf"], "doi": []}, {"id": "43a2c871450ba4d8888e8692aa98cb10e861ea71", "title": "Learning Generative ConvNet with Continuous Latent Factors by Alternating Back-Propagation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/43a2/c871450ba4d8888e8692aa98cb10e861ea71.pdf"], "doi": []}, {"id": "e0f828376631b362aa550246c73d85e354126fed", "title": "Disentangling Factors of Variation by Mixing Them", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578456"]}, {"id": "2829c069ff0e6b6e8bcb904c2ba61279434f7980", "title": "NECST: Neural Joint Source-Channel Coding", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bd17/d6ba5525dec8762dbaacf6cc3e0cc3f5ff90.pdf"], "doi": []}, {"id": "1dd3faf5488751c9de10977528ab96be24616138", "title": "Detecting Anomalous Faces with 'No Peeking' Autoencoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05798.pdf"], "doi": []}, {"id": "65ec52a3e0a0f6a46fd140ff83bb82d7d02a2d45", "title": "Learning Hierarchical Features from Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08396.pdf"], "doi": []}, {"id": "9557da53ddb8a122281f92a17a2a816acde1b3d8", "title": "Do GAN Loss Functions Really Matter?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09567.pdf"], "doi": []}, {"id": "2a417a16473e2bcb1c98cd7814bc106760925e60", "title": "Image Inpainting for Irregular Holes Using Partial Convolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07723.pdf"], "doi": []}, {"id": "d87ccfc42cf6a72821d357aab0990e946918350b", "title": "Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00370.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": "c86afba9c77a9b1085ccc6c44c36fa3a1fdb51c5", "title": "New Losses for Generative Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01290.pdf"], "doi": []}, {"id": "82821e227683d66543a303f4faddc1376a91a463", "title": "Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8282/1e227683d66543a303f4faddc1376a91a463.pdf"], "doi": []}, {"id": "84e9de36dd7915f9334db5cc1fe567e17d717495", "title": "Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.07397.pdf"], "doi": []}, {"id": "f00dd1f092ad93d659070a8e77f00b5902ec74b4", "title": "Inferencing based on unsupervised learning of disentangled representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02627.pdf"], "doi": []}, {"id": "56bc524d7cc1ff2fad8f27c0414cac437fc2b4f0", "title": "Protest Activity Detection and Perceived Violence Estimation from Social Media Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06204.pdf"], "doi": []}, {"id": "02a97d3cd6c57636ef6f1bb9e3171e832ff8d307", "title": "A Hierarchical Grocery Store Image Dataset With Visual and Semantic Labels", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658240"]}, {"id": "4d91926b9291fd4542547f5e974be8c82cf6c822", "title": "A BIOLOGICALLY INSPIRED VISUAL WORKING MEMORY", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e22c/f1ca10c11991c2a43007e37ca652d8f0d814.pdf"], "doi": []}, {"id": "0217fb2a54a4f324ddf82babc6ec6692a3f6194f", "title": "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03657.pdf"], "doi": []}, {"id": "471908e99d6965f0f6d249c9cd013485dc2b21df", "title": "Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.08446.pdf"], "doi": []}, {"id": "c8855bebdaa985dfc4c1a07e5f74a0e29787e47e", "title": "Multi-label Object Attribute Classification using a Convolutional Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04309.pdf"], "doi": []}, {"id": "486ee9d420fd1eba1006221d3d61931563bc4115", "title": "Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579022"]}, {"id": "6a20f975eb253503bba46a421275d46cf74ee1b9", "title": "Context Embedding Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579003"]}, {"id": "4a57999570a812795a93a6f9395058f575a0e531", "title": "Constraint-Based Visual Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09202.pdf"], "doi": []}, {"id": "4ed0be0b5d67cff63461ba79f2a7928d652cf310", "title": "Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00553.pdf"], "doi": []}, {"id": "e21c45b14d75545d40ed07896f26ec6f766f6a4b", "title": "Fisher GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09675.pdf"], "doi": []}, {"id": "ba60b642a558858325f50d38a345b6bb85114ce1", "title": "Imbalanced Deep Learning by Minority Class Incremental Rectification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10851.pdf"], "doi": []}, {"id": "1bf0c7bb20266e307b122bf785eeb76163bcef07", "title": "A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04261.pdf"], "doi": []}, {"id": "b362b812ececef21100d7a702447fcf5ab6d4715", "title": "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07543.pdf"], "doi": []}, {"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": "33150902d90e9e5917418da0e91c05d062fa8e05", "title": "Task-Aware Compressed Sensing With Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01284.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": "8dbf8f3ccf67500b1bfa5cec7225801bcf5cd1be", "title": "Which is the Better Inpainted Image?Training Data Generation Without Any Manual Operations", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1132-0"]}, {"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": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961738", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.30", "http://doi.org/10.1109/FG.2017.30"]}, {"id": "bea185a15d5df7bbfce83bc684c316412703efbb", "title": "PIXELNN: EXAMPLE-BASED IMAGE SYNTHESIS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/bea1/85a15d5df7bbfce83bc684c316412703efbb.pdf"], "doi": []}, {"id": "8681d139d86266642ff5008da05a1b30489fa29f", "title": "Relevance Factor VAE: Learning and Identifying Disentangled Factors", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01568.pdf"], "doi": []}, {"id": "3bf154166f149669ae6bbb2c265c6ced4992f3d4", "title": "Invertibility of Convolutional Generative Networks from Partial Measurements", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3bf1/54166f149669ae6bbb2c265c6ced4992f3d4.pdf"], "doi": []}, {"id": "66e57fe8d2bf08b5783d333c1870591b23008850", "title": "Nonlinear 3D Face Morphable Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578865"]}, {"id": "ab3b196c5386f7ec2d05870eeb8872c8b8e33d77", "title": "Unconditional Generative Models", "year": "2017", "pdf": [], "doi": []}, {"id": "501bc80334fd6e429d6fa2da7c81ecb1f03580b6", "title": "SGAN: An Alternative Training of Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579078"]}, {"id": "af6af58ba12920762638e1d0b8310a0d9961b7be", "title": "Sketch-to-Image Generation Using Deep Contextual Completion", "year": "2017", "pdf": [], "doi": []}, {"id": "7d8b1aab662186af200ba581573809452c9c2584", "title": "A Convex Duality Framework for GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11740.pdf"], "doi": []}, {"id": "e58f08ad6e0edd567f217ef08de1701a8c29fcc8", "title": "Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04062.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": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.pdf"], "doi": []}, {"id": "98aa23924e224f6e6cab043fa363f10f4d473c7d", "title": "Compressed Sensing with Deep Image Prior and Learned Regularization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06438.pdf"], "doi": []}, {"id": "a75ee7f4c4130ef36d21582d5758f953dba03a01", "title": "Human face attributes prediction with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a75e/e7f4c4130ef36d21582d5758f953dba03a01.pdf"], "doi": []}, {"id": "b23254b32e36e7d9782b7a076d6ad7b475d56c45", "title": "Generative Adversarial Image Synthesis with Decision Tree Latent Controller", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578789"]}, {"id": "14a022a3eb8cc9681b1ab075650d462788de1fa0", "title": "GANs for Biological Image Synthesis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04692.pdf"], "doi": []}, {"id": "9cc4abd2ec10e5fa94ff846c5ee27377caf17cf0", "title": "Improved Techniques for GAN based Facial Inpainting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08774.pdf"], "doi": []}, {"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": "eb72dcf0ba423d0e12d63cd7881f2ac5dfda7984", "title": "Associative Compression Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "e68ef9597613cd2b6cf76e81c13eb061ee468485", "title": "Latent Convolutional Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06284.pdf"], "doi": []}, {"id": "42f8ef9d5ebf969a7e2b4d1eef4b332db562e5d4", "title": "Which Training Methods for GANs do actually Converge?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.04406.pdf"], "doi": []}, {"id": "9eef060f351d2a107bd7eb5b49d67653a4ffa38b", "title": "Attribute-correlated local regions for deep relative attributes learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f88/d3189723669f957d83ad542ac5c2341c37a5.pdf"], "doi": []}, {"id": "79fc3c10ce0d0f48b25c8cf460048087c97e2e90", "title": "Variational Bi-domain Triplet Autoencoder", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08672.pdf"], "doi": []}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/cofw.json b/site/datasets/unknown/cofw.json
index f619ef01..38458a56 100644
--- a/site/datasets/unknown/cofw.json
+++ b/site/datasets/unknown/cofw.json
@@ -1 +1 @@
-{"id": "2724ba85ec4a66de18da33925e537f3902f21249", "citations": [{"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": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "77ef2ccd6a1a3f7ee590c688e841ed78d892d4dd", "title": "A walk through randomness for face analysis in unconstrained environments. (Etude des m\u00e9thodes al\u00e9atoires pour l'analyse de visage en environnement non contraint)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/77ef/2ccd6a1a3f7ee590c688e841ed78d892d4dd.pdf"], "doi": []}, {"id": "37278ffce3a0fe2c2bbf6232e805dd3f5267eba3", "title": "Can we still avoid automatic face detection?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04504.pdf"], "doi": []}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "74156a11c2997517061df5629be78428e1f09cbd", "title": "Preparatory coordination of head, eyes and hands: Experimental study at intersections", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/MartinRangeshTrivediICPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900057", "http://doi.org/10.1109/ICPR.2016.7900057"]}, {"id": "1e8fd77d4717e9cb6079e10771dd2ed772098cb3", "title": "Wearable social camera: Egocentric video summarization for social interaction", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7574681", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2016.7574681", "http://doi.org/10.1109/ICMEW.2016.7574681"]}, {"id": "53e081f5af505374c3b8491e9c4470fe77fe7934", "title": "Unconstrained realtime facial performance capture", "year": "2015", "pdf": ["http://www.cs.ubc.ca/~chyma/publications/ur/2015_ur_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_062.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_062_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hsieh_Unconstrained_Realtime_Facial_2015_CVPR_paper.pdf", "http://www.hao-li.com/publications/papers/cvpr2015URFPC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298776", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298776", "http://doi.org/10.1109/CVPR.2015.7298776"]}, {"id": "b3b802a883fd9f796ca4f056b1529ffaea863ba9", "title": "On effective human robot interaction based on recognition and association", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07100.pdf"], "doi": []}, {"id": "3c086601ce0bac61047b5b931b253bd4035e1e7a", "title": "Occlusion handling in feature point tracking using ranked parts based models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350897", "http://doi.org/10.1109/ICIP.2015.7350897"]}, {"id": "4f742c09ce12859b20deaa372c8f1575acfc99c9", "title": "How do you smile? Towards a comprehensive smile analysis system", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.01.020"]}, {"id": "5aafca76dbbbbaefd82f5f0265776afb5320dafe", "title": "Empirical analysis of cascade deformable models for multi-view face detection", "year": "2015", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_empirical_analysis_of_cascade_deformable_models_for_multi-view_face_detection.pdf", "http://doc.utwente.nl/95219/1/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://eprints.eemcs.utwente.nl/24551/01/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/jorozco_imavis_2015.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.07.002"]}, {"id": "195d331c958f2da3431f37a344559f9bce09c0f7", "title": "Parsing occluded people by flexible compositions", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1526.pdf"], "doi": []}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "427cf6528901d7fd5e5acfe4175ef809ed8ee7fa", "title": "SDM-Based Means of Gradient for Eye Center Localization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8511989", "http://doi.org/10.1109/DASC%2FPiCom%2FDataCom%2FCyberSciTec.2018.00-17", "https://doi.org/10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00-17"]}, {"id": "05f3744c2d272910fad0adc3a5fd9e919e005150", "title": "Head pose recovery and shape estimation in still images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bac7/5e1997d248dbd1b12e8b37bb663232687d4a.pdf"], "doi": []}, {"id": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406479", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.130", "http://doi.org/10.1109/ICCVW.2015.130"]}, {"id": "9391618c09a51f72a1c30b2e890f4fac1f595ebd", "title": "Globally Tuned Cascade Pose Regression via Back Propagation with Application in 2D Face Pose Estimation and Heart Segmentation in 3D CT Images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.08843.pdf"], "doi": []}, {"id": "9c36256275e21cc6103e92414aab35cba1c61a0a", "title": "Patch Classifier of Face Shape Outline Using Gray-Value Variance with Bilinear Interpolation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9c36/256275e21cc6103e92414aab35cba1c61a0a.pdf"], "doi": []}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "1fef53b07c6c625545fc071c7386d41f87925675", "title": "A rule-based methodology and assessment for context-aware privacy", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981839"]}, {"id": "a9116f261c1b6ca543cba3ee95f846ef3934efad", "title": "Facial Component-Landmark Detection With Weakly-Supervised LR-CNN", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598858"]}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "768f6a14a7903099729872e0db231ea814eb05e9", "title": "De-Mark GAN: Removing Dense Watermark with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411205", "http://doi.org/10.1109/ICB2018.2018.00021"]}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "9e8637a5419fec97f162153569ec4fc53579c21e", "title": "Segmentation and Normalization of Human Ears Using Cascaded Pose Regression", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9e86/37a5419fec97f162153569ec4fc53579c21e.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.pdf"], "doi": []}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "0eb45876359473156c0d4309f548da63470d30ee", "title": "A Deeply-Initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0eb4/5876359473156c0d4309f548da63470d30ee.pdf"], "doi": []}, {"id": "43ed518e466ff13118385f4e5d039ae4d1c000fb", "title": "Classification of Occluded Objects Using Fast Recurrent Processing", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01350.pdf"], "doi": []}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"id": "66490b5869822b31d32af7108eaff193fbdb37b0", "title": "Cascade Multi-View Hourglass Model for Robust 3D Face Alignment", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2018_3dalignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373857", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00064", "http://doi.org/10.1109/FG.2018.00064"]}, {"id": "c18d537037caf399c4fabfdec896c376675af58a", "title": "Human-Eye Tracking and Location Algorithm Based on AdaBoost-STC and RF", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8328331", "http://doi.ieeecomputersociety.org/10.1109/CRC.2017.33", "http://doi.org/10.1109/CRC.2017.33"]}, {"id": "fbe4f8a6af19f63e47801c6f31402f9baae5fecf", "title": "Real-time expression-sensitive HMD face reconstruction", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2820910"]}, {"id": "88ad82e6f2264f75f7783232ba9185a2f931a5d1", "title": "Facial Expression Analysis under Partial Occlusion: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08784.pdf"], "doi": []}, {"id": "78f2c8671d1a79c08c80ac857e89315197418472", "title": "Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237443", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.181", "http://doi.org/10.1109/ICCV.2017.181"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486464", "http://doi.org/10.1109/ACPR.2015.7486464"]}, {"id": "747dc0add50b86f5ba9e3e7315943d520e08f9eb", "title": "Robust Facial Landmark Localization Using LBP Histogram Correlation Based Initialization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961799", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.78", "http://doi.org/10.1109/FG.2017.78"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "fce1c3f4948cf300694c18c3fcc5486cd060af13", "title": "Head Pose Estimation on Low-Quality Images", "year": "2018", "pdf": ["http://homepages.rpi.edu/~wangk10/papers/wang2018_low.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373880", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00087", "http://doi.org/10.1109/FG.2018.00087"]}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "a3f8e386771b59a1dfc7bbea83a78a7c0b82b5c5", "title": "Towards Detecting and Describing Objects: Object Detection, Parsing and Human Pose Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3f8/e386771b59a1dfc7bbea83a78a7c0b82b5c5.pdf"], "doi": []}, {"id": "d2992e7e98010c83a9ba83d96743bee551dd2d8c", "title": "Face Verification and Forgery Detection for Ophthalmic Surgery Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06194.pdf"], "doi": []}, {"id": "15bf0e70b069cea62d87d3bf706172c4a6a7779e", "title": "Robust face recognition and classification system based on SIFT and DCP techniques in image processing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8321868"]}, {"id": "2b251294bea1e49f9a646a67e6c57c9d3e1af483", "title": "Learning to generate filters for convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01894.pdf"], "doi": []}, {"id": "be892645c24f800b9b615b496172cd9fac8d5fe8", "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578686"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "d42dbc995318e2936714c65c028700bfd3633049", "title": "Face fiducial detection by consensus of exemplars", "year": "2016", "pdf": ["https://bitbucket.org/mallikarjun26/wacv_2016_face_fiducial/raw/9ed5a356db1fceda6c542bd7d8fd94f0c4f7d120/211.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477592", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477592", "http://doi.org/10.1109/WACV.2016.7477592"]}, {"id": "9ce4541d21ee3511bf3dc55bc3cd01222194d95a", "title": "Face inpainting based on high-level facial attributes", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.05.008"]}, {"id": "8783bb81f31d66d824f36c6fb6dd2b6b3c0f2021", "title": "Unsupervised Discovery of Object Landmarks as Structural Representations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578383"]}, {"id": "26ac607a101492bc86fd81a141311066cfe9e2b5", "title": "Sieving Regression Forest Votes for Facial Feature Detection in the Wild", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf", "http://www.eecs.qmul.ac.uk/~hy300/papers/YangPatrasiccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751351", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.243", "http://doi.org/10.1109/ICCV.2013.243"]}, {"id": "0ba64f4157d80720883a96a73e8d6a5f5b9f1d9b", "title": "Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06542.pdf"], "doi": []}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "7d73adcee255469aadc5e926066f71c93f51a1a5", "title": "Face alignment by deep convolutional network with adaptive learning rate", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001283.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471883", "http://doi.org/10.1109/ICASSP.2016.7471883"]}, {"id": "cc4bc9f3df2d1395bb2eed084c01aa7c40975cf0", "title": "Unsupervised learning of object frames by dense equivariant image labelling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02932.pdf"], "doi": []}, {"id": "1efaa128378f988965841eb3f49d1319a102dc36", "title": "Hierarchical binary CNNs for landmark localization with limited resources", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04803.pdf"], "doi": []}, {"id": "83e093a07efcf795db5e3aa3576531d61557dd0d", "title": "Facial Landmark Localization Using Robust Relationship Priors and Approximative Gibbs Sampling", "year": "2015", "pdf": ["https://www.tnt.uni-hannover.de/papers/data/1124/paper.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-27863-6_34"]}, {"id": "0bab5213911c19c40e936b08d2f8fba01e286b85", "title": "Cascaded Pose Regression Revisited: Face Alignment in Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966763", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.81", "http://doi.org/10.1109/BigMM.2017.81"]}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "76b11c281ac47fe6d95e124673a408ee9eb568e3", "title": "Real-time Multi View Face Detection and Pose Estimation Aishwarya", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76b1/1c281ac47fe6d95e124673a408ee9eb568e3.pdf"], "doi": []}, {"id": "13f6ab2f245b4a871720b95045c41a4204626814", "title": "Cortex commands the performance of skilled movement", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d74/382b6c4209c49de7c2b0fab7b34483ba0ddb.pdf"], "doi": []}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "2aea27352406a2066ddae5fad6f3f13afdc90be9", "title": "Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians", "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.05699.pdf"], "doi": []}, {"id": "940a675de8a48b54bac6b420f551529d2bc53b99", "title": "Advances , Challenges , and Opportunities in Automatic Facial Expression Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/940a/675de8a48b54bac6b420f551529d2bc53b99.pdf"], "doi": []}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "25695abfe51209798f3b68fb42cfad7a96356f1f", "title": "AN INVESTIGATION INTO COMBINING BOTH FACIAL DETECTION AND LANDMARK LOCALISATION INTO A UNIFIED PROCEDURE USING GPU COMPUTING", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2569/5abfe51209798f3b68fb42cfad7a96356f1f.pdf"], "doi": []}, {"id": "a85e9e11db5665c89b057a124547377d3e1c27ef", "title": "Dynamics of Driver's Gaze: Explorations in Behavior Modeling and Maneuver Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00066.pdf"], "doi": []}, {"id": "c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee", "title": "Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05612.pdf"], "doi": []}, {"id": "0561bed18b6278434deae562d646e8adad72e75d", "title": "Low rank driven robust facial landmark regression", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.052"]}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "ff93f127081f54855d1612b39260489a2d9baa0b", "title": "Facial 3D model registration under occlusions with sensiblepoints-based reinforced hypothesis refinement", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00531.pdf"], "doi": []}, {"id": "18dfc2434a95f149a6cbb583cca69a98c9de9887", "title": "Hough Networks for Head Pose Estimation and Facial Feature Localization", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/18df/c2434a95f149a6cbb583cca69a98c9de9887.pdf"], "doi": []}, {"id": "b1a3b19700b8738b4510eecf78a35ff38406df22", "title": "Automatic Analysis of Facial Actions : A Survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b1a3/b19700b8738b4510eecf78a35ff38406df22.pdf"], "doi": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406466", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.117", "http://doi.org/10.1109/ICCVW.2015.117"]}, {"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": "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": "05ea7930ae26165e7e51ff11b91c7aa8d7722002", "title": "Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1501.07359.pdf"], "doi": []}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "4da735d2ed0deeb0cae4a9d4394449275e316df2", "title": "The rhythms of head, eyes and hands at intersections", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0406.pdf", "http://cvrr.ucsd.edu/publications/2016/HeadEyeHand.pdf", "http://cvrr.ucsd.edu/scmartin/presentation/IV2016_headhand_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535575", "http://doi.org/10.1109/IVS.2016.7535575"]}, {"id": "15aa6c457678e25f6bc0e818e5fc39e42dd8e533", "title": "Conditional Image Generation for Learning the Structure of Visual Objects", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07823.pdf"], "doi": []}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "6a26893ed63830d00f6d011679d1b1ed2d8466a9", "title": "PNN-SIFT: An enhanced face recognition and classification system in image processing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8067877"]}, {"id": "5a10d74c7fc3294f76d771df413fe0b0b35f2ab5", "title": "Face Alignment Based on Incremental Learning for Bayonet Surveillance", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976545"]}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}]}
\ No newline at end of file
+{"id": "2724ba85ec4a66de18da33925e537f3902f21249", "citations": [{"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": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "77ef2ccd6a1a3f7ee590c688e841ed78d892d4dd", "title": "A walk through randomness for face analysis in unconstrained environments. (Etude des m\u00e9thodes al\u00e9atoires pour l'analyse de visage en environnement non contraint)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/77ef/2ccd6a1a3f7ee590c688e841ed78d892d4dd.pdf"], "doi": []}, {"id": "37278ffce3a0fe2c2bbf6232e805dd3f5267eba3", "title": "Can we still avoid automatic face detection?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04504.pdf"], "doi": []}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "74156a11c2997517061df5629be78428e1f09cbd", "title": "Preparatory coordination of head, eyes and hands: Experimental study at intersections", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/MartinRangeshTrivediICPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900057", "http://doi.org/10.1109/ICPR.2016.7900057"]}, {"id": "1e8fd77d4717e9cb6079e10771dd2ed772098cb3", "title": "Wearable social camera: Egocentric video summarization for social interaction", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7574681", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2016.7574681", "http://doi.org/10.1109/ICMEW.2016.7574681"]}, {"id": "53e081f5af505374c3b8491e9c4470fe77fe7934", "title": "Unconstrained realtime facial performance capture", "year": "2015", "pdf": ["http://www.cs.ubc.ca/~chyma/publications/ur/2015_ur_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_062.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_062_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hsieh_Unconstrained_Realtime_Facial_2015_CVPR_paper.pdf", "http://www.hao-li.com/publications/papers/cvpr2015URFPC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298776", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298776", "http://doi.org/10.1109/CVPR.2015.7298776"]}, {"id": "b3b802a883fd9f796ca4f056b1529ffaea863ba9", "title": "On effective human robot interaction based on recognition and association", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07100.pdf"], "doi": []}, {"id": "4f742c09ce12859b20deaa372c8f1575acfc99c9", "title": "How do you smile? Towards a comprehensive smile analysis system", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.01.020"]}, {"id": "5aafca76dbbbbaefd82f5f0265776afb5320dafe", "title": "Empirical analysis of cascade deformable models for multi-view face detection", "year": "2015", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_empirical_analysis_of_cascade_deformable_models_for_multi-view_face_detection.pdf", "http://doc.utwente.nl/95219/1/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://eprints.eemcs.utwente.nl/24551/01/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/jorozco_imavis_2015.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.07.002"]}, {"id": "195d331c958f2da3431f37a344559f9bce09c0f7", "title": "Parsing occluded people by flexible compositions", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1526.pdf"], "doi": []}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "427cf6528901d7fd5e5acfe4175ef809ed8ee7fa", "title": "SDM-Based Means of Gradient for Eye Center Localization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8511989", "http://doi.org/10.1109/DASC%2FPiCom%2FDataCom%2FCyberSciTec.2018.00-17", "https://doi.org/10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00-17"]}, {"id": "05f3744c2d272910fad0adc3a5fd9e919e005150", "title": "Head pose recovery and shape estimation in still images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bac7/5e1997d248dbd1b12e8b37bb663232687d4a.pdf"], "doi": []}, {"id": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406479", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.130", "http://doi.org/10.1109/ICCVW.2015.130"]}, {"id": "9391618c09a51f72a1c30b2e890f4fac1f595ebd", "title": "Globally Tuned Cascade Pose Regression via Back Propagation with Application in 2D Face Pose Estimation and Heart Segmentation in 3D CT Images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.08843.pdf"], "doi": []}, {"id": "9c36256275e21cc6103e92414aab35cba1c61a0a", "title": "Patch Classifier of Face Shape Outline Using Gray-Value Variance with Bilinear Interpolation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9c36/256275e21cc6103e92414aab35cba1c61a0a.pdf"], "doi": []}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "1fef53b07c6c625545fc071c7386d41f87925675", "title": "A rule-based methodology and assessment for context-aware privacy", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981839"]}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "768f6a14a7903099729872e0db231ea814eb05e9", "title": "De-Mark GAN: Removing Dense Watermark with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411205", "http://doi.org/10.1109/ICB2018.2018.00021"]}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "9e8637a5419fec97f162153569ec4fc53579c21e", "title": "Segmentation and Normalization of Human Ears Using Cascaded Pose Regression", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9e86/37a5419fec97f162153569ec4fc53579c21e.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.pdf"], "doi": []}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "0eb45876359473156c0d4309f548da63470d30ee", "title": "A Deeply-Initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0eb4/5876359473156c0d4309f548da63470d30ee.pdf"], "doi": []}, {"id": "43ed518e466ff13118385f4e5d039ae4d1c000fb", "title": "Classification of Occluded Objects Using Fast Recurrent Processing", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01350.pdf"], "doi": []}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"id": "66490b5869822b31d32af7108eaff193fbdb37b0", "title": "Cascade Multi-View Hourglass Model for Robust 3D Face Alignment", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2018_3dalignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373857", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00064", "http://doi.org/10.1109/FG.2018.00064"]}, {"id": "c18d537037caf399c4fabfdec896c376675af58a", "title": "Human-Eye Tracking and Location Algorithm Based on AdaBoost-STC and RF", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8328331", "http://doi.ieeecomputersociety.org/10.1109/CRC.2017.33", "http://doi.org/10.1109/CRC.2017.33"]}, {"id": "fbe4f8a6af19f63e47801c6f31402f9baae5fecf", "title": "Real-time expression-sensitive HMD face reconstruction", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2820910"]}, {"id": "88ad82e6f2264f75f7783232ba9185a2f931a5d1", "title": "Facial Expression Analysis under Partial Occlusion: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08784.pdf"], "doi": []}, {"id": "78f2c8671d1a79c08c80ac857e89315197418472", "title": "Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237443", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.181", "http://doi.org/10.1109/ICCV.2017.181"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486464", "http://doi.org/10.1109/ACPR.2015.7486464"]}, {"id": "747dc0add50b86f5ba9e3e7315943d520e08f9eb", "title": "Robust Facial Landmark Localization Using LBP Histogram Correlation Based Initialization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961799", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.78", "http://doi.org/10.1109/FG.2017.78"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "fce1c3f4948cf300694c18c3fcc5486cd060af13", "title": "Head Pose Estimation on Low-Quality Images", "year": "2018", "pdf": ["http://homepages.rpi.edu/~wangk10/papers/wang2018_low.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373880", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00087", "http://doi.org/10.1109/FG.2018.00087"]}, {"id": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "a3f8e386771b59a1dfc7bbea83a78a7c0b82b5c5", "title": "Towards Detecting and Describing Objects: Object Detection, Parsing and Human Pose Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3f8/e386771b59a1dfc7bbea83a78a7c0b82b5c5.pdf"], "doi": []}, {"id": "d2992e7e98010c83a9ba83d96743bee551dd2d8c", "title": "Face Verification and Forgery Detection for Ophthalmic Surgery Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06194.pdf"], "doi": []}, {"id": "15bf0e70b069cea62d87d3bf706172c4a6a7779e", "title": "Robust face recognition and classification system based on SIFT and DCP techniques in image processing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8321868"]}, {"id": "2b251294bea1e49f9a646a67e6c57c9d3e1af483", "title": "Learning to generate filters for convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01894.pdf"], "doi": []}, {"id": "be892645c24f800b9b615b496172cd9fac8d5fe8", "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578686"]}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "d42dbc995318e2936714c65c028700bfd3633049", "title": "Face fiducial detection by consensus of exemplars", "year": "2016", "pdf": ["https://bitbucket.org/mallikarjun26/wacv_2016_face_fiducial/raw/9ed5a356db1fceda6c542bd7d8fd94f0c4f7d120/211.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477592", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477592", "http://doi.org/10.1109/WACV.2016.7477592"]}, {"id": "9ce4541d21ee3511bf3dc55bc3cd01222194d95a", "title": "Face inpainting based on high-level facial attributes", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.05.008"]}, {"id": "8783bb81f31d66d824f36c6fb6dd2b6b3c0f2021", "title": "Unsupervised Discovery of Object Landmarks as Structural Representations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578383"]}, {"id": "26ac607a101492bc86fd81a141311066cfe9e2b5", "title": "Sieving Regression Forest Votes for Facial Feature Detection in the Wild", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf", "http://www.eecs.qmul.ac.uk/~hy300/papers/YangPatrasiccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751351", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.243", "http://doi.org/10.1109/ICCV.2013.243"]}, {"id": "0ba64f4157d80720883a96a73e8d6a5f5b9f1d9b", "title": "Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06542.pdf"], "doi": []}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "7d73adcee255469aadc5e926066f71c93f51a1a5", "title": "Face alignment by deep convolutional network with adaptive learning rate", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001283.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471883", "http://doi.org/10.1109/ICASSP.2016.7471883"]}, {"id": "cc4bc9f3df2d1395bb2eed084c01aa7c40975cf0", "title": "Unsupervised learning of object frames by dense equivariant image labelling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02932.pdf"], "doi": []}, {"id": "1efaa128378f988965841eb3f49d1319a102dc36", "title": "Hierarchical binary CNNs for landmark localization with limited resources", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04803.pdf"], "doi": []}, {"id": "83e093a07efcf795db5e3aa3576531d61557dd0d", "title": "Facial Landmark Localization Using Robust Relationship Priors and Approximative Gibbs Sampling", "year": "2015", "pdf": ["https://www.tnt.uni-hannover.de/papers/data/1124/paper.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-27863-6_34"]}, {"id": "0bab5213911c19c40e936b08d2f8fba01e286b85", "title": "Cascaded Pose Regression Revisited: Face Alignment in Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966763", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.81", "http://doi.org/10.1109/BigMM.2017.81"]}, {"id": "76b11c281ac47fe6d95e124673a408ee9eb568e3", "title": "Real-time Multi View Face Detection and Pose Estimation Aishwarya", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76b1/1c281ac47fe6d95e124673a408ee9eb568e3.pdf"], "doi": []}, {"id": "13f6ab2f245b4a871720b95045c41a4204626814", "title": "Cortex commands the performance of skilled movement", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d74/382b6c4209c49de7c2b0fab7b34483ba0ddb.pdf"], "doi": []}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "2aea27352406a2066ddae5fad6f3f13afdc90be9", "title": "Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians", "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.05699.pdf"], "doi": []}, {"id": "940a675de8a48b54bac6b420f551529d2bc53b99", "title": "Advances , Challenges , and Opportunities in Automatic Facial Expression Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/940a/675de8a48b54bac6b420f551529d2bc53b99.pdf"], "doi": []}, {"id": "25695abfe51209798f3b68fb42cfad7a96356f1f", "title": "AN INVESTIGATION INTO COMBINING BOTH FACIAL DETECTION AND LANDMARK LOCALISATION INTO A UNIFIED PROCEDURE USING GPU COMPUTING", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2569/5abfe51209798f3b68fb42cfad7a96356f1f.pdf"], "doi": []}, {"id": "a85e9e11db5665c89b057a124547377d3e1c27ef", "title": "Dynamics of Driver's Gaze: Explorations in Behavior Modeling and Maneuver Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00066.pdf"], "doi": []}, {"id": "c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee", "title": "Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05612.pdf"], "doi": []}, {"id": "0561bed18b6278434deae562d646e8adad72e75d", "title": "Low rank driven robust facial landmark regression", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.052"]}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "ff93f127081f54855d1612b39260489a2d9baa0b", "title": "Facial 3D model registration under occlusions with sensiblepoints-based reinforced hypothesis refinement", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00531.pdf"], "doi": []}, {"id": "18dfc2434a95f149a6cbb583cca69a98c9de9887", "title": "Hough Networks for Head Pose Estimation and Facial Feature Localization", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/18df/c2434a95f149a6cbb583cca69a98c9de9887.pdf"], "doi": []}, {"id": "b1a3b19700b8738b4510eecf78a35ff38406df22", "title": "Automatic Analysis of Facial Actions : A Survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b1a3/b19700b8738b4510eecf78a35ff38406df22.pdf"], "doi": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406466", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.117", "http://doi.org/10.1109/ICCVW.2015.117"]}, {"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": "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": "05ea7930ae26165e7e51ff11b91c7aa8d7722002", "title": "Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1501.07359.pdf"], "doi": []}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "4da735d2ed0deeb0cae4a9d4394449275e316df2", "title": "The rhythms of head, eyes and hands at intersections", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0406.pdf", "http://cvrr.ucsd.edu/publications/2016/HeadEyeHand.pdf", "http://cvrr.ucsd.edu/scmartin/presentation/IV2016_headhand_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535575", "http://doi.org/10.1109/IVS.2016.7535575"]}, {"id": "15aa6c457678e25f6bc0e818e5fc39e42dd8e533", "title": "Conditional Image Generation for Learning the Structure of Visual Objects", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07823.pdf"], "doi": []}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "6a26893ed63830d00f6d011679d1b1ed2d8466a9", "title": "PNN-SIFT: An enhanced face recognition and classification system in image processing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8067877"]}, {"id": "5a10d74c7fc3294f76d771df413fe0b0b35f2ab5", "title": "Face Alignment Based on Incremental Learning for Bayonet Surveillance", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976545"]}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/face_tracer.json b/site/datasets/unknown/face_tracer.json
index 2fbb5863..b74f1db1 100644
--- a/site/datasets/unknown/face_tracer.json
+++ b/site/datasets/unknown/face_tracer.json
@@ -1 +1 @@
-{"id": "4c170a0dcc8de75587dae21ca508dab2f9343974", "citations": [{"id": "6ee8a94ccba10062172e5b31ee097c846821a822", "title": "How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6ee8/a94ccba10062172e5b31ee097c846821a822.pdf"], "doi": []}, {"id": "40294254c5d1eb894665b28e009e6daa92aa943a", "title": "Donn\u00e9es multimodales pour l'analyse d'image", "year": "2010", "pdf": [], "doi": []}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961738", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.30", "http://doi.org/10.1109/FG.2017.30"]}, {"id": "ae1c92ae7e836eb3d964b998ac5f8699e5c90cfc", "title": "Large Scale Visual Recognition", "year": "2012", "pdf": [], "doi": []}, {"id": "db1a9b8d8ce9a5696a96f8db4206b6f72707730e", "title": "Cross-Modal Facial Attribute Recognition with Geometric Features", "year": "2017", "pdf": ["https://www.jventura.net/sites/default/files/bradley_hfr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961838", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.127", "http://doi.org/10.1109/FG.2017.127"]}, {"id": "23ebbbba11c6ca785b0589543bf5675883283a57", "title": "Spatio-Temporal Tube data representation and Kernel design for SVM-based video object retrieval system", "year": "2010", "pdf": ["http://webia.lip6.fr/~cord/Publications_files/KernelVideo.pdf", "http://www.researchgate.net/profile/Matthieu_Cord/publication/220664678_Spatio-Temporal_Tube_data_representation_and_Kernel_design_for_SVM-based_video_object_retrieval_system/links/0fcfd50bc7cf6d34bc000000.pdf", "https://pdfs.semanticscholar.org/23eb/bbba11c6ca785b0589543bf5675883283a57.pdf"], "doi": ["http://doi.org/10.1007/s11042-010-0602-3"]}, {"id": "ccf0324f4115687a844a6df6a87bbba150adc10b", "title": "Interactive image search with attributes", "year": "2014", "pdf": [], "doi": []}, {"id": "d930c3d92a075d3f3dd9f5ea1a8f04e0d659b22b", "title": "Social Photo Retrieval and Its Application in Smart TV", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6579373"]}, {"id": "91e9e19a06614197b5431410cecd29762223e04e", "title": "Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00077.pdf"], "doi": []}, {"id": "a30869c5d4052ed1da8675128651e17f97b87918", "title": "Fine-Grained Comparisons with Attributes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a308/69c5d4052ed1da8675128651e17f97b87918.pdf"], "doi": []}, {"id": "176e5abddb87d029f85f60d1bbff67c66500e8c3", "title": "Efficient Facial Attribute Recognition with a Spatial Codebook", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Tony_Han3/publication/220930104_Efficient_Facial_Attribute_Recognition_with_a_Spatial_Codebook/links/0046351affdf1f0d96000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597156", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.361", "http://doi.org/10.1109/ICPR.2010.361"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.pdf"], "doi": []}, {"id": "ae753fd46a744725424690d22d0d00fb05e53350", "title": "Describing clothing by semantic attributes", "year": "2012", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/publications/ECCV2012_ClothingAttributes.pdf", "http://web.stanford.edu/~hchen2/papers/ECCV2012_ClothingAttributes.pdf", "https://pdfs.semanticscholar.org/b185/f0a39384ceb3c4923196aeed6d68830a069f.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_44"]}, {"id": "0fad544edfc2cd2a127436a2126bab7ad31ec333", "title": "Decorrelating Semantic Visual Attributes by Resisting the Urge to Share", "year": "2014", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=7D609FEFFC36336C4A45ECA3B56C336A?doi=10.1.1.476.9590&rep=rep1&type=pdf", "http://vision.cs.utexas.edu/projects/resistshare/cvpr-0824_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Jayaraman_Decorrelating_Semantic_Visual_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.211", "http://doi.org/10.1109/CVPR.2014.211"]}, {"id": "68a3f12382003bc714c51c85fb6d0557dcb15467", "title": "Learning the Visual Interpretation of Sentences", "year": "2013", "pdf": ["http://research.microsoft.com/en-us/um/people/larryz/ZitnickSent2SceneICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zitnick_Learning_the_Visual_2013_ICCV_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/ZitnickSent2SceneICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751319", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.211", "http://doi.org/10.1109/ICCV.2013.211"]}, {"id": "2563fc1797f187e2f6f9d9f4387d4bcadd3fbd02", "title": "Just Noticeable Differences in Visual Attributes", "year": "2015", "pdf": ["http://aronyu.io/vision/papers/iccv15/aron-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Yu_Just_Noticeable_Differences_ICCV_2015_paper.pdf", "http://oui.csail.mit.edu/camera_readys/36.pdf", "http://www.cs.utexas.edu/~grauman/papers/yu-iccv2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yu_Just_Noticeable_Differences_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410635", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.278", "http://doi.org/10.1109/ICCV.2015.278"]}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "c5ecbc343f26b7051bb084b10b74eeb12b39fd15", "title": "Contributions to large-scale learning for image classification. (Contributions \u00e0 l'apprentissage grande \u00e9chelle pour la classification d'images)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7f79/e78e52883994a8a843af48922980ae730e65.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": "3830047081ef4bc787f16edf5b244cb2793f75e5", "title": "Visual Material Traits: Recognizing Per-Pixel Material Context", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W25/papers/Schwartz_Visual_Material_Traits_2013_ICCV_paper.pdf", "https://www.cs.drexel.edu/~kon/publication/GSchwartz_CPCV13.pdf", "https://www.cs.drexel.edu/~kon/publication/GSchwartz_CPCV13_slides.pdf", "https://www.cs.drexel.edu/~kon/pubs/GSchwartz_CPCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755990"]}, {"id": "06e7e99c1fdb1da60bc3ec0e2a5563d05b63fe32", "title": "WhittleSearch: Image search with relative attribute feedback", "year": "2012", "pdf": ["http://www.cs.utexas.edu/~grauman/papers/whittle-search-cvpr2012.pdf", "http://www.cs.utexas.edu/~grauman/papers/whittle-search-supp-cvpr2012.pdf", "http://www.cs.utexas.edu/~grauman/papers/whittlesearch-poster-cvpr2012.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/KovashkaParikhGrauman_CVPR_2012_whittle_search.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248026", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248026", "http://doi.org/10.1109/CVPR.2012.6248026"]}, {"id": "8aed6ec62cfccb4dba0c19ee000e6334ec585d70", "title": "Localizing and Visualizing Relative Attributes", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8aed/6ec62cfccb4dba0c19ee000e6334ec585d70.pdf"], "doi": []}, {"id": "52887969107956d59e1218abb84a1f834a314578", "title": "Travel Recommendation by Mining People Attributes and Travel Group Types From Community-Contributed Photos", "year": "2013", "pdf": ["http://www.cmlab.csie.ntu.edu.tw/~yanying/paper/chen13travel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6521356", "http://doi.org/10.1109/TMM.2013.2265077"]}, {"id": "61122b36259f5e987a4913c9b257c6e7dc88edc3", "title": "Search based face annotation", "year": "2014", "pdf": [], "doi": []}, {"id": "78f438ed17f08bfe71dfb205ac447ce0561250c6", "title": "Bridging the Semantic Gap : Image and video Understanding by Exploiting Attributes", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/78f4/38ed17f08bfe71dfb205ac447ce0561250c6.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": "e5737ffc4e74374b0c799b65afdbf0304ff344cb", "title": "A literature survey on robust and efficient eye localization in real-life scenarios", "year": "2013", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pr13eye.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/ED_survey0412.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.05.009"]}, {"id": "1828b1b0f5395b163fef087a72df0605249300c2", "title": "On-line Adaption of Class-specific Codebooks for Instance Tracking", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/8522/1ccd47dd396f33bde8f1d113f158376e383c.pdf"], "doi": []}, {"id": "b40290a694075868e0daef77303f2c4ca1c43269", "title": "Combining Local and Global Information for Hair Shape Modeling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b402/90a694075868e0daef77303f2c4ca1c43269.pdf"], "doi": []}, {"id": "ff8ef43168b9c8dd467208a0b1b02e223b731254", "title": "BreakingNews: Article Annotation by Image and Text Processing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.07141.pdf"], "doi": []}, {"id": "0700d36427b3a6cb6223a639ffea11570400ab25", "title": "Doing the Best We Can with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16962", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16962/16273"]}, {"id": "9f094341bea610a10346f072bf865cb550a1f1c1", "title": "Recognition and volume estimation of food intake using a mobile device", "year": "2009", "pdf": ["http://zhiweizhu.com/papers/FIVR_MobileDevice_2009.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5403087", "http://doi.org/10.1109/WACV.2009.5403087"]}, {"id": "1939168a275013d9bc1afaefc418684caf99ba66", "title": "An associate-predict model for face recognition", "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_associate_Predict_Model.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/10/cvpr11_faceapmodel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995494", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995494", "http://doi.org/10.1109/CVPR.2011.5995494"]}, {"id": "e98551055bdcf8e25e07f4ffdbf39d0a4a57bffc", "title": "Model Semantic Relations with Extended Attributes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977153", "http://doi.org/10.1109/ICPR.2014.440"]}, {"id": "28bc378a6b76142df8762cd3f80f737ca2b79208", "title": "Understanding Objects in Detail with Fine-Grained Attributes", "year": "2014", "pdf": ["http://people.cs.umass.edu/~smaji/papers/oid-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vedaldi_Understanding_Objects_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909858", "http://doi.org/10.1109/CVPR.2014.463", "https://www.wikidata.org/entity/Q58050718"]}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "6c0c7b90e0c7badaa95924530cb50d86444010ff", "title": "Semantic Attributes for Transfer Learning in Visual Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6c0c/7b90e0c7badaa95924530cb50d86444010ff.pdf"], "doi": []}, {"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": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "title": "Attribute and simile classifiers for face verification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459250"]}, {"id": "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "title": "Fine-grained classification of pedestrians in video: Benchmark and state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.06177.pdf"], "doi": []}, {"id": "b34fdab6864782ce60fd90d09f5d886bd83f84f5", "title": "AL-DDCNN: a distributed crossing semantic gap learning for person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1002/cpe.3766"]}, {"id": "65817963194702f059bae07eadbf6486f18f4a0a", "title": "WhittleSearch: Interactive Image Search with Relative Attribute Feedback", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04141.pdf"], "doi": []}, {"id": "852ff0d410a25ebb7936043a05efe2469c699e4b", "title": "Learning local binary patterns for gender classification on real-world face images", "year": "2012", "pdf": ["http://repository.tudelft.nl/assets/uuid:678436fb-d859-4c4a-8842-f1b4bb5a0fe3/MS-32.590.pdf", "http://www.cin.ufpe.br/~cabm/visao/artigos/Learning%20local%20binary%20patterns%20for%20gender%20classification%20on%20real-world%20face%20images.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2011.05.016"]}, {"id": "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "title": "Joint optimization of manifold learning and sparse representations", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/Andy_files/AI_Seminar_March_1_2013_Ptucha.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553786.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553786", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553786", "http://doi.org/10.1109/FG.2013.6553786", "http://scholarworks.rit.edu/cgi/viewcontent.cgi?article=5352&context=theses"]}, {"id": "5c2e264d6ac253693469bd190f323622c457ca05", "title": "Improving large-scale face image retrieval using multi-level features", "year": "2013", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Improving%20large%20scale%20image%20retrieval%20using%20multi-level%20features13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738900", "http://doi.org/10.1109/ICIP.2013.6738900"]}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.pdf"], "doi": []}, {"id": "55a158f4e7c38fe281d06ae45eb456e05516af50", "title": "Simile Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"], "doi": []}, {"id": "94a7c97d1e3eb5dbfb20b180780451486597a9be", "title": "Facial attributes for active authentication on mobile devices", "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/attrspaper_final.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.004"]}, {"id": "e0679f8cf0029c04a95d966f562eb0bac3145adf", "title": "Harnessing auxiliary information : New methods to improve person identification", "year": "2015", "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": "7f4bc8883c3b9872408cc391bcd294017848d0cf", "title": "The Multimodal Focused Attribute Model : A Nonparametric Bayesian Approach to Simultaneous Object Classification and Attribute Discovery", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7f4b/c8883c3b9872408cc391bcd294017848d0cf.pdf"], "doi": []}, {"id": "a34e5c66bd553d8a75e13084fb7a81217c21e33b", "title": "Attributes as Operators: Factorizing Unseen Attribute-Object Compositions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09851.pdf"], "doi": []}, {"id": "2ffcd35d9b8867a42be23978079f5f24be8d3e35", "title": "Satellite based Image Processing using Data mining", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2ffc/d35d9b8867a42be23978079f5f24be8d3e35.pdf"], "doi": []}, {"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": "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "title": "Describable Visual Attributes for Face Verification and Image Search", "year": "2011", "pdf": ["http://acberg.com/papers/berg_face_attributes_pami.pdf", "http://acberg.com/papers/faceattrs_pami_submission_1.pdf", "http://neerajkumar.org/publications/base/papers/nk_pami2011_faceattrs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"id": "8b1db0894a23c4d6535b5adf28692f795559be90", "title": "How Reliable are Your Visual Attributes ?", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8b1d/b0894a23c4d6535b5adf28692f795559be90.pdf"], "doi": []}, {"id": "69b2a7533e38c2c8c9a0891a728abb423ad2c7e7", "title": "Manifold based sparse representation for facial understanding in natural images", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2013.03.003"]}, {"id": "5a34a9bb264a2594c02b5f46b038aa1ec3389072", "title": "Label-Embedding for Image Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.08677.pdf"], "doi": []}, {"id": "fdbe7c520568d9a32048270d2c87113c635dc7e6", "title": "Live Stream Oriented Age and Gender Estimation using Boosted LBP Histograms Comparisons", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fdbe/7c520568d9a32048270d2c87113c635dc7e6.pdf"], "doi": []}, {"id": "3690af0af51a067750f664c08e48b486d1cd476d", "title": "A Mixture of Two Gender Classification Experts", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6382763", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.41", "http://doi.org/10.1109/SIBGRAPI.2012.41"]}, {"id": "17189cfedbdbd219849b8e7f8cf0293d49465f9c", "title": "Investigating 3D model and part information for improving content-based and attribute-based object retrieval", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2396505"]}, {"id": "14a5feadd4209d21fa308e7a942967ea7c13b7b6", "title": "Content-based vehicle retrieval using 3D model and part information", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0001025.pdf", "http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0001025.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6288060", "http://doi.org/10.1109/ICASSP.2012.6288060"]}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.031"]}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "729a9d35bc291cc7117b924219bef89a864ce62c", "title": "Recognizing Material Properties from Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03127.pdf"], "doi": []}, {"id": "09071e54b012fd8b14aa351a73d44190707b1409", "title": "Reasoning Across Language and Vision in Machines and Humans", "year": "2013", "pdf": [], "doi": []}, {"id": "1d7ecdcb63b20efb68bcc6fd99b1c24aa6508de9", "title": "The Hidden Sides of Names\u2014Face Modeling with First Name Attributes", "year": "2014", "pdf": ["http://web.stanford.edu/~bgirod/pdfs/ChenHuizhongTransPAMISep2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722940", "http://doi.org/10.1109/TPAMI.2014.2302443", "https://www.ncbi.nlm.nih.gov/pubmed/26352237", "https://www.wikidata.org/entity/Q40559758"]}, {"id": "02e43d9ca736802d72824892c864e8cfde13718e", "title": "Transferring a semantic representation for person re-identification and search", "year": "2015", "pdf": ["https://arxiv.org/pdf/1706.03725.pdf"], "doi": []}, {"id": "3c1f5580a66c9624c77f27ab8e4cf0d1b3d9d171", "title": "SkyFinder: attribute-based sky image search", "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1531374"]}, {"id": "50d15cb17144344bb1879c0a5de7207471b9ff74", "title": "Divide , Share , and Conquer : Multitask Attribute Learning with Selective Sharing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/50d1/5cb17144344bb1879c0a5de7207471b9ff74.pdf"], "doi": []}, {"id": "9ce4541d21ee3511bf3dc55bc3cd01222194d95a", "title": "Face inpainting based on high-level facial attributes", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.05.008"]}, {"id": "97c554fbcf783d554c4f6c2f3fcc0a0f9dba0759", "title": "Sparse Feature Preservation for Relative Attribute Learning", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7823652", "http://doi.ieeecomputersociety.org/10.1109/ISM.2016.0085", "http://doi.org/10.1109/ISM.2016.0085"]}, {"id": "eba4cfd76f99159ccc0a65cab0a02db42b548d85", "title": "Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/spoken_attributes.pdf", "http://uvu.eecs.utk.edu/wp-content/uploads/2018/08/spoken_attributes.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Sadovnik_Spoken_Attributes_Mixing_2013_ICCV_paper.pdf", "https://www.cc.gatech.edu/~parikh/Publications/Sadovnik_ICCV_2013_saying_the_right_thing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751379", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.268", "http://doi.org/10.1109/ICCV.2013.268"]}, {"id": "2163c401f6345350e38b2ce6f39a42871fb22c84", "title": "On the effectiveness of soft biometrics for increasing face verification rates", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.003"]}, {"id": "4c72a51a7c7288e6e17dfefe4f87df47929608e7", "title": "Automatic Face Recognition of Newborns, Infants, and Toddlers: A Longitudinal Evaluation", "year": "2016", "pdf": ["http://biometrics.cse.msu.edu/Presentations/BestRowden_ChildFaceRecognition_BIOSIG_slides.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowdenHooleJain_FaceRecInfantsToddlers_BioSIG2016.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowden_FaceRecInfantsToddlers_BioSIG2016_WebsiteToAppear.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowden_IEEE_FaceRecInfantsToddlers_SubmittedIEEE_v2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736912", "http://doi.org/10.1109/BIOSIG.2016.7736912", "https://dl.gi.de/20.500.12116/1242"]}, {"id": "c4f1fcd0a5cdaad8b920ee8188a8557b6086c1a4", "title": "The Ignorant Led by the Blind: A Hybrid Human\u2013Machine Vision System for Fine-Grained Categorization", "year": "2014", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2015/02/ijcv2014.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0698-4"]}, {"id": "aafb271684a52a0b23debb3a5793eb618940c5dd", "title": "Hierarchical semantic indexing for large scale image retrieval", "year": "2011", "pdf": ["http://acberg.com/papers/0857.pdf", "http://acberg.com/papers/hierarchical_semantic_indexing.pdf", "http://cs.stanford.edu/groups/vision/documents/DengBergFei-Fei_CVPR2011_supp.pdf", "http://vision.stanford.edu/documents/DengBergFei-Fei_CVPR2011_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995516", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995516", "http://doi.org/10.1109/CVPR.2011.5995516"]}, {"id": "3ab036b680e8408ec74f78a918f3ffbf6c906d70", "title": "Saying What You're Looking For: Linguistics Meets Video Search", "year": "2016", "pdf": ["https://arxiv.org/pdf/1309.5174.pdf"], "doi": []}, {"id": "3fd90098551bf88c7509521adf1c0ba9b5dfeb57", "title": "Attribute-Based Classification for Zero-Shot Visual Object Categorization", "year": "2014", "pdf": ["http://pub.ist.ac.at/~chl/papers/lampert-pami2013.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/zsl2016/zslpubs/lampert13pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6571196", "http://doi.org/10.1109/TPAMI.2013.140", "https://www.ncbi.nlm.nih.gov/pubmed/24457503", "https://www.wikidata.org/entity/Q38437353"]}, {"id": "6baaa8b763cc5553715766e7fbe7abb235fae33c", "title": "Facial Attributes Classification Using Multi-task Representation Learning", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Ehrlich_Facial_Attributes_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789589", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.99", "http://doi.org/10.1109/CVPRW.2016.99"]}]}
\ No newline at end of file
+{"id": "4c170a0dcc8de75587dae21ca508dab2f9343974", "citations": [{"id": "6ee8a94ccba10062172e5b31ee097c846821a822", "title": "How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6ee8/a94ccba10062172e5b31ee097c846821a822.pdf"], "doi": []}, {"id": "40294254c5d1eb894665b28e009e6daa92aa943a", "title": "Donn\u00e9es multimodales pour l'analyse d'image", "year": "2010", "pdf": [], "doi": []}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961738", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.30", "http://doi.org/10.1109/FG.2017.30"]}, {"id": "ae1c92ae7e836eb3d964b998ac5f8699e5c90cfc", "title": "Large Scale Visual Recognition", "year": "2012", "pdf": [], "doi": []}, {"id": "db1a9b8d8ce9a5696a96f8db4206b6f72707730e", "title": "Cross-Modal Facial Attribute Recognition with Geometric Features", "year": "2017", "pdf": ["https://www.jventura.net/sites/default/files/bradley_hfr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961838", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.127", "http://doi.org/10.1109/FG.2017.127"]}, {"id": "23ebbbba11c6ca785b0589543bf5675883283a57", "title": "Spatio-Temporal Tube data representation and Kernel design for SVM-based video object retrieval system", "year": "2010", "pdf": ["http://webia.lip6.fr/~cord/Publications_files/KernelVideo.pdf", "http://www.researchgate.net/profile/Matthieu_Cord/publication/220664678_Spatio-Temporal_Tube_data_representation_and_Kernel_design_for_SVM-based_video_object_retrieval_system/links/0fcfd50bc7cf6d34bc000000.pdf", "https://pdfs.semanticscholar.org/23eb/bbba11c6ca785b0589543bf5675883283a57.pdf"], "doi": ["http://doi.org/10.1007/s11042-010-0602-3"]}, {"id": "ccf0324f4115687a844a6df6a87bbba150adc10b", "title": "Interactive image search with attributes", "year": "2014", "pdf": [], "doi": []}, {"id": "d930c3d92a075d3f3dd9f5ea1a8f04e0d659b22b", "title": "Social Photo Retrieval and Its Application in Smart TV", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6579373"]}, {"id": "91e9e19a06614197b5431410cecd29762223e04e", "title": "Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00077.pdf"], "doi": []}, {"id": "a30869c5d4052ed1da8675128651e17f97b87918", "title": "Fine-Grained Comparisons with Attributes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a308/69c5d4052ed1da8675128651e17f97b87918.pdf"], "doi": []}, {"id": "176e5abddb87d029f85f60d1bbff67c66500e8c3", "title": "Efficient Facial Attribute Recognition with a Spatial Codebook", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Tony_Han3/publication/220930104_Efficient_Facial_Attribute_Recognition_with_a_Spatial_Codebook/links/0046351affdf1f0d96000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597156", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.361", "http://doi.org/10.1109/ICPR.2010.361"]}, {"id": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.pdf"], "doi": []}, {"id": "ae753fd46a744725424690d22d0d00fb05e53350", "title": "Describing clothing by semantic attributes", "year": "2012", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/publications/ECCV2012_ClothingAttributes.pdf", "http://web.stanford.edu/~hchen2/papers/ECCV2012_ClothingAttributes.pdf", "https://pdfs.semanticscholar.org/b185/f0a39384ceb3c4923196aeed6d68830a069f.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_44"]}, {"id": "0fad544edfc2cd2a127436a2126bab7ad31ec333", "title": "Decorrelating Semantic Visual Attributes by Resisting the Urge to Share", "year": "2014", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=7D609FEFFC36336C4A45ECA3B56C336A?doi=10.1.1.476.9590&rep=rep1&type=pdf", "http://vision.cs.utexas.edu/projects/resistshare/cvpr-0824_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Jayaraman_Decorrelating_Semantic_Visual_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.211", "http://doi.org/10.1109/CVPR.2014.211"]}, {"id": "68a3f12382003bc714c51c85fb6d0557dcb15467", "title": "Learning the Visual Interpretation of Sentences", "year": "2013", "pdf": ["http://research.microsoft.com/en-us/um/people/larryz/ZitnickSent2SceneICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zitnick_Learning_the_Visual_2013_ICCV_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/ZitnickSent2SceneICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751319", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.211", "http://doi.org/10.1109/ICCV.2013.211"]}, {"id": "2563fc1797f187e2f6f9d9f4387d4bcadd3fbd02", "title": "Just Noticeable Differences in Visual Attributes", "year": "2015", "pdf": ["http://aronyu.io/vision/papers/iccv15/aron-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Yu_Just_Noticeable_Differences_ICCV_2015_paper.pdf", "http://oui.csail.mit.edu/camera_readys/36.pdf", "http://www.cs.utexas.edu/~grauman/papers/yu-iccv2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yu_Just_Noticeable_Differences_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410635", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.278", "http://doi.org/10.1109/ICCV.2015.278"]}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "c5ecbc343f26b7051bb084b10b74eeb12b39fd15", "title": "Contributions to large-scale learning for image classification. (Contributions \u00e0 l'apprentissage grande \u00e9chelle pour la classification d'images)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7f79/e78e52883994a8a843af48922980ae730e65.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": "3830047081ef4bc787f16edf5b244cb2793f75e5", "title": "Visual Material Traits: Recognizing Per-Pixel Material Context", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W25/papers/Schwartz_Visual_Material_Traits_2013_ICCV_paper.pdf", "https://www.cs.drexel.edu/~kon/publication/GSchwartz_CPCV13.pdf", "https://www.cs.drexel.edu/~kon/publication/GSchwartz_CPCV13_slides.pdf", "https://www.cs.drexel.edu/~kon/pubs/GSchwartz_CPCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755990"]}, {"id": "06e7e99c1fdb1da60bc3ec0e2a5563d05b63fe32", "title": "WhittleSearch: Image search with relative attribute feedback", "year": "2012", "pdf": ["http://www.cs.utexas.edu/~grauman/papers/whittle-search-cvpr2012.pdf", "http://www.cs.utexas.edu/~grauman/papers/whittle-search-supp-cvpr2012.pdf", "http://www.cs.utexas.edu/~grauman/papers/whittlesearch-poster-cvpr2012.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/KovashkaParikhGrauman_CVPR_2012_whittle_search.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248026", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248026", "http://doi.org/10.1109/CVPR.2012.6248026"]}, {"id": "8aed6ec62cfccb4dba0c19ee000e6334ec585d70", "title": "Localizing and Visualizing Relative Attributes", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8aed/6ec62cfccb4dba0c19ee000e6334ec585d70.pdf"], "doi": []}, {"id": "52887969107956d59e1218abb84a1f834a314578", "title": "Travel Recommendation by Mining People Attributes and Travel Group Types From Community-Contributed Photos", "year": "2013", "pdf": ["http://www.cmlab.csie.ntu.edu.tw/~yanying/paper/chen13travel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6521356", "http://doi.org/10.1109/TMM.2013.2265077"]}, {"id": "61122b36259f5e987a4913c9b257c6e7dc88edc3", "title": "Search based face annotation", "year": "2014", "pdf": [], "doi": []}, {"id": "78f438ed17f08bfe71dfb205ac447ce0561250c6", "title": "Bridging the Semantic Gap : Image and video Understanding by Exploiting Attributes", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/78f4/38ed17f08bfe71dfb205ac447ce0561250c6.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": "e5737ffc4e74374b0c799b65afdbf0304ff344cb", "title": "A literature survey on robust and efficient eye localization in real-life scenarios", "year": "2013", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pr13eye.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/ED_survey0412.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.05.009"]}, {"id": "1828b1b0f5395b163fef087a72df0605249300c2", "title": "On-line Adaption of Class-specific Codebooks for Instance Tracking", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/8522/1ccd47dd396f33bde8f1d113f158376e383c.pdf"], "doi": []}, {"id": "b40290a694075868e0daef77303f2c4ca1c43269", "title": "Combining Local and Global Information for Hair Shape Modeling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b402/90a694075868e0daef77303f2c4ca1c43269.pdf"], "doi": []}, {"id": "ff8ef43168b9c8dd467208a0b1b02e223b731254", "title": "BreakingNews: Article Annotation by Image and Text Processing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.07141.pdf"], "doi": []}, {"id": "0700d36427b3a6cb6223a639ffea11570400ab25", "title": "Doing the Best We Can with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16962", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16962/16273"]}, {"id": "9f094341bea610a10346f072bf865cb550a1f1c1", "title": "Recognition and volume estimation of food intake using a mobile device", "year": "2009", "pdf": ["http://zhiweizhu.com/papers/FIVR_MobileDevice_2009.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5403087", "http://doi.org/10.1109/WACV.2009.5403087"]}, {"id": "1939168a275013d9bc1afaefc418684caf99ba66", "title": "An associate-predict model for face recognition", "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_associate_Predict_Model.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/10/cvpr11_faceapmodel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995494", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995494", "http://doi.org/10.1109/CVPR.2011.5995494"]}, {"id": "e98551055bdcf8e25e07f4ffdbf39d0a4a57bffc", "title": "Model Semantic Relations with Extended Attributes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977153", "http://doi.org/10.1109/ICPR.2014.440"]}, {"id": "28bc378a6b76142df8762cd3f80f737ca2b79208", "title": "Understanding Objects in Detail with Fine-Grained Attributes", "year": "2014", "pdf": ["http://people.cs.umass.edu/~smaji/papers/oid-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vedaldi_Understanding_Objects_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909858", "http://doi.org/10.1109/CVPR.2014.463", "https://www.wikidata.org/entity/Q58050718"]}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "6c0c7b90e0c7badaa95924530cb50d86444010ff", "title": "Semantic Attributes for Transfer Learning in Visual Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6c0c/7b90e0c7badaa95924530cb50d86444010ff.pdf"], "doi": []}, {"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": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "title": "Attribute and simile classifiers for face verification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459250"]}, {"id": "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "title": "Fine-grained classification of pedestrians in video: Benchmark and state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.06177.pdf"], "doi": []}, {"id": "b34fdab6864782ce60fd90d09f5d886bd83f84f5", "title": "AL-DDCNN: a distributed crossing semantic gap learning for person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1002/cpe.3766"]}, {"id": "65817963194702f059bae07eadbf6486f18f4a0a", "title": "WhittleSearch: Interactive Image Search with Relative Attribute Feedback", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04141.pdf"], "doi": []}, {"id": "852ff0d410a25ebb7936043a05efe2469c699e4b", "title": "Learning local binary patterns for gender classification on real-world face images", "year": "2012", "pdf": ["http://repository.tudelft.nl/assets/uuid:678436fb-d859-4c4a-8842-f1b4bb5a0fe3/MS-32.590.pdf", "http://www.cin.ufpe.br/~cabm/visao/artigos/Learning%20local%20binary%20patterns%20for%20gender%20classification%20on%20real-world%20face%20images.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2011.05.016"]}, {"id": "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "title": "Joint optimization of manifold learning and sparse representations", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/Andy_files/AI_Seminar_March_1_2013_Ptucha.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553786.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553786", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553786", "http://doi.org/10.1109/FG.2013.6553786", "http://scholarworks.rit.edu/cgi/viewcontent.cgi?article=5352&context=theses"]}, {"id": "5c2e264d6ac253693469bd190f323622c457ca05", "title": "Improving large-scale face image retrieval using multi-level features", "year": "2013", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Improving%20large%20scale%20image%20retrieval%20using%20multi-level%20features13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738900", "http://doi.org/10.1109/ICIP.2013.6738900"]}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.pdf"], "doi": []}, {"id": "55a158f4e7c38fe281d06ae45eb456e05516af50", "title": "Simile Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"], "doi": []}, {"id": "94a7c97d1e3eb5dbfb20b180780451486597a9be", "title": "Facial attributes for active authentication on mobile devices", "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/attrspaper_final.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.004"]}, {"id": "e0679f8cf0029c04a95d966f562eb0bac3145adf", "title": "Harnessing auxiliary information : New methods to improve person identification", "year": "2015", "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": "7f4bc8883c3b9872408cc391bcd294017848d0cf", "title": "The Multimodal Focused Attribute Model : A Nonparametric Bayesian Approach to Simultaneous Object Classification and Attribute Discovery", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7f4b/c8883c3b9872408cc391bcd294017848d0cf.pdf"], "doi": []}, {"id": "a34e5c66bd553d8a75e13084fb7a81217c21e33b", "title": "Attributes as Operators: Factorizing Unseen Attribute-Object Compositions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09851.pdf"], "doi": []}, {"id": "2ffcd35d9b8867a42be23978079f5f24be8d3e35", "title": "Satellite based Image Processing using Data mining", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2ffc/d35d9b8867a42be23978079f5f24be8d3e35.pdf"], "doi": []}, {"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": "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "title": "Describable Visual Attributes for Face Verification and Image Search", "year": "2011", "pdf": ["http://acberg.com/papers/berg_face_attributes_pami.pdf", "http://acberg.com/papers/faceattrs_pami_submission_1.pdf", "http://neerajkumar.org/publications/base/papers/nk_pami2011_faceattrs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"id": "8b1db0894a23c4d6535b5adf28692f795559be90", "title": "How Reliable are Your Visual Attributes ?", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8b1d/b0894a23c4d6535b5adf28692f795559be90.pdf"], "doi": []}, {"id": "69b2a7533e38c2c8c9a0891a728abb423ad2c7e7", "title": "Manifold based sparse representation for facial understanding in natural images", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2013.03.003"]}, {"id": "5a34a9bb264a2594c02b5f46b038aa1ec3389072", "title": "Label-Embedding for Image Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.08677.pdf"], "doi": []}, {"id": "fdbe7c520568d9a32048270d2c87113c635dc7e6", "title": "Live Stream Oriented Age and Gender Estimation using Boosted LBP Histograms Comparisons", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fdbe/7c520568d9a32048270d2c87113c635dc7e6.pdf"], "doi": []}, {"id": "3690af0af51a067750f664c08e48b486d1cd476d", "title": "A Mixture of Two Gender Classification Experts", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6382763", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.41", "http://doi.org/10.1109/SIBGRAPI.2012.41"]}, {"id": "17189cfedbdbd219849b8e7f8cf0293d49465f9c", "title": "Investigating 3D model and part information for improving content-based and attribute-based object retrieval", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2396505"]}, {"id": "14a5feadd4209d21fa308e7a942967ea7c13b7b6", "title": "Content-based vehicle retrieval using 3D model and part information", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0001025.pdf", "http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0001025.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6288060", "http://doi.org/10.1109/ICASSP.2012.6288060"]}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.031"]}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "729a9d35bc291cc7117b924219bef89a864ce62c", "title": "Recognizing Material Properties from Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03127.pdf"], "doi": []}, {"id": "09071e54b012fd8b14aa351a73d44190707b1409", "title": "Reasoning Across Language and Vision in Machines and Humans", "year": "2013", "pdf": [], "doi": []}, {"id": "1d7ecdcb63b20efb68bcc6fd99b1c24aa6508de9", "title": "The Hidden Sides of Names\u2014Face Modeling with First Name Attributes", "year": "2014", "pdf": ["http://web.stanford.edu/~bgirod/pdfs/ChenHuizhongTransPAMISep2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722940", "http://doi.org/10.1109/TPAMI.2014.2302443", "https://www.ncbi.nlm.nih.gov/pubmed/26352237", "https://www.wikidata.org/entity/Q40559758"]}, {"id": "02e43d9ca736802d72824892c864e8cfde13718e", "title": "Transferring a semantic representation for person re-identification and search", "year": "2015", "pdf": ["https://arxiv.org/pdf/1706.03725.pdf"], "doi": []}, {"id": "3c1f5580a66c9624c77f27ab8e4cf0d1b3d9d171", "title": "SkyFinder: attribute-based sky image search", "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1531374"]}, {"id": "50d15cb17144344bb1879c0a5de7207471b9ff74", "title": "Divide , Share , and Conquer : Multitask Attribute Learning with Selective Sharing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/50d1/5cb17144344bb1879c0a5de7207471b9ff74.pdf"], "doi": []}, {"id": "9ce4541d21ee3511bf3dc55bc3cd01222194d95a", "title": "Face inpainting based on high-level facial attributes", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.05.008"]}, {"id": "97c554fbcf783d554c4f6c2f3fcc0a0f9dba0759", "title": "Sparse Feature Preservation for Relative Attribute Learning", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7823652", "http://doi.ieeecomputersociety.org/10.1109/ISM.2016.0085", "http://doi.org/10.1109/ISM.2016.0085"]}, {"id": "eba4cfd76f99159ccc0a65cab0a02db42b548d85", "title": "Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/spoken_attributes.pdf", "http://uvu.eecs.utk.edu/wp-content/uploads/2018/08/spoken_attributes.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Sadovnik_Spoken_Attributes_Mixing_2013_ICCV_paper.pdf", "https://www.cc.gatech.edu/~parikh/Publications/Sadovnik_ICCV_2013_saying_the_right_thing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751379", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.268", "http://doi.org/10.1109/ICCV.2013.268"]}, {"id": "2163c401f6345350e38b2ce6f39a42871fb22c84", "title": "On the effectiveness of soft biometrics for increasing face verification rates", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.003"]}, {"id": "4c72a51a7c7288e6e17dfefe4f87df47929608e7", "title": "Automatic Face Recognition of Newborns, Infants, and Toddlers: A Longitudinal Evaluation", "year": "2016", "pdf": ["http://biometrics.cse.msu.edu/Presentations/BestRowden_ChildFaceRecognition_BIOSIG_slides.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowdenHooleJain_FaceRecInfantsToddlers_BioSIG2016.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowden_FaceRecInfantsToddlers_BioSIG2016_WebsiteToAppear.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowden_IEEE_FaceRecInfantsToddlers_SubmittedIEEE_v2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736912", "http://doi.org/10.1109/BIOSIG.2016.7736912", "https://dl.gi.de/20.500.12116/1242"]}, {"id": "c4f1fcd0a5cdaad8b920ee8188a8557b6086c1a4", "title": "The Ignorant Led by the Blind: A Hybrid Human\u2013Machine Vision System for Fine-Grained Categorization", "year": "2014", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2015/02/ijcv2014.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0698-4"]}, {"id": "aafb271684a52a0b23debb3a5793eb618940c5dd", "title": "Hierarchical semantic indexing for large scale image retrieval", "year": "2011", "pdf": ["http://acberg.com/papers/0857.pdf", "http://acberg.com/papers/hierarchical_semantic_indexing.pdf", "http://cs.stanford.edu/groups/vision/documents/DengBergFei-Fei_CVPR2011_supp.pdf", "http://vision.stanford.edu/documents/DengBergFei-Fei_CVPR2011_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995516", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995516", "http://doi.org/10.1109/CVPR.2011.5995516"]}, {"id": "3ab036b680e8408ec74f78a918f3ffbf6c906d70", "title": "Saying What You're Looking For: Linguistics Meets Video Search", "year": "2016", "pdf": ["https://arxiv.org/pdf/1309.5174.pdf"], "doi": []}, {"id": "3fd90098551bf88c7509521adf1c0ba9b5dfeb57", "title": "Attribute-Based Classification for Zero-Shot Visual Object Categorization", "year": "2014", "pdf": ["http://pub.ist.ac.at/~chl/papers/lampert-pami2013.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/zsl2016/zslpubs/lampert13pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6571196", "http://doi.org/10.1109/TPAMI.2013.140", "https://www.ncbi.nlm.nih.gov/pubmed/24457503", "https://www.wikidata.org/entity/Q38437353"]}, {"id": "6baaa8b763cc5553715766e7fbe7abb235fae33c", "title": "Facial Attributes Classification Using Multi-task Representation Learning", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Ehrlich_Facial_Attributes_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789589", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.99", "http://doi.org/10.1109/CVPRW.2016.99"]}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/fddb.json b/site/datasets/unknown/fddb.json
index e469733f..987c1dfb 100644
--- a/site/datasets/unknown/fddb.json
+++ b/site/datasets/unknown/fddb.json
@@ -1 +1 @@
-{"id": "75da1df4ed319926c544eefe17ec8d720feef8c0", "citations": [{"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "1a89f67e8578659e02d3fb94a1c258a80fde8993", "title": "Controlling Humanoid Robot Using Head Movements", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a89/f67e8578659e02d3fb94a1c258a80fde8993.pdf"], "doi": []}, {"id": "19ddb005ddfbdec5109f6fd0672b38d6079753b1", "title": "Adaptive Thresholds for Robust Face Detection with a Short Cascade of Classifiers", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7081521"]}, {"id": "2f16459e2e24dc91b3b4cac7c6294387d4a0eacf", "title": "Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining", "year": "2018", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2017/triantafyllidou_nousi_tefas_big_data_and_neural_networks.pdf"], "doi": ["http://doi.org/10.1016/j.bdr.2017.06.002"]}, {"id": "f3a4599d501717db1714140a0425971ef4f330ff", "title": "A Novel Face Detection Algorithm for Occluded Images based on the Geometrical Model of Nose Point Extraction", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.12792/icisip2016.050", "https://www2.ia-engineers.org/conference/index.php/icisip/icisip2016/paper/viewFile/1176/764"]}, {"id": "c21b8b8cd5708111ea21d8095c075aef1598efcd", "title": "A novel pixel neighborhood differential statistic feature for pedestrian and face detection", "year": "2017", "pdf": ["http://vahabonline.com/wp-content/uploads/2017/08/A-novel-pixel-neighborhood-differential-statistic__dvfd.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.09.010"]}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "9a90ce38c5ad0fdfd18463a5ad8ff76ff625229e", "title": "IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575253"]}, {"id": "dd41010faa2c848729bc79614f1846a2267f1904", "title": "Cascaded Random Forest for Fast Object Detection", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/dd41/010faa2c848729bc79614f1846a2267f1904.pdf"], "doi": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "61db7d306bde0622685450ca38d26da33e00d3b1", "title": "A robust SVM classification framework using PSM for multi-class recognition", "year": "2015", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-015-0061-x"], "doi": ["https://doi.org/10.1186/s13640-015-0061-x"]}, {"id": "86b69b3718b9350c9d2008880ce88cd035828432", "title": "Improving face image extraction by using deep learning technique", "year": "2016", "pdf": ["https://lhncbc.nlm.nih.gov/system/files/pub9332.pdf"], "doi": ["https://doi.org/10.1117/12.2216278"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "f4746bd863991c55a1139982c15d9e49a5f9e905", "title": "Detection of reactions to sound via gaze and global eye motion analysis using camera streaming", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-0952-9"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "e585dc6c810264d9f07e38c412379734a920714e", "title": "Facing reality: an industrial view on large scale use of facial expression analysis", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531926"]}, {"id": "4af89578ac237278be310f7660a408b03f12d603", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"], "doi": []}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "0916866570527b609566404ab80ae066cbd3ca7c", "title": "A Survey of Recent Advances in Face Detection", "year": "2010", "pdf": [], "doi": []}, {"id": "6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd", "title": "Multi-Scale Fully Convolutional Network for Fast Face Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f7d/06ced04ead3b9a5da86b37e7c27bfcedbbdd.pdf"], "doi": []}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "14d4c019c3eac3c3fa888cb8c184f31457eced02", "title": "Robust Subspace Discovery via Relaxed Rank Minimization", "year": "2014", "pdf": ["http://ita.ucsd.edu/workshop/13/files/paper/paper_2646.pdf", "http://mc.eistar.net/~xwang/res/subspace_v7.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/subspace_v7.pdf", "http://pages.ucsd.edu/~ztu/publication/NECO-Subspace.pdf", "http://yima.csl.illinois.edu/psfile/subspace_discovery_v7.pdf"], "doi": ["https://doi.org/10.1162/NECO_a_00555", "http://dspace.mit.edu/openaccess-disseminate/1721.1/87586", "https://www.ncbi.nlm.nih.gov/pubmed/24320845", "https://www.wikidata.org/entity/Q46288980"]}, {"id": "5d32b19bf1c250c811ba56c37e87b8acda27aef1", "title": "Face region authentication and recovery system based on SPIHT and watermarking", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-014-2006-2"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461885", "http://doi.org/10.1109/TPAMI.2013.37", "https://www.ncbi.nlm.nih.gov/pubmed/23969391", "https://www.wikidata.org/entity/Q51170597"]}, {"id": "f8f57790f190cc7fbbb7d5fdbbf7545e11e91b67", "title": "Automatic stenosis detection using SVM from CTA projection images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00530-017-0578-1"]}, {"id": "2d88e7922d9f046ace0234f9f96f570ee848a5b5", "title": "Building Better Detection with Privileged Information", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d88/e7922d9f046ace0234f9f96f570ee848a5b5.pdf"], "doi": []}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "a533ce73fe37e304bf47218a4acb817402086674", "title": "Content-based Video Summarization in Object Maps", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/a533/ce73fe37e304bf47218a4acb817402086674.pdf"], "doi": []}, {"id": "8a6033cbba8598945bfadd2dd04023c2a9f31681", "title": "3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Xiao_3D-Assisted_Coarse-To-Fine_Extreme-Pose_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014991", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.257", "http://doi.org/10.1109/CVPRW.2017.257"]}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.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": "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "title": "Learning Flexible Block based Local Binary Patterns for unconstrained face detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890187"]}, {"id": "5cfe03c5a0518fe554f4c6709bbee8fa1f3ed0e8", "title": "How Useful Is Image Super-resolution to Other Vision Tasks?", "year": "2015", "pdf": [], "doi": []}, {"id": "919a0935d8d127aa5cea44327fc8f47f9724e5d9", "title": "Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/919a/0935d8d127aa5cea44327fc8f47f9724e5d9.pdf"], "doi": []}, {"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": "b3c60b642a1c64699ed069e3740a0edeabf1922c", "title": "Max-Margin Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00046.pdf"], "doi": []}, {"id": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "pdf": [], "doi": []}, {"id": "2c61a9e26557dd0fe824909adeadf22a6a0d86b0", "title": "Convolutional Channel Features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07339.pdf"], "doi": []}, {"id": "aa331fe378056b6d6031bb8fe6676e035ed60d6d", "title": "Object detection using boosted local binaries", "year": "2016", "pdf": ["http://www.cs.sfu.ca/~li/papers-on-line/Haoyu-PR-2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.010"]}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "2c1d07f7dad8ab306ee02d58ab9698b436b1cc47", "title": "Exploiting Object Characteristics Using Custom Features for Boosting-Based Classification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2c1d/07f7dad8ab306ee02d58ab9698b436b1cc47.pdf"], "doi": []}, {"id": "84dcf04802743d9907b5b3ae28b19cbbacd97981", "title": "Face Detection using Deep Learning: An Improved Faster RCNN Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08289.pdf"], "doi": []}, {"id": "d689063294e217f1ec8b83fe4b60e706f1934787", "title": "Simultaneous Face Detection and Pose Estimation Using Convolutional Neural Network Cascade", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8458127", "http://doi.org/10.1109/ACCESS.2018.2869465"]}, {"id": "59c194bc84d604baf09241238dc47806a998df70", "title": "Building a post-compression region-of-interest encryption framework for existing video surveillance systems", "year": "2015", "pdf": ["http://wavelab.at/papers/Unterweger15a.pdf"], "doi": ["http://doi.org/10.1007/s00530-015-0473-6"]}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "e98a30293a80976aa79259d8cae2d06d43f0918e", "title": "An Evidential Pixel-Based Face Blurring Approach", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e98a/30293a80976aa79259d8cae2d06d43f0918e.pdf"], "doi": []}, {"id": "7f5b379b12505d60f9303aab1fea48515d36d098", "title": "Performance Comparison of Deep Learning Techniques for Recognizing Birds in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411873", "http://doi.ieeecomputersociety.org/10.1109/DSC.2018.00052", "http://doi.org/10.1109/DSC.2018.00052"]}, {"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": "01125423805e2d140ccb96f33c197ab97f6d4902", "title": "Vehicle detection in aerial imagery : A small target detection benchmark", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.11.002", "https://hal.archives-ouvertes.fr/hal-01122605/document", "https://hal.archives-ouvertes.fr/hal-01122605v2/document"]}, {"id": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "4bf0f8fcc904e7b51a6adb15cd60d4edd950b859", "title": "Detecting and Counting Panicles in Sorghum Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8631417"]}, {"id": "5a7525a6ceb754ce4ed28d8f323c6e52e276bba7", "title": "Accelerating Boosting-Based Face Detection on GPUs", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6337592"]}, {"id": "ad75879082132a73fe173a890a0f414f2c279739", "title": "A comparison of CNN-based face and head detectors for real-time video surveillance applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.03336.pdf"], "doi": []}, {"id": "bd90d371dc333aa5a1dd127dbd85670273b32fc7", "title": "Object Detection with Deep Learning: A Review", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05511.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": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "66490b5869822b31d32af7108eaff193fbdb37b0", "title": "Cascade Multi-View Hourglass Model for Robust 3D Face Alignment", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2018_3dalignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373857", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00064", "http://doi.org/10.1109/FG.2018.00064"]}, {"id": "4700f5954dd9873fbe5b88a7629b71074a95b3c6", "title": "Adapting Classification Cascades to New Domains", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751122"]}, {"id": "5d233e6f23b1c306cf62af49ce66faac2078f967", "title": "Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial Emotions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5d23/3e6f23b1c306cf62af49ce66faac2078f967.pdf"], "doi": []}, {"id": "d0fe28afd4b2ab64cf84346ac5d75d5fe6788e4e", "title": "Robust face detection using local CNN and SVM based on kernel combination", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.10.139"]}, {"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": "ef5c7e79f3157af726b118316752fded48f2eba3", "title": "Face detection using single cascade of customized features discriminators", "year": "2012", "pdf": [], "doi": []}, {"id": "bdfcc45cfa495939789b73eec7e6e98a4d7e3f41", "title": "A Real-Time Face Detector Based on an End-to-End CNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275797"]}, {"id": "0af4b7b0cc01fbdae6ba973ed0ae420708d3b051", "title": "Face Detection Based on Multi-parts and Multi-features", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7424575"]}, {"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": "795aa8064b34c4bf4acdd8be3f1e5d06da5a7756", "title": "Face-MagNet: Magnifying Feature Maps to Detect Small Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05258.pdf"], "doi": []}, {"id": "13b91ecf02ffeb91497b45a890732818052f5541", "title": "Finding Tiny Faces in the Wild with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578108"]}, {"id": "4e27fec1703408d524d6b7ed805cdb6cba6ca132", "title": "SSD-Sface: Single shot multibox detector for small faces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7714/a5aa27ab5ad4d06a81fbb3e973d3b1002ac1.pdf"], "doi": []}, {"id": "a53a20b01e93f04a37e0ce74100a658d6443591a", "title": "A Kernel matching approach for eye detection in surveillance images", "year": "2017", "pdf": [], "doi": []}, {"id": "020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb", "title": "An Efficient and Flexible FPGA Implementation of a Face Detection System", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/020d/97ca2bf617b7ffed5a31aa8a27ffa5efadbb.pdf"], "doi": []}, {"id": "1c46a33da36d47356cd9189a41c55ac9f5d34847", "title": "An Study on Ear Detection and Its Applications to Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1c46/a33da36d47356cd9189a41c55ac9f5d34847.pdf"], "doi": []}, {"id": "bb070c019c0885232f114c7dca970d2afd9cd828", "title": "A Novel Landmark Detector System for Multi Resolution Frontal Faces", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008089", "http://doi.org/10.1109/DICTA.2014.7008089"]}, {"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": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "f531ce18befc03489f647560ad3e5639566b39dc", "title": "Boosting Speed and Accuracy in Deformable Part Models for Face Image in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422386", "http://doi.ieeecomputersociety.org/10.1109/ACOMP.2015.9", "http://doi.org/10.1109/ACOMP.2015.9"]}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"], "doi": []}, {"id": "9bbaaf095eadd40e3b0f261edf483ad1ae4f3137", "title": "Convolutional herbal prescription building method from multi-scale facial features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.06847.pdf"], "doi": []}, {"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": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "2f5ae4d6cd240ec7bc3f8ada47030e8439125df2", "title": "Efficient Boosted Exemplar-Based Face Detection", "year": "2014", "pdf": ["http://personal.stevens.edu/~hli18/papers/CVPR2014ExemplarFaceDetection_CameraReady.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr14_exemplarfacedetection.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Li_Efficient_Boosted_Exemplar-based_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909634", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.238", "http://doi.org/10.1109/CVPR.2014.238"]}, {"id": "d0ea54f1a97a1922c679f88c6167328da472a259", "title": "Unconstrained Face Detection", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d0ea/54f1a97a1922c679f88c6167328da472a259.pdf"], "doi": []}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "65e68384a832282d5e894a3d1e62127475b68754", "title": "Image Cropping Based on Saliency and Semantics", "year": "2017", "pdf": [], "doi": []}, {"id": "c2d39d5a0f476f8fe06a1d8023301e3b3b45236f", "title": "Fast Face Detector Training Using Tailored Views", "year": "2013", "pdf": ["http://users.cecs.anu.edu.au/~jpetterson//papers/2013/KriFerPetBlaetal13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Scherbaum_Fast_Face_Detector_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751465", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.354", "http://doi.org/10.1109/ICCV.2013.354"]}, {"id": "9e09c86543d4b9207ce6216775d7e094d9046120", "title": "Face Detection with Deep Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9e09/c86543d4b9207ce6216775d7e094d9046120.pdf"], "doi": []}, {"id": "aac101dd321e6d2199d8c0b48c543b541c181b66", "title": "USING CONTEXT TO ENHANCE THE UNDERSTANDING OF FACE IMAGES", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/aac1/01dd321e6d2199d8c0b48c543b541c181b66.pdf"], "doi": []}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "10fc3d49c840329db0d2f6d83ab5f2b0bc058a4e", "title": "D\u00e9tection radiale de visages sur images omnidirectionnelles", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a32/c7658757c45fa1f97b48301c00e26d55d070.pdf"], "doi": []}, {"id": "94edf9873c51999a109ff544fb034047708dbb35", "title": "Face and Human Detection Using Gradient Pattern with Binary Histogram Technique", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/94ed/f9873c51999a109ff544fb034047708dbb35.pdf"], "doi": []}, {"id": "085913122bb75391ea8c73f2625f4679fe9cb3b1", "title": "Vector array based Multi-View Face Detection with compound exemplars", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248053", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248053", "http://doi.org/10.1109/CVPR.2012.6248053"]}, {"id": "1add90a3b956011e1503a6d4bdbf41842299bb99", "title": "Detection and matching of facial marks in face images", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1add/90a3b956011e1503a6d4bdbf41842299bb99.pdf"], "doi": []}, {"id": "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "title": "Viola-Jones based detectors: how much affects the training set?", "year": "2011", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15079/5/C075_LNCS_IBPRIA11_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-21257-4_37"]}, {"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": "cbc2de9b919bc63590b6ee2dfd9dda134af45286", "title": "Direct face detection and video reconstruction from event cameras", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477561", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477561", "http://doi.org/10.1109/WACV.2016.7477561"]}, {"id": "cead57f2f7f7b733f4524c4b5a7ba7f271749b5f", "title": "Improving Face Detection Performance by Skin Detection Post-Processing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097326", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.46", "http://doi.org/10.1109/SIBGRAPI.2017.46"]}, {"id": "0c36c988acc9ec239953ff1b3931799af388ef70", "title": "Face Detection Using Improved Faster RCNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02142.pdf"], "doi": []}, {"id": "47294b53e0af2be666867e914b8788a73feb3753", "title": "An FPGA-based Parallel Hardware Architecture for Real-time Eye Detection", "year": "2012", "pdf": ["http://ocean.kisti.re.kr/downfile/volume/ieek/E1STAN/2012/v12n2/E1STAN_2012_v12n2_150.pdf", "http://www.jsts.org/html/journal/journal_files/2012/06/Year2012Volume12_02_04.pdf", "https://pdfs.semanticscholar.org/4729/4b53e0af2be666867e914b8788a73feb3753.pdf"], "doi": ["https://doi.org/10.5573/JSTS.2012.12.2.150"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, {"id": "3e55a750f1fc64ae25cc510beb7aaa8fa4e009d3", "title": "Using social semantic knowledge to improve annotations in personal photo collections", "year": "2014", "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": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "8518933a8e23833326011b3993af0335f4c83c49", "title": "Effects of the Unscented Kalman Filter Process for High Performance Face Detector", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8518/933a8e23833326011b3993af0335f4c83c49.pdf"], "doi": []}, {"id": "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "title": "Supervised Transformer Network for Efficient Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05477.pdf"], "doi": []}, {"id": "37f25732397864b739714aac001ea1574d813b0d", "title": "Face pixel detection using evidential calibration and fusion", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ijar.2017.09.002"]}, {"id": "be892645c24f800b9b615b496172cd9fac8d5fe8", "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578686"]}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "9467791cf63d3c8bf6e92c1786c91c9cf86ba256", "title": "A low-power Adaboost-based object detection processor using Haar-like features", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6697982"]}, {"id": "121af7d7fc747c4b36d00668a63c58ee5b368f97", "title": "Data driven analysis of faces from images", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/121a/f7d7fc747c4b36d00668a63c58ee5b368f97.pdf"], "doi": []}, {"id": "940a675de8a48b54bac6b420f551529d2bc53b99", "title": "Advances , Challenges , and Opportunities in Automatic Facial Expression Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/940a/675de8a48b54bac6b420f551529d2bc53b99.pdf"], "doi": []}, {"id": "24d376e4d580fb28fd66bc5e7681f1a8db3b6b78", "title": "Multi-Branch Fully Convolutional Network for Face Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06330.pdf"], "doi": []}, {"id": "de40c5b69c7d3dbb919e89b34c821afc44975278", "title": "FaceMatch: Real-World Face Image Retrieval", "year": "2016", "pdf": ["https://lhncbc.nlm.nih.gov/system/files/pub9450.pdf"], "doi": ["https://doi.org/10.1007/978-981-10-4859-3_36"]}, {"id": "b0c512fcfb7bd6c500429cbda963e28850f2e948", "title": "A Fast and Accurate Unconstrained Face Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1408.1656.pdf"], "doi": []}, {"id": "4c7470fe759b83a104fb6be5190877e96787ed96", "title": "Face detection based on skin color likelihood", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2013.11.005"]}, {"id": "250ebcd1a8da31f0071d07954eea4426bb80644c", "title": "DenseBox: Unifying Landmark Localization with End to End Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.04874.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "6e9862146e7e081429da233960ba0dfa9e400fc2", "title": "Cross-Spectral Cross-Resolution Face Recognition in Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e98/62146e7e081429da233960ba0dfa9e400fc2.pdf"], "doi": []}, {"id": "8534eea03b25a3cb03f800c149b6e5f2608481a7", "title": "CVUCAMS: Computer Vision Based Unobtrusive Classroom Attendance Management System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8433466"]}, {"id": "544c5a8d30cd39b7797105b1e7c7e79264c1b1c3", "title": "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578342"]}, {"id": "2e16f75194e2c29329b55ea8b82d1ca26ff01fdc", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438999"]}, {"id": "e21d96a85df0d2d8cd685316efa216b61a0e1ba8", "title": "A fusion method for blurring faces on platforms using belief functions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e21d/96a85df0d2d8cd685316efa216b61a0e1ba8.pdf"], "doi": []}, {"id": "41ad3d007a217890baef80c9b18fa45d2c82c0e2", "title": "Mobile Face Tracking: A Survey and Benchmark.", "year": "2018", "pdf": [], "doi": []}, {"id": "31d51e48dbd9e7253eafe0719f3788adb564a971", "title": "Visual Phrases for Exemplar Face Detection", "year": "2015", "pdf": ["http://cvit.iiit.ac.in/projects/exemplar/vijayICCV15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410588", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.231", "http://doi.org/10.1109/ICCV.2015.231"]}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "0d5c01814f64f3be401efa4f6495d2677c16a8d8", "title": "Building an intelligent video and image analysis evaluation platform for public security", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078472", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078472", "http://doi.org/10.1109/AVSS.2017.8078472"]}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830820"]}]}
\ No newline at end of file
+{"id": "75da1df4ed319926c544eefe17ec8d720feef8c0", "citations": [{"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "1a89f67e8578659e02d3fb94a1c258a80fde8993", "title": "Controlling Humanoid Robot Using Head Movements", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a89/f67e8578659e02d3fb94a1c258a80fde8993.pdf"], "doi": []}, {"id": "19ddb005ddfbdec5109f6fd0672b38d6079753b1", "title": "Adaptive Thresholds for Robust Face Detection with a Short Cascade of Classifiers", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7081521"]}, {"id": "2f16459e2e24dc91b3b4cac7c6294387d4a0eacf", "title": "Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining", "year": "2018", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2017/triantafyllidou_nousi_tefas_big_data_and_neural_networks.pdf"], "doi": ["http://doi.org/10.1016/j.bdr.2017.06.002"]}, {"id": "f3a4599d501717db1714140a0425971ef4f330ff", "title": "A Novel Face Detection Algorithm for Occluded Images based on the Geometrical Model of Nose Point Extraction", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.12792/icisip2016.050", "https://www2.ia-engineers.org/conference/index.php/icisip/icisip2016/paper/viewFile/1176/764"]}, {"id": "c21b8b8cd5708111ea21d8095c075aef1598efcd", "title": "A novel pixel neighborhood differential statistic feature for pedestrian and face detection", "year": "2017", "pdf": ["http://vahabonline.com/wp-content/uploads/2017/08/A-novel-pixel-neighborhood-differential-statistic__dvfd.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.09.010"]}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "9a90ce38c5ad0fdfd18463a5ad8ff76ff625229e", "title": "IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575253"]}, {"id": "dd41010faa2c848729bc79614f1846a2267f1904", "title": "Cascaded Random Forest for Fast Object Detection", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/dd41/010faa2c848729bc79614f1846a2267f1904.pdf"], "doi": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "61db7d306bde0622685450ca38d26da33e00d3b1", "title": "A robust SVM classification framework using PSM for multi-class recognition", "year": "2015", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-015-0061-x"], "doi": ["https://doi.org/10.1186/s13640-015-0061-x"]}, {"id": "86b69b3718b9350c9d2008880ce88cd035828432", "title": "Improving face image extraction by using deep learning technique", "year": "2016", "pdf": ["https://lhncbc.nlm.nih.gov/system/files/pub9332.pdf"], "doi": ["https://doi.org/10.1117/12.2216278"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "f4746bd863991c55a1139982c15d9e49a5f9e905", "title": "Detection of reactions to sound via gaze and global eye motion analysis using camera streaming", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-0952-9"]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "e585dc6c810264d9f07e38c412379734a920714e", "title": "Facing reality: an industrial view on large scale use of facial expression analysis", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531926"]}, {"id": "4af89578ac237278be310f7660a408b03f12d603", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"], "doi": []}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "0916866570527b609566404ab80ae066cbd3ca7c", "title": "A Survey of Recent Advances in Face Detection", "year": "2010", "pdf": [], "doi": []}, {"id": "6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd", "title": "Multi-Scale Fully Convolutional Network for Fast Face Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f7d/06ced04ead3b9a5da86b37e7c27bfcedbbdd.pdf"], "doi": []}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "14d4c019c3eac3c3fa888cb8c184f31457eced02", "title": "Robust Subspace Discovery via Relaxed Rank Minimization", "year": "2014", "pdf": ["http://ita.ucsd.edu/workshop/13/files/paper/paper_2646.pdf", "http://mc.eistar.net/~xwang/res/subspace_v7.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/subspace_v7.pdf", "http://pages.ucsd.edu/~ztu/publication/NECO-Subspace.pdf", "http://yima.csl.illinois.edu/psfile/subspace_discovery_v7.pdf"], "doi": ["https://doi.org/10.1162/NECO_a_00555", "http://dspace.mit.edu/openaccess-disseminate/1721.1/87586", "https://www.ncbi.nlm.nih.gov/pubmed/24320845", "https://www.wikidata.org/entity/Q46288980"]}, {"id": "5d32b19bf1c250c811ba56c37e87b8acda27aef1", "title": "Face region authentication and recovery system based on SPIHT and watermarking", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-014-2006-2"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461885", "http://doi.org/10.1109/TPAMI.2013.37", "https://www.ncbi.nlm.nih.gov/pubmed/23969391", "https://www.wikidata.org/entity/Q51170597"]}, {"id": "f8f57790f190cc7fbbb7d5fdbbf7545e11e91b67", "title": "Automatic stenosis detection using SVM from CTA projection images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00530-017-0578-1"]}, {"id": "2d88e7922d9f046ace0234f9f96f570ee848a5b5", "title": "Building Better Detection with Privileged Information", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d88/e7922d9f046ace0234f9f96f570ee848a5b5.pdf"], "doi": []}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "a533ce73fe37e304bf47218a4acb817402086674", "title": "Content-based Video Summarization in Object Maps", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/a533/ce73fe37e304bf47218a4acb817402086674.pdf"], "doi": []}, {"id": "8a6033cbba8598945bfadd2dd04023c2a9f31681", "title": "3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Xiao_3D-Assisted_Coarse-To-Fine_Extreme-Pose_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014991", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.257", "http://doi.org/10.1109/CVPRW.2017.257"]}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.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": "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "title": "Learning Flexible Block based Local Binary Patterns for unconstrained face detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890187"]}, {"id": "5cfe03c5a0518fe554f4c6709bbee8fa1f3ed0e8", "title": "How Useful Is Image Super-resolution to Other Vision Tasks?", "year": "2015", "pdf": [], "doi": []}, {"id": "919a0935d8d127aa5cea44327fc8f47f9724e5d9", "title": "Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/919a/0935d8d127aa5cea44327fc8f47f9724e5d9.pdf"], "doi": []}, {"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": "b3c60b642a1c64699ed069e3740a0edeabf1922c", "title": "Max-Margin Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00046.pdf"], "doi": []}, {"id": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "pdf": [], "doi": []}, {"id": "2c61a9e26557dd0fe824909adeadf22a6a0d86b0", "title": "Convolutional Channel Features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07339.pdf"], "doi": []}, {"id": "aa331fe378056b6d6031bb8fe6676e035ed60d6d", "title": "Object detection using boosted local binaries", "year": "2016", "pdf": ["http://www.cs.sfu.ca/~li/papers-on-line/Haoyu-PR-2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.010"]}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "2c1d07f7dad8ab306ee02d58ab9698b436b1cc47", "title": "Exploiting Object Characteristics Using Custom Features for Boosting-Based Classification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2c1d/07f7dad8ab306ee02d58ab9698b436b1cc47.pdf"], "doi": []}, {"id": "84dcf04802743d9907b5b3ae28b19cbbacd97981", "title": "Face Detection using Deep Learning: An Improved Faster RCNN Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08289.pdf"], "doi": []}, {"id": "d689063294e217f1ec8b83fe4b60e706f1934787", "title": "Simultaneous Face Detection and Pose Estimation Using Convolutional Neural Network Cascade", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8458127", "http://doi.org/10.1109/ACCESS.2018.2869465"]}, {"id": "59c194bc84d604baf09241238dc47806a998df70", "title": "Building a post-compression region-of-interest encryption framework for existing video surveillance systems", "year": "2015", "pdf": ["http://wavelab.at/papers/Unterweger15a.pdf"], "doi": ["http://doi.org/10.1007/s00530-015-0473-6"]}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "e98a30293a80976aa79259d8cae2d06d43f0918e", "title": "An Evidential Pixel-Based Face Blurring Approach", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e98a/30293a80976aa79259d8cae2d06d43f0918e.pdf"], "doi": []}, {"id": "7f5b379b12505d60f9303aab1fea48515d36d098", "title": "Performance Comparison of Deep Learning Techniques for Recognizing Birds in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411873", "http://doi.ieeecomputersociety.org/10.1109/DSC.2018.00052", "http://doi.org/10.1109/DSC.2018.00052"]}, {"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": "01125423805e2d140ccb96f33c197ab97f6d4902", "title": "Vehicle detection in aerial imagery : A small target detection benchmark", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.11.002", "https://hal.archives-ouvertes.fr/hal-01122605/document", "https://hal.archives-ouvertes.fr/hal-01122605v2/document"]}, {"id": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "4bf0f8fcc904e7b51a6adb15cd60d4edd950b859", "title": "Detecting and Counting Panicles in Sorghum Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8631417"]}, {"id": "5a7525a6ceb754ce4ed28d8f323c6e52e276bba7", "title": "Accelerating Boosting-Based Face Detection on GPUs", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6337592"]}, {"id": "ad75879082132a73fe173a890a0f414f2c279739", "title": "A comparison of CNN-based face and head detectors for real-time video surveillance applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.03336.pdf"], "doi": []}, {"id": "bd90d371dc333aa5a1dd127dbd85670273b32fc7", "title": "Object Detection with Deep Learning: A Review", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05511.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": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "66490b5869822b31d32af7108eaff193fbdb37b0", "title": "Cascade Multi-View Hourglass Model for Robust 3D Face Alignment", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2018_3dalignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373857", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00064", "http://doi.org/10.1109/FG.2018.00064"]}, {"id": "4700f5954dd9873fbe5b88a7629b71074a95b3c6", "title": "Adapting Classification Cascades to New Domains", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751122"]}, {"id": "5d233e6f23b1c306cf62af49ce66faac2078f967", "title": "Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial Emotions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5d23/3e6f23b1c306cf62af49ce66faac2078f967.pdf"], "doi": []}, {"id": "d0fe28afd4b2ab64cf84346ac5d75d5fe6788e4e", "title": "Robust face detection using local CNN and SVM based on kernel combination", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.10.139"]}, {"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": "ef5c7e79f3157af726b118316752fded48f2eba3", "title": "Face detection using single cascade of customized features discriminators", "year": "2012", "pdf": [], "doi": []}, {"id": "bdfcc45cfa495939789b73eec7e6e98a4d7e3f41", "title": "A Real-Time Face Detector Based on an End-to-End CNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275797"]}, {"id": "0af4b7b0cc01fbdae6ba973ed0ae420708d3b051", "title": "Face Detection Based on Multi-parts and Multi-features", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7424575"]}, {"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": "795aa8064b34c4bf4acdd8be3f1e5d06da5a7756", "title": "Face-MagNet: Magnifying Feature Maps to Detect Small Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05258.pdf"], "doi": []}, {"id": "13b91ecf02ffeb91497b45a890732818052f5541", "title": "Finding Tiny Faces in the Wild with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578108"]}, {"id": "4e27fec1703408d524d6b7ed805cdb6cba6ca132", "title": "SSD-Sface: Single shot multibox detector for small faces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7714/a5aa27ab5ad4d06a81fbb3e973d3b1002ac1.pdf"], "doi": []}, {"id": "a53a20b01e93f04a37e0ce74100a658d6443591a", "title": "A Kernel matching approach for eye detection in surveillance images", "year": "2017", "pdf": [], "doi": []}, {"id": "020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb", "title": "An Efficient and Flexible FPGA Implementation of a Face Detection System", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/020d/97ca2bf617b7ffed5a31aa8a27ffa5efadbb.pdf"], "doi": []}, {"id": "1c46a33da36d47356cd9189a41c55ac9f5d34847", "title": "An Study on Ear Detection and Its Applications to Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1c46/a33da36d47356cd9189a41c55ac9f5d34847.pdf"], "doi": []}, {"id": "bb070c019c0885232f114c7dca970d2afd9cd828", "title": "A Novel Landmark Detector System for Multi Resolution Frontal Faces", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008089", "http://doi.org/10.1109/DICTA.2014.7008089"]}, {"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": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "f531ce18befc03489f647560ad3e5639566b39dc", "title": "Boosting Speed and Accuracy in Deformable Part Models for Face Image in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422386", "http://doi.ieeecomputersociety.org/10.1109/ACOMP.2015.9", "http://doi.org/10.1109/ACOMP.2015.9"]}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"], "doi": []}, {"id": "9bbaaf095eadd40e3b0f261edf483ad1ae4f3137", "title": "Convolutional herbal prescription building method from multi-scale facial features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.06847.pdf"], "doi": []}, {"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": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "2f5ae4d6cd240ec7bc3f8ada47030e8439125df2", "title": "Efficient Boosted Exemplar-Based Face Detection", "year": "2014", "pdf": ["http://personal.stevens.edu/~hli18/papers/CVPR2014ExemplarFaceDetection_CameraReady.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr14_exemplarfacedetection.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Li_Efficient_Boosted_Exemplar-based_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909634", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.238", "http://doi.org/10.1109/CVPR.2014.238"]}, {"id": "d0ea54f1a97a1922c679f88c6167328da472a259", "title": "Unconstrained Face Detection", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d0ea/54f1a97a1922c679f88c6167328da472a259.pdf"], "doi": []}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "65e68384a832282d5e894a3d1e62127475b68754", "title": "Image Cropping Based on Saliency and Semantics", "year": "2017", "pdf": [], "doi": []}, {"id": "c2d39d5a0f476f8fe06a1d8023301e3b3b45236f", "title": "Fast Face Detector Training Using Tailored Views", "year": "2013", "pdf": ["http://users.cecs.anu.edu.au/~jpetterson//papers/2013/KriFerPetBlaetal13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Scherbaum_Fast_Face_Detector_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751465", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.354", "http://doi.org/10.1109/ICCV.2013.354"]}, {"id": "9e09c86543d4b9207ce6216775d7e094d9046120", "title": "Face Detection with Deep Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9e09/c86543d4b9207ce6216775d7e094d9046120.pdf"], "doi": []}, {"id": "aac101dd321e6d2199d8c0b48c543b541c181b66", "title": "USING CONTEXT TO ENHANCE THE UNDERSTANDING OF FACE IMAGES", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/aac1/01dd321e6d2199d8c0b48c543b541c181b66.pdf"], "doi": []}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "10fc3d49c840329db0d2f6d83ab5f2b0bc058a4e", "title": "D\u00e9tection radiale de visages sur images omnidirectionnelles", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a32/c7658757c45fa1f97b48301c00e26d55d070.pdf"], "doi": []}, {"id": "94edf9873c51999a109ff544fb034047708dbb35", "title": "Face and Human Detection Using Gradient Pattern with Binary Histogram Technique", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/94ed/f9873c51999a109ff544fb034047708dbb35.pdf"], "doi": []}, {"id": "085913122bb75391ea8c73f2625f4679fe9cb3b1", "title": "Vector array based Multi-View Face Detection with compound exemplars", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248053", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248053", "http://doi.org/10.1109/CVPR.2012.6248053"]}, {"id": "1add90a3b956011e1503a6d4bdbf41842299bb99", "title": "Detection and matching of facial marks in face images", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1add/90a3b956011e1503a6d4bdbf41842299bb99.pdf"], "doi": []}, {"id": "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "title": "Viola-Jones based detectors: how much affects the training set?", "year": "2011", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15079/5/C075_LNCS_IBPRIA11_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-21257-4_37"]}, {"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": "cbc2de9b919bc63590b6ee2dfd9dda134af45286", "title": "Direct face detection and video reconstruction from event cameras", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477561", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477561", "http://doi.org/10.1109/WACV.2016.7477561"]}, {"id": "cead57f2f7f7b733f4524c4b5a7ba7f271749b5f", "title": "Improving Face Detection Performance by Skin Detection Post-Processing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097326", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.46", "http://doi.org/10.1109/SIBGRAPI.2017.46"]}, {"id": "0c36c988acc9ec239953ff1b3931799af388ef70", "title": "Face Detection Using Improved Faster RCNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02142.pdf"], "doi": []}, {"id": "47294b53e0af2be666867e914b8788a73feb3753", "title": "An FPGA-based Parallel Hardware Architecture for Real-time Eye Detection", "year": "2012", "pdf": ["http://ocean.kisti.re.kr/downfile/volume/ieek/E1STAN/2012/v12n2/E1STAN_2012_v12n2_150.pdf", "http://www.jsts.org/html/journal/journal_files/2012/06/Year2012Volume12_02_04.pdf", "https://pdfs.semanticscholar.org/4729/4b53e0af2be666867e914b8788a73feb3753.pdf"], "doi": ["https://doi.org/10.5573/JSTS.2012.12.2.150"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, {"id": "3e55a750f1fc64ae25cc510beb7aaa8fa4e009d3", "title": "Using social semantic knowledge to improve annotations in personal photo collections", "year": "2014", "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": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "8518933a8e23833326011b3993af0335f4c83c49", "title": "Effects of the Unscented Kalman Filter Process for High Performance Face Detector", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8518/933a8e23833326011b3993af0335f4c83c49.pdf"], "doi": []}, {"id": "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "title": "Supervised Transformer Network for Efficient Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05477.pdf"], "doi": []}, {"id": "37f25732397864b739714aac001ea1574d813b0d", "title": "Face pixel detection using evidential calibration and fusion", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ijar.2017.09.002"]}, {"id": "be892645c24f800b9b615b496172cd9fac8d5fe8", "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578686"]}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "9467791cf63d3c8bf6e92c1786c91c9cf86ba256", "title": "A low-power Adaboost-based object detection processor using Haar-like features", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6697982"]}, {"id": "121af7d7fc747c4b36d00668a63c58ee5b368f97", "title": "Data driven analysis of faces from images", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/121a/f7d7fc747c4b36d00668a63c58ee5b368f97.pdf"], "doi": []}, {"id": "940a675de8a48b54bac6b420f551529d2bc53b99", "title": "Advances , Challenges , and Opportunities in Automatic Facial Expression Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/940a/675de8a48b54bac6b420f551529d2bc53b99.pdf"], "doi": []}, {"id": "24d376e4d580fb28fd66bc5e7681f1a8db3b6b78", "title": "Multi-Branch Fully Convolutional Network for Face Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06330.pdf"], "doi": []}, {"id": "de40c5b69c7d3dbb919e89b34c821afc44975278", "title": "FaceMatch: Real-World Face Image Retrieval", "year": "2016", "pdf": ["https://lhncbc.nlm.nih.gov/system/files/pub9450.pdf"], "doi": ["https://doi.org/10.1007/978-981-10-4859-3_36"]}, {"id": "b0c512fcfb7bd6c500429cbda963e28850f2e948", "title": "A Fast and Accurate Unconstrained Face Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1408.1656.pdf"], "doi": []}, {"id": "4c7470fe759b83a104fb6be5190877e96787ed96", "title": "Face detection based on skin color likelihood", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2013.11.005"]}, {"id": "250ebcd1a8da31f0071d07954eea4426bb80644c", "title": "DenseBox: Unifying Landmark Localization with End to End Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.04874.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "6e9862146e7e081429da233960ba0dfa9e400fc2", "title": "Cross-Spectral Cross-Resolution Face Recognition in Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e98/62146e7e081429da233960ba0dfa9e400fc2.pdf"], "doi": []}, {"id": "8534eea03b25a3cb03f800c149b6e5f2608481a7", "title": "CVUCAMS: Computer Vision Based Unobtrusive Classroom Attendance Management System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8433466"]}, {"id": "544c5a8d30cd39b7797105b1e7c7e79264c1b1c3", "title": "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578342"]}, {"id": "2e16f75194e2c29329b55ea8b82d1ca26ff01fdc", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438999"]}, {"id": "e21d96a85df0d2d8cd685316efa216b61a0e1ba8", "title": "A fusion method for blurring faces on platforms using belief functions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e21d/96a85df0d2d8cd685316efa216b61a0e1ba8.pdf"], "doi": []}, {"id": "41ad3d007a217890baef80c9b18fa45d2c82c0e2", "title": "Mobile Face Tracking: A Survey and Benchmark.", "year": "2018", "pdf": [], "doi": []}, {"id": "31d51e48dbd9e7253eafe0719f3788adb564a971", "title": "Visual Phrases for Exemplar Face Detection", "year": "2015", "pdf": ["http://cvit.iiit.ac.in/projects/exemplar/vijayICCV15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410588", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.231", "http://doi.org/10.1109/ICCV.2015.231"]}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "0d5c01814f64f3be401efa4f6495d2677c16a8d8", "title": "Building an intelligent video and image analysis evaluation platform for public security", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078472", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078472", "http://doi.org/10.1109/AVSS.2017.8078472"]}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830820"]}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/fiw_300.json b/site/datasets/unknown/fiw_300.json
index da50b21b..f6301b8f 100644
--- a/site/datasets/unknown/fiw_300.json
+++ b/site/datasets/unknown/fiw_300.json
@@ -1 +1 @@
-{"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "citations": [{"id": "20532b1f80b509f2332b6cfc0126c0f80f438f10", "title": "A Deep Matrix Factorization Method for Learning Attribute Representations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.03248.pdf"], "doi": []}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.008"]}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "350108a9dbb746dc6f127d98342c07d8019e3f46", "title": "Multi-view facial landmark detection by using a 3D shape model", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.003"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "621c08bd34297627c9b7ec7f7eb7a47b8d602a97", "title": "Synergy between Face Alignment and Tracking via Discriminative Global Consensus Optimization", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/44755/1/1859.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Khan_Synergy_Between_Face_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237671", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.409", "http://doi.org/10.1109/ICCV.2017.409"]}, {"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": "0c1314d98bb6b99af00817644c1803dbc0fb5ff5", "title": "Model of Human Visual Cortex Inspired Computational Models for Visual Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153860", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.29", "http://doi.org/10.1109/BigMM.2015.29"]}, {"id": "6e48b90fd1eed0c2e2f3b1a22a09b2675c1aaa02", "title": "Developing an Affect-Aware Rear-Projected Robotic Agent", "year": "2018", "pdf": [], "doi": []}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "b45a9f95980c434582c920bf15a8099ec267c1f7", "title": "Robust Kronecker Component Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06432.pdf"], "doi": []}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "0a1138276c52c734b67b30de0bf3f76b0351f097", "title": "Discriminant Incoherent Component Analysis", "year": "2016", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/georgakis_dica.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428896", "http://doi.org/10.1109/TIP.2016.2539502", "https://www.ncbi.nlm.nih.gov/pubmed/27008268", "https://www.ncbi.nlm.nih.gov/pubmed/28113464", "https://www.wikidata.org/entity/Q39005047"]}, {"id": "a9116f261c1b6ca543cba3ee95f846ef3934efad", "title": "Facial Component-Landmark Detection With Weakly-Supervised LR-CNN", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598858"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "5aafca76dbbbbaefd82f5f0265776afb5320dafe", "title": "Empirical analysis of cascade deformable models for multi-view face detection", "year": "2015", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_empirical_analysis_of_cascade_deformable_models_for_multi-view_face_detection.pdf", "http://doc.utwente.nl/95219/1/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://eprints.eemcs.utwente.nl/24551/01/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/jorozco_imavis_2015.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.07.002"]}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "title": "Adversarially Optimizing Intersection over Union for Object Localization Tasks", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1710.07735"]}, {"id": "8e36100cb144685c26e46ad034c524b830b8b2f2", "title": "Modeling Facial Geometry using Compositional", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8e36/100cb144685c26e46ad034c524b830b8b2f2.pdf"], "doi": []}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "6f2dc51d607f491dbe6338711c073620c85351ac", "title": "Capturing correlations of local features for image representation", "year": "2016", "pdf": ["http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/2Pool_nc_20150720.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.07.134"]}, {"id": "3727ac3d50e31a394b200029b2c350073c1b69e3", "title": "Facial Expression Recognition from World Wild Web", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03639.pdf"], "doi": []}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "2f9c173ccd8c1e6b88d7fb95d6679838bc9ca51d", "title": "Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02917.pdf"], "doi": []}, {"id": "64cac22210861d4e9afb00b781da90cf99f9d19c", "title": "Facial Landmark Detection for Manga Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03214.pdf"], "doi": []}, {"id": "58823377757e7dc92f3b70a973be697651089756", "title": "Automatic facial expression analysis", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-861.pdf", "http://www.cl.cam.ac.uk/~tb346/pub/thesis/phd_thesis.pdf"], "doi": ["http://doi.org/10.17863/CAM.16382", "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600539"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "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": "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "title": "An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371751", "http://doi.org/10.1109/KSE.2015.50"]}, {"id": "48e77ff21d8fccccd9709b02f2de94b331c503d6", "title": "Modeling Facial Geometry Using Compositional VAEs", "year": "2018", "pdf": ["https://infoscience.epfl.ch/record/255014/files/bagautdinov.cvae.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578506", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00408", "http://doi.org/10.1109/CVPR.2018.00408"]}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.pdf"], "doi": []}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "4a4f0a47de1567f3f913e2632921797df36b2525", "title": "Synthetic Prior Design for Real-Time Face Tracking", "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20161010224923/Synthetic-Prior-Design-for-Real-Time-Face-Tracking-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785140", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.72", "http://doi.org/10.1109/3DV.2016.72"]}, {"id": "b934f730a81c071dbfc08eb4c360d6fca2daa08f", "title": "Characteristic number regression for facial feature extraction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177496", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177496", "http://doi.org/10.1109/ICME.2015.7177496"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5cf12787b9ee536817c0429700c75b98f04192ba", "title": "A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05806.pdf"], "doi": []}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "a6ce2f0795839d9c2543d64a08e043695887e0eb", "title": "Driver Gaze Region Estimation Without Using Eye Movement", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.04760.pdf"], "doi": []}, {"id": "ff93f127081f54855d1612b39260489a2d9baa0b", "title": "Facial 3D model registration under occlusions with sensiblepoints-based reinforced hypothesis refinement", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00531.pdf"], "doi": []}, {"id": "08b70ab782141a2d7003226a0f438a6aea0a0d46", "title": "Parametrizing Fully Convolutional Nets", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08b7/0ab782141a2d7003226a0f438a6aea0a0d46.pdf"], "doi": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406466", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.117", "http://doi.org/10.1109/ICCVW.2015.117"]}, {"id": "b599f323ee17f12bf251aba928b19a09bfbb13bb", "title": "Autonomous Quadcopter Videographer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b599/f323ee17f12bf251aba928b19a09bfbb13bb.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": "0a4f3a423a37588fde9a2db71f114b293fc09c50", "title": "Computer analysis of face beauty: A survey", "year": "2014", "pdf": ["http://porto.polito.it/2541099/1/Analyzing_human_beauty_R2_2.0.pdf", "https://iris.polito.it/retrieve/handle/11583/2541099/62404/Analyzing%20human%20beauty%20-%20R2%20-%202.0.pdf", "https://pdfs.semanticscholar.org/0a4f/3a423a37588fde9a2db71f114b293fc09c50.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.04.006"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "d1777d3ea950e6aac92dd359075701bc28ba1cb2", "title": "Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Gu_Dynamic_Facial_Analysis_CVPR_2017_paper.pdf", "http://research.nvidia.com/sites/default/files/pubs/2017-07_Dynamic-Facial-Analysis/rnnface.pdf", "http://www.gujinwei.org/pdfs/rnnface.pdf", "http://xiaodongyang.org/publications/papers/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.167", "http://doi.org/10.1109/CVPR.2017.167"]}, {"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": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "5aad5e7390211267f3511ffa75c69febe3b84cc7", "title": "Driver Gaze Estimation Without Using Eye Movement", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5aad/5e7390211267f3511ffa75c69febe3b84cc7.pdf"], "doi": []}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"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": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "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": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "e0a57676ca5f7fced9dcf885a60a1967cc21070c", "title": "Development of a Computer Interface for People with Disabilities based on Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e0a5/7676ca5f7fced9dcf885a60a1967cc21070c.pdf"], "doi": []}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "03e88bf3c5ddd44ebf0e580d4bd63072566613ad", "title": "How intelligent are convolutional neural networks?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06126.pdf"], "doi": []}, {"id": "36bb93c4f381adca267191811abb8cc7812363f9", "title": "Quick retrieval method of massive face images based on global feature and local feature fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301987", "http://doi.org/10.1109/CISP-BMEI.2017.8301987"]}, {"id": "c6ea6fee4823b511eecf41f6c2574a0728055baf", "title": "HoloFace: Augmenting Human-to-Human Interactions on HoloLens", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00278.pdf"], "doi": []}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "7f3da52c13c70fd5b93c2ccebdd4a4527fa597fa", "title": "Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7f3d/a52c13c70fd5b93c2ccebdd4a4527fa597fa.pdf"], "doi": []}, {"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": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "726b8aba2095eef076922351e9d3a724bb71cb51", "title": "DFaceNet : Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images", "year": "2017", "pdf": [], "doi": []}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "43fbe350681185ec9a18991dbcb19d694ce4f245", "title": "The Perspective Face Shape Ambiguity", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/43fb/e350681185ec9a18991dbcb19d694ce4f245.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"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": "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": "564babec16b895d385d06d38545febd66ef02f35", "title": "Robust Statistics for Feature-based Active Appearance Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/564b/abec16b895d385d06d38545febd66ef02f35.pdf"], "doi": []}, {"id": "8a6033cbba8598945bfadd2dd04023c2a9f31681", "title": "3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Xiao_3D-Assisted_Coarse-To-Fine_Extreme-Pose_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014991", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.257", "http://doi.org/10.1109/CVPRW.2017.257"]}, {"id": "66e57fe8d2bf08b5783d333c1870591b23008850", "title": "Nonlinear 3D Face Morphable Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578865"]}, {"id": "120785f9b4952734818245cc305148676563a99b", "title": "Diagnostic automatique de l'\u00e9tat d\u00e9pressif(Classification of depressive moods)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1207/85f9b4952734818245cc305148676563a99b.pdf"], "doi": []}, {"id": "0f257ae1829b3250723a87781373d339308ea996", "title": "A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03773.pdf"], "doi": []}, {"id": "7789a5d87884f8bafec8a82085292e87d4e2866f", "title": "A Unified Tensor-based Active Appearance Face Model", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.09548.pdf"], "doi": []}, {"id": "4dfd96f456f18bf678158d158f33929c63b438b8", "title": "Scarce face recognition via two-layer collaborative representation", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0193"]}, {"id": "78f2c8671d1a79c08c80ac857e89315197418472", "title": "Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237443", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.181", "http://doi.org/10.1109/ICCV.2017.181"]}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "6742c0a26315d7354ab6b1fa62a5fffaea06da14", "title": "What does 2 D geometric information really tell us about 3 D face shape ?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae08/778d8003933a02fd90a49b2e5f67ba56ad8d.pdf"], "doi": []}, {"id": "afd3a6dde8fa3b330cb146678731b150213ddd95", "title": "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03146.pdf"], "doi": []}, {"id": "e6e22d8505b98257af88d5dd1863d6b805128913", "title": "A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578151"]}, {"id": "254964096e523d5e48e03390ce440c9af337d200", "title": "Semantically-aware blendshape rigs from facial performance measurements", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3005378"]}, {"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": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "c26b43c2e1e2da96e7caabd46e1d7314acac0992", "title": "Facial Expression Recognition Using Facial Landmarks and Random Forest Classifier", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466510", "http://doi.ieeecomputersociety.org/10.1109/ICIS.2018.8466510", "http://doi.org/10.1109/ICIS.2018.8466510"]}, {"id": "014e3d0fa5248e6f4634dc237e2398160294edce", "title": "What does 2D geometric information really tell us about 3D face shape?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06703.pdf"], "doi": []}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "758d7e1be64cc668c59ef33ba8882c8597406e53", "title": "AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03985.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "citations": [{"id": "20532b1f80b509f2332b6cfc0126c0f80f438f10", "title": "A Deep Matrix Factorization Method for Learning Attribute Representations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.03248.pdf"], "doi": []}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.008"]}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "350108a9dbb746dc6f127d98342c07d8019e3f46", "title": "Multi-view facial landmark detection by using a 3D shape model", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.003"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "621c08bd34297627c9b7ec7f7eb7a47b8d602a97", "title": "Synergy between Face Alignment and Tracking via Discriminative Global Consensus Optimization", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/44755/1/1859.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Khan_Synergy_Between_Face_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237671", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.409", "http://doi.org/10.1109/ICCV.2017.409"]}, {"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": "0c1314d98bb6b99af00817644c1803dbc0fb5ff5", "title": "Model of Human Visual Cortex Inspired Computational Models for Visual Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153860", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.29", "http://doi.org/10.1109/BigMM.2015.29"]}, {"id": "6e48b90fd1eed0c2e2f3b1a22a09b2675c1aaa02", "title": "Developing an Affect-Aware Rear-Projected Robotic Agent", "year": "2018", "pdf": [], "doi": []}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "b45a9f95980c434582c920bf15a8099ec267c1f7", "title": "Robust Kronecker Component Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06432.pdf"], "doi": []}, {"id": "0a1138276c52c734b67b30de0bf3f76b0351f097", "title": "Discriminant Incoherent Component Analysis", "year": "2016", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/georgakis_dica.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428896", "http://doi.org/10.1109/TIP.2016.2539502", "https://www.ncbi.nlm.nih.gov/pubmed/27008268", "https://www.ncbi.nlm.nih.gov/pubmed/28113464", "https://www.wikidata.org/entity/Q39005047"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "5aafca76dbbbbaefd82f5f0265776afb5320dafe", "title": "Empirical analysis of cascade deformable models for multi-view face detection", "year": "2015", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_empirical_analysis_of_cascade_deformable_models_for_multi-view_face_detection.pdf", "http://doc.utwente.nl/95219/1/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://eprints.eemcs.utwente.nl/24551/01/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/jorozco_imavis_2015.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.07.002"]}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "title": "Adversarially Optimizing Intersection over Union for Object Localization Tasks", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1710.07735"]}, {"id": "8e36100cb144685c26e46ad034c524b830b8b2f2", "title": "Modeling Facial Geometry using Compositional", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8e36/100cb144685c26e46ad034c524b830b8b2f2.pdf"], "doi": []}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "6f2dc51d607f491dbe6338711c073620c85351ac", "title": "Capturing correlations of local features for image representation", "year": "2016", "pdf": ["http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/2Pool_nc_20150720.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.07.134"]}, {"id": "3727ac3d50e31a394b200029b2c350073c1b69e3", "title": "Facial Expression Recognition from World Wild Web", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03639.pdf"], "doi": []}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "2f9c173ccd8c1e6b88d7fb95d6679838bc9ca51d", "title": "Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02917.pdf"], "doi": []}, {"id": "64cac22210861d4e9afb00b781da90cf99f9d19c", "title": "Facial Landmark Detection for Manga Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03214.pdf"], "doi": []}, {"id": "58823377757e7dc92f3b70a973be697651089756", "title": "Automatic facial expression analysis", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-861.pdf", "http://www.cl.cam.ac.uk/~tb346/pub/thesis/phd_thesis.pdf"], "doi": ["http://doi.org/10.17863/CAM.16382", "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600539"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "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": "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "title": "An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371751", "http://doi.org/10.1109/KSE.2015.50"]}, {"id": "48e77ff21d8fccccd9709b02f2de94b331c503d6", "title": "Modeling Facial Geometry Using Compositional VAEs", "year": "2018", "pdf": ["https://infoscience.epfl.ch/record/255014/files/bagautdinov.cvae.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578506", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00408", "http://doi.org/10.1109/CVPR.2018.00408"]}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.pdf"], "doi": []}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "4a4f0a47de1567f3f913e2632921797df36b2525", "title": "Synthetic Prior Design for Real-Time Face Tracking", "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20161010224923/Synthetic-Prior-Design-for-Real-Time-Face-Tracking-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785140", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.72", "http://doi.org/10.1109/3DV.2016.72"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5cf12787b9ee536817c0429700c75b98f04192ba", "title": "A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05806.pdf"], "doi": []}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "a6ce2f0795839d9c2543d64a08e043695887e0eb", "title": "Driver Gaze Region Estimation Without Using Eye Movement", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.04760.pdf"], "doi": []}, {"id": "ff93f127081f54855d1612b39260489a2d9baa0b", "title": "Facial 3D model registration under occlusions with sensiblepoints-based reinforced hypothesis refinement", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00531.pdf"], "doi": []}, {"id": "08b70ab782141a2d7003226a0f438a6aea0a0d46", "title": "Parametrizing Fully Convolutional Nets", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08b7/0ab782141a2d7003226a0f438a6aea0a0d46.pdf"], "doi": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406466", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.117", "http://doi.org/10.1109/ICCVW.2015.117"]}, {"id": "b599f323ee17f12bf251aba928b19a09bfbb13bb", "title": "Autonomous Quadcopter Videographer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b599/f323ee17f12bf251aba928b19a09bfbb13bb.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": "0a4f3a423a37588fde9a2db71f114b293fc09c50", "title": "Computer analysis of face beauty: A survey", "year": "2014", "pdf": ["http://porto.polito.it/2541099/1/Analyzing_human_beauty_R2_2.0.pdf", "https://iris.polito.it/retrieve/handle/11583/2541099/62404/Analyzing%20human%20beauty%20-%20R2%20-%202.0.pdf", "https://pdfs.semanticscholar.org/0a4f/3a423a37588fde9a2db71f114b293fc09c50.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.04.006"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "d1777d3ea950e6aac92dd359075701bc28ba1cb2", "title": "Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Gu_Dynamic_Facial_Analysis_CVPR_2017_paper.pdf", "http://research.nvidia.com/sites/default/files/pubs/2017-07_Dynamic-Facial-Analysis/rnnface.pdf", "http://www.gujinwei.org/pdfs/rnnface.pdf", "http://xiaodongyang.org/publications/papers/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.167", "http://doi.org/10.1109/CVPR.2017.167"]}, {"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": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "5aad5e7390211267f3511ffa75c69febe3b84cc7", "title": "Driver Gaze Estimation Without Using Eye Movement", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5aad/5e7390211267f3511ffa75c69febe3b84cc7.pdf"], "doi": []}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"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": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "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": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "e0a57676ca5f7fced9dcf885a60a1967cc21070c", "title": "Development of a Computer Interface for People with Disabilities based on Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e0a5/7676ca5f7fced9dcf885a60a1967cc21070c.pdf"], "doi": []}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "03e88bf3c5ddd44ebf0e580d4bd63072566613ad", "title": "How intelligent are convolutional neural networks?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06126.pdf"], "doi": []}, {"id": "36bb93c4f381adca267191811abb8cc7812363f9", "title": "Quick retrieval method of massive face images based on global feature and local feature fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301987", "http://doi.org/10.1109/CISP-BMEI.2017.8301987"]}, {"id": "c6ea6fee4823b511eecf41f6c2574a0728055baf", "title": "HoloFace: Augmenting Human-to-Human Interactions on HoloLens", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00278.pdf"], "doi": []}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "7f3da52c13c70fd5b93c2ccebdd4a4527fa597fa", "title": "Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7f3d/a52c13c70fd5b93c2ccebdd4a4527fa597fa.pdf"], "doi": []}, {"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": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "726b8aba2095eef076922351e9d3a724bb71cb51", "title": "DFaceNet : Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images", "year": "2017", "pdf": [], "doi": []}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "43fbe350681185ec9a18991dbcb19d694ce4f245", "title": "The Perspective Face Shape Ambiguity", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/43fb/e350681185ec9a18991dbcb19d694ce4f245.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"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": "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": "564babec16b895d385d06d38545febd66ef02f35", "title": "Robust Statistics for Feature-based Active Appearance Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/564b/abec16b895d385d06d38545febd66ef02f35.pdf"], "doi": []}, {"id": "8a6033cbba8598945bfadd2dd04023c2a9f31681", "title": "3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Xiao_3D-Assisted_Coarse-To-Fine_Extreme-Pose_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014991", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.257", "http://doi.org/10.1109/CVPRW.2017.257"]}, {"id": "66e57fe8d2bf08b5783d333c1870591b23008850", "title": "Nonlinear 3D Face Morphable Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578865"]}, {"id": "120785f9b4952734818245cc305148676563a99b", "title": "Diagnostic automatique de l'\u00e9tat d\u00e9pressif(Classification of depressive moods)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1207/85f9b4952734818245cc305148676563a99b.pdf"], "doi": []}, {"id": "0f257ae1829b3250723a87781373d339308ea996", "title": "A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03773.pdf"], "doi": []}, {"id": "7789a5d87884f8bafec8a82085292e87d4e2866f", "title": "A Unified Tensor-based Active Appearance Face Model", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.09548.pdf"], "doi": []}, {"id": "4dfd96f456f18bf678158d158f33929c63b438b8", "title": "Scarce face recognition via two-layer collaborative representation", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0193"]}, {"id": "78f2c8671d1a79c08c80ac857e89315197418472", "title": "Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237443", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.181", "http://doi.org/10.1109/ICCV.2017.181"]}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "6742c0a26315d7354ab6b1fa62a5fffaea06da14", "title": "What does 2 D geometric information really tell us about 3 D face shape ?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae08/778d8003933a02fd90a49b2e5f67ba56ad8d.pdf"], "doi": []}, {"id": "afd3a6dde8fa3b330cb146678731b150213ddd95", "title": "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03146.pdf"], "doi": []}, {"id": "e6e22d8505b98257af88d5dd1863d6b805128913", "title": "A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578151"]}, {"id": "254964096e523d5e48e03390ce440c9af337d200", "title": "Semantically-aware blendshape rigs from facial performance measurements", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3005378"]}, {"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": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "c26b43c2e1e2da96e7caabd46e1d7314acac0992", "title": "Facial Expression Recognition Using Facial Landmarks and Random Forest Classifier", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466510", "http://doi.ieeecomputersociety.org/10.1109/ICIS.2018.8466510", "http://doi.org/10.1109/ICIS.2018.8466510"]}, {"id": "014e3d0fa5248e6f4634dc237e2398160294edce", "title": "What does 2D geometric information really tell us about 3D face shape?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06703.pdf"], "doi": []}, {"id": "758d7e1be64cc668c59ef33ba8882c8597406e53", "title": "AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03985.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/helen.json b/site/datasets/unknown/helen.json
index 56b5121e..a858075c 100644
--- a/site/datasets/unknown/helen.json
+++ b/site/datasets/unknown/helen.json
@@ -1 +1 @@
-{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "citations": [{"id": "4a4f0a47de1567f3f913e2632921797df36b2525", "title": "Synthetic Prior Design for Real-Time Face Tracking", "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20161010224923/Synthetic-Prior-Design-for-Real-Time-Face-Tracking-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785140", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.72", "http://doi.org/10.1109/3DV.2016.72"]}, {"id": "1d49ee6afb82b5fbacf69628f52e76dc33341643", "title": "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578362"]}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "4f742c09ce12859b20deaa372c8f1575acfc99c9", "title": "How do you smile? Towards a comprehensive smile analysis system", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.01.020"]}, {"id": "8a336e9a4c42384d4c505c53fb8628a040f2468e", "title": "Detecting Visually Observable Disease Symptoms from Faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8a33/6e9a4c42384d4c505c53fb8628a040f2468e.pdf"], "doi": []}, {"id": "3c086601ce0bac61047b5b931b253bd4035e1e7a", "title": "Occlusion handling in feature point tracking using ranked parts based models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350897", "http://doi.org/10.1109/ICIP.2015.7350897"]}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "title": "Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision", "year": "2014", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Pedersoli_Using_a_Deformation_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909867", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.472", "http://doi.org/10.1109/CVPR.2014.472"]}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "baffdff4457b1cd1db06b933a67c4d117eec4dbf", "title": "Facelet-Bank for Fast Portrait Manipulation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578471"]}, {"id": "0561bed18b6278434deae562d646e8adad72e75d", "title": "Low rank driven robust facial landmark regression", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.052"]}, {"id": "ca83053d9a790319b11a04eac5ab412e7fcab914", "title": "Efficient generic face model fitting to images and videos", "year": "2014", "pdf": ["http://gec.di.uminho.pt/psantos/Publications_ficheiros/IMAVIS2014-FaceRecognition.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.006", "https://www.wikidata.org/entity/Q50810415"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "64cac22210861d4e9afb00b781da90cf99f9d19c", "title": "Facial Landmark Detection for Manga Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03214.pdf"], "doi": []}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "45429c281e30f9e87ebcd1ae42e0656d2ead24d1", "title": "High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579015"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "94aa8a3787385b13ee7c4fdd2b2b2a574ffcbd81", "title": "Real-time generic face tracking in the wild with CUDA", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2579369"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "8191f76d9df5c59186859c4834026c8e0fb42922", "title": "Deep Semantic Face Deblurring", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578960"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "e97ba85a4550667b8a28f83a98808d489e0ff3bc", "title": "A Research on Fast Face Feature Points Detection on Smart Mobile Devices", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1155/2018%2F9729014", "https://doi.org/10.1155/2018/9729014"]}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "b934f730a81c071dbfc08eb4c360d6fca2daa08f", "title": "Characteristic number regression for facial feature extraction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177496", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177496", "http://doi.org/10.1109/ICME.2015.7177496"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "c41a3c31972cf0c1be6b6895f3bf97181773fcfb", "title": "Accurate Facial Landmarks Detection for Frontal Faces with Extended Tree-Structured Models", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976813", "http://doi.org/10.1109/ICPR.2014.103"]}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "36219a3196aac2bd149bc786f083957a6e6da125", "title": "Recognition of the gaze direction: Anchoring with the eyebrows", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.12.003"]}, {"id": "76dff7008d9b8bf44ec5348f294d5518877c6182", "title": "Discrete area filters in accurate detection of faces and facial features", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.09.004"]}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019363", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019363", "http://doi.org/10.1109/ICME.2017.8019363"]}, {"id": "cbaf7bef33ef0506e507a8910fe5b756e9b20e76", "title": "Robust facial landmark extraction scheme using multiple convolutional neural networks", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6482-7"]}, {"id": "a9116f261c1b6ca543cba3ee95f846ef3934efad", "title": "Facial Component-Landmark Detection With Weakly-Supervised LR-CNN", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598858"]}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "0caef87116f62fcc86735401a9aa9d4e170ffbef", "title": "On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics", "year": "2015", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Das_ITSC2015.pdf", "http://cvrr.ucsd.edu/publications/2015/DasOhnbarTrivedi_ITSC2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313566", "http://doi.org/10.1109/ITSC.2015.473"]}, {"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"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": "9a37f9914c95e64bc0b85e6efa15003fd8852ae8", "title": "Face alignment recurrent network", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2017.09.028"]}, {"id": "9871aa511ca7e3c61c083c327063442bc2c411bf", "title": "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2017.244"]}, {"id": "be69b703f91ab5ff962cd2b7e120eac8e1d3ca3b", "title": "The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014890"]}, {"id": "0e3fcfe63b7b6620e3c47e9751fe3456e85cc52f", "title": "Robust Discriminative Response Map Fitting with Constrained Local Models", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619286"]}, {"id": "0580edbd7865414c62a36da9504d1169dea78d6f", "title": "Baseline CNN structure analysis for facial expression recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04251.pdf"], "doi": []}, {"id": "52275c69a7e414d2b46664ae5f953f544badf8ae", "title": "Two-Staged Algorithm for Eyebrows Segmentation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337413"]}, {"id": "056892b7e573608e64c3c9130e8ce33353a94de2", "title": "Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03328.pdf"], "doi": []}, {"id": "36900a5d2823399379da09978c811b4904f1b7ed", "title": "Accurate Facial Image Parsing at Real-Time Speed.", "year": "2019", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30969921", "https://doi.org/10.1109/TIP.2019.2909652"]}, {"id": "6c409591546a36ed2626f0a459f39c06dfef5c39", "title": "Multiresolution terrain modeling using level curve information", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1016/j.cam.2012.08.003"]}, {"id": "424ed067137aa268ce434cf3c3fa557c4a3c5eeb", "title": "Big Geo Data Surface Approximation using Radial Basis Functions: A Comparative Study", "year": "2017", "pdf": ["https://arxiv.org/pdf/1806.07884.pdf"], "doi": []}, {"id": "564babec16b895d385d06d38545febd66ef02f35", "title": "Robust Statistics for Feature-based Active Appearance Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/564b/abec16b895d385d06d38545febd66ef02f35.pdf"], "doi": []}, {"id": "87fe7ad85d87436a1c990438863d43e0ad2fa6ca", "title": "Blinking to a New Era of Environmental Interaction Project-Bitrac", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/87fe/7ad85d87436a1c990438863d43e0ad2fa6ca.pdf"], "doi": []}, {"id": "c8a4201641a541babfefe66851a1d06b0d3b3a5b", "title": "Hierarchical Attention for Part-Aware Face Detection", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-019-01157-5"]}, {"id": "9201bf6f8222c2335913002e13fbac640fc0f4ec", "title": "Fully convolutional networks for semantic segmentation", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1109/CVPR.2015.7298965", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298965"]}, {"id": "3b7d120c0e801ef318bc9c607a0789f175637c7f", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812"]}, {"id": "7003ec726b735733897edc3b8646d528ac2a48f0", "title": "Face Parsing for Mobile AR Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8699189"]}, {"id": "c299a9d7930a5c307a7cff9e4ca83a55fa4a14f6", "title": "Geometric Deep Learning and Heatmap Prediction for Large Deformation Registration of Abdominal and Thoracic CT In", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/c299/a9d7930a5c307a7cff9e4ca83a55fa4a14f6.pdf"], "doi": []}, {"id": "d8514f3edb1514b6226d9325162c234f01ae3450", "title": "A high-fidelity multiresolution DEM model for Earth systems", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3140/f7a2e3d63a8f6f7244f1b244e186848bbbe7.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "citations": [{"id": "4a4f0a47de1567f3f913e2632921797df36b2525", "title": "Synthetic Prior Design for Real-Time Face Tracking", "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20161010224923/Synthetic-Prior-Design-for-Real-Time-Face-Tracking-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785140", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.72", "http://doi.org/10.1109/3DV.2016.72"]}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "4f742c09ce12859b20deaa372c8f1575acfc99c9", "title": "How do you smile? Towards a comprehensive smile analysis system", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.01.020"]}, {"id": "8a336e9a4c42384d4c505c53fb8628a040f2468e", "title": "Detecting Visually Observable Disease Symptoms from Faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8a33/6e9a4c42384d4c505c53fb8628a040f2468e.pdf"], "doi": []}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "title": "Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision", "year": "2014", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Pedersoli_Using_a_Deformation_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909867", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.472", "http://doi.org/10.1109/CVPR.2014.472"]}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "0561bed18b6278434deae562d646e8adad72e75d", "title": "Low rank driven robust facial landmark regression", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.052"]}, {"id": "ca83053d9a790319b11a04eac5ab412e7fcab914", "title": "Efficient generic face model fitting to images and videos", "year": "2014", "pdf": ["http://gec.di.uminho.pt/psantos/Publications_ficheiros/IMAVIS2014-FaceRecognition.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.006", "https://www.wikidata.org/entity/Q50810415"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "64cac22210861d4e9afb00b781da90cf99f9d19c", "title": "Facial Landmark Detection for Manga Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03214.pdf"], "doi": []}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "45429c281e30f9e87ebcd1ae42e0656d2ead24d1", "title": "High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579015"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "94aa8a3787385b13ee7c4fdd2b2b2a574ffcbd81", "title": "Real-time generic face tracking in the wild with CUDA", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2579369"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "e97ba85a4550667b8a28f83a98808d489e0ff3bc", "title": "A Research on Fast Face Feature Points Detection on Smart Mobile Devices", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1155/2018%2F9729014", "https://doi.org/10.1155/2018/9729014"]}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "c41a3c31972cf0c1be6b6895f3bf97181773fcfb", "title": "Accurate Facial Landmarks Detection for Frontal Faces with Extended Tree-Structured Models", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976813", "http://doi.org/10.1109/ICPR.2014.103"]}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "36219a3196aac2bd149bc786f083957a6e6da125", "title": "Recognition of the gaze direction: Anchoring with the eyebrows", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.12.003"]}, {"id": "76dff7008d9b8bf44ec5348f294d5518877c6182", "title": "Discrete area filters in accurate detection of faces and facial features", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.09.004"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "cbaf7bef33ef0506e507a8910fe5b756e9b20e76", "title": "Robust facial landmark extraction scheme using multiple convolutional neural networks", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6482-7"]}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "0caef87116f62fcc86735401a9aa9d4e170ffbef", "title": "On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics", "year": "2015", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Das_ITSC2015.pdf", "http://cvrr.ucsd.edu/publications/2015/DasOhnbarTrivedi_ITSC2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313566", "http://doi.org/10.1109/ITSC.2015.473"]}, {"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"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": "9871aa511ca7e3c61c083c327063442bc2c411bf", "title": "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2017.244"]}, {"id": "be69b703f91ab5ff962cd2b7e120eac8e1d3ca3b", "title": "The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014890"]}, {"id": "0e3fcfe63b7b6620e3c47e9751fe3456e85cc52f", "title": "Robust Discriminative Response Map Fitting with Constrained Local Models", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619286"]}, {"id": "0580edbd7865414c62a36da9504d1169dea78d6f", "title": "Baseline CNN structure analysis for facial expression recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04251.pdf"], "doi": []}, {"id": "52275c69a7e414d2b46664ae5f953f544badf8ae", "title": "Two-Staged Algorithm for Eyebrows Segmentation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337413"]}, {"id": "056892b7e573608e64c3c9130e8ce33353a94de2", "title": "Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03328.pdf"], "doi": []}, {"id": "6c409591546a36ed2626f0a459f39c06dfef5c39", "title": "Multiresolution terrain modeling using level curve information", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1016/j.cam.2012.08.003"]}, {"id": "424ed067137aa268ce434cf3c3fa557c4a3c5eeb", "title": "Big Geo Data Surface Approximation using Radial Basis Functions: A Comparative Study", "year": "2017", "pdf": ["https://arxiv.org/pdf/1806.07884.pdf"], "doi": []}, {"id": "564babec16b895d385d06d38545febd66ef02f35", "title": "Robust Statistics for Feature-based Active Appearance Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/564b/abec16b895d385d06d38545febd66ef02f35.pdf"], "doi": []}, {"id": "87fe7ad85d87436a1c990438863d43e0ad2fa6ca", "title": "Blinking to a New Era of Environmental Interaction Project-Bitrac", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/87fe/7ad85d87436a1c990438863d43e0ad2fa6ca.pdf"], "doi": []}, {"id": "c8a4201641a541babfefe66851a1d06b0d3b3a5b", "title": "Hierarchical Attention for Part-Aware Face Detection", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-019-01157-5"]}, {"id": "9201bf6f8222c2335913002e13fbac640fc0f4ec", "title": "Fully convolutional networks for semantic segmentation", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1109/CVPR.2015.7298965", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298965"]}, {"id": "3b7d120c0e801ef318bc9c607a0789f175637c7f", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812"]}, {"id": "7003ec726b735733897edc3b8646d528ac2a48f0", "title": "Face Parsing for Mobile AR Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8699189"]}, {"id": "c299a9d7930a5c307a7cff9e4ca83a55fa4a14f6", "title": "Geometric Deep Learning and Heatmap Prediction for Large Deformation Registration of Abdominal and Thoracic CT In", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/c299/a9d7930a5c307a7cff9e4ca83a55fa4a14f6.pdf"], "doi": []}, {"id": "d8514f3edb1514b6226d9325162c234f01ae3450", "title": "A high-fidelity multiresolution DEM model for Earth systems", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3140/f7a2e3d63a8f6f7244f1b244e186848bbbe7.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/ijb_a.json b/site/datasets/unknown/ijb_a.json
index 020bf0df..1a5f543f 100644
--- a/site/datasets/unknown/ijb_a.json
+++ b/site/datasets/unknown/ijb_a.json
@@ -1 +1 @@
-{"id": "140c95e53c619eac594d70f6369f518adfea12ef", "citations": [{"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": "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": "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": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"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": "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": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.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": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.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": "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": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.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": "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "title": "Face Verification Based on Relational Disparity Features and Partial Least Squares Models", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_SIBGRAPI_Vareto.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097314", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.34", "http://doi.org/10.1109/SIBGRAPI.2017.34"]}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "6ed27a41214716259676b6949999cdf4b12d0bdd", "title": "A Sparse and Inlier Based SIFT and SURF Features for Automated Face Recognition", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2982112"]}, {"id": "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "title": "Face recognition in video surveillance from a single reference sample through domain adaptation", "year": "2017", "pdf": [], "doi": []}, {"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": "df51dfe55912d30fc2f792561e9e0c2b43179089", "title": "Face Hallucination Using Linear Models of Coupled Sparse Support", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.06009.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": "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": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "f3b84a03985de3890b400b68e2a92c0a00afd9d0", "title": "Large Variability Surveillance Camera Face Database", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7579704"]}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa", "title": "Dataset Augmentation for Pose and Lighting Invariant Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04326.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": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.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": "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": "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": "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": "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": "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": "1ba966584fa935ba8ab8654016a12298fcd2b048", "title": "Generalized Deep Image to Image Regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100056"]}, {"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": "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": "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": "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": "91d513af1f667f64c9afc55ea1f45b0be7ba08d4", "title": "Automatic Face Image Quality Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09887.pdf"], "doi": []}, {"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": "4e32fbb58154e878dd2fd4b06398f85636fd0cf4", "title": "A Hierarchical Matcher using Local Classifier Chains", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02339.pdf"], "doi": []}, {"id": "d0f690b9ad1d66e06e4da18381d92443e9d15f11", "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578642"]}, {"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": "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": "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": "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": "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "title": "Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05300.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"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": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "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": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"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": "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": "a3f69a073dcfb6da8038607a9f14eb28b5dab2db", "title": "3D-Aided Deep Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a3f6/9a073dcfb6da8038607a9f14eb28b5dab2db.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.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": "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": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"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": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.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": "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "title": "On the Reconstruction of Face Images from Deep Face Templates.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.00832.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"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": "77037a22c9b8169930d74d2ce6f50f1a999c1221", "title": "Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64308/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949052", "http://doi.org/10.1109/TIP.2017.2716180", "https://www.ncbi.nlm.nih.gov/pubmed/28641251", "https://www.wikidata.org/entity/Q38713616"]}, {"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": "6909cd34a1eceba2140e2c02a842cefcecf33645", "title": "Face Recognition of the Rhinopithecus Roxellana Qinlingensis Based on Improved HOG and Sparse Representation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8128617"]}, {"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": "5fea59ccdab484873081eaa37af88e26e3db2aed", "title": "Capacitive Sensor for Tagless Remote Human Identification Using Body Frequency Absorption Signatures", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263394", "http://doi.org/10.1109/TIM.2017.2789078"]}, {"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": "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "title": "Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04710.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": "aed321909bb87c81121c841b21d31509d6c78f69", "title": "Unfamiliar Sides , Video , Image Enhancement in Face Recognition 1", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aed3/21909bb87c81121c841b21d31509d6c78f69.pdf"], "doi": []}, {"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": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}]}
\ No newline at end of file
+{"id": "140c95e53c619eac594d70f6369f518adfea12ef", "citations": [{"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": "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": "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": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"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": "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": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.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": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.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": "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": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.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": "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "title": "Face Verification Based on Relational Disparity Features and Partial Least Squares Models", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_SIBGRAPI_Vareto.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097314", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.34", "http://doi.org/10.1109/SIBGRAPI.2017.34"]}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "6ed27a41214716259676b6949999cdf4b12d0bdd", "title": "A Sparse and Inlier Based SIFT and SURF Features for Automated Face Recognition", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2982112"]}, {"id": "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "title": "Face recognition in video surveillance from a single reference sample through domain adaptation", "year": "2017", "pdf": [], "doi": []}, {"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": "df51dfe55912d30fc2f792561e9e0c2b43179089", "title": "Face Hallucination Using Linear Models of Coupled Sparse Support", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.06009.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": "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": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "f3b84a03985de3890b400b68e2a92c0a00afd9d0", "title": "Large Variability Surveillance Camera Face Database", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7579704"]}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa", "title": "Dataset Augmentation for Pose and Lighting Invariant Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04326.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": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.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": "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": "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": "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": "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": "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": "1ba966584fa935ba8ab8654016a12298fcd2b048", "title": "Generalized Deep Image to Image Regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100056"]}, {"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": "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": "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": "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": "91d513af1f667f64c9afc55ea1f45b0be7ba08d4", "title": "Automatic Face Image Quality Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09887.pdf"], "doi": []}, {"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": "4e32fbb58154e878dd2fd4b06398f85636fd0cf4", "title": "A Hierarchical Matcher using Local Classifier Chains", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02339.pdf"], "doi": []}, {"id": "d0f690b9ad1d66e06e4da18381d92443e9d15f11", "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578642"]}, {"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": "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": "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": "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": "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "title": "Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05300.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"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": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "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": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"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": "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": "a3f69a073dcfb6da8038607a9f14eb28b5dab2db", "title": "3D-Aided Deep Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a3f6/9a073dcfb6da8038607a9f14eb28b5dab2db.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.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": "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": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.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": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.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": "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "title": "On the Reconstruction of Face Images from Deep Face Templates.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.00832.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"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": "77037a22c9b8169930d74d2ce6f50f1a999c1221", "title": "Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64308/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949052", "http://doi.org/10.1109/TIP.2017.2716180", "https://www.ncbi.nlm.nih.gov/pubmed/28641251", "https://www.wikidata.org/entity/Q38713616"]}, {"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": "6909cd34a1eceba2140e2c02a842cefcecf33645", "title": "Face Recognition of the Rhinopithecus Roxellana Qinlingensis Based on Improved HOG and Sparse Representation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8128617"]}, {"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": "5fea59ccdab484873081eaa37af88e26e3db2aed", "title": "Capacitive Sensor for Tagless Remote Human Identification Using Body Frequency Absorption Signatures", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263394", "http://doi.org/10.1109/TIM.2017.2789078"]}, {"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": "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "title": "Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04710.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": "aed321909bb87c81121c841b21d31509d6c78f69", "title": "Unfamiliar Sides , Video , Image Enhancement in Face Recognition 1", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aed3/21909bb87c81121c841b21d31509d6c78f69.pdf"], "doi": []}, {"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": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/lfpw.json b/site/datasets/unknown/lfpw.json
index 3cb46399..7df952e6 100644
--- a/site/datasets/unknown/lfpw.json
+++ b/site/datasets/unknown/lfpw.json
@@ -1 +1 @@
-{"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "citations": [{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, {"id": "35756f711a97166df11202ebe46820a36704ae77", "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06434.pdf"], "doi": []}, {"id": "0e3fcfe63b7b6620e3c47e9751fe3456e85cc52f", "title": "Robust Discriminative Response Map Fitting with Constrained Local Models", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619286"]}, {"id": "ec37378bf8634383943eaeb9513e1ac54a926939", "title": "Face Recognition with Local Binary Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ec37/378bf8634383943eaeb9513e1ac54a926939.pdf"], "doi": []}, {"id": "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247976", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247976", "http://doi.org/10.1109/CVPR.2012.6247976"]}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "7a8c2743db1749c2d9f16f62ee633574c1176e34", "title": "Face Photo-Sketch Synthesis and Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f87/e3212ab1d89c5d46924c925d6bb1da02f92b.pdf"], "doi": []}, {"id": "6974449ce544dc208b8cc88b606b03d95c8fd368", "title": "Local Evidence Aggregation for Regression-Based Facial Point Detection", "year": "2013", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/martinezvalstar-pami_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6313593", "http://doi.org/10.1109/TPAMI.2012.205", "https://www.ncbi.nlm.nih.gov/pubmed/23520256", "https://www.wikidata.org/entity/Q45350347"]}, {"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": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "25d3e122fec578a14226dc7c007fb1f05ddf97f7", "title": "The first facial expression recognition and analysis challenge", "year": "2011", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/pdf17.pdf", "https://archive-ouverte.unige.ch/files/downloads/0/0/0/9/8/4/9/3/unige_98493_attachment01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5771374", "http://doi.ieeecomputersociety.org/10.1109/FG.2011.5771374", "http://doi.org/10.1109/FG.2011.5771374"]}, {"id": "e23dd37582dfc31c25a5df644e3d08986c650182", "title": "Scalable Tensor Factorizations for Incomplete Data", "year": "2011", "pdf": ["https://arxiv.org/pdf/1005.2197.pdf"], "doi": []}, {"id": "8db43d306a70e23e2a0e6eb2fda60f14b73f65d0", "title": "Multi-Commodity Network Flow for Tracking Multiple People", "year": "2013", "pdf": ["https://infoscience.epfl.ch/record/181551/files/top_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636296", "https://www.ncbi.nlm.nih.gov/pubmed/24144976"]}, {"id": "6993ef98db477c4501703f438d339435b05c789b", "title": "A simple photograph-based approach for discriminating between free-ranging long-finned ( Globicephala melas ) and short-finned ( G. macrorhynchus ) pilot whales off the east coast of the United States", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1111/j.1748-7692.2011.00488.x", "http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1310&context=usdeptcommercepub"]}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "title": "A review of recent advances in visual speech decoding", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.06.004"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "0561bed18b6278434deae562d646e8adad72e75d", "title": "Low rank driven robust facial landmark regression", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.052"]}, {"id": "195b61470720c7faa523e10e68d0c8d8f27d7c7a", "title": "Principal regression analysis", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995618", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995618", "http://doi.org/10.1109/CVPR.2011.5995618"]}, {"id": "16e8b0a1e8451d5f697b94c0c2b32a00abee1d52", "title": "UMB-DB: A database of partially occluded 3D faces", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130509"]}, {"id": "cc44f1d99b17a049a8186ec04c6a1ecf1906c3c8", "title": "Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180175", "http://doi.org/10.1109/TPAMI.2012.87", "https://www.ncbi.nlm.nih.gov/pubmed/22487982", "https://www.wikidata.org/entity/Q43850601"]}, {"id": "da28c034e883a6ffe4e494e5affe9a1461b9bbca", "title": "Geographic patterns of genetic differentiation among killer whales in the northern North Pacific.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c10e/f6d428ba3904cdc726e0f45f224815baee72.pdf"], "doi": []}, {"id": "5fdbebf417da2427744d2c60f413b5375e68993e", "title": "Discriminative Sub-categorization", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619062"]}, {"id": "26ac607a101492bc86fd81a141311066cfe9e2b5", "title": "Sieving Regression Forest Votes for Facial Feature Detection in the Wild", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf", "http://www.eecs.qmul.ac.uk/~hy300/papers/YangPatrasiccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751351", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.243", "http://doi.org/10.1109/ICCV.2013.243"]}, {"id": "aeb36fac7516753a14c3c690f352de78e70f8c6e", "title": "Facial Expression Recognition Influenced by Human Aging", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6517179", "http://doi.ieeecomputersociety.org/10.1109/T-AFFC.2013.13", "http://doi.org/10.1109/T-AFFC.2013.13"]}, {"id": "b558f5ae01e48f104a1d7f081df32b3497e64610", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237691"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5ad4e9f947c1653c247d418f05dad758a3f9277b", "title": "WLFDB : Weakly Labeled Face Databases", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.pdf"], "doi": []}, {"id": "ffa4cd458ac6ba8581334f9a3e021414cb1dfb9e", "title": "The gestural repertoire of the wild chimpanzee", "year": "2011", "pdf": ["https://research-repository.st-andrews.ac.uk/bitstream/10023/4445/1/2011_HobaiterByrne_gesture_repertoire.pdf", "https://research-repository.st-andrews.ac.uk/bitstream/handle/10023/4445/2011_HobaiterByrne_gesture_repertoire.pdf;jsessionid=2940087FBBEF1DCEF5F0E64EE6845569?sequence=1"], "doi": ["https://doi.org/10.1007/s10071-011-0409-2", "https://www.ncbi.nlm.nih.gov/pubmed/21533821"]}, {"id": "6b2a10bd60790f2e88be820f93d58a1b3b04c743", "title": "Automatic analysis of in-the-wild mobile eye-tracking experiments using object, face and person detection", "year": "2014", "pdf": ["http://www.eavise.be/papers/VISAPP2014.pdf", "http://www.scitepress.org/Papers/2014/47416/47416.pdf", "https://pdfs.semanticscholar.org/9682/f8e1b38cfa2c4512cdcb58b1b03a1c882d42.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294867", "http://doi.org/10.5220/0004741606250633"]}, {"id": "5aa1d92777a7aa29e279ef1dc9f25864aaa43a12", "title": "Lip Reading Sentences in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099850"]}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"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": "b1a25f665cd18b2a22e5804a2a012af282d59f1b", "title": "Reading Text in the Wild with Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1842.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "d57982dc55dbed3d0f89589e319dc2d2bd598532", "title": "Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Reliable_Crowdsourcing_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099760", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.277", "http://doi.org/10.1109/CVPR.2017.277"]}, {"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": "5f7c31c58f1b29bb1637e9f0ddd0ccd5617a8f2b", "title": "DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575262"]}, {"id": "94aa8a3787385b13ee7c4fdd2b2b2a574ffcbd81", "title": "Real-time generic face tracking in the wild with CUDA", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2579369"]}, {"id": "152d9b73643197f237871b21ad8d431f8f763c08", "title": "Differential regulation of cellulose orientation at the inner and outer face of epidermal cells in the Arabidopsis hypocotyl.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5798/9af2745ae6bf5f019f778d7aa443f3790e03.pdf"], "doi": []}, {"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": "9063b17ccfdf73fc789d01d3c44c451244638528", "title": "Detecting Both Machine and Human Created Fake Face Images In the Wild", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267367"]}, {"id": "18f1143c64e6557c933b206fb8b2a7bd1f389afd", "title": "Rich Image Captioning in the Wild", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789551"]}, {"id": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "f9fd5b189081bed3feea2cda00c0369a088767e6", "title": "Context Recognition In-the-Wild: Unified Model for Multi-Modal Sensors and Multi-Label Classification", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3161192"]}, {"id": "516864605dcabe619a30824eb91f560a9d857331", "title": "Smile Detection in the Wild Based on Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373900"]}, {"id": "13afc4f8d08f766479577db2083f9632544c7ea6", "title": "Multiple kernel learning for emotion recognition in the wild", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531741"]}, {"id": "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "title": "On Hair Recognition in the Wild by Machine", "year": "2014", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_AAAI2014.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2014AAAI_Roth_Liu.pdf", "https://pdfs.semanticscholar.org/8eb7/d148107a6cca99b788d70b5134583d28e9c4.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8598", "http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/download/8598/8636"]}, {"id": "bbd11e61e3743c6635ef4b9b03b863997209c73a", "title": "Kinship Verification on Families in the Wild with Marginalized Denoising Metric Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961744"]}, {"id": "2940e9d9204b7a1fd087243f0e4edac5f545cc73", "title": "Crop\u2010to\u2010wild gene flow and spatial genetic structure in the closest wild relatives of the cultivated apple", "year": "2013", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29387162", "https://doi.org/10.1111/eva.12059", "https://prodinra.inra.fr/ft?id=16F22EBB-1043-453F-A3AF-EB9B8355C326"]}, {"id": "8e6d4b06addd2180716d4c642a26ac0f9d4243aa", "title": "Investigating genetic introgression from farmed red foxes into the wild population in Newfoundland, Canada", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s10592-016-0914-6"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "title": "MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02046.pdf"], "doi": []}, {"id": "ea9e90048386f360006be8b5f70d029108cec9b6", "title": "Facial expression recognition in the wild based on multimodal texture features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a9d1/5d77fe43c05494ddf40bfe13c00d9af35c7a.pdf"], "doi": []}, {"id": "ebfaa69a0aaabe79752c8f14ca7a91232e1a7d2a", "title": "Aff-Wild: Valence and Arousal \u2018In-the-Wild\u2019 Challenge", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014982"]}, {"id": "1736b666cc1c4d5aab5f54299691b66f69669bc2", "title": "Low survival after release into the wild: assessing \u201cthe burden of captivity\u201d on Mallard physiology and behaviour", "year": "2011", "pdf": [], "doi": ["https://doi.org/10.1007/s10344-011-0573-3"]}, {"id": "325af39d281d5903a269c01fab8f53d7400a4c49", "title": "ArtTrack: Articulated Multi-Person Tracking in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099625"]}, {"id": "0bab5213911c19c40e936b08d2f8fba01e286b85", "title": "Cascaded Pose Regression Revisited: Face Alignment in Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966763", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.81", "http://doi.org/10.1109/BigMM.2017.81"]}, {"id": "071099a4c3eed464388c8d1bff7b0538c7322422", "title": "Facial expression recognition in the wild using rich deep features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.02487.pdf"], "doi": []}, {"id": "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "title": "Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Afshar_Facial_Expression_Recognition_CVPR_2016_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/afshar06cvprw.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789679", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.189", "http://doi.org/10.1109/CVPRW.2016.189"]}, {"id": "a016fbe8d09402316c7b38946ccd502d76aa8c74", "title": "Using a Single RGB Frame for Real Time 3D Hand Pose Estimation in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03866.pdf"], "doi": []}, {"id": "b7e0340688798c8cf684c5d0f2e71b9832d2856c", "title": "Evaluation of periocular features for kinship verification in the wild", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.009"]}, {"id": "83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6", "title": "A multi-perspective holistic approach to Kinship Verification in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284834", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284834", "http://doi.org/10.1109/FG.2015.7284834"]}, {"id": "3dd906bc0947e56d2b7bf9530b11351bbdff2358", "title": "The THUMOS Challenge on Action Recognition for Videos \"in the Wild\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.06182.pdf"], "doi": []}, {"id": "3738de8951ddc2a4f7f1ab8c2b86c47b4e35d938", "title": "An Ethnobotanical investigation of traditional knowledge and uses of edible wild plants in the Umbria Region, Central Italy", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3738/de8951ddc2a4f7f1ab8c2b86c47b4e35d938.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "3fbb871ce1266a6aba8f4a9c0bf89c2a4e917aa0", "title": "DensePose: Dense Human Pose Estimation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578860"]}, {"id": "ff293f1db0d6360975853c7f2ce5e4196663b2d6", "title": "Cross-Media Learning for Image Sentiment Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265255"]}, {"id": "167f07b9d2babb8920acfa320ab04ee2758b5db6", "title": "Unsupervised metric learning for face identification in TV video", "year": "2011", "pdf": ["http://www.robots.ox.ac.uk/~vgg/rg/papers/metric_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126415", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126415", "http://doi.org/10.1109/ICCV.2011.6126415"]}, {"id": "ff6f2362d7df2e433ba3c18f7f7b76a47c194749", "title": "Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art", "year": "2016", "pdf": ["https://perceptual.mpi-inf.mpg.de/wp-content/blogs.dir/12/files/2016/06/fuhl16_mva.pdf"], "doi": ["https://doi.org/10.1007/s00138-016-0776-4"]}, {"id": "c0ad4cef162dad79d6e788ff0a566264229f25ac", "title": "Interruptions in the wild: portraying the handling of interruptions in manufacturing from a distributed cognition lens", "year": "2016", "pdf": ["http://his.diva-portal.org/smash/get/diva2:1060676/FULLTEXT02.pdf"], "doi": ["https://doi.org/10.1007/s10111-016-0399-6"]}, {"id": "7bad958aeb6f4e06296f342a50e052f2768de764", "title": "Pupil detection in the wild : An evaluation of the state of the art in mobile head-mounted eye tracking", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7bad/958aeb6f4e06296f342a50e052f2768de764.pdf"], "doi": []}, {"id": "bf25fc367e06ad417b25e4c3a8d8fef70ac37c28", "title": "Automatic Classification of a Taxon-Rich Community Recorded in the Wild", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bf25/fc367e06ad417b25e4c3a8d8fef70ac37c28.pdf"], "doi": []}, {"id": "2624d84503bc2f8e190e061c5480b6aa4d89277a", "title": "AFEW-VA database for valence and arousal estimation in-the-wild", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/afew-va.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2017.02.001"]}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "1c340aec34c2333cdc5fc6ff28523228af1d7de7", "title": "In-the-wild chatbot corpus : from opinion analysis to interaction problem detection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1c34/0aec34c2333cdc5fc6ff28523228af1d7de7.pdf"], "doi": []}, {"id": "c243497709a35c0a9c28344937bb4f1c62753d67", "title": "Where the wild things are: informal experience and ecological reasoning.", "year": "2012", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22548352", "https://doi.org/10.1111/j.1467-8624.2012.01751.x"]}, {"id": "1bb6718460253bf4c0c80bae657d6ff4a49dd27e", "title": "Robust Hand Detection and Classification in Vehicles and in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014893"]}, {"id": "33ef644ef5085237b4f529251d6c895d32d6052f", "title": "TasselNet: counting maize tassels in the wild via local counts regression network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02290.pdf"], "doi": []}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "8a85f0865930ea65239adb5ec2b97407c1446fa4", "title": "Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578150"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "11abc64a639bb402c3c0413c3793b84f0a4b7e57", "title": "Evaluation of a New Kernel-Based Classifier in Eye Pupil Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614088"]}, {"id": "026e3363b7f76b51cc711886597a44d5f1fd1de2", "title": "Vision meets robotics: The KITTI dataset", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/026e/3363b7f76b51cc711886597a44d5f1fd1de2.pdf"], "doi": []}, {"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "5aaf311172b9778d78f6904fbe40124c63463b57", "title": "The Million Song Dataset", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5aaf/311172b9778d78f6904fbe40124c63463b57.pdf"], "doi": []}, {"id": "9806d3dc7805dd8c9c20d7222c915fc4beee7099", "title": "Self-Stimulatory Behaviours in the Wild for Autism Diagnosis", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Rajagopalan_Dhall_Goecke_ICCV2013_DSCSI_Self-StimulatoryBehavioursInTheWildForAutismDiagnosis.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Rajagopalan_Self-Stimulatory_Behaviours_in_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755972"]}, {"id": "cb59c9f57e884efb53d049af8c6aa18debab2d4c", "title": "Prediction and Localization of Student Engagement in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615851"]}, {"id": "c1d285c54b18834d4458c30669c24efae0fa7e9c", "title": "Analysis of Hand Segmentation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578593"]}, {"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": "ed7de328e2191463d42d745d8ac8f16024f95f25", "title": "Beyond Planar Symmetry: Modeling Human Perception of Reflection and Rotation Symmetries in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237354"]}, {"id": "1169f3386a49daccbe199cccb518238a0130a537", "title": "Analyzing Complex Events and Human Actions in \"in-the-wild\" Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1169/f3386a49daccbe199cccb518238a0130a537.pdf"], "doi": []}, {"id": "7289a5d3704fa9de2860b925970550a41d2e038e", "title": "Integrated Deep Model for Face Detection and Landmark Localization From \u201cIn The Wild\u201d Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540344"]}, {"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": "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": "442f09ddb5bb7ba4e824c0795e37cad754967208", "title": "Learning from Partial Labels", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/8c29/513c2621c26ac8491bb763674db475fe58c6.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "citations": [{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, {"id": "35756f711a97166df11202ebe46820a36704ae77", "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06434.pdf"], "doi": []}, {"id": "0e3fcfe63b7b6620e3c47e9751fe3456e85cc52f", "title": "Robust Discriminative Response Map Fitting with Constrained Local Models", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619286"]}, {"id": "ec37378bf8634383943eaeb9513e1ac54a926939", "title": "Face Recognition with Local Binary Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ec37/378bf8634383943eaeb9513e1ac54a926939.pdf"], "doi": []}, {"id": "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247976", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247976", "http://doi.org/10.1109/CVPR.2012.6247976"]}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "7a8c2743db1749c2d9f16f62ee633574c1176e34", "title": "Face Photo-Sketch Synthesis and Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f87/e3212ab1d89c5d46924c925d6bb1da02f92b.pdf"], "doi": []}, {"id": "6974449ce544dc208b8cc88b606b03d95c8fd368", "title": "Local Evidence Aggregation for Regression-Based Facial Point Detection", "year": "2013", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/martinezvalstar-pami_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6313593", "http://doi.org/10.1109/TPAMI.2012.205", "https://www.ncbi.nlm.nih.gov/pubmed/23520256", "https://www.wikidata.org/entity/Q45350347"]}, {"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": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "25d3e122fec578a14226dc7c007fb1f05ddf97f7", "title": "The first facial expression recognition and analysis challenge", "year": "2011", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/pdf17.pdf", "https://archive-ouverte.unige.ch/files/downloads/0/0/0/9/8/4/9/3/unige_98493_attachment01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5771374", "http://doi.ieeecomputersociety.org/10.1109/FG.2011.5771374", "http://doi.org/10.1109/FG.2011.5771374"]}, {"id": "e23dd37582dfc31c25a5df644e3d08986c650182", "title": "Scalable Tensor Factorizations for Incomplete Data", "year": "2011", "pdf": ["https://arxiv.org/pdf/1005.2197.pdf"], "doi": []}, {"id": "8db43d306a70e23e2a0e6eb2fda60f14b73f65d0", "title": "Multi-Commodity Network Flow for Tracking Multiple People", "year": "2013", "pdf": ["https://infoscience.epfl.ch/record/181551/files/top_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636296", "https://www.ncbi.nlm.nih.gov/pubmed/24144976"]}, {"id": "6993ef98db477c4501703f438d339435b05c789b", "title": "A simple photograph-based approach for discriminating between free-ranging long-finned ( Globicephala melas ) and short-finned ( G. macrorhynchus ) pilot whales off the east coast of the United States", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1111/j.1748-7692.2011.00488.x", "http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1310&context=usdeptcommercepub"]}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "title": "A review of recent advances in visual speech decoding", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.06.004"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "0561bed18b6278434deae562d646e8adad72e75d", "title": "Low rank driven robust facial landmark regression", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.052"]}, {"id": "195b61470720c7faa523e10e68d0c8d8f27d7c7a", "title": "Principal regression analysis", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995618", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995618", "http://doi.org/10.1109/CVPR.2011.5995618"]}, {"id": "16e8b0a1e8451d5f697b94c0c2b32a00abee1d52", "title": "UMB-DB: A database of partially occluded 3D faces", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130509"]}, {"id": "cc44f1d99b17a049a8186ec04c6a1ecf1906c3c8", "title": "Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180175", "http://doi.org/10.1109/TPAMI.2012.87", "https://www.ncbi.nlm.nih.gov/pubmed/22487982", "https://www.wikidata.org/entity/Q43850601"]}, {"id": "da28c034e883a6ffe4e494e5affe9a1461b9bbca", "title": "Geographic patterns of genetic differentiation among killer whales in the northern North Pacific.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c10e/f6d428ba3904cdc726e0f45f224815baee72.pdf"], "doi": []}, {"id": "5fdbebf417da2427744d2c60f413b5375e68993e", "title": "Discriminative Sub-categorization", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619062"]}, {"id": "26ac607a101492bc86fd81a141311066cfe9e2b5", "title": "Sieving Regression Forest Votes for Facial Feature Detection in the Wild", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf", "http://www.eecs.qmul.ac.uk/~hy300/papers/YangPatrasiccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751351", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.243", "http://doi.org/10.1109/ICCV.2013.243"]}, {"id": "aeb36fac7516753a14c3c690f352de78e70f8c6e", "title": "Facial Expression Recognition Influenced by Human Aging", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6517179", "http://doi.ieeecomputersociety.org/10.1109/T-AFFC.2013.13", "http://doi.org/10.1109/T-AFFC.2013.13"]}, {"id": "b558f5ae01e48f104a1d7f081df32b3497e64610", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237691"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5ad4e9f947c1653c247d418f05dad758a3f9277b", "title": "WLFDB : Weakly Labeled Face Databases", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.pdf"], "doi": []}, {"id": "ffa4cd458ac6ba8581334f9a3e021414cb1dfb9e", "title": "The gestural repertoire of the wild chimpanzee", "year": "2011", "pdf": ["https://research-repository.st-andrews.ac.uk/bitstream/10023/4445/1/2011_HobaiterByrne_gesture_repertoire.pdf", "https://research-repository.st-andrews.ac.uk/bitstream/handle/10023/4445/2011_HobaiterByrne_gesture_repertoire.pdf;jsessionid=2940087FBBEF1DCEF5F0E64EE6845569?sequence=1"], "doi": ["https://doi.org/10.1007/s10071-011-0409-2", "https://www.ncbi.nlm.nih.gov/pubmed/21533821"]}, {"id": "6b2a10bd60790f2e88be820f93d58a1b3b04c743", "title": "Automatic analysis of in-the-wild mobile eye-tracking experiments using object, face and person detection", "year": "2014", "pdf": ["http://www.eavise.be/papers/VISAPP2014.pdf", "http://www.scitepress.org/Papers/2014/47416/47416.pdf", "https://pdfs.semanticscholar.org/9682/f8e1b38cfa2c4512cdcb58b1b03a1c882d42.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294867", "http://doi.org/10.5220/0004741606250633"]}, {"id": "5aa1d92777a7aa29e279ef1dc9f25864aaa43a12", "title": "Lip Reading Sentences in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099850"]}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"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": "b1a25f665cd18b2a22e5804a2a012af282d59f1b", "title": "Reading Text in the Wild with Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1842.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "d57982dc55dbed3d0f89589e319dc2d2bd598532", "title": "Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Reliable_Crowdsourcing_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099760", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.277", "http://doi.org/10.1109/CVPR.2017.277"]}, {"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": "5f7c31c58f1b29bb1637e9f0ddd0ccd5617a8f2b", "title": "DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575262"]}, {"id": "94aa8a3787385b13ee7c4fdd2b2b2a574ffcbd81", "title": "Real-time generic face tracking in the wild with CUDA", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2579369"]}, {"id": "152d9b73643197f237871b21ad8d431f8f763c08", "title": "Differential regulation of cellulose orientation at the inner and outer face of epidermal cells in the Arabidopsis hypocotyl.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5798/9af2745ae6bf5f019f778d7aa443f3790e03.pdf"], "doi": []}, {"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": "9063b17ccfdf73fc789d01d3c44c451244638528", "title": "Detecting Both Machine and Human Created Fake Face Images In the Wild", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267367"]}, {"id": "18f1143c64e6557c933b206fb8b2a7bd1f389afd", "title": "Rich Image Captioning in the Wild", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789551"]}, {"id": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "f9fd5b189081bed3feea2cda00c0369a088767e6", "title": "Context Recognition In-the-Wild: Unified Model for Multi-Modal Sensors and Multi-Label Classification", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3161192"]}, {"id": "516864605dcabe619a30824eb91f560a9d857331", "title": "Smile Detection in the Wild Based on Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373900"]}, {"id": "13afc4f8d08f766479577db2083f9632544c7ea6", "title": "Multiple kernel learning for emotion recognition in the wild", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531741"]}, {"id": "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "title": "On Hair Recognition in the Wild by Machine", "year": "2014", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_AAAI2014.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2014AAAI_Roth_Liu.pdf", "https://pdfs.semanticscholar.org/8eb7/d148107a6cca99b788d70b5134583d28e9c4.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8598", "http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/download/8598/8636"]}, {"id": "bbd11e61e3743c6635ef4b9b03b863997209c73a", "title": "Kinship Verification on Families in the Wild with Marginalized Denoising Metric Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961744"]}, {"id": "2940e9d9204b7a1fd087243f0e4edac5f545cc73", "title": "Crop\u2010to\u2010wild gene flow and spatial genetic structure in the closest wild relatives of the cultivated apple", "year": "2013", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29387162", "https://doi.org/10.1111/eva.12059", "https://prodinra.inra.fr/ft?id=16F22EBB-1043-453F-A3AF-EB9B8355C326"]}, {"id": "8e6d4b06addd2180716d4c642a26ac0f9d4243aa", "title": "Investigating genetic introgression from farmed red foxes into the wild population in Newfoundland, Canada", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s10592-016-0914-6"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "title": "MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02046.pdf"], "doi": []}, {"id": "ea9e90048386f360006be8b5f70d029108cec9b6", "title": "Facial expression recognition in the wild based on multimodal texture features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a9d1/5d77fe43c05494ddf40bfe13c00d9af35c7a.pdf"], "doi": []}, {"id": "ebfaa69a0aaabe79752c8f14ca7a91232e1a7d2a", "title": "Aff-Wild: Valence and Arousal \u2018In-the-Wild\u2019 Challenge", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014982"]}, {"id": "1736b666cc1c4d5aab5f54299691b66f69669bc2", "title": "Low survival after release into the wild: assessing \u201cthe burden of captivity\u201d on Mallard physiology and behaviour", "year": "2011", "pdf": [], "doi": ["https://doi.org/10.1007/s10344-011-0573-3"]}, {"id": "325af39d281d5903a269c01fab8f53d7400a4c49", "title": "ArtTrack: Articulated Multi-Person Tracking in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099625"]}, {"id": "0bab5213911c19c40e936b08d2f8fba01e286b85", "title": "Cascaded Pose Regression Revisited: Face Alignment in Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966763", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.81", "http://doi.org/10.1109/BigMM.2017.81"]}, {"id": "071099a4c3eed464388c8d1bff7b0538c7322422", "title": "Facial expression recognition in the wild using rich deep features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.02487.pdf"], "doi": []}, {"id": "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "title": "Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Afshar_Facial_Expression_Recognition_CVPR_2016_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/afshar06cvprw.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789679", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.189", "http://doi.org/10.1109/CVPRW.2016.189"]}, {"id": "a016fbe8d09402316c7b38946ccd502d76aa8c74", "title": "Using a Single RGB Frame for Real Time 3D Hand Pose Estimation in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03866.pdf"], "doi": []}, {"id": "b7e0340688798c8cf684c5d0f2e71b9832d2856c", "title": "Evaluation of periocular features for kinship verification in the wild", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.009"]}, {"id": "83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6", "title": "A multi-perspective holistic approach to Kinship Verification in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284834", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284834", "http://doi.org/10.1109/FG.2015.7284834"]}, {"id": "3dd906bc0947e56d2b7bf9530b11351bbdff2358", "title": "The THUMOS Challenge on Action Recognition for Videos \"in the Wild\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.06182.pdf"], "doi": []}, {"id": "3738de8951ddc2a4f7f1ab8c2b86c47b4e35d938", "title": "An Ethnobotanical investigation of traditional knowledge and uses of edible wild plants in the Umbria Region, Central Italy", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3738/de8951ddc2a4f7f1ab8c2b86c47b4e35d938.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "3fbb871ce1266a6aba8f4a9c0bf89c2a4e917aa0", "title": "DensePose: Dense Human Pose Estimation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578860"]}, {"id": "ff293f1db0d6360975853c7f2ce5e4196663b2d6", "title": "Cross-Media Learning for Image Sentiment Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265255"]}, {"id": "167f07b9d2babb8920acfa320ab04ee2758b5db6", "title": "Unsupervised metric learning for face identification in TV video", "year": "2011", "pdf": ["http://www.robots.ox.ac.uk/~vgg/rg/papers/metric_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126415", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126415", "http://doi.org/10.1109/ICCV.2011.6126415"]}, {"id": "ff6f2362d7df2e433ba3c18f7f7b76a47c194749", "title": "Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art", "year": "2016", "pdf": ["https://perceptual.mpi-inf.mpg.de/wp-content/blogs.dir/12/files/2016/06/fuhl16_mva.pdf"], "doi": ["https://doi.org/10.1007/s00138-016-0776-4"]}, {"id": "c0ad4cef162dad79d6e788ff0a566264229f25ac", "title": "Interruptions in the wild: portraying the handling of interruptions in manufacturing from a distributed cognition lens", "year": "2016", "pdf": ["http://his.diva-portal.org/smash/get/diva2:1060676/FULLTEXT02.pdf"], "doi": ["https://doi.org/10.1007/s10111-016-0399-6"]}, {"id": "7bad958aeb6f4e06296f342a50e052f2768de764", "title": "Pupil detection in the wild : An evaluation of the state of the art in mobile head-mounted eye tracking", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7bad/958aeb6f4e06296f342a50e052f2768de764.pdf"], "doi": []}, {"id": "bf25fc367e06ad417b25e4c3a8d8fef70ac37c28", "title": "Automatic Classification of a Taxon-Rich Community Recorded in the Wild", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bf25/fc367e06ad417b25e4c3a8d8fef70ac37c28.pdf"], "doi": []}, {"id": "2624d84503bc2f8e190e061c5480b6aa4d89277a", "title": "AFEW-VA database for valence and arousal estimation in-the-wild", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/afew-va.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2017.02.001"]}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "1c340aec34c2333cdc5fc6ff28523228af1d7de7", "title": "In-the-wild chatbot corpus : from opinion analysis to interaction problem detection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1c34/0aec34c2333cdc5fc6ff28523228af1d7de7.pdf"], "doi": []}, {"id": "c243497709a35c0a9c28344937bb4f1c62753d67", "title": "Where the wild things are: informal experience and ecological reasoning.", "year": "2012", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22548352", "https://doi.org/10.1111/j.1467-8624.2012.01751.x"]}, {"id": "1bb6718460253bf4c0c80bae657d6ff4a49dd27e", "title": "Robust Hand Detection and Classification in Vehicles and in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014893"]}, {"id": "33ef644ef5085237b4f529251d6c895d32d6052f", "title": "TasselNet: counting maize tassels in the wild via local counts regression network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02290.pdf"], "doi": []}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "8a85f0865930ea65239adb5ec2b97407c1446fa4", "title": "Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578150"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "11abc64a639bb402c3c0413c3793b84f0a4b7e57", "title": "Evaluation of a New Kernel-Based Classifier in Eye Pupil Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614088"]}, {"id": "026e3363b7f76b51cc711886597a44d5f1fd1de2", "title": "Vision meets robotics: The KITTI dataset", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/026e/3363b7f76b51cc711886597a44d5f1fd1de2.pdf"], "doi": []}, {"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "5aaf311172b9778d78f6904fbe40124c63463b57", "title": "The Million Song Dataset", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5aaf/311172b9778d78f6904fbe40124c63463b57.pdf"], "doi": []}, {"id": "9806d3dc7805dd8c9c20d7222c915fc4beee7099", "title": "Self-Stimulatory Behaviours in the Wild for Autism Diagnosis", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Rajagopalan_Dhall_Goecke_ICCV2013_DSCSI_Self-StimulatoryBehavioursInTheWildForAutismDiagnosis.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Rajagopalan_Self-Stimulatory_Behaviours_in_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755972"]}, {"id": "cb59c9f57e884efb53d049af8c6aa18debab2d4c", "title": "Prediction and Localization of Student Engagement in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615851"]}, {"id": "c1d285c54b18834d4458c30669c24efae0fa7e9c", "title": "Analysis of Hand Segmentation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578593"]}, {"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": "ed7de328e2191463d42d745d8ac8f16024f95f25", "title": "Beyond Planar Symmetry: Modeling Human Perception of Reflection and Rotation Symmetries in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237354"]}, {"id": "1169f3386a49daccbe199cccb518238a0130a537", "title": "Analyzing Complex Events and Human Actions in \"in-the-wild\" Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1169/f3386a49daccbe199cccb518238a0130a537.pdf"], "doi": []}, {"id": "7289a5d3704fa9de2860b925970550a41d2e038e", "title": "Integrated Deep Model for Face Detection and Landmark Localization From \u201cIn The Wild\u201d Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540344"]}, {"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": "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": "442f09ddb5bb7ba4e824c0795e37cad754967208", "title": "Learning from Partial Labels", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/8c29/513c2621c26ac8491bb763674db475fe58c6.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/lfw.json b/site/datasets/unknown/lfw.json
index 19007f11..ad3cb957 100644
--- a/site/datasets/unknown/lfw.json
+++ b/site/datasets/unknown/lfw.json
@@ -1 +1 @@
-{"id": "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "citations": [{"id": "0db1cd7a4aed9d17256b02946660a2ea902d6635", "title": "Keystroke Biometrics Ongoing Competition", "year": "2016", "pdf": ["http://atvs.ii.uam.es/audias/files/2016_IEEEAccess_KBOC_Aythami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738412", "http://doi.org/10.1109/ACCESS.2016.2626718"]}, {"id": "303828619630ca295f772be0a7b9fe8007dfaea3", "title": "Face verification in the wild using similarity in representations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324125"]}, {"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": "b216040f110d2549f61e3f5a7261cab128cab361", "title": "Weighted Voting of Discriminative Regions for Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b216/040f110d2549f61e3f5a7261cab128cab361.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": "77d31d2ec25df44781d999d6ff980183093fb3de", "title": "The Multiverse Loss for Robust Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.09033.pdf"], "doi": []}, {"id": "27e97b67a8401def58eb41b4b00d3dfb0e4ad1a8", "title": "Knowledge Based Face Detection Using Fusion Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/27e9/7b67a8401def58eb41b4b00d3dfb0e4ad1a8.pdf"], "doi": []}, {"id": "d6e785d3466eeaaae1f6c792f679d1111ab30302", "title": "People tracking and re-identification by face recognition for RGB-D camera networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8098689", "http://doi.org/10.1109/ECMR.2017.8098689"]}, {"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": "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": "b624d6eaa1d21e2a34e1b9bc34cfe2159ed39449", "title": "Cross Audio-Visual Speaker Identification in the Wild Using Deep Learning", "year": "2017", "pdf": [], "doi": []}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"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": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "2d88e7922d9f046ace0234f9f96f570ee848a5b5", "title": "Building Better Detection with Privileged Information", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d88/e7922d9f046ace0234f9f96f570ee848a5b5.pdf"], "doi": []}, {"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": "65ee4de888e5b934429dcb126ee0ae544156c9bd", "title": "Face recognition using linear representation ensembles", "year": "2016", "pdf": ["http://bmc.uestc.edu.cn/~fshen/PR2016_hanxi.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.011"]}, {"id": "df51dfe55912d30fc2f792561e9e0c2b43179089", "title": "Face Hallucination Using Linear Models of Coupled Sparse Support", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.06009.pdf"], "doi": []}, {"id": "b26d23501f8e9f89ce822057a6c645bc9a634b2c", "title": "Multi Seed Authentication Using S/Key Scheme", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7336335", "http://doi.org/10.1109/HPCC-CSS-ICESS.2015.104"]}, {"id": "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "title": "Eigen-PEP for Video Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3393/459600368be2c4c9878a3f65a57dcc0c2cfa.pdf"], "doi": []}, {"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"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": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "214ac8196d8061981bef271b37a279526aab5024", "title": "Face Recognition Using Smoothed High-Dimensional Representation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/214a/c8196d8061981bef271b37a279526aab5024.pdf"], "doi": []}, {"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": "d9208c964bed4cc0055e313353c73fd00a60c412", "title": "Multi-class Fukunaga Koontz discriminant analysis for enhanced face recognition", "year": "2016", "pdf": ["https://users.ece.cmu.edu/~juefeix/felix_pr16_fkda.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.10.007"]}, {"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": "6abdeda10a4261ae2d91806d367f7eca19e44792", "title": "Face recognition in real-world images", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001482.pdf", "https://infoscience.epfl.ch/record/224338/files/1926.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952403", "http://doi.org/10.1109/ICASSP.2017.7952403"]}, {"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": "52e181018aa26df71a02ffffaa1d061fc43cf09d", "title": "Coupled 3D Convolutional Neural Networks for Audio-Visual Recognition", "year": "2017", "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": "930b3472592ced6665cd630be7ae57d4abb8b4b1", "title": "Development of two novel face-recognition CAPTCHAs: A security and usability study", "year": "2016", "pdf": ["https://epub.uni-regensburg.de/33570/1/CAPTCHA_Usability.pdf"], "doi": ["http://doi.org/10.1016/j.cose.2016.03.007"]}, {"id": "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "title": "Face Verification Based on Relational Disparity Features and Partial Least Squares Models", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_SIBGRAPI_Vareto.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097314", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.34", "http://doi.org/10.1109/SIBGRAPI.2017.34"]}, {"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": "4be3d083e05fed1adc1af3dc4a119b74590b0eaa", "title": "Image-Based Seed Generation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7809735", "http://doi.ieeecomputersociety.org/10.1109/CIC.2016.064", "http://doi.org/10.1109/CIC.2016.064"]}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.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": "5ec7925cb1af29cc4916ed552a59db42c82f52d0", "title": "Cross Audio-Visual Recognition in the Wild Using Deep Learning", "year": "2017", "pdf": [], "doi": []}, {"id": "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "title": "Personalized Age Progression with Bi-Level Aging Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01039.pdf"], "doi": []}, {"id": "aaec8141d57d29aa3cedf1baec9633180ddb7a3d", "title": "Geometry-aware metric learning for similar face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552916", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552916", "http://doi.org/10.1109/ICME.2016.7552916"]}, {"id": "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "title": "Compare and Contrast: Learning Prominent Visual Differences", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00112.pdf"], "doi": []}, {"id": "e97ba85a4550667b8a28f83a98808d489e0ff3bc", "title": "A Research on Fast Face Feature Points Detection on Smart Mobile Devices", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1155/2018%2F9729014", "https://doi.org/10.1155/2018/9729014"]}, {"id": "3ebb0209d5e99b22c67e425a67a959f4db8d1f47", "title": "Subspace-Based Convolutional Network for Handwritten Character Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270104", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.173", "http://doi.org/10.1109/ICDAR.2017.173"]}, {"id": "0b5915fdba1e99e401f0e964deed33a9e12357bb", "title": "Component-Based Representation in Automated Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6341076"]}, {"id": "67c56c3893d4ecac99e263e1374ce851fb988e4f", "title": "A New Approach to Partial Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/67c5/6c3893d4ecac99e263e1374ce851fb988e4f.pdf"], "doi": []}, {"id": "9ec9a80b1c9ee6450f4419f01e457bb87d91bd5e", "title": "Optimized projection for Collaborative Representation based Classification and its applications to face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2016.01.012"]}, {"id": "ce5ee0c014b5559c8f294c34076de7e978f84844", "title": "Efficient object detection by prediction in 3D space", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.sigpro.2014.08.039"]}, {"id": "741da133076cee3cd0efa848e8ef8aee5adc98c9", "title": "Fisher's linear discriminant embedded metric learning", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2014.06.030"]}, {"id": "46d477442fa49a497b5ec794b613f127ee647bc5", "title": "Unrolling the Shutter: CNN to Correct Motion Distortions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099735"]}, {"id": "9360cdc6ea9d1d373ff31387b5528fcea2d815ea", "title": "Honeycomb Model Based Skin Color Detector for Face Detection", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4749499"]}, {"id": "2775de727d56d50b63d473ef2ec7bfee9b62b185", "title": "Hand it over or set it down: A user study of object delivery with an assistive mobile manipulator", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5326254"]}, {"id": "43aa40eaa59244c233f83d81f86e12eba8d74b59", "title": "Fast pose invariant face recognition using super coupled multiresolution Markov Random Fields on a GPU", "year": "2014", "pdf": ["https://udrc.eng.ed.ac.uk/sites/udrc.eng.ed.ac.uk/files/publications/Pose_invariantPRL2014_kittler.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.05.017"]}, {"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": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3", "title": "Dynamic Image-to-Class Warping for Occluded Face Recognition", "year": "2014", "pdf": ["http://wrap.warwick.ac.uk/63261/13/WRAP_Wei_TIFS2014-WEI.pdf", "http://www2.warwick.ac.uk/fac/sci/dcs/people/chang-tsun_li/publications/TIF_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906281", "http://doi.org/10.1109/TIFS.2014.2359632"]}, {"id": "133f01aec1534604d184d56de866a4bd531dac87", "title": "Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5674057"]}, {"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": "2c06781ba75d51f5246d65d1acf66ab182e9bde6", "title": "Open-set face recognition across look-alike faces in real-world scenarios", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.11.002"]}, {"id": "d0f690b9ad1d66e06e4da18381d92443e9d15f11", "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578642"]}, {"id": "0037bff7be6d463785d4e5b2671da664cd7ef746", "title": "Multiple Instance Metric Learning from Automatically Labeled Bags of Faces", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/0037/bff7be6d463785d4e5b2671da664cd7ef746.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": "59ac40ba02eb812e08f8a80f2303d7d97376fae9", "title": "Unsupervised Joint Alignment, Clustering and Feature Learning", "year": "2014", "pdf": [], "doi": []}, {"id": "75e7fa7290b9b740559725b9c59df0d457523ee3", "title": "A pr 2 01 8 Ultra Power-Efficient CNN Domain Specific Accelerator with 9 . 3 TOPS / Watt for Mobile and Embedded Applications", "year": "2018", "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": "288dbc40c027af002298b38954d648fddd4e2fd3", "title": "Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/288d/bc40c027af002298b38954d648fddd4e2fd3.pdf"], "doi": []}, {"id": "0faf441a1ef1e788fb9ccd20484b104a1fa95ee8", "title": "A brief review on techniques for recognizing images under varying poses", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124975", "http://doi.org/10.1109/ECS.2015.7124975"]}, {"id": "7a99b250f070e5adba3ed9483ea7ea47fc71ac8c", "title": "Efficient face recognition using wavelet-based generalized neural network", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.sigpro.2012.09.012"]}, {"id": "1b6394178dbc31d0867f0b44686d224a19d61cf4", "title": "EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca8e/5419fd570f19643425b24da801283b706fc1.pdf"], "doi": []}, {"id": "d065996d413814b58092d4b881f3ac6e9d6b15d8", "title": "CBR TECHNIQUES WITH SPARSE CODEWORDS TO RETRIEVE FACE IMAGE", "year": "2015", "pdf": [], "doi": []}, {"id": "1d53aebe67d0e088e2da587fd6b08c8e8ed7f45c", "title": "A Selection Module for Large-Scale Face Recognition Systems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1d53/aebe67d0e088e2da587fd6b08c8e8ed7f45c.pdf"], "doi": []}, {"id": "7480d8739eb7ab97c12c14e75658e5444b852e9f", "title": "MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfe4/b03951be323394e6749f6a30b2ac9b924479.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": "14e949f5754f9e5160e8bfa3f1364dd92c2bb8d6", "title": "Multi-subregion based correlation filter bank for robust face recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1603.07604.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "ac6b280f2a43516fbaf92073304002f9f4da0188", "title": "Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients", "year": "2014", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/PR14b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.03.024"]}, {"id": "94a7c97d1e3eb5dbfb20b180780451486597a9be", "title": "Facial attributes for active authentication on mobile devices", "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/attrspaper_final.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.004"]}, {"id": "210668e2dd74916ca1aa1555aff30e78cd3f477e", "title": "Detector of Facial Landmarks Learned by the Structured Output SVM", "year": "2012", "pdf": [], "doi": []}, {"id": "8e3d0b401dec8818cd0245c540c6bc032f169a1d", "title": "McGan: Mean and Covariance Feature Matching GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08398.pdf"], "doi": []}, {"id": "d37519f8b26a86162bff65ee48d3a805773b7c98", "title": "Fast and efficient compact feature descriptor for face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076785"]}, {"id": "269912f07c693453dbe5ae69175d06e841e2d9b5", "title": "Adapting pedestrian detectors to new domains: A comprehensive review", "year": "2016", "pdf": ["http://eprints.whiterose.ac.uk/102212/1/elsarticle-template-num.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2016.01.029", "https://www.wikidata.org/entity/Q57949181"]}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "0fa077478abea097a1b74915ccaaeb4952eaaec7", "title": "Object Classification With Joint Projection and Low-Rank Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.01594.pdf"], "doi": []}, {"id": "e692870efb009da4b9316678b354ae935fdf48eb", "title": "An Efficient and Robust Gender Classification System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7546094"]}, {"id": "02a92b79391ddac0acef4f665b396f7f39ca2972", "title": "Fusing landmark-based features at kernel level for face recognition \u2606", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.021"]}, {"id": "c3fb2399eb4bcec22723715556e31c44d086e054", "title": "Face recognition based on SIGMA sets of image features", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p499-srinivasan.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853646", "http://doi.org/10.1109/ICASSP.2014.6853646"]}, {"id": "cfbb2d32586b58f5681e459afd236380acd86e28", "title": "Improving alignment of faces for recognition", "year": "2011", "pdf": ["http://www.professeurs.polymtl.ca/christopher.pal/2011/ROSE.v2.5.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6058545", "http://doi.org/10.1109/ROSE.2011.6058545"]}, {"id": "2916dbb29b6b9b13f6d4f7517c239de9bd81b4f4", "title": "Online Heterogeneous Transfer Metric Learning", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0350.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F350", "https://doi.org/10.24963/ijcai.2018/350"]}, {"id": "8913a5b7ed91c5f6dec95349fbc6919deee4fc75", "title": "BigBIRD: A large-scale 3D database of object instances", "year": "2014", "pdf": ["http://www.cs.berkeley.edu/~karthik.narayan/assets/2014-ICRA-BigBIRD.pdf", "http://www.cs.cornell.edu/~hema/rgbd-workshop-2014/papers/Singh.pdf", "https://people.eecs.berkeley.edu/~pabbeel/papers/2014-ICRA-BigBIRD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906903", "http://doi.org/10.1109/ICRA.2014.6906903"]}, {"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": "4d9b757b51e52dc5da81f47f7006833269a55ff2", "title": "Extrapolating Expected Accuracies for Large Multi-Class Problems", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09713.pdf"], "doi": []}, {"id": "ae1c92ae7e836eb3d964b998ac5f8699e5c90cfc", "title": "Large Scale Visual Recognition", "year": "2012", "pdf": [], "doi": []}, {"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": "0b8c92463f8f5087696681fb62dad003c308ebe2", "title": "On matching sketches with digital face images", "year": "2010", "pdf": ["https://www.iiitd.edu.in/~richa/papers/BTAS10-Sketch.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634507", "http://doi.org/10.1109/BTAS.2010.5634507"]}, {"id": "de878384f00b6ce1caa66ac01735fb4b63ad0279", "title": "Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1049/iet-ipr.2014.0670"]}, {"id": "1bc075fd7cc4bd847c9dbf4e990f295954b89fe6", "title": "Towards Large-Scale 3D Face Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797090", "http://doi.org/10.1109/DICTA.2016.7797090"]}, {"id": "5a93f9084e59cb9730a498ff602a8c8703e5d8a5", "title": "Face Recognition using Local Quantized Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5a93/f9084e59cb9730a498ff602a8c8703e5d8a5.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": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "008d536060dfb10782e889f133551c9b87b2cfa2", "title": "Covariance descriptor based on bio-inspired features for person re-identification and face verification", "year": "2014", "pdf": ["https://hal.archives-ouvertes.fr/file/index/docid/1009958/filename/14_IMAVIS_REID.pdf", "https://jurie.users.greyc.fr/papers/14_IMAVIS_REID.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2014.04.002", "https://hal.archives-ouvertes.fr/hal-01009958/document"]}, {"id": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6008646", "http://doi.org/10.1109/TIP.2011.2166974", "https://www.ncbi.nlm.nih.gov/pubmed/21896385", "https://www.wikidata.org/entity/Q48113135"]}, {"id": "c5fe40875358a286594b77fa23285fcfb7bda68e", "title": "Face identification using reference-based features with message passing model", "year": "2013", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2012.pdf", "http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf", "https://cis.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2012.06.032"]}, {"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": "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": "13141284f1a7e1fe255f5c2b22c09e32f0a4d465", "title": "Object Tracking by Oversampling Local Features", "year": "2014", "pdf": ["http://www.micc.unifi.it/pernici/index_files/ALIEN_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6684527", "http://doi.org/10.1109/TPAMI.2013.250", "https://www.ncbi.nlm.nih.gov/pubmed/26353156", "https://www.wikidata.org/entity/Q48652939"]}, {"id": "f19ab817dd1ef64ee94e94689b0daae0f686e849", "title": "Blickrichtungsunabh\u00e4ngige Erkennung von Personen in Bild- und Tiefendaten", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f19a/b817dd1ef64ee94e94689b0daae0f686e849.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": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "ada73060c0813d957576be471756fa7190d1e72d", "title": "VRPBench: A Vehicle Routing Benchmark Tool.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05402.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": "45dffa3cd37371c5eed78b6f170c7ab3b5cc491f", "title": "Face Recognition Using a Unified 3D Morphable Model", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0431/7e63c08e7888cef480fe79f12d3c255c5b00.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"], "doi": []}, {"id": "8c9b29d6df5601d0bc9f6164d99a26a1cb1e256d", "title": "Two-Dimensional Joint Bayesian Method for Face Verification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8c9b/29d6df5601d0bc9f6164d99a26a1cb1e256d.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7094272", "http://doi.org/10.1109/TIP.2015.2426413", "https://www.ncbi.nlm.nih.gov/pubmed/25915959"]}, {"id": "51c3050fb509ca685de3d9ac2e965f0de1fb21cc", "title": "Fantope Regularization in Metric Learning", "year": "2014", "pdf": ["http://cedric.cnam.fr/~thomen/papers/Law_CVPR_2014_Fantope.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/Fantope%20Regularization%20in%20Metric%20Learning%20-%20byh.pdf", "http://www-poleia.lip6.fr/~lawm/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Law_Fantope_Regularization_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909534", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.138", "http://doi.org/10.1109/CVPR.2014.138", "https://hal.archives-ouvertes.fr/hal-01094074/document"]}, {"id": "1617f56c86bf8ea61de62062a97961d23fcf03d3", "title": "Facial Similarity Learning with Humans in the Loop", "year": "2015", "pdf": ["https://page-one.springer.com/pdf/preview/10.1007/s11390-015-1540-3"], "doi": ["http://doi.org/10.1007/s11390-015-1540-3"]}, {"id": "26bf242c40b86e70f2a5f9db5a34f0ac6345f14c", "title": "Adversarial Metric Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03170.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": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "e724c9a69613bef36f67ae7ed6850b1942918804", "title": "Recognition of Faces Using Discriminative Features of LBP and HOG Descriptor in Varying Environment", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7546129"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "5a8f96f6906af8fbf73810b88c68b84a31555f60", "title": "Iterative Grassmannian Optimization for Robust Image Alignment", "year": "2014", "pdf": ["https://arxiv.org/pdf/1306.0404.pdf"], "doi": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"], "doi": []}, {"id": "db0b512d4473bf9d08875bc001038e9a3fc71a11", "title": "Research on Unstructured Text Data Mining and Fault Classification Based on RNN-LSTM with Malfunction Inspection Report", "year": "2017", "pdf": ["http://www.mdpi.com/1996-1073/10/3/406/pdf"], "doi": ["https://doi.org/10.3390/en10030406"]}, {"id": "818e537b0c6ec8b388ab14d947dda50ff2f8ed13", "title": "Semi Supervised Learning in Wild Faces and Videos", "year": "2011", "pdf": [], "doi": []}, {"id": "3b9d94752f8488106b2c007e11c193f35d941e92", "title": "Appearance , Visual and Social Ensembles for Face Recognition in Personal Photo Collections", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3b9d/94752f8488106b2c007e11c193f35d941e92.pdf"], "doi": []}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "3e4acf3f2d112fc6516abcdddbe9e17d839f5d9b", "title": "Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04363.pdf"], "doi": []}, {"id": "ce54e891e956d5b502a834ad131616786897dc91", "title": "Face Recognition Using LTP Algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce54/e891e956d5b502a834ad131616786897dc91.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": "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": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "60b3601d70f5cdcfef9934b24bcb3cc4dde663e7", "title": "Binary Gradient Correlation Patterns for Robust Face Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/60b3/601d70f5cdcfef9934b24bcb3cc4dde663e7.pdf"], "doi": []}, {"id": "c813413fc84be33d7c4ccdd4a1f025ccc73a77bd", "title": "Discriminative Bayesian Active Shape Models", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c813/413fc84be33d7c4ccdd4a1f025ccc73a77bd.pdf"], "doi": []}, {"id": "753bfc20fc820d33b8069dde1ddcb3a662d07a3f", "title": "Bilateral Two-Dimensional Neighborhood Preserving Discriminant Embedding for Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013795"]}, {"id": "48bc87ccc6b6e2d318f91d5f1886432806fec553", "title": "Multiaccuracy: Black-Box Post-Processing for Fairness in Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12317.pdf"], "doi": []}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"], "doi": []}, {"id": "0a88f5936528dcfdd27df886b07e62f2fd2072d0", "title": "Supervised Congealing for Simultaneous Face Normalization and Eye Localization", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5344056"]}, {"id": "367f5243e3a7cd3dede3a9b2c540906d18161636", "title": "Weakly supervised learning from multiple modalities: exploiting video, audio and text for video understanding", "year": "2009", "pdf": [], "doi": []}, {"id": "a0b87e556ea7f4e1f5daafdd334c23549d593f48", "title": "Robot semantic place recognition based on deep belief networks and a direct use of tiny images. (Robot de reconnaissance des lieux s\u00e9mantiques bas\u00e9e sur l'architecture profonde et une utilisation directe de mini-images)", "year": "2012", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-00960289", "https://tel.archives-ouvertes.fr/tel-00960289/document"]}, {"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": "731d33256d42dc4146019954c46c566aa666d7f2", "title": "Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578549", "http://doi.org/10.1109/CVPR.2018.00451"]}, {"id": "ad7df582a51dab276cf3db3a56c4b7166bc3632c", "title": "SIFRS: Spoof Invariant Facial Recognition System (A Helping Hand for Visual Impaired People)", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8493971"]}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.pdf"], "doi": []}, {"id": "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "title": "Viola-Jones based detectors: how much affects the training set?", "year": "2011", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15079/5/C075_LNCS_IBPRIA11_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-21257-4_37"]}, {"id": "2ef51b57c4a3743ac33e47e0dc6a40b0afcdd522", "title": "Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition", "year": "2011", "pdf": ["https://arxiv.org/pdf/1108.1122.pdf"], "doi": []}, {"id": "917423ac7e47cc6131084f645444aaf98cb98395", "title": "A high-throughput screening approach to discovering good forms of inspired visual representation", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/9174/23ac7e47cc6131084f645444aaf98cb98395.pdf"], "doi": []}, {"id": "2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd", "title": "Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f17/f6c460e02bd105dcbf14c9b73f34c5fb59bd.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": "743e582c3e70c6ec07094887ce8dae7248b970ad", "title": "Face Recognition based on Deep Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/743e/582c3e70c6ec07094887ce8dae7248b970ad.pdf"], "doi": []}, {"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "title": "Attribute and simile classifiers for face verification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459250"]}, {"id": "aba9acb4a607071af10684f2cfbdefa0507a4e9a", "title": "Uncorrelated multi-set feature learning for color face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.06.010"]}, {"id": "7db00be42ded44f87f23661c49913f9d64107983", "title": "TROPE R HCRAESE R PAID I 2 D FACE RECOGNITION : AN EXPERIMENTAL AND REPRODUCIBLE RESEARCH SURVEY", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7db0/0be42ded44f87f23661c49913f9d64107983.pdf"], "doi": []}, {"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": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977254", "http://doi.org/10.1109/ICPR.2014.542"]}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "baa6b659c18ede26085dff29fb1b3130217e9102", "title": "Head pose estimation using image abstraction and local directional quaternary patterns for multiclass classification", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2014.03.017"]}, {"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": "6c01b349edb2d33530e8bb07ba338f009663a9dd", "title": "Cross-Media Alignment of Names and Faces", "year": "2010", "pdf": ["http://class.inrialpes.fr/pub/pham-tmm09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5332299", "http://doi.org/10.1109/TMM.2009.2036232", "https://doi.org/10.1109/TMM.2009.2036232"]}, {"id": "238fc68b2e0ef9f5ec043d081451902573992a03", "title": "Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition", "year": "2016", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ChuanxianRen-ELGOF-TCYB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7302030", "http://doi.org/10.1109/TCYB.2015.2484356", "https://www.ncbi.nlm.nih.gov/pubmed/26513817", "https://www.wikidata.org/entity/Q40379538"]}, {"id": "50f0c495a214b8d57892d43110728e54e413d47d", "title": "Pairwise support vector machines and their application to large scale problems", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/50f0/c495a214b8d57892d43110728e54e413d47d.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": "02e133aacde6d0977bca01ffe971c79097097b7f", "title": "Convolutional Neural Fabrics", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02492.pdf"], "doi": []}, {"id": "1da83903c8d476c64c14d6851c85060411830129", "title": "Iterated Support Vector Machines for Distance Metric Learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00363.pdf"], "doi": []}, {"id": "5b0ebb8430a04d9259b321fc3c1cc1090b8e600e", "title": "The One-Shot similarity kernel", "year": "2009", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/osskernel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459323", "http://doi.org/10.1109/ICCV.2009.5459323"]}, {"id": "4526992d4de4da2c5fae7a5ceaad6b65441adf9d", "title": "System for Medical Mask Detection in the Operating Room Through Facial Attributes", "year": "2015", "pdf": ["http://persoal.citius.usc.es/manuel.mucientes/pubs/Nieto-Rodriguez15_ibpria.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_16"]}, {"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": "90d735cffd84e8f2ae4d0c9493590f3a7d99daf1", "title": "Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90d7/35cffd84e8f2ae4d0c9493590f3a7d99daf1.pdf"], "doi": []}, {"id": "e8dda897372e6b4cf903234c7a9c40117711d8d8", "title": "What do you think of my picture? Investigating factors of influence in profile images context perception", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e8dd/a897372e6b4cf903234c7a9c40117711d8d8.pdf"], "doi": []}, {"id": "7c2ecfb2feb2b8bd61232567631fe5c0f336cc14", "title": "Unblinking eyes: the ethics of automating surveillance", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s10676-012-9291-0"]}, {"id": "27a0a7837f9114143717fc63294a6500565294c2", "title": "Face Recognition in Unconstrained Environments : A Comparative Study", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/27a0/a7837f9114143717fc63294a6500565294c2.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": "a95dc0c4a9d882a903ce8c70e80399f38d2dcc89", "title": "Review and Implementation of High-Dimensional Local Binary Patterns and Its Application to Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a95d/c0c4a9d882a903ce8c70e80399f38d2dcc89.pdf"], "doi": []}, {"id": "b23bad5159c41b32fa07e901b1cf52fdb41450df", "title": "Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6302142", "http://doi.org/10.1109/TPAMI.2012.199", "https://www.ncbi.nlm.nih.gov/pubmed/23520257", "https://www.wikidata.org/entity/Q51241668"]}, {"id": "f1aa120fb720f6cfaab13aea4b8379275e6d40a2", "title": "InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f1aa/120fb720f6cfaab13aea4b8379275e6d40a2.pdf"], "doi": []}, {"id": "6f7ce89aa3e01045fcd7f1c1635af7a09811a1fe", "title": "A novel rank order LoG filter for interest point detection", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0000937.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6288039", "http://doi.org/10.1109/ICASSP.2012.6288039"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"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": "7fc5ab3743e6e9a2f4fe70152440e13a673e239b", "title": "Improved Face Recognition Rate Using HOG Features and SVM Classifier", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7fc5/ab3743e6e9a2f4fe70152440e13a673e239b.pdf"], "doi": []}, {"id": "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "title": "On Hair Recognition in the Wild by Machine", "year": "2014", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_AAAI2014.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2014AAAI_Roth_Liu.pdf", "https://pdfs.semanticscholar.org/8eb7/d148107a6cca99b788d70b5134583d28e9c4.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8598", "http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/download/8598/8636"]}, {"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": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"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": "404776aa18031828f3d5dbceed39907f038a47fe", "title": "Sparsely encoded local descriptor for face verification", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Sparsely%20Encoded%20Local%20Descriptor%20for%20Face%20Verification_NECO2015.pdf", "https://pdfs.semanticscholar.org/4047/76aa18031828f3d5dbceed39907f038a47fe.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2014.06.044"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "d8c62e812a03f7cefe1e5300232e2a031e3dadfb", "title": "FACE IMAGE RECOGNITION BASED ON PARTIAL FACE MATCHING USING GENETIC ALGORITHM", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d8c6/2e812a03f7cefe1e5300232e2a031e3dadfb.pdf"], "doi": []}, {"id": "fe108803ee97badfa2a4abb80f27fa86afd9aad9", "title": "Kernel discriminant transformation for image set-based face recognition", "year": "2011", "pdf": ["http://www.csie.kuas.edu.tw/~jcchen/pdf/Kernel%20discriminant%20transformation%20for%20image%20set-based%20face%20recognition.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2011.02.011"]}, {"id": "7397fc452aac26712099170431a02fd531f97cf0", "title": "An MKD-SRC Approach for Face Recognition from Partial Image", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7397/fc452aac26712099170431a02fd531f97cf0.pdf"], "doi": []}, {"id": "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "title": "Robust Kernel Representation With Statistical Local Features for Face Recognition", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/RKR-TNN.pdf", "https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471239", "http://doi.org/10.1109/TNNLS.2013.2245340", "https://www.ncbi.nlm.nih.gov/pubmed/24808472", "https://www.wikidata.org/entity/Q46195115"]}, {"id": "5322b4232b234d0b1b06463fcbc0d1e20396de4e", "title": "Runtime Network Routing for Efficient Image Classification.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30371355", "https://doi.org/10.1109/TPAMI.2018.2878258"]}, {"id": "3a9681e2e07be7b40b59c32a49a6ff4c40c962a2", "title": "Comparing treatment means : overlapping standard errors , overlapping confidence intervals , and tests of hypothesis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1c95/1714996c573b00e63878acdc48cdc4ddc183.pdf"], "doi": []}, {"id": "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "title": "Face Verification Using the LARK Representation", "year": "2011", "pdf": ["https://users.soe.ucsc.edu/~milanfar/publications/journal/TIFS_Final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5872024", "http://doi.org/10.1109/TIFS.2011.2159205"]}, {"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": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b1961dca4d37aa72a0713fd2164d70126ffc0587", "title": "Non-uniform patch based face recognition via 2D-DWT", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.imavis.2014.12.005", "http://cam.tju.edu.cn/research/downAchiev.php?id=29"]}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "9d757c0fede931b1c6ac344f67767533043cba14", "title": "Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d75/7c0fede931b1c6ac344f67767533043cba14.pdf"], "doi": []}, {"id": "e1f790bbedcba3134277f545e56946bc6ffce48d", "title": "Image Retrieval Using Attribute Enhanced Sparse Code Words", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e1f7/90bbedcba3134277f545e56946bc6ffce48d.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.pdf"], "doi": []}, {"id": "2c56e17a37c3584d128e7baf3cbea595a150f74f", "title": "Improving Face Recognition Systems Using a New Image Enhancement Technique, Hybrid Features and the Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8550634"]}, {"id": "326ccae22d5d28812adef8c88dcfb1cddc2bb4e3", "title": "A Bezier Curve Cohort Selection Strategy for Face Pair Matching", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3193044"]}, {"id": "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "title": "MOT16: A Benchmark for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00831.pdf"], "doi": []}, {"id": "cd3b713722ccb1e2ae3b050837ca296b2a2dd82a", "title": "Kernel dictionary learning based discriminant analysis", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2016.07.015"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"], "doi": []}, {"id": "78fdf2b98cf6380623b0e20b0005a452e736181e", "title": "Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/78fd/f2b98cf6380623b0e20b0005a452e736181e.pdf"], "doi": []}, {"id": "d452eaa8decb8c7a83bc716beaf8e9e74a3c2218", "title": "K-Means Clustering For Detection of Human Faces in Databases", "year": "2009", "pdf": [], "doi": []}, {"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": "3c086601ce0bac61047b5b931b253bd4035e1e7a", "title": "Occlusion handling in feature point tracking using ranked parts based models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350897", "http://doi.org/10.1109/ICIP.2015.7350897"]}, {"id": "2ef1b1b5ed732634e005df779fd9b21da0ffe60c", "title": "Pair of projections based on sparse consistence with applications to efficient face recognition", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.image.2017.03.012"]}, {"id": "a92c207031b0778572bf41803dba1a21076e128b", "title": "Unobtrusive Students' Engagement Analysis in Computer Science Laboratory Using Deep Learning Techniques", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8433557", "http://doi.ieeecomputersociety.org/10.1109/ICALT.2018.00110", "http://doi.org/10.1109/ICALT.2018.00110"]}, {"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": "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "title": "Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09518.pdf"], "doi": []}, {"id": "82417d8ec8ac6406f2d55774a35af2a1b3f4b66e", "title": "Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8241/7d8ec8ac6406f2d55774a35af2a1b3f4b66e.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "7bdcd85efd1e3ce14b7934ff642b76f017419751", "title": "Learning Discriminant Face Descriptor", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/Lei-DFD-PAMI-14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6531609", "http://doi.org/10.1109/TPAMI.2013.112", "https://www.ncbi.nlm.nih.gov/pubmed/24356350", "https://www.wikidata.org/entity/Q50701663"]}, {"id": "8134b052a9aedd573dd16649a611f68b48e30cb2", "title": "InverseFaceNet: Deep Monocular Inverse Face Rendering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.10956.pdf"], "doi": []}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "79033ec1b2c86034908febd444d6ed3c753e17b3", "title": "Face Recognition via Globality-Locality Preserving Projections", "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.1279.pdf"], "doi": []}, {"id": "5506a1a1e1255353fde05d9188cb2adc20553af5", "title": "Dictionary Integration Using 3D Morphable Face Models for Pose-Invariant Collaborative-Representation-Based Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.00284.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": "b49affdff167f5d170da18de3efa6fd6a50262a2", "title": "Linking Names and Faces : Seeing the Problem in Different Ways", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/b49a/ffdff167f5d170da18de3efa6fd6a50262a2.pdf"], "doi": []}, {"id": "9a3f3a8e48fb9549b5292e4c4c474f5f1d810d64", "title": "Quasi Cosine Similarity Metric Learning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9a3f/3a8e48fb9549b5292e4c4c474f5f1d810d64.pdf"], "doi": []}, {"id": "632fb05acb6f5de2506a7cbb8d47a181314bc23c", "title": "Face detection in color images using fusion of the chrominance and luminance channel decisions", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5509043"]}, {"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": "a4a0b5f08198f6d7ea2d1e81bd97fea21afe3fc3", "title": "cient Recurrent Residual Networks Improved by Feature Transfer MSc Thesis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a4a0/b5f08198f6d7ea2d1e81bd97fea21afe3fc3.pdf"], "doi": []}, {"id": "cf254aaecb3b6f0f127a8ed620c11223bd171ccc", "title": "Boosting gender recognition performance with a fuzzy inference system", "year": "2015", "pdf": ["http://www.lifl.fr/~martinej/papers/2015/danisman15boosting.pdf"], "doi": ["http://doi.org/10.1016/j.eswa.2014.11.023", "https://hal.archives-ouvertes.fr/hal-01111681/document"]}, {"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": "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": "1ce29d6b820ed4a24da27b76ffd9605d5b3b10b5", "title": "Unrestricted pose-invariant face recognition by sparse dictionary matrix", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.007"]}, {"id": "34546ef7e6148d9a1fb42cfab5f0ce11c92c760a", "title": "Robust domain adaptation image classification via sparse and low rank representation", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.09.005"]}, {"id": "13907865a97afde053d7bb7134d58a7bbc12043c", "title": "Fisher discrimination based low rank matrix recovery for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.05.001"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "8b1db0894a23c4d6535b5adf28692f795559be90", "title": "How Reliable are Your Visual Attributes ?", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8b1d/b0894a23c4d6535b5adf28692f795559be90.pdf"], "doi": []}, {"id": "90fb58eeb32f15f795030c112f5a9b1655ba3624", "title": "OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 FACE AND IRIS RECOGNITION IN A VIDEO SEQUENCE USING DBPNN AND ADAPTIVE HAMMING DISTANCE", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/90fb/58eeb32f15f795030c112f5a9b1655ba3624.pdf"], "doi": []}, {"id": "ec40df721a80c62d4a768fe29b58d86b1a07f435", "title": "Local robust sparse representation for face recognition with single sample per person", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051298"]}, {"id": "f8d434471c2850c5f1d0757d42142b655fb46ddb", "title": "A New Distance Measure for Non-Identical Data with Application to Image Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.09766.pdf"], "doi": []}, {"id": "3e687d5ace90c407186602de1a7727167461194a", "title": "Photo Tagging by Collection-Aware People Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3e68/7d5ace90c407186602de1a7727167461194a.pdf"], "doi": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.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": "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": "307a810d1bf6f747b1bd697a8a642afbd649613d", "title": "An affordable contactless security system access for restricted area", "year": "2016", "pdf": [], "doi": []}, {"id": "c84991fe3bf0635e326a05e34b11ccaf74d233dc", "title": "A parameter-free label propagation algorithm for person identification in stereo videos", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.069"]}, {"id": "ec286f61f2c530b5628596c0e82ae5b07e7396c2", "title": "A Computational Study of American Sign Language Nonmanuals", "year": "2015", "pdf": [], "doi": []}, {"id": "db68105a787d7ef60ebb5bb4cfce151d47748123", "title": "Improved RGB-D-T based face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/db68/105a787d7ef60ebb5bb4cfce151d47748123.pdf"], "doi": []}, {"id": "4686bdcee01520ed6a769943f112b2471e436208", "title": "Fast search based on generalized similarity measure", "year": "2017", "pdf": ["http://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0024-5?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0024-5", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986831"]}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461885", "http://doi.org/10.1109/TPAMI.2013.37", "https://www.ncbi.nlm.nih.gov/pubmed/23969391", "https://www.wikidata.org/entity/Q51170597"]}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.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": "9806d3dc7805dd8c9c20d7222c915fc4beee7099", "title": "Self-Stimulatory Behaviours in the Wild for Autism Diagnosis", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Rajagopalan_Dhall_Goecke_ICCV2013_DSCSI_Self-StimulatoryBehavioursInTheWildForAutismDiagnosis.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Rajagopalan_Self-Stimulatory_Behaviours_in_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755972"]}, {"id": "c610101667a93d0beed6376dc8e53cdbab6f3674", "title": "Improving Deep Representation Learning with Complex and Multimodal Data.", "year": "2015", "pdf": [], "doi": []}, {"id": "b108c2a80744fc1463f9cf30ecfff79cd5d370e5", "title": "Principal Local Binary Patterns for Face Representation and Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977492"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "056d1637fac0510146431a03d81de1cbf1147d65", "title": "UHDB11 Database for 3D-2D Face Recognition", "year": "2013", "pdf": ["http://cbl.uh.edu/pub_files/uhdb11-database-for-3d-2d-face-recognition.pdf", "http://web.mit.edu/gevang/www/papers/TodericiEvangelopoulos_UHDB11_PSIVT13/TodericiEvangelopoulos_UHDB11_PSIVT13.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-53842-1_7"]}, {"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": "33548dec33abfc66bba40ac3f9651c0605d6b537", "title": "CMML : a New Metric Learning Approach for Cross Modal Matching", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3354/8dec33abfc66bba40ac3f9651c0605d6b537.pdf"], "doi": []}, {"id": "6976326c1b8706cd93620560e46dd7d3d7c15d26", "title": "Full ranking as local descriptor for visual recognition: A comparison of distance metrics on sn", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.10.010", "https://www.wikidata.org/entity/Q56814213"]}, {"id": "6b6493551017819a3d1f12bbf922a8a8c8cc2a03", "title": "Pose Normalization for Local Appearance-Based Face Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6b64/93551017819a3d1f12bbf922a8a8c8cc2a03.pdf"], "doi": []}, {"id": "19296e129c70b332a8c0a67af8990f2f4d4f44d1", "title": "Is that you? Metric learning approaches for face identification", "year": "2009", "pdf": ["http://lear.inrialpes.fr/pubs/2009/GVS09/GVS09.pdf", "http://lear.inrialpes.fr/pubs/2009/GVS09/supplmat.pdf", "https://hal.inria.fr/inria-00439290/file/verbeek09iccv2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459197", "http://doi.org/10.1109/ICCV.2009.5459197"]}, {"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": "66d490c95ac100cedd2a0886a0a5510267e042f7", "title": "With one look: 3D face shape estimation from a single snapshot", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552934", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552934", "http://doi.org/10.1109/ICME.2016.7552934"]}, {"id": "dd3b83ce1b52203afd05b15c660ec6e19580299e", "title": "Head pose estimation using improved label distribution learning with fewer annotations", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7284-2"]}, {"id": "b0b8757e6b327180824f01514cfb81b1e2823550", "title": "Robust Feature Set Matching for Partial Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751184"]}, {"id": "0dfd713c72d1f64c74c25c68bbb2616c701a878a", "title": "Local Regularization for Multiclass Classification Facing Significant Intraclass Variations", "year": "2008", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/localreg.pdf"], "doi": ["https://doi.org/10.1007/978-3-540-88693-8_55"]}, {"id": "903cae123665d885aa82b7590db0d323630d8d88", "title": "Distance metric learning for image and webpage comparison. (Apprentissage de distance pour la comparaison d'images et de pages Web)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/903c/ae123665d885aa82b7590db0d323630d8d88.pdf"], "doi": []}, {"id": "c81ee278d27423fd16c1a114dcae486687ee27ff", "title": "Search Based Face Annotation Using Weakly Labeled Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c81e/e278d27423fd16c1a114dcae486687ee27ff.pdf"], "doi": []}, {"id": "a34d75da87525d1192bda240b7675349ee85c123", "title": "Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.04690.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": "5ec94adc9e0f282597f943ea9f4502a2a34ecfc2", "title": "Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04655.pdf"], "doi": []}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1287/bfe73e381cc8042ac0cc27868ae086e1ce3b.pdf"], "doi": []}, {"id": "2d294c58b2afb529b26c49d3c92293431f5f98d0", "title": "Maximum Margin Projection Subspace Learning for Visual Data Analysis", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/mmpp_journal.pdf", "http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/Nikitidis_2014_Maximum_TIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6879493", "http://doi.org/10.1109/TIP.2014.2348868", "https://www.ncbi.nlm.nih.gov/pubmed/25148664", "https://www.wikidata.org/entity/Q30844297"]}, {"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": "5028c0decfc8dd623c50b102424b93a8e9f2e390", "title": "REVISITING CLASSIFIER TWO-SAMPLE TESTS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5028/c0decfc8dd623c50b102424b93a8e9f2e390.pdf"], "doi": []}, {"id": "77037a22c9b8169930d74d2ce6f50f1a999c1221", "title": "Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64308/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949052", "http://doi.org/10.1109/TIP.2017.2716180", "https://www.ncbi.nlm.nih.gov/pubmed/28641251", "https://www.wikidata.org/entity/Q38713616"]}, {"id": "2c48683c9663ea82fcbbd5891d892a884f1a32d0", "title": "Explore semantic pixel sets based local patterns with information entropy for face recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2c48/683c9663ea82fcbbd5891d892a884f1a32d0.pdf"], "doi": []}, {"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": "89272b78b651038ff4d294b9ccca0018d2c9033b", "title": "Low Computation Face Verification Using Class Center Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977490", "http://doi.org/10.1109/ICPR.2014.777"]}, {"id": "86915632efd021e1dca42f16df36944d08de2fbe", "title": "Face Recognition with Image Misalignment via Structure Constraint Coding", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop16/pdffiles/w16-p8.pdf", "http://vipl.ict.ac.cn/homepage/accv14his/pdffiles/w16-p8.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16634-6_41"]}, {"id": "789a781eec0cf28d4294c270bbd72f3a21e41dba", "title": "A New Implementation of Deep Neural Networks for Optical Character Recognition and Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/789a/781eec0cf28d4294c270bbd72f3a21e41dba.pdf"], "doi": []}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"], "doi": []}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "6b35b15ceba2f26cf949f23347ec95bbbf7bed64", "title": "RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor", "year": "2015", "pdf": ["http://lhncbc.nlm.nih.gov/system/files/pub9220.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.06.010", "https://www.wikidata.org/entity/Q58218947"]}, {"id": "0709bf7179cf2478d0aa5c05633dc86ff3645e31", "title": "An Efficient Face Recognition and Retrieval Using LBP and SIFT", "year": "2013", "pdf": [], "doi": []}, {"id": "a937d8d4a25709d1572192fc85c3f12759067ce8", "title": "CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06155.pdf"], "doi": []}, {"id": "2e64682caf77309db573ee439d988233f71e88ad", "title": "Establishing Good Benchmarks and Baselines for Face Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/2e64/682caf77309db573ee439d988233f71e88ad.pdf"], "doi": []}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "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": "1c46a33da36d47356cd9189a41c55ac9f5d34847", "title": "An Study on Ear Detection and Its Applications to Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1c46/a33da36d47356cd9189a41c55ac9f5d34847.pdf"], "doi": []}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2030875"]}, {"id": "f1d880b7752a5b1c06153a4ff75d31220b0313f7", "title": "Positive and negative label propagation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f1d8/80b7752a5b1c06153a4ff75d31220b0313f7.pdf"], "doi": []}, {"id": "768f6a14a7903099729872e0db231ea814eb05e9", "title": "De-Mark GAN: Removing Dense Watermark with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411205", "http://doi.org/10.1109/ICB2018.2018.00021"]}, {"id": "b1290dff343ae4980e3e853055ad9a5b9116238b", "title": "Gender Classification Based on Fusion of Different Spatial Scale Features Selected by Mutual Information From Histogram of LBP, Intensity, and Shape", "year": "2013", "pdf": ["http://www.cec.uchile.cl/~clperez/papers/Gender%20Classification%20Based%20on%20Fusion%20of%20Different%20Spatial%20Scale%20Features%20Selected%20by%20Mutual%20Information%20From%20Histogram%20of%20LBP,%20Intensity,%20and%20Shape%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418022", "http://doi.org/10.1109/TIFS.2013.2242063"]}, {"id": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.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": "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": "108b2581e07c6b7ca235717c749d45a1fa15bb24", "title": "Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose", "year": "2009", "pdf": ["http://www.cs.umd.edu/~carlos/pami09.pdf", "http://www.cs.umd.edu/~djacobs/pubs_files/TPAMI_Proofs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5010439", "http://doi.org/10.1109/TPAMI.2009.123", "https://www.ncbi.nlm.nih.gov/pubmed/19834149", "https://www.wikidata.org/entity/Q44088711"]}, {"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": "0c069a870367b54dd06d0da63b1e3a900a257298", "title": "Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs", "year": "2011", "pdf": ["https://arxiv.org/pdf/1107.3823.pdf"], "doi": []}, {"id": "7d0cb85f9f63afc23ce42b92337b12ef91fc091e", "title": "Discriminative transfer learning for single-sample face recognition", "year": "2015", "pdf": ["http://hujunlin.cn/papers/DTL_ICB15.pdf", "https://pdfs.semanticscholar.org/7d0c/b85f9f63afc23ce42b92337b12ef91fc091e.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139095", "http://doi.org/10.1109/ICB.2015.7139095"]}, {"id": "256ef291cd320d39163d3b438010256a3c40c40c", "title": "Multi-feature multi-manifold learning for single-sample face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.06.012"]}, {"id": "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "title": "Describable Visual Attributes for Face Verification and Image Search", "year": "2011", "pdf": ["http://acberg.com/papers/berg_face_attributes_pami.pdf", "http://acberg.com/papers/faceattrs_pami_submission_1.pdf", "http://neerajkumar.org/publications/base/papers/nk_pami2011_faceattrs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"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": "dfa53c8a4d66ab6219d6f00219ca7ed3909832fd", "title": "Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02733.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": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.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": "585efe3c8efd1a4fa2ed8221c278997521668bc1", "title": "Recognizing Face Images with Disguise Variations", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/c10c/ad9353c366e81518fff06350242b7e16f970.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": "7804949c133d7308d828a94a7944d47c1f0ffe67", "title": "Detection of Deep Network Generated Images Using Disparities in Color Components", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07276.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": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247976", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247976", "http://doi.org/10.1109/CVPR.2012.6247976"]}, {"id": "3e18b439a6fff09a0e4c245eb1298531cc766a72", "title": "Semi-automatic Face Image Finding Method , Which Uses the 3 D Model of the Head for Recognising an Unknown Face", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e18/b439a6fff09a0e4c245eb1298531cc766a72.pdf"], "doi": []}, {"id": "3b2697d76f035304bfeb57f6a682224c87645065", "title": "ImageNet Large Scale Visual Recognition Challenge", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.0575.pdf"], "doi": []}, {"id": "b40290a694075868e0daef77303f2c4ca1c43269", "title": "Combining Local and Global Information for Hair Shape Modeling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b402/90a694075868e0daef77303f2c4ca1c43269.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": "55a158f4e7c38fe281d06ae45eb456e05516af50", "title": "Simile Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"], "doi": []}, {"id": "6e3a181bf388dd503c83dc324561701b19d37df1", "title": "Finding a low-rank basis in a matrix subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.08601.pdf"], "doi": []}, {"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": "e4df98e4b45a598661a47a0a8900065716dafd6d", "title": "Weakly Supervised Object Class Learning Via Discriminative Subspace Models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7396808", "http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2015.219", "http://doi.org/10.1109/WI-IAT.2015.219"]}, {"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": "5e6ba16cddd1797853d8898de52c1f1f44a73279", "title": "Face Identification with Second-Order Pooling", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6818.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": "c0230b49a8576aa83805bcdf5efcafb38efd8482", "title": "Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29993977", "https://doi.org/10.1109/TPAMI.2018.2824309"]}, {"id": "6a69e245fc5d615a849518d6f6ef320b46545672", "title": "Online learning in biometrics: A case study in face classifier update", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5339071"]}, {"id": "9854145f2f64d52aac23c0301f4bb6657e32e562", "title": "An Improved Face Verification Approach Based on Speedup Robust Features and Pairwise Matching", "year": "2013", "pdf": ["http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/technical/114953_2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656208", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.57", "http://doi.org/10.1109/SIBGRAPI.2013.57"]}, {"id": "d340a135a55ecf7506010e153d5f23155dcfa7e8", "title": "MAVI: An Embedded Device to Assist Mobility of Visually Impaired", "year": "2017", "pdf": ["http://www.cse.iitd.ernet.in/~chetan/papers/mavi-vlsid2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7884781", "http://doi.ieeecomputersociety.org/10.1109/VLSID.2017.38", "http://doi.org/10.1109/VLSID.2017.38"]}, {"id": "9d839dfc9b6a274e7c193039dfa7166d3c07040b", "title": "Augmented faces", "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00869.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130218", "http://cgit.nutn.edu.tw:8080/cgit/PaperDL/LZJ_120522184630.PDF", "http://doi.org/10.1109/ICCVW.2011.6130218"]}, {"id": "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "title": "Implementation of Partial Face Recognition using Directional Binary Code", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a6c/3c37c2e62b21ebc0f3533686dde4d0103b3f.pdf"], "doi": []}, {"id": "a38808d5295350132d0e0b3031837310511f1e1d", "title": "Separable Dictionary Learning", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618907"]}, {"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": "dd600e7d6e4443ebe87ab864d62e2f4316431293", "title": "Improving facial expression analysis using histograms of Log-Transformed Nonnegative Sparse Representation with a Spatial Pyramid Structure", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553774.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553774", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553774", "http://doi.org/10.1109/FG.2013.6553774"]}, {"id": "66886997988358847615375ba7d6e9eb0f1bb27f", "title": "Prototype-Based Discriminative Feature Learning for Kinship Verification", "year": "2015", "pdf": ["http://www.kinfacew.com/papers/PDFL_TCYB15.pdf", "https://pdfs.semanticscholar.org/6688/6997988358847615375ba7d6e9eb0f1bb27f.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981937", "http://doi.org/10.1109/TCYB.2014.2376934", "https://www.ncbi.nlm.nih.gov/pubmed/25532145", "https://www.wikidata.org/entity/Q50612520"]}, {"id": "dbe255d3d2a5d960daaaba71cb0da292e0af36a7", "title": "Evolutionary Cost-Sensitive Extreme Learning Machine", "year": "2017", "pdf": ["https://arxiv.org/pdf/1505.04373.pdf"], "doi": []}, {"id": "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "title": "Joint Estimation of Pose and Face Landmark", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8ba/5cddae817c30de79a804eaf16024610c1e4f.pdf"], "doi": []}, {"id": "439ec47725ae4a3660e509d32828599a495559bf", "title": "Facial Expressions Tracking and Recognition : Database Protocols for Systems Validation and Evaluation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/439e/c47725ae4a3660e509d32828599a495559bf.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"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": "191674c64f89c1b5cba19732869aa48c38698c84", "title": "FACE IMAGE RETRIEVAL USING ATTRIBUTE-ENHANCED SPARSE CODEWORDS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1916/74c64f89c1b5cba19732869aa48c38698c84.pdf"], "doi": []}, {"id": "6b8329730b2e13178a577b878631735a1cd58a71", "title": "A Real-Time Big Data Architecture for Glasses Detection Using Computer Vision Techniques", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7300872", "http://doi.ieeecomputersociety.org/10.1109/FiCloud.2015.78", "http://doi.org/10.1109/FiCloud.2015.78"]}, {"id": "e3a3a6c1f4802ea1cd0c34d0b34e4c83689895ac", "title": "An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition", "year": "2013", "pdf": ["https://arxiv.org/pdf/1603.07800.pdf"], "doi": []}, {"id": "48d67280368d7efdc3893d286290a85a00070918", "title": "A comparison of PCA , KPCA and ICA for dimentionality reduction", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/48d6/7280368d7efdc3893d286290a85a00070918.pdf"], "doi": []}, {"id": "0ee661a1b6bbfadb5a482ec643573de53a9adf5e", "title": "On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition", "year": "2014", "pdf": ["http://epubs.surrey.ac.uk/812523/1/yunlian_TIFS2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918523", "http://doi.org/10.1109/TIFS.2014.2362007"]}, {"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": "2f13dd8c82f8efb25057de1517746373e05b04c4", "title": "Evaluation of state-of-the-art algorithms for remote face recognition", "year": "2010", "pdf": ["http://www.cfar.umd.edu/~rama/Publications/Ni_ICIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5652608", "http://doi.org/10.1109/ICIP.2010.5652608"]}, {"id": "c1178a5e02338270c18d3a80e40e3d03c165586b", "title": "Grassmann Learning for Recognition and Classification", "year": "2014", "pdf": [], "doi": []}, {"id": "87e5b4d95f95a0975e855cf5ad402db7a3c64ff5", "title": "Local Novelty Detection in Multi-class Recognition Problems", "year": "2015", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Bodesheim15:LND", "http://www.researchgate.net/profile/Paul_Bodesheim/publication/269314560_Local_Novelty_Detection_in_Multi-class_Recognition_Problems/links/5486c2420cf289302e2c35eb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045967", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.113", "http://doi.org/10.1109/WACV.2015.113"]}, {"id": "4d0ef449de476631a8d107c8ec225628a67c87f9", "title": "Face system evaluation toolkit: Recognition is harder than it seems", "year": "2010", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2010b_photohead.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634517", "http://doi.org/10.1109/BTAS.2010.5634517"]}, {"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": "c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d", "title": "Modeling for part-based visual object detection based on local features", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c8db/8764f9d8f5d44e739bbcb663fbfc0a40fb3d.pdf"], "doi": []}, {"id": "39b4b48aeb1deca67390718735511f2fb5d71c5e", "title": "Stereo Matching for Unconstrained Face Recognition Ph.D. Proposal", "year": "2009", "pdf": [], "doi": []}, {"id": "cc4dead2a6dde99c477bd52000bfcfe9589e7425", "title": "Design and analysis of a new illumination invariant human face recognition system", "year": "2012", "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": "1d3733e1a4b9d3e5b95fb7cc135a0819cba90c22", "title": "Linear subspace methods in face recognition", "year": "2011", "pdf": ["http://eprints.nottingham.ac.uk/12330/1/thesis_final.pdf"], "doi": ["http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548966"]}, {"id": "ac12a36330248eaddadd3e6e75b909e023c7674a", "title": "Towards generic image classification using tree-based learning: An extensive empirical study", "year": "2016", "pdf": ["https://orbi.uliege.be/bitstream/2268/191267/1/maree-prletters2016_accepted.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2016.01.006"]}, {"id": "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "title": "Semantic Deep Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/988d/1295ec32ce41d06e7cf928f14a3ee079a11e.pdf"], "doi": []}, {"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": "57b8e6db0002660f03c4d93174a05a6d525fa755", "title": "Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575381"]}, {"id": "1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d", "title": "The Freiburg Groceries Dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05799.pdf"], "doi": []}, {"id": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.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": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "7a2f315c4ac99091724aa7d3f22f0128a35228dc", "title": "Speeding up and augmenting mobile device applications using actors and cloud computing", "year": "2014", "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": "4af89578ac237278be310f7660a408b03f12d603", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"], "doi": []}, {"id": "26727dc7347e3338d22e8cf6092e3a3c7568d763", "title": "Discriminative low-rank metric learning for face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163088", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163088", "http://doi.org/10.1109/FG.2015.7163088"]}, {"id": "24977d59a5de4eb597347bef00f0c097a641a8dd", "title": "Random projection-based partial feature extraction for robust face recognition", "year": "2015", "pdf": ["http://matlabproject.ir/forms/files/836464.pdf", "https://pdfs.semanticscholar.org/2497/7d59a5de4eb597347bef00f0c097a641a8dd.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.004"]}, {"id": "4df34e0194faa27078832cb5078a2af6c9d0ea9b", "title": "Saliency Prediction in the Deep Learning Era: An Empirical Investigation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03716.pdf"], "doi": []}, {"id": "9d29ad7576f5ba1622aea3ec3eb14d869015a73f", "title": "An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition", "year": "2014", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/icpr2014.pdf", "https://users.aalto.fi/~kannalj1/publications/icpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977478", "http://doi.org/10.1109/ICPR.2014.765"]}, {"id": "3965d61c4f3b72044f43609c808f8760af8781a2", "title": "Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01121.pdf"], "doi": []}, {"id": "b5c30099791a909b87c736bfc269b347544a859c", "title": "Recognizing Surgically Altered Face Images", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b5c3/0099791a909b87c736bfc269b347544a859c.pdf"], "doi": []}, {"id": "5e5e11e143140cc376db466d5b096a54b900c2ba", "title": "Face Recognition in Uncontrolled Environment", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5e5e/11e143140cc376db466d5b096a54b900c2ba.pdf"], "doi": []}, {"id": "244d6cd74b690a5989b19f3eb0e8bbdfc48b11e3", "title": "Shared representation learning for heterogenous face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163093"]}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"], "doi": []}, {"id": "21e828071249d25e2edaca0596e27dcd63237346", "title": "Scalable Face Image Retrieval with Identity-Based Quantization and Multireference Reranking", "year": "2010", "pdf": ["http://research.microsoft.com/en-us/um/people/jiansun/papers/cvpr10_facesearch.pdf", "http://research.microsoft.com/pubs/155719/face-pami.pdf", "http://www.jiansun.org/papers/CVPR10_FaceSearch.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2010/06/cvpr2010.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2011/10/face-pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871641", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.111", "http://doi.org/10.1109/TPAMI.2011.111", "https://www.ncbi.nlm.nih.gov/pubmed/21646678"]}, {"id": "7aa062c6c90dba866273f5edd413075b90077b51", "title": "Minimizing Separability : A Comparative Analysis of Illumination Compensation Techniques in Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7aa0/62c6c90dba866273f5edd413075b90077b51.pdf"], "doi": []}, {"id": "a03cfd5c0059825c87d51f5dbf12f8a76fe9ff60", "title": "Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning", "year": "2008", "pdf": [], "doi": []}, {"id": "845f45f8412905137bf4e46a0d434f5856cd3aec", "title": "The Spyware Used in Intimate Partner Violence", "year": "2018", "pdf": ["https://rist.tech.cornell.edu/papers/spyware.pdf", "https://www.cs.cornell.edu/~rahul/papers/IPV_Spyware.pdf", "https://www.cs.cornell.edu/~rahul/ppts/IPV_spyware.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418618", "http://doi.ieeecomputersociety.org/10.1109/SP.2018.00061", "http://doi.org/10.1109/SP.2018.00061"]}, {"id": "9649a19b49607459cef32f43db4f6e6727080bdb", "title": "Offset Neural Network for Document Orientation Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395207", "http://doi.ieeecomputersociety.org/10.1109/DAS.2018.12", "http://doi.org/10.1109/DAS.2018.12"]}, {"id": "e1cc833f301c42579392f21335b70d0216b03ab4", "title": "Robust local features for remote face recognition", "year": "2017", "pdf": ["http://www.ee.oulu.fi/~jiechen/paper/IVC2017-Robust%20Local%20Features%20for%20Remote%20Face%20Recognition.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.05.006"]}, {"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": "8166edc1352eeef54f6d861b93673c36d67927e8", "title": "Recognizing People in Motion", "year": "2016", "pdf": ["http://egozi.tau.ac.il/gylab/wp-content/uploads/2016/05/1-s2.0-S1364661316000462-main-3.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1364661316000462?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.tics.2016.02.005", "https://www.ncbi.nlm.nih.gov/pubmed/27016844"]}, {"id": "9b2c813a94cee031325b3e76e20db7072063549f", "title": "A scalable and flexible framework for smart video surveillance", "year": "2016", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2016/11/paper_2016_CVIU.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.10.014"]}, {"id": "cce261b47bbeec42cf4036e89e2413e25f66ce61", "title": "Gender recognition from facial images : 2 D or 3 D ?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cce2/61b47bbeec42cf4036e89e2413e25f66ce61.pdf"], "doi": []}, {"id": "5f5164cf998a10d2bef37741adb562ab07fac413", "title": "A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs", "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/wuHWWTtpami16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7439821", "http://doi.org/10.1109/TPAMI.2016.2545669", "https://www.ncbi.nlm.nih.gov/pubmed/28113278", "https://www.wikidata.org/entity/Q39005289"]}, {"id": "d3b38fbaee4404e31186d9db98ecac74f48a433a", "title": "Batch image alignment via subspace recovery based on alternative sparsity pursuit", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s41095-017-0080-x"]}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.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": "c697590ddd71232174072c9680adbc7a0b30c84c", "title": "Face retrieval using frequency decoded local descriptor", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.06508.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "5ce80b41443518a14d800f6b93b4057bbb007432", "title": "Benchmarking Intelligence Processors", "year": "2017", "pdf": [], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "634541661d976c4b82d590ef6d1f3457d2857b19", "title": "Advanced Techniques for Face Recognition under Challenging Environments", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6345/41661d976c4b82d590ef6d1f3457d2857b19.pdf"], "doi": []}, {"id": "656a5d4d84c450792402b3c69eecbdbca4cad4cb", "title": "2.1. Imagenet and Related Datasets", "year": "", "pdf": ["https://pdfs.semanticscholar.org/656a/5d4d84c450792402b3c69eecbdbca4cad4cb.pdf"], "doi": []}, {"id": "97eabf253570f1fda79a0e217a7bbdb5aec871da", "title": "Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10895.pdf"], "doi": []}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "e0eb1d66f244456063409264ed795d9893565011", "title": "Inhibited Softmax for Uncertainty Estimation in Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.01861.pdf"], "doi": []}, {"id": "9b000ccc04a2605f6aab867097ebf7001a52b459", "title": "PCANet: An energy perspective", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.00944.pdf"], "doi": []}, {"id": "155205b8e288fd49bf203135871d66de879c8c04", "title": "Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02640.pdf"], "doi": []}, {"id": "cd66a1d08db3d56c91156797659b96dce8aa015f", "title": "Adaptive Locality Preserving Regression", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.00563.pdf"], "doi": []}, {"id": "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "title": "Automated Face Recognition: Challenges and Solutions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a24/31e3b35a4a4794dc38ef16e9eec2996114a1.pdf"], "doi": []}, {"id": "fb228b214e28af26f77cc1195d03c9d851b78ec6", "title": "Facial asymmetry versus facial makeup", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301753"]}, {"id": "532200db4f95055a47e16c2e2095edf063f42d6f", "title": "Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07339.pdf"], "doi": []}, {"id": "8377ac1b2dffb11cf48f456be2531c95d14aa6e5", "title": "Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11674.pdf"], "doi": []}, {"id": "a089812eefb777ac6d17cf886a0bf2b1f89ba505", "title": "DEVELOPMENT OF A COMPUTER SYSTEM FOR IDENTITY AUTHENTICATION USING ARTIFICIAL NEURAL NETWORKS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a089/812eefb777ac6d17cf886a0bf2b1f89ba505.pdf"], "doi": []}, {"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": "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": "e49372992c31412f55579397e615610748b6e6c9", "title": "Online Robust Image Alignment via Subspace Learning from Gradient Orientations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Online_Robust_Image_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Zheng_Online_Robust_Image_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237457", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.195", "http://doi.org/10.1109/ICCV.2017.195"]}, {"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": "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": "b5d14fee9658877abbbfa760dd9765db0af86ba6", "title": "Swarm intelligence and evolutionary computation approaches for 2 D face recognition : a systematic review", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b5d1/4fee9658877abbbfa760dd9765db0af86ba6.pdf"], "doi": []}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "d487142a7b8c84cb47129d91d5837345ccaa88eb", "title": "Face recognition using extended LBP features and multilevel SVM classifier", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8284596"]}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"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": "5f62cad6d777d1b621af07c4146e615f7ebacc7d", "title": "Analysis of Keystroke Dynamics for the Generation of Synthetic Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8590063"]}, {"id": "f16d6152e23b032f59eb794fac2d272daa859a79", "title": "A Face Recognition System Based on Local Binary Patterns and Support Vector Machine for Home Security Service Robot", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830848"]}, {"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": "0d5c01814f64f3be401efa4f6495d2677c16a8d8", "title": "Building an intelligent video and image analysis evaluation platform for public security", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078472", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078472", "http://doi.org/10.1109/AVSS.2017.8078472"]}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "05db8e3a342f8f239203c24d496e809a65ca7f73", "title": "Learning Diverse Image Colorization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01958.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": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.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": "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": "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": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"], "doi": []}, {"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": "5e3eacfae3009616456e7c038597eaa50ad049ca", "title": "Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea3/e84ab58ef37dc506ca4ef8b25edb4b170efd.pdf"], "doi": []}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274747", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2481396", "http://doi.org/10.1109/TPAMI.2015.2481396", "https://www.ncbi.nlm.nih.gov/pubmed/26415152"]}, {"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": "02601d184d79742c7cd0c0ed80e846d95def052e", "title": "Graphical Representation for Heterogeneous Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.00488.pdf"], "doi": []}, {"id": "0e5dad0fe99aed6978c6c6c95dc49c6dca601e6a", "title": "LATCH: Learned arrangements of three patch codes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1501.03719.pdf"], "doi": []}, {"id": "46c3b9386d63b483dc113592f587b74168d30eea", "title": "Manifesto from Dagstuhl Perspectives Workshop 12382 Computation and Palaeography : Potentials and Limits \u2217", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/46c3/b9386d63b483dc113592f587b74168d30eea.pdf"], "doi": []}, {"id": "b747fcad32484dfbe29530a15776d0df5688a7db", "title": "Background suppressing Gabor energy filtering", "year": "2015", "pdf": ["http://www.cs.csub.edu/~acruz/papers/10.1016-j.patrec.2014.10.001.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.10.001"]}, {"id": "205b34b6035aa7b23d89f1aed2850b1d3780de35", "title": "Log-domain polynomial filters for illumination-robust face recognition", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p504-jiang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853647", "http://doi.org/10.1109/ICASSP.2014.6853647"]}, {"id": "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "title": "Reference Face Graph for Face Recognition", "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/ReferenceFaceGraphforFaceRecognition14.pdf", "http://www.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://www.ee.ucr.edu/~lan/papers/AnTIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905824", "http://doi.org/10.1109/TIFS.2014.2359548"]}, {"id": "5d2a9519b5d421a58dbb02b0b836f04ab396525d", "title": "Uncorrelated regularized local Fisher discriminant analysis for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.23.4.043017"]}, {"id": "7918698ffa86cdd6123bc2f1f613be1ab38c0d2f", "title": "Learning to Recognize Faces in Realistic Conditions", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7918/698ffa86cdd6123bc2f1f613be1ab38c0d2f.pdf"], "doi": []}, {"id": "d78077a7aa8a302d4a6a09fb9737ab489ae169a6", "title": "Robust Face Recognition with Structural Binary Gradient Patterns", "year": "2017", "pdf": ["https://arxiv.org/pdf/1506.00481.pdf"], "doi": []}, {"id": "46976097c54e86032932d559c8eb82ffea4bb6bb", "title": "Facial emotion recognition with anisotropic inhibited Gabor energy histograms", "year": "2013", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/FACIAL%20EMOTION%20RECOGNITION%20WITH13.pdf", "http://www.cris.ucr.edu/IGERT/Presentation2013/CruzAbstract.pdf", "http://www.cris.ucr.edu/IGERT/Presentation2013/FACIAL%20EMOTION%20RECOGNITION.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738868", "http://doi.org/10.1109/ICIP.2013.6738868"]}, {"id": "83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6", "title": "A multi-perspective holistic approach to Kinship Verification in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284834", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284834", "http://doi.org/10.1109/FG.2015.7284834"]}, {"id": "28b5b5f20ad584e560cd9fb4d81b0a22279b2e7b", "title": "A New Fuzzy Stacked Generalization Technique and Analysis of its Performance", "year": "2012", "pdf": ["https://arxiv.org/pdf/1204.0171.pdf"], "doi": []}, {"id": "a14ae81609d09fed217aa12a4df9466553db4859", "title": "Face Identification Using Large Feature Sets", "year": "2012", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2011_TIP.pdf", "http://www.umiacs.umd.edu/~jhchoi/paper/tip12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6086621", "http://doi.org/10.1109/TIP.2011.2176951", "https://www.ncbi.nlm.nih.gov/pubmed/22128005", "https://www.wikidata.org/entity/Q34086406"]}, {"id": "430c4d7ad76e51d83bbd7ec9d3f856043f054915", "title": "Two decades of local binary patterns: A survey", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06795.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": "a324d61c79fe2e240e080f0dab358aa72dd002b3", "title": "Adaptive noise dictionary construction via IRRPCA for face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.02.005"]}, {"id": "a8e75978a5335fd3deb04572bb6ca43dbfad4738", "title": "Sparse graphical representation based discriminant analysis for heterogeneous face recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1607.00137.pdf"], "doi": []}, {"id": "0fc4d0c328036cc197a48f278f7c15cb12860f3a", "title": "Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0011"]}, {"id": "942b89d8d17e89e58c82453de2bfcbbeb09adc81", "title": "Semi-supervised linear discriminant analysis for dimension reduction and classification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.02.019"]}, {"id": "81831ed8e5b304e9d28d2d8524d952b12b4cbf55", "title": "Discriminative histograms of local dominant orientation (D-HLDO) for biometric image feature extraction", "year": "2013", "pdf": ["http://www.ai.rug.nl/~sheng/subsection/hldo.pdf", "https://pdfs.semanticscholar.org/8183/1ed8e5b304e9d28d2d8524d952b12b4cbf55.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.03.005"]}, {"id": "1a9337d70a87d0e30966ecd1d7a9b0bbc7be161f", "title": "A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Tapabrata_Chakraborti/publication/262340257_A_novel_binary_adaptive_weight_GSA_based_feature_selection_for_face_recognition_using_local_gradient_patterns_modified_census_transform_and_local_binary_patterns/links/54bf8c600cf2f6bf4e04fab5.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2014.04.006"]}, {"id": "98a660c15c821ea6d49a61c5061cd88e26c18c65", "title": "Face Databases for 2 D and 3 D Facial Recognition : A Survey", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/98a6/60c15c821ea6d49a61c5061cd88e26c18c65.pdf"], "doi": []}, {"id": "34a41ec648d082270697b9ee264f0baf4ffb5c8d", "title": "Integration of multi-feature fusion and dictionary learning for face recognition", "year": "2013", "pdf": ["http://www.cs.zju.edu.cn/people/wangdh/papers/IVC.pdf?doi=10.1016/j.imavis.2013.10.002&domain=f"], "doi": ["http://doi.org/10.1016/j.imavis.2013.10.002"]}, {"id": "bcd4e549928260d247f3ca67659a65ffcd429e98", "title": "On using Additional Unlabeled Data for Improving Dissimilarity-Based Classifications", "year": "2013", "pdf": [], "doi": []}, {"id": "395a91d49e9283e1bf2d61a75c3dc846b347ea74", "title": "On-Demand Virtual Health Counselor for Delivering Behavior-Change Health Interventions", "year": "2013", "pdf": ["http://cake.fiu.edu/Publications/Reza+al-13-OV.On-demand_Virtual_Health.IEEE.downloaded.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6680460", "http://doi.ieeecomputersociety.org/10.1109/ICHI.2013.13", "http://doi.org/10.1109/ICHI.2013.13"]}, {"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": "fd649233d62bf43d589818fbb41295e2d0669aeb", "title": "An Improved Crack Detection Algorithm Based on Characteristics of Texture Analysis and Gravity Model", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048157"]}, {"id": "4e21fb066ea5eee04f3e2090bb4348344ae980a2", "title": "Face Recognition using Features Combination and a New Non-linear Kernel Essam", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0447/0861408d14cc860f24e73d93b3bb476492d0.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": "d8288322f32ee4501cef5a9b667e5bb79ebd7018", "title": "Facing scalability: Naming faces in an online social network", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2011.12.018"]}, {"id": "fec295c6b6a1795d8ccb4592603040794667dfa7", "title": "LDOP: Local Directional Order Pattern for Robust Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07441.pdf"], "doi": []}, {"id": "17cf838720f7892dbe567129dcf3f7a982e0b56e", "title": "Global-Local Face Upsampling Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07235.pdf"], "doi": []}, {"id": "176d9121e4e645344de4706dfb345ad456bfb84a", "title": "Efficient algorithm for sparse coding and dictionary learning with applications to face recognition", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.24.2.023009"]}, {"id": "ae8240095c9cca2c395f173fece2f46277b94929", "title": "Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.06.045"]}, {"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": "61084a25ebe736e8f6d7a6e53b2c20d9723c4608", "title": "Face recognition for web-scale datasets", "year": "2014", "pdf": ["http://briancbecker.com/files/downloads/publications/Ortiz_CVIU13.pdf", "http://crcv-web.eecs.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://crcv.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://www.enriquegortiz.com/publications/OrtizBecker_Webscale_CVIU.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2013.09.004"]}, {"id": "3a2fc58222870d8bed62442c00341e8c0a39ec87", "title": "Probabilistic Local Variation Segmentation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3a2f/c58222870d8bed62442c00341e8c0a39ec87.pdf"], "doi": []}, {"id": "9c0fd1134aa730c876c4020fc4e54f6e7162109a", "title": "Unconstrained face identification with multi-scale block-based correlation", "year": "2016", "pdf": [], "doi": []}, {"id": "75e5ba7621935b57b2be7bf4a10cad66a9c445b9", "title": "Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning", "year": "2014", "pdf": ["http://www.pris.net.cn/wp-content/uploads/2010/11/whdeng_pr4.pdf", "https://pdfs.semanticscholar.org/75e5/ba7621935b57b2be7bf4a10cad66a9c445b9.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.06.020"]}, {"id": "1063be2ad265751fb958b396ee26167fa0e844d2", "title": "A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369056", "http://doi.org/10.1109/ACCESS.2018.2842078"]}, {"id": "62e0380a86e92709fe2c64e6a71ed94d152c6643", "title": "Facial emotion recognition with expression energy", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2388777"]}, {"id": "0059b3dfc7056f26de1eabaafd1ad542e34c2c2e", "title": "I Can Help You Change! An Empathic Virtual Agent Delivers Behavior Change Health Interventions", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2544103"]}, {"id": "0394e684bd0a94fc2ff09d2baef8059c2652ffb0", "title": "Median Robust Extended Local Binary Pattern for Texture Classification", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/liuLFGWPtip16.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/TIP2522378.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7393828", "http://doi.org/10.1109/ICIP.2015.7351216", "https://www.ncbi.nlm.nih.gov/pubmed/26829791"]}, {"id": "e0679f8cf0029c04a95d966f562eb0bac3145adf", "title": "Harnessing auxiliary information : New methods to improve person identification", "year": "2015", "pdf": [], "doi": []}]}
\ No newline at end of file
+{"id": "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "citations": [{"id": "0db1cd7a4aed9d17256b02946660a2ea902d6635", "title": "Keystroke Biometrics Ongoing Competition", "year": "2016", "pdf": ["http://atvs.ii.uam.es/audias/files/2016_IEEEAccess_KBOC_Aythami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738412", "http://doi.org/10.1109/ACCESS.2016.2626718"]}, {"id": "303828619630ca295f772be0a7b9fe8007dfaea3", "title": "Face verification in the wild using similarity in representations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324125"]}, {"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": "b216040f110d2549f61e3f5a7261cab128cab361", "title": "Weighted Voting of Discriminative Regions for Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b216/040f110d2549f61e3f5a7261cab128cab361.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": "77d31d2ec25df44781d999d6ff980183093fb3de", "title": "The Multiverse Loss for Robust Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.09033.pdf"], "doi": []}, {"id": "27e97b67a8401def58eb41b4b00d3dfb0e4ad1a8", "title": "Knowledge Based Face Detection Using Fusion Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/27e9/7b67a8401def58eb41b4b00d3dfb0e4ad1a8.pdf"], "doi": []}, {"id": "d6e785d3466eeaaae1f6c792f679d1111ab30302", "title": "People tracking and re-identification by face recognition for RGB-D camera networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8098689", "http://doi.org/10.1109/ECMR.2017.8098689"]}, {"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": "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": "b624d6eaa1d21e2a34e1b9bc34cfe2159ed39449", "title": "Cross Audio-Visual Speaker Identification in the Wild Using Deep Learning", "year": "2017", "pdf": [], "doi": []}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"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": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "2d88e7922d9f046ace0234f9f96f570ee848a5b5", "title": "Building Better Detection with Privileged Information", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d88/e7922d9f046ace0234f9f96f570ee848a5b5.pdf"], "doi": []}, {"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": "65ee4de888e5b934429dcb126ee0ae544156c9bd", "title": "Face recognition using linear representation ensembles", "year": "2016", "pdf": ["http://bmc.uestc.edu.cn/~fshen/PR2016_hanxi.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.011"]}, {"id": "df51dfe55912d30fc2f792561e9e0c2b43179089", "title": "Face Hallucination Using Linear Models of Coupled Sparse Support", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.06009.pdf"], "doi": []}, {"id": "b26d23501f8e9f89ce822057a6c645bc9a634b2c", "title": "Multi Seed Authentication Using S/Key Scheme", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7336335", "http://doi.org/10.1109/HPCC-CSS-ICESS.2015.104"]}, {"id": "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "title": "Eigen-PEP for Video Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3393/459600368be2c4c9878a3f65a57dcc0c2cfa.pdf"], "doi": []}, {"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"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": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "214ac8196d8061981bef271b37a279526aab5024", "title": "Face Recognition Using Smoothed High-Dimensional Representation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/214a/c8196d8061981bef271b37a279526aab5024.pdf"], "doi": []}, {"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": "d9208c964bed4cc0055e313353c73fd00a60c412", "title": "Multi-class Fukunaga Koontz discriminant analysis for enhanced face recognition", "year": "2016", "pdf": ["https://users.ece.cmu.edu/~juefeix/felix_pr16_fkda.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.10.007"]}, {"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": "6abdeda10a4261ae2d91806d367f7eca19e44792", "title": "Face recognition in real-world images", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001482.pdf", "https://infoscience.epfl.ch/record/224338/files/1926.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952403", "http://doi.org/10.1109/ICASSP.2017.7952403"]}, {"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": "52e181018aa26df71a02ffffaa1d061fc43cf09d", "title": "Coupled 3D Convolutional Neural Networks for Audio-Visual Recognition", "year": "2017", "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": "930b3472592ced6665cd630be7ae57d4abb8b4b1", "title": "Development of two novel face-recognition CAPTCHAs: A security and usability study", "year": "2016", "pdf": ["https://epub.uni-regensburg.de/33570/1/CAPTCHA_Usability.pdf"], "doi": ["http://doi.org/10.1016/j.cose.2016.03.007"]}, {"id": "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "title": "Face Verification Based on Relational Disparity Features and Partial Least Squares Models", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_SIBGRAPI_Vareto.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097314", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.34", "http://doi.org/10.1109/SIBGRAPI.2017.34"]}, {"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": "4be3d083e05fed1adc1af3dc4a119b74590b0eaa", "title": "Image-Based Seed Generation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7809735", "http://doi.ieeecomputersociety.org/10.1109/CIC.2016.064", "http://doi.org/10.1109/CIC.2016.064"]}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.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": "5ec7925cb1af29cc4916ed552a59db42c82f52d0", "title": "Cross Audio-Visual Recognition in the Wild Using Deep Learning", "year": "2017", "pdf": [], "doi": []}, {"id": "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "title": "Personalized Age Progression with Bi-Level Aging Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01039.pdf"], "doi": []}, {"id": "aaec8141d57d29aa3cedf1baec9633180ddb7a3d", "title": "Geometry-aware metric learning for similar face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552916", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552916", "http://doi.org/10.1109/ICME.2016.7552916"]}, {"id": "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "title": "Compare and Contrast: Learning Prominent Visual Differences", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00112.pdf"], "doi": []}, {"id": "e97ba85a4550667b8a28f83a98808d489e0ff3bc", "title": "A Research on Fast Face Feature Points Detection on Smart Mobile Devices", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1155/2018%2F9729014", "https://doi.org/10.1155/2018/9729014"]}, {"id": "3ebb0209d5e99b22c67e425a67a959f4db8d1f47", "title": "Subspace-Based Convolutional Network for Handwritten Character Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270104", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.173", "http://doi.org/10.1109/ICDAR.2017.173"]}, {"id": "0b5915fdba1e99e401f0e964deed33a9e12357bb", "title": "Component-Based Representation in Automated Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6341076"]}, {"id": "67c56c3893d4ecac99e263e1374ce851fb988e4f", "title": "A New Approach to Partial Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/67c5/6c3893d4ecac99e263e1374ce851fb988e4f.pdf"], "doi": []}, {"id": "9ec9a80b1c9ee6450f4419f01e457bb87d91bd5e", "title": "Optimized projection for Collaborative Representation based Classification and its applications to face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2016.01.012"]}, {"id": "ce5ee0c014b5559c8f294c34076de7e978f84844", "title": "Efficient object detection by prediction in 3D space", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.sigpro.2014.08.039"]}, {"id": "741da133076cee3cd0efa848e8ef8aee5adc98c9", "title": "Fisher's linear discriminant embedded metric learning", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2014.06.030"]}, {"id": "46d477442fa49a497b5ec794b613f127ee647bc5", "title": "Unrolling the Shutter: CNN to Correct Motion Distortions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099735"]}, {"id": "9360cdc6ea9d1d373ff31387b5528fcea2d815ea", "title": "Honeycomb Model Based Skin Color Detector for Face Detection", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4749499"]}, {"id": "2775de727d56d50b63d473ef2ec7bfee9b62b185", "title": "Hand it over or set it down: A user study of object delivery with an assistive mobile manipulator", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5326254"]}, {"id": "43aa40eaa59244c233f83d81f86e12eba8d74b59", "title": "Fast pose invariant face recognition using super coupled multiresolution Markov Random Fields on a GPU", "year": "2014", "pdf": ["https://udrc.eng.ed.ac.uk/sites/udrc.eng.ed.ac.uk/files/publications/Pose_invariantPRL2014_kittler.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.05.017"]}, {"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": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3", "title": "Dynamic Image-to-Class Warping for Occluded Face Recognition", "year": "2014", "pdf": ["http://wrap.warwick.ac.uk/63261/13/WRAP_Wei_TIFS2014-WEI.pdf", "http://www2.warwick.ac.uk/fac/sci/dcs/people/chang-tsun_li/publications/TIF_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906281", "http://doi.org/10.1109/TIFS.2014.2359632"]}, {"id": "133f01aec1534604d184d56de866a4bd531dac87", "title": "Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5674057"]}, {"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": "2c06781ba75d51f5246d65d1acf66ab182e9bde6", "title": "Open-set face recognition across look-alike faces in real-world scenarios", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.11.002"]}, {"id": "d0f690b9ad1d66e06e4da18381d92443e9d15f11", "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578642"]}, {"id": "0037bff7be6d463785d4e5b2671da664cd7ef746", "title": "Multiple Instance Metric Learning from Automatically Labeled Bags of Faces", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/0037/bff7be6d463785d4e5b2671da664cd7ef746.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": "59ac40ba02eb812e08f8a80f2303d7d97376fae9", "title": "Unsupervised Joint Alignment, Clustering and Feature Learning", "year": "2014", "pdf": [], "doi": []}, {"id": "75e7fa7290b9b740559725b9c59df0d457523ee3", "title": "A pr 2 01 8 Ultra Power-Efficient CNN Domain Specific Accelerator with 9 . 3 TOPS / Watt for Mobile and Embedded Applications", "year": "2018", "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": "288dbc40c027af002298b38954d648fddd4e2fd3", "title": "Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/288d/bc40c027af002298b38954d648fddd4e2fd3.pdf"], "doi": []}, {"id": "0faf441a1ef1e788fb9ccd20484b104a1fa95ee8", "title": "A brief review on techniques for recognizing images under varying poses", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124975", "http://doi.org/10.1109/ECS.2015.7124975"]}, {"id": "7a99b250f070e5adba3ed9483ea7ea47fc71ac8c", "title": "Efficient face recognition using wavelet-based generalized neural network", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.sigpro.2012.09.012"]}, {"id": "1b6394178dbc31d0867f0b44686d224a19d61cf4", "title": "EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca8e/5419fd570f19643425b24da801283b706fc1.pdf"], "doi": []}, {"id": "d065996d413814b58092d4b881f3ac6e9d6b15d8", "title": "CBR TECHNIQUES WITH SPARSE CODEWORDS TO RETRIEVE FACE IMAGE", "year": "2015", "pdf": [], "doi": []}, {"id": "1d53aebe67d0e088e2da587fd6b08c8e8ed7f45c", "title": "A Selection Module for Large-Scale Face Recognition Systems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1d53/aebe67d0e088e2da587fd6b08c8e8ed7f45c.pdf"], "doi": []}, {"id": "7480d8739eb7ab97c12c14e75658e5444b852e9f", "title": "MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfe4/b03951be323394e6749f6a30b2ac9b924479.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": "14e949f5754f9e5160e8bfa3f1364dd92c2bb8d6", "title": "Multi-subregion based correlation filter bank for robust face recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1603.07604.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "ac6b280f2a43516fbaf92073304002f9f4da0188", "title": "Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients", "year": "2014", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/PR14b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.03.024"]}, {"id": "94a7c97d1e3eb5dbfb20b180780451486597a9be", "title": "Facial attributes for active authentication on mobile devices", "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/attrspaper_final.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.004"]}, {"id": "210668e2dd74916ca1aa1555aff30e78cd3f477e", "title": "Detector of Facial Landmarks Learned by the Structured Output SVM", "year": "2012", "pdf": [], "doi": []}, {"id": "8e3d0b401dec8818cd0245c540c6bc032f169a1d", "title": "McGan: Mean and Covariance Feature Matching GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08398.pdf"], "doi": []}, {"id": "d37519f8b26a86162bff65ee48d3a805773b7c98", "title": "Fast and efficient compact feature descriptor for face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076785"]}, {"id": "269912f07c693453dbe5ae69175d06e841e2d9b5", "title": "Adapting pedestrian detectors to new domains: A comprehensive review", "year": "2016", "pdf": ["http://eprints.whiterose.ac.uk/102212/1/elsarticle-template-num.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2016.01.029", "https://www.wikidata.org/entity/Q57949181"]}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "0fa077478abea097a1b74915ccaaeb4952eaaec7", "title": "Object Classification With Joint Projection and Low-Rank Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.01594.pdf"], "doi": []}, {"id": "e692870efb009da4b9316678b354ae935fdf48eb", "title": "An Efficient and Robust Gender Classification System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7546094"]}, {"id": "02a92b79391ddac0acef4f665b396f7f39ca2972", "title": "Fusing landmark-based features at kernel level for face recognition \u2606", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.021"]}, {"id": "c3fb2399eb4bcec22723715556e31c44d086e054", "title": "Face recognition based on SIGMA sets of image features", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p499-srinivasan.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853646", "http://doi.org/10.1109/ICASSP.2014.6853646"]}, {"id": "cfbb2d32586b58f5681e459afd236380acd86e28", "title": "Improving alignment of faces for recognition", "year": "2011", "pdf": ["http://www.professeurs.polymtl.ca/christopher.pal/2011/ROSE.v2.5.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6058545", "http://doi.org/10.1109/ROSE.2011.6058545"]}, {"id": "2916dbb29b6b9b13f6d4f7517c239de9bd81b4f4", "title": "Online Heterogeneous Transfer Metric Learning", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0350.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F350", "https://doi.org/10.24963/ijcai.2018/350"]}, {"id": "8913a5b7ed91c5f6dec95349fbc6919deee4fc75", "title": "BigBIRD: A large-scale 3D database of object instances", "year": "2014", "pdf": ["http://www.cs.berkeley.edu/~karthik.narayan/assets/2014-ICRA-BigBIRD.pdf", "http://www.cs.cornell.edu/~hema/rgbd-workshop-2014/papers/Singh.pdf", "https://people.eecs.berkeley.edu/~pabbeel/papers/2014-ICRA-BigBIRD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906903", "http://doi.org/10.1109/ICRA.2014.6906903"]}, {"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": "4d9b757b51e52dc5da81f47f7006833269a55ff2", "title": "Extrapolating Expected Accuracies for Large Multi-Class Problems", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09713.pdf"], "doi": []}, {"id": "ae1c92ae7e836eb3d964b998ac5f8699e5c90cfc", "title": "Large Scale Visual Recognition", "year": "2012", "pdf": [], "doi": []}, {"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": "0b8c92463f8f5087696681fb62dad003c308ebe2", "title": "On matching sketches with digital face images", "year": "2010", "pdf": ["https://www.iiitd.edu.in/~richa/papers/BTAS10-Sketch.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634507", "http://doi.org/10.1109/BTAS.2010.5634507"]}, {"id": "de878384f00b6ce1caa66ac01735fb4b63ad0279", "title": "Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1049/iet-ipr.2014.0670"]}, {"id": "1bc075fd7cc4bd847c9dbf4e990f295954b89fe6", "title": "Towards Large-Scale 3D Face Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797090", "http://doi.org/10.1109/DICTA.2016.7797090"]}, {"id": "5a93f9084e59cb9730a498ff602a8c8703e5d8a5", "title": "Face Recognition using Local Quantized Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5a93/f9084e59cb9730a498ff602a8c8703e5d8a5.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": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "008d536060dfb10782e889f133551c9b87b2cfa2", "title": "Covariance descriptor based on bio-inspired features for person re-identification and face verification", "year": "2014", "pdf": ["https://hal.archives-ouvertes.fr/file/index/docid/1009958/filename/14_IMAVIS_REID.pdf", "https://jurie.users.greyc.fr/papers/14_IMAVIS_REID.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2014.04.002", "https://hal.archives-ouvertes.fr/hal-01009958/document"]}, {"id": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6008646", "http://doi.org/10.1109/TIP.2011.2166974", "https://www.ncbi.nlm.nih.gov/pubmed/21896385", "https://www.wikidata.org/entity/Q48113135"]}, {"id": "c5fe40875358a286594b77fa23285fcfb7bda68e", "title": "Face identification using reference-based features with message passing model", "year": "2013", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2012.pdf", "http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf", "https://cis.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2012.06.032"]}, {"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": "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": "13141284f1a7e1fe255f5c2b22c09e32f0a4d465", "title": "Object Tracking by Oversampling Local Features", "year": "2014", "pdf": ["http://www.micc.unifi.it/pernici/index_files/ALIEN_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6684527", "http://doi.org/10.1109/TPAMI.2013.250", "https://www.ncbi.nlm.nih.gov/pubmed/26353156", "https://www.wikidata.org/entity/Q48652939"]}, {"id": "f19ab817dd1ef64ee94e94689b0daae0f686e849", "title": "Blickrichtungsunabh\u00e4ngige Erkennung von Personen in Bild- und Tiefendaten", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f19a/b817dd1ef64ee94e94689b0daae0f686e849.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": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "ada73060c0813d957576be471756fa7190d1e72d", "title": "VRPBench: A Vehicle Routing Benchmark Tool.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05402.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": "45dffa3cd37371c5eed78b6f170c7ab3b5cc491f", "title": "Face Recognition Using a Unified 3D Morphable Model", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0431/7e63c08e7888cef480fe79f12d3c255c5b00.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"], "doi": []}, {"id": "8c9b29d6df5601d0bc9f6164d99a26a1cb1e256d", "title": "Two-Dimensional Joint Bayesian Method for Face Verification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8c9b/29d6df5601d0bc9f6164d99a26a1cb1e256d.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7094272", "http://doi.org/10.1109/TIP.2015.2426413", "https://www.ncbi.nlm.nih.gov/pubmed/25915959"]}, {"id": "51c3050fb509ca685de3d9ac2e965f0de1fb21cc", "title": "Fantope Regularization in Metric Learning", "year": "2014", "pdf": ["http://cedric.cnam.fr/~thomen/papers/Law_CVPR_2014_Fantope.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/Fantope%20Regularization%20in%20Metric%20Learning%20-%20byh.pdf", "http://www-poleia.lip6.fr/~lawm/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Law_Fantope_Regularization_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909534", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.138", "http://doi.org/10.1109/CVPR.2014.138", "https://hal.archives-ouvertes.fr/hal-01094074/document"]}, {"id": "1617f56c86bf8ea61de62062a97961d23fcf03d3", "title": "Facial Similarity Learning with Humans in the Loop", "year": "2015", "pdf": ["https://page-one.springer.com/pdf/preview/10.1007/s11390-015-1540-3"], "doi": ["http://doi.org/10.1007/s11390-015-1540-3"]}, {"id": "26bf242c40b86e70f2a5f9db5a34f0ac6345f14c", "title": "Adversarial Metric Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03170.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": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "e724c9a69613bef36f67ae7ed6850b1942918804", "title": "Recognition of Faces Using Discriminative Features of LBP and HOG Descriptor in Varying Environment", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7546129"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "5a8f96f6906af8fbf73810b88c68b84a31555f60", "title": "Iterative Grassmannian Optimization for Robust Image Alignment", "year": "2014", "pdf": ["https://arxiv.org/pdf/1306.0404.pdf"], "doi": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"], "doi": []}, {"id": "db0b512d4473bf9d08875bc001038e9a3fc71a11", "title": "Research on Unstructured Text Data Mining and Fault Classification Based on RNN-LSTM with Malfunction Inspection Report", "year": "2017", "pdf": ["http://www.mdpi.com/1996-1073/10/3/406/pdf"], "doi": ["https://doi.org/10.3390/en10030406"]}, {"id": "818e537b0c6ec8b388ab14d947dda50ff2f8ed13", "title": "Semi Supervised Learning in Wild Faces and Videos", "year": "2011", "pdf": [], "doi": []}, {"id": "3b9d94752f8488106b2c007e11c193f35d941e92", "title": "Appearance , Visual and Social Ensembles for Face Recognition in Personal Photo Collections", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3b9d/94752f8488106b2c007e11c193f35d941e92.pdf"], "doi": []}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "3e4acf3f2d112fc6516abcdddbe9e17d839f5d9b", "title": "Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04363.pdf"], "doi": []}, {"id": "ce54e891e956d5b502a834ad131616786897dc91", "title": "Face Recognition Using LTP Algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce54/e891e956d5b502a834ad131616786897dc91.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": "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": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "60b3601d70f5cdcfef9934b24bcb3cc4dde663e7", "title": "Binary Gradient Correlation Patterns for Robust Face Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/60b3/601d70f5cdcfef9934b24bcb3cc4dde663e7.pdf"], "doi": []}, {"id": "c813413fc84be33d7c4ccdd4a1f025ccc73a77bd", "title": "Discriminative Bayesian Active Shape Models", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c813/413fc84be33d7c4ccdd4a1f025ccc73a77bd.pdf"], "doi": []}, {"id": "753bfc20fc820d33b8069dde1ddcb3a662d07a3f", "title": "Bilateral Two-Dimensional Neighborhood Preserving Discriminant Embedding for Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013795"]}, {"id": "48bc87ccc6b6e2d318f91d5f1886432806fec553", "title": "Multiaccuracy: Black-Box Post-Processing for Fairness in Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12317.pdf"], "doi": []}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"], "doi": []}, {"id": "0a88f5936528dcfdd27df886b07e62f2fd2072d0", "title": "Supervised Congealing for Simultaneous Face Normalization and Eye Localization", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5344056"]}, {"id": "367f5243e3a7cd3dede3a9b2c540906d18161636", "title": "Weakly supervised learning from multiple modalities: exploiting video, audio and text for video understanding", "year": "2009", "pdf": [], "doi": []}, {"id": "a0b87e556ea7f4e1f5daafdd334c23549d593f48", "title": "Robot semantic place recognition based on deep belief networks and a direct use of tiny images. (Robot de reconnaissance des lieux s\u00e9mantiques bas\u00e9e sur l'architecture profonde et une utilisation directe de mini-images)", "year": "2012", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-00960289", "https://tel.archives-ouvertes.fr/tel-00960289/document"]}, {"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": "731d33256d42dc4146019954c46c566aa666d7f2", "title": "Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578549", "http://doi.org/10.1109/CVPR.2018.00451"]}, {"id": "ad7df582a51dab276cf3db3a56c4b7166bc3632c", "title": "SIFRS: Spoof Invariant Facial Recognition System (A Helping Hand for Visual Impaired People)", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8493971"]}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.pdf"], "doi": []}, {"id": "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "title": "Viola-Jones based detectors: how much affects the training set?", "year": "2011", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15079/5/C075_LNCS_IBPRIA11_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-21257-4_37"]}, {"id": "2ef51b57c4a3743ac33e47e0dc6a40b0afcdd522", "title": "Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition", "year": "2011", "pdf": ["https://arxiv.org/pdf/1108.1122.pdf"], "doi": []}, {"id": "917423ac7e47cc6131084f645444aaf98cb98395", "title": "A high-throughput screening approach to discovering good forms of inspired visual representation", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/9174/23ac7e47cc6131084f645444aaf98cb98395.pdf"], "doi": []}, {"id": "2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd", "title": "Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f17/f6c460e02bd105dcbf14c9b73f34c5fb59bd.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": "743e582c3e70c6ec07094887ce8dae7248b970ad", "title": "Face Recognition based on Deep Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/743e/582c3e70c6ec07094887ce8dae7248b970ad.pdf"], "doi": []}, {"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "title": "Attribute and simile classifiers for face verification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459250"]}, {"id": "aba9acb4a607071af10684f2cfbdefa0507a4e9a", "title": "Uncorrelated multi-set feature learning for color face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.06.010"]}, {"id": "7db00be42ded44f87f23661c49913f9d64107983", "title": "TROPE R HCRAESE R PAID I 2 D FACE RECOGNITION : AN EXPERIMENTAL AND REPRODUCIBLE RESEARCH SURVEY", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7db0/0be42ded44f87f23661c49913f9d64107983.pdf"], "doi": []}, {"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": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977254", "http://doi.org/10.1109/ICPR.2014.542"]}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "baa6b659c18ede26085dff29fb1b3130217e9102", "title": "Head pose estimation using image abstraction and local directional quaternary patterns for multiclass classification", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2014.03.017"]}, {"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": "6c01b349edb2d33530e8bb07ba338f009663a9dd", "title": "Cross-Media Alignment of Names and Faces", "year": "2010", "pdf": ["http://class.inrialpes.fr/pub/pham-tmm09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5332299", "http://doi.org/10.1109/TMM.2009.2036232", "https://doi.org/10.1109/TMM.2009.2036232"]}, {"id": "238fc68b2e0ef9f5ec043d081451902573992a03", "title": "Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition", "year": "2016", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ChuanxianRen-ELGOF-TCYB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7302030", "http://doi.org/10.1109/TCYB.2015.2484356", "https://www.ncbi.nlm.nih.gov/pubmed/26513817", "https://www.wikidata.org/entity/Q40379538"]}, {"id": "50f0c495a214b8d57892d43110728e54e413d47d", "title": "Pairwise support vector machines and their application to large scale problems", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/50f0/c495a214b8d57892d43110728e54e413d47d.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": "02e133aacde6d0977bca01ffe971c79097097b7f", "title": "Convolutional Neural Fabrics", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02492.pdf"], "doi": []}, {"id": "1da83903c8d476c64c14d6851c85060411830129", "title": "Iterated Support Vector Machines for Distance Metric Learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00363.pdf"], "doi": []}, {"id": "5b0ebb8430a04d9259b321fc3c1cc1090b8e600e", "title": "The One-Shot similarity kernel", "year": "2009", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/osskernel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459323", "http://doi.org/10.1109/ICCV.2009.5459323"]}, {"id": "4526992d4de4da2c5fae7a5ceaad6b65441adf9d", "title": "System for Medical Mask Detection in the Operating Room Through Facial Attributes", "year": "2015", "pdf": ["http://persoal.citius.usc.es/manuel.mucientes/pubs/Nieto-Rodriguez15_ibpria.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_16"]}, {"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": "90d735cffd84e8f2ae4d0c9493590f3a7d99daf1", "title": "Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90d7/35cffd84e8f2ae4d0c9493590f3a7d99daf1.pdf"], "doi": []}, {"id": "e8dda897372e6b4cf903234c7a9c40117711d8d8", "title": "What do you think of my picture? Investigating factors of influence in profile images context perception", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e8dd/a897372e6b4cf903234c7a9c40117711d8d8.pdf"], "doi": []}, {"id": "7c2ecfb2feb2b8bd61232567631fe5c0f336cc14", "title": "Unblinking eyes: the ethics of automating surveillance", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s10676-012-9291-0"]}, {"id": "27a0a7837f9114143717fc63294a6500565294c2", "title": "Face Recognition in Unconstrained Environments : A Comparative Study", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/27a0/a7837f9114143717fc63294a6500565294c2.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": "a95dc0c4a9d882a903ce8c70e80399f38d2dcc89", "title": "Review and Implementation of High-Dimensional Local Binary Patterns and Its Application to Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a95d/c0c4a9d882a903ce8c70e80399f38d2dcc89.pdf"], "doi": []}, {"id": "b23bad5159c41b32fa07e901b1cf52fdb41450df", "title": "Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6302142", "http://doi.org/10.1109/TPAMI.2012.199", "https://www.ncbi.nlm.nih.gov/pubmed/23520257", "https://www.wikidata.org/entity/Q51241668"]}, {"id": "f1aa120fb720f6cfaab13aea4b8379275e6d40a2", "title": "InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f1aa/120fb720f6cfaab13aea4b8379275e6d40a2.pdf"], "doi": []}, {"id": "6f7ce89aa3e01045fcd7f1c1635af7a09811a1fe", "title": "A novel rank order LoG filter for interest point detection", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0000937.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6288039", "http://doi.org/10.1109/ICASSP.2012.6288039"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"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": "7fc5ab3743e6e9a2f4fe70152440e13a673e239b", "title": "Improved Face Recognition Rate Using HOG Features and SVM Classifier", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7fc5/ab3743e6e9a2f4fe70152440e13a673e239b.pdf"], "doi": []}, {"id": "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "title": "On Hair Recognition in the Wild by Machine", "year": "2014", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_AAAI2014.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2014AAAI_Roth_Liu.pdf", "https://pdfs.semanticscholar.org/8eb7/d148107a6cca99b788d70b5134583d28e9c4.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8598", "http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/download/8598/8636"]}, {"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": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"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": "404776aa18031828f3d5dbceed39907f038a47fe", "title": "Sparsely encoded local descriptor for face verification", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Sparsely%20Encoded%20Local%20Descriptor%20for%20Face%20Verification_NECO2015.pdf", "https://pdfs.semanticscholar.org/4047/76aa18031828f3d5dbceed39907f038a47fe.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2014.06.044"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "d8c62e812a03f7cefe1e5300232e2a031e3dadfb", "title": "FACE IMAGE RECOGNITION BASED ON PARTIAL FACE MATCHING USING GENETIC ALGORITHM", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d8c6/2e812a03f7cefe1e5300232e2a031e3dadfb.pdf"], "doi": []}, {"id": "fe108803ee97badfa2a4abb80f27fa86afd9aad9", "title": "Kernel discriminant transformation for image set-based face recognition", "year": "2011", "pdf": ["http://www.csie.kuas.edu.tw/~jcchen/pdf/Kernel%20discriminant%20transformation%20for%20image%20set-based%20face%20recognition.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2011.02.011"]}, {"id": "7397fc452aac26712099170431a02fd531f97cf0", "title": "An MKD-SRC Approach for Face Recognition from Partial Image", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7397/fc452aac26712099170431a02fd531f97cf0.pdf"], "doi": []}, {"id": "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "title": "Robust Kernel Representation With Statistical Local Features for Face Recognition", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/RKR-TNN.pdf", "https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471239", "http://doi.org/10.1109/TNNLS.2013.2245340", "https://www.ncbi.nlm.nih.gov/pubmed/24808472", "https://www.wikidata.org/entity/Q46195115"]}, {"id": "5322b4232b234d0b1b06463fcbc0d1e20396de4e", "title": "Runtime Network Routing for Efficient Image Classification.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30371355", "https://doi.org/10.1109/TPAMI.2018.2878258"]}, {"id": "3a9681e2e07be7b40b59c32a49a6ff4c40c962a2", "title": "Comparing treatment means : overlapping standard errors , overlapping confidence intervals , and tests of hypothesis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1c95/1714996c573b00e63878acdc48cdc4ddc183.pdf"], "doi": []}, {"id": "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "title": "Face Verification Using the LARK Representation", "year": "2011", "pdf": ["https://users.soe.ucsc.edu/~milanfar/publications/journal/TIFS_Final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5872024", "http://doi.org/10.1109/TIFS.2011.2159205"]}, {"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": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b1961dca4d37aa72a0713fd2164d70126ffc0587", "title": "Non-uniform patch based face recognition via 2D-DWT", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.imavis.2014.12.005", "http://cam.tju.edu.cn/research/downAchiev.php?id=29"]}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "9d757c0fede931b1c6ac344f67767533043cba14", "title": "Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d75/7c0fede931b1c6ac344f67767533043cba14.pdf"], "doi": []}, {"id": "e1f790bbedcba3134277f545e56946bc6ffce48d", "title": "Image Retrieval Using Attribute Enhanced Sparse Code Words", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e1f7/90bbedcba3134277f545e56946bc6ffce48d.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.pdf"], "doi": []}, {"id": "2c56e17a37c3584d128e7baf3cbea595a150f74f", "title": "Improving Face Recognition Systems Using a New Image Enhancement Technique, Hybrid Features and the Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8550634"]}, {"id": "326ccae22d5d28812adef8c88dcfb1cddc2bb4e3", "title": "A Bezier Curve Cohort Selection Strategy for Face Pair Matching", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3193044"]}, {"id": "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "title": "MOT16: A Benchmark for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00831.pdf"], "doi": []}, {"id": "cd3b713722ccb1e2ae3b050837ca296b2a2dd82a", "title": "Kernel dictionary learning based discriminant analysis", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2016.07.015"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"], "doi": []}, {"id": "78fdf2b98cf6380623b0e20b0005a452e736181e", "title": "Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/78fd/f2b98cf6380623b0e20b0005a452e736181e.pdf"], "doi": []}, {"id": "d452eaa8decb8c7a83bc716beaf8e9e74a3c2218", "title": "K-Means Clustering For Detection of Human Faces in Databases", "year": "2009", "pdf": [], "doi": []}, {"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": "2ef1b1b5ed732634e005df779fd9b21da0ffe60c", "title": "Pair of projections based on sparse consistence with applications to efficient face recognition", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.image.2017.03.012"]}, {"id": "a92c207031b0778572bf41803dba1a21076e128b", "title": "Unobtrusive Students' Engagement Analysis in Computer Science Laboratory Using Deep Learning Techniques", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8433557", "http://doi.ieeecomputersociety.org/10.1109/ICALT.2018.00110", "http://doi.org/10.1109/ICALT.2018.00110"]}, {"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": "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "title": "Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09518.pdf"], "doi": []}, {"id": "82417d8ec8ac6406f2d55774a35af2a1b3f4b66e", "title": "Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8241/7d8ec8ac6406f2d55774a35af2a1b3f4b66e.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "7bdcd85efd1e3ce14b7934ff642b76f017419751", "title": "Learning Discriminant Face Descriptor", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/Lei-DFD-PAMI-14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6531609", "http://doi.org/10.1109/TPAMI.2013.112", "https://www.ncbi.nlm.nih.gov/pubmed/24356350", "https://www.wikidata.org/entity/Q50701663"]}, {"id": "8134b052a9aedd573dd16649a611f68b48e30cb2", "title": "InverseFaceNet: Deep Monocular Inverse Face Rendering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.10956.pdf"], "doi": []}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "79033ec1b2c86034908febd444d6ed3c753e17b3", "title": "Face Recognition via Globality-Locality Preserving Projections", "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.1279.pdf"], "doi": []}, {"id": "5506a1a1e1255353fde05d9188cb2adc20553af5", "title": "Dictionary Integration Using 3D Morphable Face Models for Pose-Invariant Collaborative-Representation-Based Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.00284.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": "b49affdff167f5d170da18de3efa6fd6a50262a2", "title": "Linking Names and Faces : Seeing the Problem in Different Ways", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/b49a/ffdff167f5d170da18de3efa6fd6a50262a2.pdf"], "doi": []}, {"id": "9a3f3a8e48fb9549b5292e4c4c474f5f1d810d64", "title": "Quasi Cosine Similarity Metric Learning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9a3f/3a8e48fb9549b5292e4c4c474f5f1d810d64.pdf"], "doi": []}, {"id": "632fb05acb6f5de2506a7cbb8d47a181314bc23c", "title": "Face detection in color images using fusion of the chrominance and luminance channel decisions", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5509043"]}, {"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": "a4a0b5f08198f6d7ea2d1e81bd97fea21afe3fc3", "title": "cient Recurrent Residual Networks Improved by Feature Transfer MSc Thesis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a4a0/b5f08198f6d7ea2d1e81bd97fea21afe3fc3.pdf"], "doi": []}, {"id": "cf254aaecb3b6f0f127a8ed620c11223bd171ccc", "title": "Boosting gender recognition performance with a fuzzy inference system", "year": "2015", "pdf": ["http://www.lifl.fr/~martinej/papers/2015/danisman15boosting.pdf"], "doi": ["http://doi.org/10.1016/j.eswa.2014.11.023", "https://hal.archives-ouvertes.fr/hal-01111681/document"]}, {"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": "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": "1ce29d6b820ed4a24da27b76ffd9605d5b3b10b5", "title": "Unrestricted pose-invariant face recognition by sparse dictionary matrix", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.007"]}, {"id": "34546ef7e6148d9a1fb42cfab5f0ce11c92c760a", "title": "Robust domain adaptation image classification via sparse and low rank representation", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.09.005"]}, {"id": "13907865a97afde053d7bb7134d58a7bbc12043c", "title": "Fisher discrimination based low rank matrix recovery for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.05.001"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "8b1db0894a23c4d6535b5adf28692f795559be90", "title": "How Reliable are Your Visual Attributes ?", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8b1d/b0894a23c4d6535b5adf28692f795559be90.pdf"], "doi": []}, {"id": "90fb58eeb32f15f795030c112f5a9b1655ba3624", "title": "OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 FACE AND IRIS RECOGNITION IN A VIDEO SEQUENCE USING DBPNN AND ADAPTIVE HAMMING DISTANCE", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/90fb/58eeb32f15f795030c112f5a9b1655ba3624.pdf"], "doi": []}, {"id": "ec40df721a80c62d4a768fe29b58d86b1a07f435", "title": "Local robust sparse representation for face recognition with single sample per person", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051298"]}, {"id": "f8d434471c2850c5f1d0757d42142b655fb46ddb", "title": "A New Distance Measure for Non-Identical Data with Application to Image Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.09766.pdf"], "doi": []}, {"id": "3e687d5ace90c407186602de1a7727167461194a", "title": "Photo Tagging by Collection-Aware People Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3e68/7d5ace90c407186602de1a7727167461194a.pdf"], "doi": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.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": "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": "307a810d1bf6f747b1bd697a8a642afbd649613d", "title": "An affordable contactless security system access for restricted area", "year": "2016", "pdf": [], "doi": []}, {"id": "c84991fe3bf0635e326a05e34b11ccaf74d233dc", "title": "A parameter-free label propagation algorithm for person identification in stereo videos", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.069"]}, {"id": "ec286f61f2c530b5628596c0e82ae5b07e7396c2", "title": "A Computational Study of American Sign Language Nonmanuals", "year": "2015", "pdf": [], "doi": []}, {"id": "db68105a787d7ef60ebb5bb4cfce151d47748123", "title": "Improved RGB-D-T based face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/db68/105a787d7ef60ebb5bb4cfce151d47748123.pdf"], "doi": []}, {"id": "4686bdcee01520ed6a769943f112b2471e436208", "title": "Fast search based on generalized similarity measure", "year": "2017", "pdf": ["http://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0024-5?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0024-5", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986831"]}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461885", "http://doi.org/10.1109/TPAMI.2013.37", "https://www.ncbi.nlm.nih.gov/pubmed/23969391", "https://www.wikidata.org/entity/Q51170597"]}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.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": "9806d3dc7805dd8c9c20d7222c915fc4beee7099", "title": "Self-Stimulatory Behaviours in the Wild for Autism Diagnosis", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Rajagopalan_Dhall_Goecke_ICCV2013_DSCSI_Self-StimulatoryBehavioursInTheWildForAutismDiagnosis.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Rajagopalan_Self-Stimulatory_Behaviours_in_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755972"]}, {"id": "c610101667a93d0beed6376dc8e53cdbab6f3674", "title": "Improving Deep Representation Learning with Complex and Multimodal Data.", "year": "2015", "pdf": [], "doi": []}, {"id": "b108c2a80744fc1463f9cf30ecfff79cd5d370e5", "title": "Principal Local Binary Patterns for Face Representation and Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977492"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "056d1637fac0510146431a03d81de1cbf1147d65", "title": "UHDB11 Database for 3D-2D Face Recognition", "year": "2013", "pdf": ["http://cbl.uh.edu/pub_files/uhdb11-database-for-3d-2d-face-recognition.pdf", "http://web.mit.edu/gevang/www/papers/TodericiEvangelopoulos_UHDB11_PSIVT13/TodericiEvangelopoulos_UHDB11_PSIVT13.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-53842-1_7"]}, {"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": "33548dec33abfc66bba40ac3f9651c0605d6b537", "title": "CMML : a New Metric Learning Approach for Cross Modal Matching", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3354/8dec33abfc66bba40ac3f9651c0605d6b537.pdf"], "doi": []}, {"id": "6976326c1b8706cd93620560e46dd7d3d7c15d26", "title": "Full ranking as local descriptor for visual recognition: A comparison of distance metrics on sn", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.10.010", "https://www.wikidata.org/entity/Q56814213"]}, {"id": "6b6493551017819a3d1f12bbf922a8a8c8cc2a03", "title": "Pose Normalization for Local Appearance-Based Face Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6b64/93551017819a3d1f12bbf922a8a8c8cc2a03.pdf"], "doi": []}, {"id": "19296e129c70b332a8c0a67af8990f2f4d4f44d1", "title": "Is that you? Metric learning approaches for face identification", "year": "2009", "pdf": ["http://lear.inrialpes.fr/pubs/2009/GVS09/GVS09.pdf", "http://lear.inrialpes.fr/pubs/2009/GVS09/supplmat.pdf", "https://hal.inria.fr/inria-00439290/file/verbeek09iccv2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459197", "http://doi.org/10.1109/ICCV.2009.5459197"]}, {"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": "66d490c95ac100cedd2a0886a0a5510267e042f7", "title": "With one look: 3D face shape estimation from a single snapshot", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552934", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552934", "http://doi.org/10.1109/ICME.2016.7552934"]}, {"id": "dd3b83ce1b52203afd05b15c660ec6e19580299e", "title": "Head pose estimation using improved label distribution learning with fewer annotations", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7284-2"]}, {"id": "b0b8757e6b327180824f01514cfb81b1e2823550", "title": "Robust Feature Set Matching for Partial Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751184"]}, {"id": "0dfd713c72d1f64c74c25c68bbb2616c701a878a", "title": "Local Regularization for Multiclass Classification Facing Significant Intraclass Variations", "year": "2008", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/localreg.pdf"], "doi": ["https://doi.org/10.1007/978-3-540-88693-8_55"]}, {"id": "903cae123665d885aa82b7590db0d323630d8d88", "title": "Distance metric learning for image and webpage comparison. (Apprentissage de distance pour la comparaison d'images et de pages Web)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/903c/ae123665d885aa82b7590db0d323630d8d88.pdf"], "doi": []}, {"id": "c81ee278d27423fd16c1a114dcae486687ee27ff", "title": "Search Based Face Annotation Using Weakly Labeled Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c81e/e278d27423fd16c1a114dcae486687ee27ff.pdf"], "doi": []}, {"id": "a34d75da87525d1192bda240b7675349ee85c123", "title": "Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.04690.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": "5ec94adc9e0f282597f943ea9f4502a2a34ecfc2", "title": "Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04655.pdf"], "doi": []}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1287/bfe73e381cc8042ac0cc27868ae086e1ce3b.pdf"], "doi": []}, {"id": "2d294c58b2afb529b26c49d3c92293431f5f98d0", "title": "Maximum Margin Projection Subspace Learning for Visual Data Analysis", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/mmpp_journal.pdf", "http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/Nikitidis_2014_Maximum_TIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6879493", "http://doi.org/10.1109/TIP.2014.2348868", "https://www.ncbi.nlm.nih.gov/pubmed/25148664", "https://www.wikidata.org/entity/Q30844297"]}, {"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": "5028c0decfc8dd623c50b102424b93a8e9f2e390", "title": "REVISITING CLASSIFIER TWO-SAMPLE TESTS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5028/c0decfc8dd623c50b102424b93a8e9f2e390.pdf"], "doi": []}, {"id": "77037a22c9b8169930d74d2ce6f50f1a999c1221", "title": "Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64308/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949052", "http://doi.org/10.1109/TIP.2017.2716180", "https://www.ncbi.nlm.nih.gov/pubmed/28641251", "https://www.wikidata.org/entity/Q38713616"]}, {"id": "2c48683c9663ea82fcbbd5891d892a884f1a32d0", "title": "Explore semantic pixel sets based local patterns with information entropy for face recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2c48/683c9663ea82fcbbd5891d892a884f1a32d0.pdf"], "doi": []}, {"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": "89272b78b651038ff4d294b9ccca0018d2c9033b", "title": "Low Computation Face Verification Using Class Center Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977490", "http://doi.org/10.1109/ICPR.2014.777"]}, {"id": "86915632efd021e1dca42f16df36944d08de2fbe", "title": "Face Recognition with Image Misalignment via Structure Constraint Coding", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop16/pdffiles/w16-p8.pdf", "http://vipl.ict.ac.cn/homepage/accv14his/pdffiles/w16-p8.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16634-6_41"]}, {"id": "789a781eec0cf28d4294c270bbd72f3a21e41dba", "title": "A New Implementation of Deep Neural Networks for Optical Character Recognition and Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/789a/781eec0cf28d4294c270bbd72f3a21e41dba.pdf"], "doi": []}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"], "doi": []}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "6b35b15ceba2f26cf949f23347ec95bbbf7bed64", "title": "RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor", "year": "2015", "pdf": ["http://lhncbc.nlm.nih.gov/system/files/pub9220.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.06.010", "https://www.wikidata.org/entity/Q58218947"]}, {"id": "0709bf7179cf2478d0aa5c05633dc86ff3645e31", "title": "An Efficient Face Recognition and Retrieval Using LBP and SIFT", "year": "2013", "pdf": [], "doi": []}, {"id": "a937d8d4a25709d1572192fc85c3f12759067ce8", "title": "CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06155.pdf"], "doi": []}, {"id": "2e64682caf77309db573ee439d988233f71e88ad", "title": "Establishing Good Benchmarks and Baselines for Face Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/2e64/682caf77309db573ee439d988233f71e88ad.pdf"], "doi": []}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "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": "1c46a33da36d47356cd9189a41c55ac9f5d34847", "title": "An Study on Ear Detection and Its Applications to Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1c46/a33da36d47356cd9189a41c55ac9f5d34847.pdf"], "doi": []}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2030875"]}, {"id": "f1d880b7752a5b1c06153a4ff75d31220b0313f7", "title": "Positive and negative label propagation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f1d8/80b7752a5b1c06153a4ff75d31220b0313f7.pdf"], "doi": []}, {"id": "768f6a14a7903099729872e0db231ea814eb05e9", "title": "De-Mark GAN: Removing Dense Watermark with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411205", "http://doi.org/10.1109/ICB2018.2018.00021"]}, {"id": "b1290dff343ae4980e3e853055ad9a5b9116238b", "title": "Gender Classification Based on Fusion of Different Spatial Scale Features Selected by Mutual Information From Histogram of LBP, Intensity, and Shape", "year": "2013", "pdf": ["http://www.cec.uchile.cl/~clperez/papers/Gender%20Classification%20Based%20on%20Fusion%20of%20Different%20Spatial%20Scale%20Features%20Selected%20by%20Mutual%20Information%20From%20Histogram%20of%20LBP,%20Intensity,%20and%20Shape%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418022", "http://doi.org/10.1109/TIFS.2013.2242063"]}, {"id": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.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": "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": "108b2581e07c6b7ca235717c749d45a1fa15bb24", "title": "Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose", "year": "2009", "pdf": ["http://www.cs.umd.edu/~carlos/pami09.pdf", "http://www.cs.umd.edu/~djacobs/pubs_files/TPAMI_Proofs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5010439", "http://doi.org/10.1109/TPAMI.2009.123", "https://www.ncbi.nlm.nih.gov/pubmed/19834149", "https://www.wikidata.org/entity/Q44088711"]}, {"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": "0c069a870367b54dd06d0da63b1e3a900a257298", "title": "Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs", "year": "2011", "pdf": ["https://arxiv.org/pdf/1107.3823.pdf"], "doi": []}, {"id": "7d0cb85f9f63afc23ce42b92337b12ef91fc091e", "title": "Discriminative transfer learning for single-sample face recognition", "year": "2015", "pdf": ["http://hujunlin.cn/papers/DTL_ICB15.pdf", "https://pdfs.semanticscholar.org/7d0c/b85f9f63afc23ce42b92337b12ef91fc091e.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139095", "http://doi.org/10.1109/ICB.2015.7139095"]}, {"id": "256ef291cd320d39163d3b438010256a3c40c40c", "title": "Multi-feature multi-manifold learning for single-sample face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.06.012"]}, {"id": "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "title": "Describable Visual Attributes for Face Verification and Image Search", "year": "2011", "pdf": ["http://acberg.com/papers/berg_face_attributes_pami.pdf", "http://acberg.com/papers/faceattrs_pami_submission_1.pdf", "http://neerajkumar.org/publications/base/papers/nk_pami2011_faceattrs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"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": "dfa53c8a4d66ab6219d6f00219ca7ed3909832fd", "title": "Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02733.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": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.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": "585efe3c8efd1a4fa2ed8221c278997521668bc1", "title": "Recognizing Face Images with Disguise Variations", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/c10c/ad9353c366e81518fff06350242b7e16f970.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": "7804949c133d7308d828a94a7944d47c1f0ffe67", "title": "Detection of Deep Network Generated Images Using Disparities in Color Components", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07276.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": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247976", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247976", "http://doi.org/10.1109/CVPR.2012.6247976"]}, {"id": "3e18b439a6fff09a0e4c245eb1298531cc766a72", "title": "Semi-automatic Face Image Finding Method , Which Uses the 3 D Model of the Head for Recognising an Unknown Face", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e18/b439a6fff09a0e4c245eb1298531cc766a72.pdf"], "doi": []}, {"id": "3b2697d76f035304bfeb57f6a682224c87645065", "title": "ImageNet Large Scale Visual Recognition Challenge", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.0575.pdf"], "doi": []}, {"id": "b40290a694075868e0daef77303f2c4ca1c43269", "title": "Combining Local and Global Information for Hair Shape Modeling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b402/90a694075868e0daef77303f2c4ca1c43269.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": "55a158f4e7c38fe281d06ae45eb456e05516af50", "title": "Simile Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"], "doi": []}, {"id": "6e3a181bf388dd503c83dc324561701b19d37df1", "title": "Finding a low-rank basis in a matrix subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.08601.pdf"], "doi": []}, {"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": "e4df98e4b45a598661a47a0a8900065716dafd6d", "title": "Weakly Supervised Object Class Learning Via Discriminative Subspace Models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7396808", "http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2015.219", "http://doi.org/10.1109/WI-IAT.2015.219"]}, {"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": "5e6ba16cddd1797853d8898de52c1f1f44a73279", "title": "Face Identification with Second-Order Pooling", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6818.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": "c0230b49a8576aa83805bcdf5efcafb38efd8482", "title": "Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29993977", "https://doi.org/10.1109/TPAMI.2018.2824309"]}, {"id": "6a69e245fc5d615a849518d6f6ef320b46545672", "title": "Online learning in biometrics: A case study in face classifier update", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5339071"]}, {"id": "9854145f2f64d52aac23c0301f4bb6657e32e562", "title": "An Improved Face Verification Approach Based on Speedup Robust Features and Pairwise Matching", "year": "2013", "pdf": ["http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/technical/114953_2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656208", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.57", "http://doi.org/10.1109/SIBGRAPI.2013.57"]}, {"id": "d340a135a55ecf7506010e153d5f23155dcfa7e8", "title": "MAVI: An Embedded Device to Assist Mobility of Visually Impaired", "year": "2017", "pdf": ["http://www.cse.iitd.ernet.in/~chetan/papers/mavi-vlsid2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7884781", "http://doi.ieeecomputersociety.org/10.1109/VLSID.2017.38", "http://doi.org/10.1109/VLSID.2017.38"]}, {"id": "9d839dfc9b6a274e7c193039dfa7166d3c07040b", "title": "Augmented faces", "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00869.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130218", "http://cgit.nutn.edu.tw:8080/cgit/PaperDL/LZJ_120522184630.PDF", "http://doi.org/10.1109/ICCVW.2011.6130218"]}, {"id": "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "title": "Implementation of Partial Face Recognition using Directional Binary Code", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a6c/3c37c2e62b21ebc0f3533686dde4d0103b3f.pdf"], "doi": []}, {"id": "a38808d5295350132d0e0b3031837310511f1e1d", "title": "Separable Dictionary Learning", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618907"]}, {"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": "dd600e7d6e4443ebe87ab864d62e2f4316431293", "title": "Improving facial expression analysis using histograms of Log-Transformed Nonnegative Sparse Representation with a Spatial Pyramid Structure", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553774.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553774", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553774", "http://doi.org/10.1109/FG.2013.6553774"]}, {"id": "66886997988358847615375ba7d6e9eb0f1bb27f", "title": "Prototype-Based Discriminative Feature Learning for Kinship Verification", "year": "2015", "pdf": ["http://www.kinfacew.com/papers/PDFL_TCYB15.pdf", "https://pdfs.semanticscholar.org/6688/6997988358847615375ba7d6e9eb0f1bb27f.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981937", "http://doi.org/10.1109/TCYB.2014.2376934", "https://www.ncbi.nlm.nih.gov/pubmed/25532145", "https://www.wikidata.org/entity/Q50612520"]}, {"id": "dbe255d3d2a5d960daaaba71cb0da292e0af36a7", "title": "Evolutionary Cost-Sensitive Extreme Learning Machine", "year": "2017", "pdf": ["https://arxiv.org/pdf/1505.04373.pdf"], "doi": []}, {"id": "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "title": "Joint Estimation of Pose and Face Landmark", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8ba/5cddae817c30de79a804eaf16024610c1e4f.pdf"], "doi": []}, {"id": "439ec47725ae4a3660e509d32828599a495559bf", "title": "Facial Expressions Tracking and Recognition : Database Protocols for Systems Validation and Evaluation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/439e/c47725ae4a3660e509d32828599a495559bf.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"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": "191674c64f89c1b5cba19732869aa48c38698c84", "title": "FACE IMAGE RETRIEVAL USING ATTRIBUTE-ENHANCED SPARSE CODEWORDS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1916/74c64f89c1b5cba19732869aa48c38698c84.pdf"], "doi": []}, {"id": "6b8329730b2e13178a577b878631735a1cd58a71", "title": "A Real-Time Big Data Architecture for Glasses Detection Using Computer Vision Techniques", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7300872", "http://doi.ieeecomputersociety.org/10.1109/FiCloud.2015.78", "http://doi.org/10.1109/FiCloud.2015.78"]}, {"id": "e3a3a6c1f4802ea1cd0c34d0b34e4c83689895ac", "title": "An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition", "year": "2013", "pdf": ["https://arxiv.org/pdf/1603.07800.pdf"], "doi": []}, {"id": "48d67280368d7efdc3893d286290a85a00070918", "title": "A comparison of PCA , KPCA and ICA for dimentionality reduction", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/48d6/7280368d7efdc3893d286290a85a00070918.pdf"], "doi": []}, {"id": "0ee661a1b6bbfadb5a482ec643573de53a9adf5e", "title": "On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition", "year": "2014", "pdf": ["http://epubs.surrey.ac.uk/812523/1/yunlian_TIFS2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918523", "http://doi.org/10.1109/TIFS.2014.2362007"]}, {"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": "2f13dd8c82f8efb25057de1517746373e05b04c4", "title": "Evaluation of state-of-the-art algorithms for remote face recognition", "year": "2010", "pdf": ["http://www.cfar.umd.edu/~rama/Publications/Ni_ICIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5652608", "http://doi.org/10.1109/ICIP.2010.5652608"]}, {"id": "c1178a5e02338270c18d3a80e40e3d03c165586b", "title": "Grassmann Learning for Recognition and Classification", "year": "2014", "pdf": [], "doi": []}, {"id": "87e5b4d95f95a0975e855cf5ad402db7a3c64ff5", "title": "Local Novelty Detection in Multi-class Recognition Problems", "year": "2015", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Bodesheim15:LND", "http://www.researchgate.net/profile/Paul_Bodesheim/publication/269314560_Local_Novelty_Detection_in_Multi-class_Recognition_Problems/links/5486c2420cf289302e2c35eb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045967", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.113", "http://doi.org/10.1109/WACV.2015.113"]}, {"id": "4d0ef449de476631a8d107c8ec225628a67c87f9", "title": "Face system evaluation toolkit: Recognition is harder than it seems", "year": "2010", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2010b_photohead.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634517", "http://doi.org/10.1109/BTAS.2010.5634517"]}, {"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": "c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d", "title": "Modeling for part-based visual object detection based on local features", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c8db/8764f9d8f5d44e739bbcb663fbfc0a40fb3d.pdf"], "doi": []}, {"id": "39b4b48aeb1deca67390718735511f2fb5d71c5e", "title": "Stereo Matching for Unconstrained Face Recognition Ph.D. Proposal", "year": "2009", "pdf": [], "doi": []}, {"id": "cc4dead2a6dde99c477bd52000bfcfe9589e7425", "title": "Design and analysis of a new illumination invariant human face recognition system", "year": "2012", "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": "1d3733e1a4b9d3e5b95fb7cc135a0819cba90c22", "title": "Linear subspace methods in face recognition", "year": "2011", "pdf": ["http://eprints.nottingham.ac.uk/12330/1/thesis_final.pdf"], "doi": ["http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548966"]}, {"id": "ac12a36330248eaddadd3e6e75b909e023c7674a", "title": "Towards generic image classification using tree-based learning: An extensive empirical study", "year": "2016", "pdf": ["https://orbi.uliege.be/bitstream/2268/191267/1/maree-prletters2016_accepted.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2016.01.006"]}, {"id": "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "title": "Semantic Deep Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/988d/1295ec32ce41d06e7cf928f14a3ee079a11e.pdf"], "doi": []}, {"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": "57b8e6db0002660f03c4d93174a05a6d525fa755", "title": "Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575381"]}, {"id": "1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d", "title": "The Freiburg Groceries Dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05799.pdf"], "doi": []}, {"id": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.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": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "7a2f315c4ac99091724aa7d3f22f0128a35228dc", "title": "Speeding up and augmenting mobile device applications using actors and cloud computing", "year": "2014", "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": "4af89578ac237278be310f7660a408b03f12d603", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"], "doi": []}, {"id": "26727dc7347e3338d22e8cf6092e3a3c7568d763", "title": "Discriminative low-rank metric learning for face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163088", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163088", "http://doi.org/10.1109/FG.2015.7163088"]}, {"id": "24977d59a5de4eb597347bef00f0c097a641a8dd", "title": "Random projection-based partial feature extraction for robust face recognition", "year": "2015", "pdf": ["http://matlabproject.ir/forms/files/836464.pdf", "https://pdfs.semanticscholar.org/2497/7d59a5de4eb597347bef00f0c097a641a8dd.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.004"]}, {"id": "4df34e0194faa27078832cb5078a2af6c9d0ea9b", "title": "Saliency Prediction in the Deep Learning Era: An Empirical Investigation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03716.pdf"], "doi": []}, {"id": "9d29ad7576f5ba1622aea3ec3eb14d869015a73f", "title": "An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition", "year": "2014", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/icpr2014.pdf", "https://users.aalto.fi/~kannalj1/publications/icpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977478", "http://doi.org/10.1109/ICPR.2014.765"]}, {"id": "3965d61c4f3b72044f43609c808f8760af8781a2", "title": "Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01121.pdf"], "doi": []}, {"id": "b5c30099791a909b87c736bfc269b347544a859c", "title": "Recognizing Surgically Altered Face Images", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b5c3/0099791a909b87c736bfc269b347544a859c.pdf"], "doi": []}, {"id": "5e5e11e143140cc376db466d5b096a54b900c2ba", "title": "Face Recognition in Uncontrolled Environment", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5e5e/11e143140cc376db466d5b096a54b900c2ba.pdf"], "doi": []}, {"id": "244d6cd74b690a5989b19f3eb0e8bbdfc48b11e3", "title": "Shared representation learning for heterogenous face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163093"]}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"], "doi": []}, {"id": "21e828071249d25e2edaca0596e27dcd63237346", "title": "Scalable Face Image Retrieval with Identity-Based Quantization and Multireference Reranking", "year": "2010", "pdf": ["http://research.microsoft.com/en-us/um/people/jiansun/papers/cvpr10_facesearch.pdf", "http://research.microsoft.com/pubs/155719/face-pami.pdf", "http://www.jiansun.org/papers/CVPR10_FaceSearch.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2010/06/cvpr2010.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2011/10/face-pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871641", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.111", "http://doi.org/10.1109/TPAMI.2011.111", "https://www.ncbi.nlm.nih.gov/pubmed/21646678"]}, {"id": "7aa062c6c90dba866273f5edd413075b90077b51", "title": "Minimizing Separability : A Comparative Analysis of Illumination Compensation Techniques in Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7aa0/62c6c90dba866273f5edd413075b90077b51.pdf"], "doi": []}, {"id": "a03cfd5c0059825c87d51f5dbf12f8a76fe9ff60", "title": "Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning", "year": "2008", "pdf": [], "doi": []}, {"id": "845f45f8412905137bf4e46a0d434f5856cd3aec", "title": "The Spyware Used in Intimate Partner Violence", "year": "2018", "pdf": ["https://rist.tech.cornell.edu/papers/spyware.pdf", "https://www.cs.cornell.edu/~rahul/papers/IPV_Spyware.pdf", "https://www.cs.cornell.edu/~rahul/ppts/IPV_spyware.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418618", "http://doi.ieeecomputersociety.org/10.1109/SP.2018.00061", "http://doi.org/10.1109/SP.2018.00061"]}, {"id": "9649a19b49607459cef32f43db4f6e6727080bdb", "title": "Offset Neural Network for Document Orientation Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395207", "http://doi.ieeecomputersociety.org/10.1109/DAS.2018.12", "http://doi.org/10.1109/DAS.2018.12"]}, {"id": "e1cc833f301c42579392f21335b70d0216b03ab4", "title": "Robust local features for remote face recognition", "year": "2017", "pdf": ["http://www.ee.oulu.fi/~jiechen/paper/IVC2017-Robust%20Local%20Features%20for%20Remote%20Face%20Recognition.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.05.006"]}, {"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": "8166edc1352eeef54f6d861b93673c36d67927e8", "title": "Recognizing People in Motion", "year": "2016", "pdf": ["http://egozi.tau.ac.il/gylab/wp-content/uploads/2016/05/1-s2.0-S1364661316000462-main-3.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1364661316000462?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.tics.2016.02.005", "https://www.ncbi.nlm.nih.gov/pubmed/27016844"]}, {"id": "9b2c813a94cee031325b3e76e20db7072063549f", "title": "A scalable and flexible framework for smart video surveillance", "year": "2016", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2016/11/paper_2016_CVIU.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.10.014"]}, {"id": "cce261b47bbeec42cf4036e89e2413e25f66ce61", "title": "Gender recognition from facial images : 2 D or 3 D ?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cce2/61b47bbeec42cf4036e89e2413e25f66ce61.pdf"], "doi": []}, {"id": "5f5164cf998a10d2bef37741adb562ab07fac413", "title": "A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs", "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/wuHWWTtpami16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7439821", "http://doi.org/10.1109/TPAMI.2016.2545669", "https://www.ncbi.nlm.nih.gov/pubmed/28113278", "https://www.wikidata.org/entity/Q39005289"]}, {"id": "d3b38fbaee4404e31186d9db98ecac74f48a433a", "title": "Batch image alignment via subspace recovery based on alternative sparsity pursuit", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s41095-017-0080-x"]}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.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": "c697590ddd71232174072c9680adbc7a0b30c84c", "title": "Face retrieval using frequency decoded local descriptor", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.06508.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "5ce80b41443518a14d800f6b93b4057bbb007432", "title": "Benchmarking Intelligence Processors", "year": "2017", "pdf": [], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "634541661d976c4b82d590ef6d1f3457d2857b19", "title": "Advanced Techniques for Face Recognition under Challenging Environments", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6345/41661d976c4b82d590ef6d1f3457d2857b19.pdf"], "doi": []}, {"id": "656a5d4d84c450792402b3c69eecbdbca4cad4cb", "title": "2.1. Imagenet and Related Datasets", "year": "", "pdf": ["https://pdfs.semanticscholar.org/656a/5d4d84c450792402b3c69eecbdbca4cad4cb.pdf"], "doi": []}, {"id": "97eabf253570f1fda79a0e217a7bbdb5aec871da", "title": "Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10895.pdf"], "doi": []}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "e0eb1d66f244456063409264ed795d9893565011", "title": "Inhibited Softmax for Uncertainty Estimation in Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.01861.pdf"], "doi": []}, {"id": "9b000ccc04a2605f6aab867097ebf7001a52b459", "title": "PCANet: An energy perspective", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.00944.pdf"], "doi": []}, {"id": "155205b8e288fd49bf203135871d66de879c8c04", "title": "Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02640.pdf"], "doi": []}, {"id": "cd66a1d08db3d56c91156797659b96dce8aa015f", "title": "Adaptive Locality Preserving Regression", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.00563.pdf"], "doi": []}, {"id": "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "title": "Automated Face Recognition: Challenges and Solutions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a24/31e3b35a4a4794dc38ef16e9eec2996114a1.pdf"], "doi": []}, {"id": "fb228b214e28af26f77cc1195d03c9d851b78ec6", "title": "Facial asymmetry versus facial makeup", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301753"]}, {"id": "532200db4f95055a47e16c2e2095edf063f42d6f", "title": "Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07339.pdf"], "doi": []}, {"id": "8377ac1b2dffb11cf48f456be2531c95d14aa6e5", "title": "Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11674.pdf"], "doi": []}, {"id": "a089812eefb777ac6d17cf886a0bf2b1f89ba505", "title": "DEVELOPMENT OF A COMPUTER SYSTEM FOR IDENTITY AUTHENTICATION USING ARTIFICIAL NEURAL NETWORKS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a089/812eefb777ac6d17cf886a0bf2b1f89ba505.pdf"], "doi": []}, {"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": "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": "e49372992c31412f55579397e615610748b6e6c9", "title": "Online Robust Image Alignment via Subspace Learning from Gradient Orientations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Online_Robust_Image_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Zheng_Online_Robust_Image_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237457", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.195", "http://doi.org/10.1109/ICCV.2017.195"]}, {"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": "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": "b5d14fee9658877abbbfa760dd9765db0af86ba6", "title": "Swarm intelligence and evolutionary computation approaches for 2 D face recognition : a systematic review", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b5d1/4fee9658877abbbfa760dd9765db0af86ba6.pdf"], "doi": []}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "d487142a7b8c84cb47129d91d5837345ccaa88eb", "title": "Face recognition using extended LBP features and multilevel SVM classifier", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8284596"]}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"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": "5f62cad6d777d1b621af07c4146e615f7ebacc7d", "title": "Analysis of Keystroke Dynamics for the Generation of Synthetic Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8590063"]}, {"id": "f16d6152e23b032f59eb794fac2d272daa859a79", "title": "A Face Recognition System Based on Local Binary Patterns and Support Vector Machine for Home Security Service Robot", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830848"]}, {"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": "0d5c01814f64f3be401efa4f6495d2677c16a8d8", "title": "Building an intelligent video and image analysis evaluation platform for public security", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078472", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078472", "http://doi.org/10.1109/AVSS.2017.8078472"]}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "05db8e3a342f8f239203c24d496e809a65ca7f73", "title": "Learning Diverse Image Colorization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01958.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": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.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": "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": "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": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"], "doi": []}, {"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": "5e3eacfae3009616456e7c038597eaa50ad049ca", "title": "Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea3/e84ab58ef37dc506ca4ef8b25edb4b170efd.pdf"], "doi": []}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274747", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2481396", "http://doi.org/10.1109/TPAMI.2015.2481396", "https://www.ncbi.nlm.nih.gov/pubmed/26415152"]}, {"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": "02601d184d79742c7cd0c0ed80e846d95def052e", "title": "Graphical Representation for Heterogeneous Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.00488.pdf"], "doi": []}, {"id": "0e5dad0fe99aed6978c6c6c95dc49c6dca601e6a", "title": "LATCH: Learned arrangements of three patch codes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1501.03719.pdf"], "doi": []}, {"id": "46c3b9386d63b483dc113592f587b74168d30eea", "title": "Manifesto from Dagstuhl Perspectives Workshop 12382 Computation and Palaeography : Potentials and Limits \u2217", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/46c3/b9386d63b483dc113592f587b74168d30eea.pdf"], "doi": []}, {"id": "b747fcad32484dfbe29530a15776d0df5688a7db", "title": "Background suppressing Gabor energy filtering", "year": "2015", "pdf": ["http://www.cs.csub.edu/~acruz/papers/10.1016-j.patrec.2014.10.001.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.10.001"]}, {"id": "205b34b6035aa7b23d89f1aed2850b1d3780de35", "title": "Log-domain polynomial filters for illumination-robust face recognition", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p504-jiang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853647", "http://doi.org/10.1109/ICASSP.2014.6853647"]}, {"id": "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "title": "Reference Face Graph for Face Recognition", "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/ReferenceFaceGraphforFaceRecognition14.pdf", "http://www.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://www.ee.ucr.edu/~lan/papers/AnTIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905824", "http://doi.org/10.1109/TIFS.2014.2359548"]}, {"id": "5d2a9519b5d421a58dbb02b0b836f04ab396525d", "title": "Uncorrelated regularized local Fisher discriminant analysis for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.23.4.043017"]}, {"id": "7918698ffa86cdd6123bc2f1f613be1ab38c0d2f", "title": "Learning to Recognize Faces in Realistic Conditions", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7918/698ffa86cdd6123bc2f1f613be1ab38c0d2f.pdf"], "doi": []}, {"id": "d78077a7aa8a302d4a6a09fb9737ab489ae169a6", "title": "Robust Face Recognition with Structural Binary Gradient Patterns", "year": "2017", "pdf": ["https://arxiv.org/pdf/1506.00481.pdf"], "doi": []}, {"id": "46976097c54e86032932d559c8eb82ffea4bb6bb", "title": "Facial emotion recognition with anisotropic inhibited Gabor energy histograms", "year": "2013", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/FACIAL%20EMOTION%20RECOGNITION%20WITH13.pdf", "http://www.cris.ucr.edu/IGERT/Presentation2013/CruzAbstract.pdf", "http://www.cris.ucr.edu/IGERT/Presentation2013/FACIAL%20EMOTION%20RECOGNITION.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738868", "http://doi.org/10.1109/ICIP.2013.6738868"]}, {"id": "83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6", "title": "A multi-perspective holistic approach to Kinship Verification in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284834", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284834", "http://doi.org/10.1109/FG.2015.7284834"]}, {"id": "28b5b5f20ad584e560cd9fb4d81b0a22279b2e7b", "title": "A New Fuzzy Stacked Generalization Technique and Analysis of its Performance", "year": "2012", "pdf": ["https://arxiv.org/pdf/1204.0171.pdf"], "doi": []}, {"id": "a14ae81609d09fed217aa12a4df9466553db4859", "title": "Face Identification Using Large Feature Sets", "year": "2012", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2011_TIP.pdf", "http://www.umiacs.umd.edu/~jhchoi/paper/tip12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6086621", "http://doi.org/10.1109/TIP.2011.2176951", "https://www.ncbi.nlm.nih.gov/pubmed/22128005", "https://www.wikidata.org/entity/Q34086406"]}, {"id": "430c4d7ad76e51d83bbd7ec9d3f856043f054915", "title": "Two decades of local binary patterns: A survey", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06795.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": "a324d61c79fe2e240e080f0dab358aa72dd002b3", "title": "Adaptive noise dictionary construction via IRRPCA for face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.02.005"]}, {"id": "a8e75978a5335fd3deb04572bb6ca43dbfad4738", "title": "Sparse graphical representation based discriminant analysis for heterogeneous face recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1607.00137.pdf"], "doi": []}, {"id": "0fc4d0c328036cc197a48f278f7c15cb12860f3a", "title": "Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0011"]}, {"id": "942b89d8d17e89e58c82453de2bfcbbeb09adc81", "title": "Semi-supervised linear discriminant analysis for dimension reduction and classification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.02.019"]}, {"id": "81831ed8e5b304e9d28d2d8524d952b12b4cbf55", "title": "Discriminative histograms of local dominant orientation (D-HLDO) for biometric image feature extraction", "year": "2013", "pdf": ["http://www.ai.rug.nl/~sheng/subsection/hldo.pdf", "https://pdfs.semanticscholar.org/8183/1ed8e5b304e9d28d2d8524d952b12b4cbf55.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.03.005"]}, {"id": "1a9337d70a87d0e30966ecd1d7a9b0bbc7be161f", "title": "A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Tapabrata_Chakraborti/publication/262340257_A_novel_binary_adaptive_weight_GSA_based_feature_selection_for_face_recognition_using_local_gradient_patterns_modified_census_transform_and_local_binary_patterns/links/54bf8c600cf2f6bf4e04fab5.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2014.04.006"]}, {"id": "98a660c15c821ea6d49a61c5061cd88e26c18c65", "title": "Face Databases for 2 D and 3 D Facial Recognition : A Survey", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/98a6/60c15c821ea6d49a61c5061cd88e26c18c65.pdf"], "doi": []}, {"id": "34a41ec648d082270697b9ee264f0baf4ffb5c8d", "title": "Integration of multi-feature fusion and dictionary learning for face recognition", "year": "2013", "pdf": ["http://www.cs.zju.edu.cn/people/wangdh/papers/IVC.pdf?doi=10.1016/j.imavis.2013.10.002&domain=f"], "doi": ["http://doi.org/10.1016/j.imavis.2013.10.002"]}, {"id": "bcd4e549928260d247f3ca67659a65ffcd429e98", "title": "On using Additional Unlabeled Data for Improving Dissimilarity-Based Classifications", "year": "2013", "pdf": [], "doi": []}, {"id": "395a91d49e9283e1bf2d61a75c3dc846b347ea74", "title": "On-Demand Virtual Health Counselor for Delivering Behavior-Change Health Interventions", "year": "2013", "pdf": ["http://cake.fiu.edu/Publications/Reza+al-13-OV.On-demand_Virtual_Health.IEEE.downloaded.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6680460", "http://doi.ieeecomputersociety.org/10.1109/ICHI.2013.13", "http://doi.org/10.1109/ICHI.2013.13"]}, {"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": "fd649233d62bf43d589818fbb41295e2d0669aeb", "title": "An Improved Crack Detection Algorithm Based on Characteristics of Texture Analysis and Gravity Model", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048157"]}, {"id": "4e21fb066ea5eee04f3e2090bb4348344ae980a2", "title": "Face Recognition using Features Combination and a New Non-linear Kernel Essam", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0447/0861408d14cc860f24e73d93b3bb476492d0.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": "d8288322f32ee4501cef5a9b667e5bb79ebd7018", "title": "Facing scalability: Naming faces in an online social network", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2011.12.018"]}, {"id": "fec295c6b6a1795d8ccb4592603040794667dfa7", "title": "LDOP: Local Directional Order Pattern for Robust Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07441.pdf"], "doi": []}, {"id": "17cf838720f7892dbe567129dcf3f7a982e0b56e", "title": "Global-Local Face Upsampling Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07235.pdf"], "doi": []}, {"id": "176d9121e4e645344de4706dfb345ad456bfb84a", "title": "Efficient algorithm for sparse coding and dictionary learning with applications to face recognition", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.24.2.023009"]}, {"id": "ae8240095c9cca2c395f173fece2f46277b94929", "title": "Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.06.045"]}, {"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": "61084a25ebe736e8f6d7a6e53b2c20d9723c4608", "title": "Face recognition for web-scale datasets", "year": "2014", "pdf": ["http://briancbecker.com/files/downloads/publications/Ortiz_CVIU13.pdf", "http://crcv-web.eecs.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://crcv.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://www.enriquegortiz.com/publications/OrtizBecker_Webscale_CVIU.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2013.09.004"]}, {"id": "3a2fc58222870d8bed62442c00341e8c0a39ec87", "title": "Probabilistic Local Variation Segmentation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3a2f/c58222870d8bed62442c00341e8c0a39ec87.pdf"], "doi": []}, {"id": "9c0fd1134aa730c876c4020fc4e54f6e7162109a", "title": "Unconstrained face identification with multi-scale block-based correlation", "year": "2016", "pdf": [], "doi": []}, {"id": "75e5ba7621935b57b2be7bf4a10cad66a9c445b9", "title": "Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning", "year": "2014", "pdf": ["http://www.pris.net.cn/wp-content/uploads/2010/11/whdeng_pr4.pdf", "https://pdfs.semanticscholar.org/75e5/ba7621935b57b2be7bf4a10cad66a9c445b9.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.06.020"]}, {"id": "1063be2ad265751fb958b396ee26167fa0e844d2", "title": "A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369056", "http://doi.org/10.1109/ACCESS.2018.2842078"]}, {"id": "62e0380a86e92709fe2c64e6a71ed94d152c6643", "title": "Facial emotion recognition with expression energy", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2388777"]}, {"id": "0059b3dfc7056f26de1eabaafd1ad542e34c2c2e", "title": "I Can Help You Change! An Empathic Virtual Agent Delivers Behavior Change Health Interventions", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2544103"]}, {"id": "0394e684bd0a94fc2ff09d2baef8059c2652ffb0", "title": "Median Robust Extended Local Binary Pattern for Texture Classification", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/liuLFGWPtip16.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/TIP2522378.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7393828", "http://doi.org/10.1109/ICIP.2015.7351216", "https://www.ncbi.nlm.nih.gov/pubmed/26829791"]}, {"id": "e0679f8cf0029c04a95d966f562eb0bac3145adf", "title": "Harnessing auxiliary information : New methods to improve person identification", "year": "2015", "pdf": [], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/pubfig.json b/site/datasets/unknown/pubfig.json
index 7dfbf6d3..036e8e74 100644
--- a/site/datasets/unknown/pubfig.json
+++ b/site/datasets/unknown/pubfig.json
@@ -1 +1 @@
-{"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "citations": [{"id": "55cc90968e5e6ed413dd607af2a850ac2f54e378", "title": "Active subclustering", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2014.03.008"]}, {"id": "0af48a45e723f99b712a8ce97d7826002fe4d5a5", "title": "Toward Wide-Angle Microvision Sensors", "year": "2013", "pdf": ["http://vision.seas.harvard.edu/papers/WideAngle_PAMI2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412674", "http://doi.org/10.1109/TPAMI.2013.22", "https://www.ncbi.nlm.nih.gov/pubmed/24136435", "https://www.wikidata.org/entity/Q46143127"]}, {"id": "f7de943aa75406fe5568fdbb08133ce0f9a765d4", "title": "Year 5 Deliverable Technical Report : Research Challenges in Biometrics and Indexed biography of relevant biometric research literature", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f7de/943aa75406fe5568fdbb08133ce0f9a765d4.pdf"], "doi": []}, {"id": "6b8329730b2e13178a577b878631735a1cd58a71", "title": "A Real-Time Big Data Architecture for Glasses Detection Using Computer Vision Techniques", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7300872", "http://doi.ieeecomputersociety.org/10.1109/FiCloud.2015.78", "http://doi.org/10.1109/FiCloud.2015.78"]}, {"id": "a75ee7f4c4130ef36d21582d5758f953dba03a01", "title": "Human face attributes prediction with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a75e/e7f4c4130ef36d21582d5758f953dba03a01.pdf"], "doi": []}, {"id": "8fa3478aaf8e1f94e849d7ffbd12146946badaba", "title": "Attributes for classifier feedback", "year": "2012", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=0A1B297D4CCFC00FFDCA2F5C49511979?doi=10.1.1.592.5907&rep=rep1&type=pdf", "http://courses.cs.washington.edu/courses/cse590v/13au/ParkashParikh_ECCV_2012_attributes_feedback.pdf", "http://videolectures.net/site/normal_dl/tag=725547/eccv2012_parikh_attributes_01.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_26"]}, {"id": "05b94a28a7a5eda5b87b317edb968ecf2499f614", "title": "Hyper Graph Attribute Model for Web Image Search", "year": "2016", "pdf": [], "doi": []}, {"id": "078d507703fc0ac4bf8ca758be101e75ea286c80", "title": "Large-Scale Content Based Face Image Retrieval using Attribute Enhanced Sparse", "year": "", "pdf": ["https://pdfs.semanticscholar.org/078d/507703fc0ac4bf8ca758be101e75ea286c80.pdf"], "doi": []}, {"id": "fc958c029ca92492c107a10fc982ca00a04f2a34", "title": "Survey on Supervised Method for Face Image Retrieval Based on Euclidean Distance", "year": "2014", "pdf": ["http://www.ijcat.com/archives/volume3/issue1/ijcatr03011011.pdf"], "doi": ["https://doi.org/10.7753/IJCATR0301.1011"]}, {"id": "223ec77652c268b98c298327d42aacea8f3ce23f", "title": "TR-CS-1102 Acted Facial Expressions In The Wild Database", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/223e/c77652c268b98c298327d42aacea8f3ce23f.pdf"], "doi": []}, {"id": "9d0943e5098e3a11fedc7d441a145ae1b2dac26d", "title": "Anomaly Detection via Midlevel Visual Attributes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d09/43e5098e3a11fedc7d441a145ae1b2dac26d.pdf"], "doi": []}, {"id": "bed06e7ff0b510b4a1762283640b4233de4c18e0", "title": "Face Interpretation Problems on Low Quality Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bed0/6e7ff0b510b4a1762283640b4233de4c18e0.pdf"], "doi": []}, {"id": "7f44f8a5fd48b2d70cc2f344b4d1e7095f4f1fe5", "title": "Sparse Output Coding for Scalable Visual Recognition", "year": "2015", "pdf": ["http://www.cs.cmu.edu/~epxing/papers/2015/Zhao_Xing_IJCV15.pdf"], "doi": ["http://doi.org/10.1007/s11263-015-0839-4"]}, {"id": "634541661d976c4b82d590ef6d1f3457d2857b19", "title": "Advanced Techniques for Face Recognition under Challenging Environments", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6345/41661d976c4b82d590ef6d1f3457d2857b19.pdf"], "doi": []}, {"id": "75a9d9ea6c1a5ee55fc0ccb347b263785b15ac0a", "title": "An Image Search Reranking Model based on attribute assisted hypergraph Miss", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/75a9/d9ea6c1a5ee55fc0ccb347b263785b15ac0a.pdf"], "doi": []}, {"id": "488e475eeb3bb39a145f23ede197cd3620f1d98a", "title": "Pedestrian Attribute Classification in Surveillance: Database and Evaluation", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755916"]}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.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": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.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": "8cc4a4bc7f9a989130d5ac129d24426a444fe161", "title": "Recent Advances in Zero-shot Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.04837.pdf"], "doi": []}, {"id": "fa32b29e627086d4302db4d30c07a9d11dcd6b84", "title": "Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network", "year": "2018", "pdf": ["http://www.public.asu.edu/~swang187/publications/WACV18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354123", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00019", "http://doi.org/10.1109/WACV.2018.00019"]}, {"id": "2f065b51547c671ad9267d08f9f428950849ab9f", "title": "Fetching Relevant Images and Videos in Keyword Based Search Mechanism with Hypergraph Learning and Similarity Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8494191"]}, {"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": "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "title": "Transfer learning via attributes for improved on-the-fly classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836097", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836097", "http://doi.org/10.1109/WACV.2014.6836097"]}, {"id": "2b507f659b341ed0f23106446de8e4322f4a3f7e", "title": "Deep Identity-aware Transfer of Facial Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05586.pdf"], "doi": []}, {"id": "3abc833f4d689f37cc8a28f47fb42e32deaa4b17", "title": "Large Scale Retrieval and Generation of Image Descriptions", "year": "2015", "pdf": ["http://www.cs.unc.edu/~vicente/files/ijcv_bigdata.pdf", "http://www.cs.virginia.edu/~vicente/files/ijcv_bigdata.pdf"], "doi": ["http://doi.org/10.1007/s11263-015-0840-y"]}, {"id": "2559b15f8d4a57694a0a33bdc4ac95c479a3c79a", "title": "Contextual Object Localization With Multiple Kernel Nearest Neighbor", "year": "2011", "pdf": ["http://bmcfee.github.io/papers/contextmklmnn.pdf", "http://eceweb.ucsd.edu/~gert/papers/mklmnn.pdf", "http://vision.ucsd.edu/~carolina/files/mklmnn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5556010", "http://doi.org/10.1109/TIP.2010.2068556", "https://www.ncbi.nlm.nih.gov/pubmed/20736139"]}, {"id": "bfdafe932f93b01632a5ba590627f0d41034705d", "title": "Transfer Learning for Human Action Recognition", "year": "2011", "pdf": ["http://eduardovalle.com/wordpress/wp-content/uploads/2012/05/lopes11sibgrapiTransferLearningActionRecognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6134770", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2011.41", "http://doi.org/10.1109/SIBGRAPI.2011.41"]}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373846"]}, {"id": "06f146dfcde10915d6284981b6b84b85da75acd4", "title": "Scalable Face Image Retrieval Using Attribute-Enhanced Sparse Codewords", "year": "2013", "pdf": ["http://cmlab.csie.ntu.edu.tw/~sirius42/papers/tmm12.pdf", "http://www.chennaisunday.com/IEEE%202013%20Java%20Basepaper/Scalable%20Face%20Image%20Retrieval%20using%20Attribute-Enhanced%20Sparse%20Codewords.pdf", "http://www.csie.ntu.edu.tw/~winston/papers/chen12scalable.pdf", "http://www.leonsoftsolutions.com/ieeepapers/imageprocessing/imgpro16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6419834", "http://doi.org/10.1109/TMM.2013.2242460"]}, {"id": "f663ad5467721159263c1cde261231312893f45d", "title": "UvA-DARE ( Digital Academic Repository ) Gaze Embeddings for Zero-Shot Image Classification", "year": "", "pdf": ["https://pdfs.semanticscholar.org/f663/ad5467721159263c1cde261231312893f45d.pdf"], "doi": []}, {"id": "35b3dc0e961a15a7a60b95490a989f91680acc7c", "title": "Empirical Study of Face Authentication Systems Under OSNFD Attacks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7447771", "http://doi.ieeecomputersociety.org/10.1109/TDSC.2016.2550459", "http://doi.org/10.1109/TDSC.2016.2550459"]}, {"id": "16395b40e19cbc6d5b82543039ffff2a06363845", "title": "Action Recognition in Video Using Sparse Coding and Relative Features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03222.pdf"], "doi": []}, {"id": "fec295c6b6a1795d8ccb4592603040794667dfa7", "title": "LDOP: Local Directional Order Pattern for Robust Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07441.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": "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "title": "Automated Face Recognition: Challenges and Solutions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a24/31e3b35a4a4794dc38ef16e9eec2996114a1.pdf"], "doi": []}, {"id": "eca706b4d77708452bdad1c98a23e4e88ce941ab", "title": "Multiple Continuous Virtual Paths Based Cross-View Action Recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1142/S0218001416550144"]}, {"id": "7f4bc8883c3b9872408cc391bcd294017848d0cf", "title": "The Multimodal Focused Attribute Model : A Nonparametric Bayesian Approach to Simultaneous Object Classification and Attribute Discovery", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7f4b/c8883c3b9872408cc391bcd294017848d0cf.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": "587f81ae87b42c18c565694c694439c65557d6d5", "title": "DeepFace : Face Generation using Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/587f/81ae87b42c18c565694c694439c65557d6d5.pdf"], "doi": []}, {"id": "214db8a5872f7be48cdb8876e0233efecdcb6061", "title": "Semantic-Aware Co-Indexing for Image Retrieval", "year": "2013", "pdf": ["http://users.eecs.northwestern.edu/~mya671/mypapers/ICCV13_Zhang_Yang_Wang_Lin_Tian.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhang_Semantic-Aware_Co-indexing_for_2013_ICCV_paper.pdf", "http://www.ece.northwestern.edu/~mya671/mypapers/ICCV13_Zhang_Yang_Wang_Lin_Tian.pdf", "http://www.linyq.com/ICCV13_Zhang_Yang_Wang_Lin_Tian.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7072494", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.210", "http://doi.org/10.1109/ICCV.2013.210"]}, {"id": "22a7f1aebdb57eecd64be2a1f03aef25f9b0e9a7", "title": "Attribute-restricted latent topic model for person re-identification", "year": "2012", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/person_reidentification_pr12.pdf", "https://www.ece.nus.edu.sg/stfpage/eleqiz/publications/pdf/person_reidentification_pr12.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2012.05.019"]}, {"id": "3690af0af51a067750f664c08e48b486d1cd476d", "title": "A Mixture of Two Gender Classification Experts", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6382763", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.41", "http://doi.org/10.1109/SIBGRAPI.2012.41"]}, {"id": "ef999ab2f7b37f46445a3457bf6c0f5fd7b5689d", "title": "Improving face verification in photo albums by combining facial recognition and metadata with cross-matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/001e/ad9b99ee57af44e1831be1670c40711d348d.pdf"], "doi": []}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.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": "5a93f9084e59cb9730a498ff602a8c8703e5d8a5", "title": "Face Recognition using Local Quantized Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5a93/f9084e59cb9730a498ff602a8c8703e5d8a5.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": "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": "b5747ecfa0f3be0adaad919d78763b1133c4d662", "title": "Attribute-Assisted Domain Transfer from Image to Sketch", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397022", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00066", "http://doi.org/10.1109/MIPR.2018.00066"]}, {"id": "8b1db0894a23c4d6535b5adf28692f795559be90", "title": "How Reliable are Your Visual Attributes ?", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8b1d/b0894a23c4d6535b5adf28692f795559be90.pdf"], "doi": []}, {"id": "322c063e97cd26f75191ae908f09a41c534eba90", "title": "Improving Image Classification Using Semantic Attributes", "year": "2012", "pdf": ["https://jurie.users.greyc.fr/papers/12_SEMATR_IJCV.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0529-4", "https://hal.archives-ouvertes.fr/hal-00805996/document", "https://www.wikidata.org/entity/Q50224241"]}, {"id": "3233e3a6fa5acf7939259b4e881b8e635de5cae7", "title": "Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09019.pdf"], "doi": []}, {"id": "0abfb5b89e9546f8a5c569ab35b39b888e7cea46", "title": "Toward Development of a Face Recognition System for Watchlist Surveillance", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5740925", "http://doi.org/10.1109/TPAMI.2011.68", "https://www.ncbi.nlm.nih.gov/pubmed/21422493", "https://www.wikidata.org/entity/Q48146958"]}, {"id": "a325d5ea42a0b6aeb0390318e9f65f584bd67edd", "title": "Fine-Grained Visual Comparisons with Local Learning", "year": "2014", "pdf": ["http://aronyu.io/vision/papers/cvpr14/aron-cvpr14-poster.pdf", "http://aronyu.io/vision/papers/cvpr14/aron-cvpr14.pdf", "http://www.cs.utexas.edu/~grauman/papers/yu-cvpr2014.pdf", "http://www.cs.utexas.edu/~grauman/slides/aron-cvpr14-poster.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yu_Fine-Grained_Visual_Comparisons_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909426", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.32", "http://doi.org/10.1109/CVPR.2014.32"]}, {"id": "97b8249914e6b4f8757d22da51e8347995a40637", "title": "Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos", "year": "2012", "pdf": ["http://rogerioferis.com/VisualRecognitionAndSearch2014/material/papers/FerisTransMultimedia2012.pdf", "http://rogerioferis.com/publications/FerisTransMultimedia2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6035786", "http://doi.org/10.1109/TMM.2011.2170666"]}, {"id": "ab1719f573a6c121d7d7da5053fe5f12de0182e7", "title": "Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ab17/19f573a6c121d7d7da5053fe5f12de0182e7.pdf"], "doi": []}, {"id": "aa90a466a2ff7781c36e7da7df0013aa5b117510", "title": "Image to Text Conversion: State of the Art and Extended Work", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308390", "http://doi.ieeecomputersociety.org/10.1109/AICCSA.2017.159", "http://doi.org/10.1109/AICCSA.2017.159"]}, {"id": "8910bf3a708ee31942dc1b623fcf6e7ca4438c18", "title": "RECENT PROGRESS IN ATTRIBUTES BASED LEARNING: A SURVEY", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.2316/P.2013.798-089", "http://www.actapress.com/PDFViewer.aspx?paperId=455020"]}, {"id": "c610101667a93d0beed6376dc8e53cdbab6f3674", "title": "Improving Deep Representation Learning with Complex and Multimodal Data.", "year": "2015", "pdf": [], "doi": []}, {"id": "d066575b48b552a38e63095bb1f7b56cbb1fbea4", "title": "The performance of corrected learning network for object recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359888"]}, {"id": "c175f1666f3444e407660c5935a05b2a53f346f0", "title": "Modifying the Memorability of Face", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c175/f1666f3444e407660c5935a05b2a53f346f0.pdf"], "doi": []}, {"id": "2ffcd35d9b8867a42be23978079f5f24be8d3e35", "title": "Satellite based Image Processing using Data mining", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2ffc/d35d9b8867a42be23978079f5f24be8d3e35.pdf"], "doi": []}, {"id": "9b1a70d6771547cbcf6ba646f8775614c0162aca", "title": "Combining feature extraction and expansion to improve classification based similarity learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2016.11.005", "https://www.wikidata.org/entity/Q57608462"]}, {"id": "bf665daa2efc8ea41fd4b254921dac6cee11ffa6", "title": "Attribute Recognition by Joint Recurrent Learning of Context and Correlation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237327"]}, {"id": "a6583c8daa7927eedb3e892a60fc88bdfe89a486", "title": "Toward semantic attributes in dictionary learning and non-negative matrix factorization", "year": "2016", "pdf": ["http://mediatum.ub.tum.de/doc/1315864/359237.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2016.06.020"]}, {"id": "c5fe40875358a286594b77fa23285fcfb7bda68e", "title": "Face identification using reference-based features with message passing model", "year": "2013", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2012.pdf", "http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf", "https://cis.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2012.06.032"]}, {"id": "1d7ecdcb63b20efb68bcc6fd99b1c24aa6508de9", "title": "The Hidden Sides of Names\u2014Face Modeling with First Name Attributes", "year": "2014", "pdf": ["http://web.stanford.edu/~bgirod/pdfs/ChenHuizhongTransPAMISep2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722940", "http://doi.org/10.1109/TPAMI.2014.2302443", "https://www.ncbi.nlm.nih.gov/pubmed/26352237", "https://www.wikidata.org/entity/Q40559758"]}, {"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": "da928ac611e4e14e454e0b69dfbf697f7a09fb38", "title": "Generating reliable video annotations by exploiting the crowd", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477718", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477718", "http://doi.org/10.1109/WACV.2016.7477718"]}, {"id": "cac8bb0e393474b9fb3b810c61efdbc2e2c25c29", "title": "Visual Segmentation of Simple Objects for Robots", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/67c5/e2ff4bc630dfbc0cabf812e5e927266f071c.pdf"], "doi": []}, {"id": "f6c70635241968a6d5fd5e03cde6907022091d64", "title": "Measuring Deformations and Illumination Changes in Images with Applications to Face Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f6c7/0635241968a6d5fd5e03cde6907022091d64.pdf"], "doi": []}, {"id": "2ebc35d196cd975e1ccbc8e98694f20d7f52faf3", "title": "Towards Wide-angle Micro Vision Sensors", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2ebc/35d196cd975e1ccbc8e98694f20d7f52faf3.pdf"], "doi": []}, {"id": "f28bec263804f3d6b95f78a91d1ba8630ad5b7a2", "title": "A system for modeling social traits in realistic faces with artificial intelligence", "year": "2018", "pdf": [], "doi": []}, {"id": "37278ffce3a0fe2c2bbf6232e805dd3f5267eba3", "title": "Can we still avoid automatic face detection?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04504.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": "83c1fee5ef4b7ba9d9730f3b550dd7bfbdaf591d", "title": "Real-Time 2.5D Facial Cartoon Animation Based on Pose and Expression Estimation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467233"]}, {"id": "98c5dc00bd21a39df1d4411641329bdd6928de8a", "title": "A scalable dual approach to semidefinite metric learning", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995447", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995447", "http://doi.org/10.1109/CVPR.2011.5995447"]}, {"id": "af97a51f56cd6b793cf96692931a8d1ddbe4e3cc", "title": "Learning Semantic Binary Codes by Encoding Attributes for Image Retrieval", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976768", "http://doi.org/10.1109/ICPR.2014.57"]}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"], "doi": []}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893", "http://doi.org/10.1109/TMM.2015.2420374"]}, {"id": "48f211a9764f2bf6d6dda4a467008eda5680837a", "title": "Predicting occupation via human clothing and contexts", "year": "2011", "pdf": ["http://www.lv-nus.org/%5C/papers/2011/iccv2011-occupation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126355", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126355", "http://doi.org/10.1109/ICCV.2011.6126355"]}, {"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": "46c82ea7aa2812e5adee6c4804d15cd5ecb96041", "title": "An affine view and illumination invariant iterative image matching approach for face recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/46c8/2ea7aa2812e5adee6c4804d15cd5ecb96041.pdf"], "doi": []}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"id": "2ef328e035b2b5501ceddc0052615d4cebac6f1f", "title": "Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes", "year": "2013", "pdf": ["http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2013-ICCV-Shankar-attrirbutes.pdf", "http://mi.eng.cam.ac.uk/~ss965/semantic_transform.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Shankar_Semantic_Transform_Weakly_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751154", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.52", "http://doi.org/10.1109/ICCV.2013.52"]}, {"id": "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "title": "Reference Face Graph for Face Recognition", "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/ReferenceFaceGraphforFaceRecognition14.pdf", "http://www.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://www.ee.ucr.edu/~lan/papers/AnTIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905824", "http://doi.org/10.1109/TIFS.2014.2359548"]}, {"id": "852ff0d410a25ebb7936043a05efe2469c699e4b", "title": "Learning local binary patterns for gender classification on real-world face images", "year": "2012", "pdf": ["http://repository.tudelft.nl/assets/uuid:678436fb-d859-4c4a-8842-f1b4bb5a0fe3/MS-32.590.pdf", "http://www.cin.ufpe.br/~cabm/visao/artigos/Learning%20local%20binary%20patterns%20for%20gender%20classification%20on%20real-world%20face%20images.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2011.05.016"]}, {"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": "185360fe1d024a3313042805ee201a75eac50131", "title": "Person De-Identification in Videos", "year": "2011", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Prachi09Person.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/htchiang/201203290935/Person%20De-Identification%20in%20Videos.pdf", "https://researchweb.iiit.ac.in/~prachi/personDeidentification.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5686920", "http://doi.org/10.1109/TCSVT.2011.2105551"]}, {"id": "28bc378a6b76142df8762cd3f80f737ca2b79208", "title": "Understanding Objects in Detail with Fine-Grained Attributes", "year": "2014", "pdf": ["http://people.cs.umass.edu/~smaji/papers/oid-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vedaldi_Understanding_Objects_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909858", "http://doi.org/10.1109/CVPR.2014.463", "https://www.wikidata.org/entity/Q58050718"]}, {"id": "a3e66902fd95b757edca4268c8a29258ae9b15cb", "title": "Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes", "year": "2015", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Yashaswi2015Exploring.pdf", "http://web2py.iiit.ac.in/research_centres/publications/download/inproceedings.pdf.9e10abf4c148e233.5961736861737769323031354578706c6f72696e672e706466.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/abstract170.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/paper170.pdf"], "doi": ["https://doi.org/10.5244/C.29.170"]}, {"id": "ac6a9f80d850b544a2cbfdde7002ad5e25c05ac6", "title": "Privacy-Protected Facial Biometric Verification Using Fuzzy Forest Learning", "year": "2016", "pdf": ["http://eprints.whiterose.ac.uk/104654/9/07289412.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7289412", "http://doi.org/10.1109/TFUZZ.2015.2486803"]}, {"id": "5615548157d0e23d60ba82af1a3b29814bc4b7c7", "title": "Face Recognition with Multi-stage Matching Algorithms", "year": "2015", "pdf": [], "doi": []}, {"id": "55a7286f014cc6b51a3f50b1e6bc8acc8166f231", "title": "Image Captioning and Visual Question Answering Based on Attributes and Their Related External Knowledge", "year": "2016", "pdf": [], "doi": []}, {"id": "8de5dc782178114d9424d33d9adabb2f29a1ab17", "title": "Driver Gaze Tracking and Eyes Off the Road Detection System", "year": "2015", "pdf": ["http://wineyard.in/Abstract/mtech/Embedded/2015/bp/15EM42.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7053946", "http://doi.org/10.1109/TITS.2015.2396031"]}, {"id": "778c9f88839eb26129427e1b8633caa4bd4d275e", "title": "Pose pooling kernels for sub-category recognition", "year": "2012", "pdf": ["http://www.cs.berkeley.edu/~nzhang/papers/cvpr12_ppk.pdf", "http://www.icsi.berkeley.edu/pubs/vision/ICSI_posepooling12.pdf", "https://people.eecs.berkeley.edu/~nzhang/papers/cvpr12_ppk.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248364", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248364", "http://doi.org/10.1109/CVPR.2012.6248364"]}, {"id": "4926af10d590686f4f5706b450515caaa1ddea54", "title": "Adaptive Deep Supervised Autoencoder Based Image Reconstruction for Face Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4926/af10d590686f4f5706b450515caaa1ddea54.pdf"], "doi": []}, {"id": "31ace8c9d0e4550a233b904a0e2aabefcc90b0e3", "title": "Learning Deep Face Representation", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.2802.pdf"], "doi": []}, {"id": "f558af209dd4c48e4b2f551b01065a6435c3ef33", "title": "AN ENHANCED ATTRIBUTE RERANKING DESIGN FOR WEB IMAGE SEARCH", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f558/af209dd4c48e4b2f551b01065a6435c3ef33.pdf"], "doi": []}, {"id": "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "title": "Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09518.pdf"], "doi": []}, {"id": "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "title": "Contributions to Deep Learning Models", "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/61296/MANSANET%20-%20Contributions%20to%20Deep%20Learning%20Models.pdf;jsessionid=118A8263B301DE77F2C02BDA0178D474?sequence=1", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_castellano.pdf?isAllowed=y&sequence=3", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_ingles.pdf?isAllowed=y&sequence=5", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_valenciano.pdf?isAllowed=y&sequence=4"], "doi": ["https://doi.org/10.4995/Thesis%2F10251%2F61296"]}, {"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": "913961d716a4102d3428224f999295f12438399f", "title": "A review of biometric technology along with trends and prospects", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.01.016"]}, {"id": "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "title": "Describable Visual Attributes for Face Verification and Image Search", "year": "2011", "pdf": ["http://acberg.com/papers/berg_face_attributes_pami.pdf", "http://acberg.com/papers/faceattrs_pami_submission_1.pdf", "http://neerajkumar.org/publications/base/papers/nk_pami2011_faceattrs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"id": "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "title": "Face Verification Using the LARK Representation", "year": "2011", "pdf": ["https://users.soe.ucsc.edu/~milanfar/publications/journal/TIFS_Final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5872024", "http://doi.org/10.1109/TIFS.2011.2159205"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "15a9f812e781cf85c283f7cf2aa2928b370329c5", "title": "Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7206599", "http://doi.org/10.1109/TPAMI.2015.2469281", "https://www.ncbi.nlm.nih.gov/pubmed/26959678", "https://www.wikidata.org/entity/Q38395003"]}, {"id": "c5ecbc343f26b7051bb084b10b74eeb12b39fd15", "title": "Contributions to large-scale learning for image classification. (Contributions \u00e0 l'apprentissage grande \u00e9chelle pour la classification d'images)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7f79/e78e52883994a8a843af48922980ae730e65.pdf"], "doi": []}, {"id": "477236563c6a6c6db922045453b74d3f9535bfa1", "title": "Attribute Based Image Search Re-Ranking Snehal", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3c3a/e3a2e7c3ee00f33a87a82d5783e84c3a1de2.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": "2faa09413162b0a7629db93fbb27eda5aeac54ca", "title": "Quantifying how lighting and focus affect face recognition performance", "year": "2010", "pdf": ["http://www.cs.colostate.edu/~draper/papers/beveridge_cvprw10.pdf", "http://www.cs.colostate.edu/~vision/publications/beveridge_cvprw10.pdf", "http://www.nist.gov/customcf/get_pdf.cfm?pub_id=903086", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=903086"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543228", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543228", "http://doi.org/10.1109/CVPRW.2010.5543228"]}, {"id": "1da83903c8d476c64c14d6851c85060411830129", "title": "Iterated Support Vector Machines for Distance Metric Learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00363.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": "2d71e0464a55ef2f424017ce91a6bcc6fd83f6c3", "title": "A Survey on : Image Process using Two-Stage Crawler", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/77c1/56969e3b7fbc86432c5238a95679d25ac579.pdf"], "doi": []}, {"id": "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "title": "Robust Kernel Representation With Statistical Local Features for Face Recognition", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/RKR-TNN.pdf", "https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471239", "http://doi.org/10.1109/TNNLS.2013.2245340", "https://www.ncbi.nlm.nih.gov/pubmed/24808472", "https://www.wikidata.org/entity/Q46195115"]}, {"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": "164d8909f6b7cc9d0a39eb22fe0a9b9bd0698c2f", "title": "Attribute learning using joint human and machine computation", "year": "2012", "pdf": [], "doi": []}, {"id": "8b8728edc536020bc4871dc66b26a191f6658f7c", "title": "Robust gender recognition by exploiting facial attributes dependencies", "year": "2014", "pdf": ["http://www.dia.fi.upm.es/~pcr/publications/prl2013.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2013.04.028"]}, {"id": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "e1d726d812554f2b2b92cac3a4d2bec678969368", "title": "Human Action Recognition Bases on Local Action Attributes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c134/a2441bc1f3ec6b85f22868284c279881b918.pdf"], "doi": []}, {"id": "c0270a57ad78da6c3982a4034ffa195b9e932fda", "title": "Multi-level Feature Learning for Face Recognition under Makeup Changes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961842", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.131", "http://doi.org/10.1109/FG.2017.131"]}, {"id": "82417d8ec8ac6406f2d55774a35af2a1b3f4b66e", "title": "Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8241/7d8ec8ac6406f2d55774a35af2a1b3f4b66e.pdf"], "doi": []}, {"id": "c1dfabe36a4db26bf378417985a6aacb0f769735", "title": "Describing Visual Scene through EigenMaps", "year": "", "pdf": ["https://pdfs.semanticscholar.org/c1df/abe36a4db26bf378417985a6aacb0f769735.pdf"], "doi": []}, {"id": "133dd0f23e52c4e7bf254e8849ac6f8b17fcd22d", "title": "Active Clustering with Model-Based Uncertainty Reduction", "year": "2016", "pdf": ["https://arxiv.org/pdf/1402.1783.pdf"], "doi": []}, {"id": "0163d847307fae508d8f40ad193ee542c1e051b4", "title": "Classemes and Other Classifier-Based Features for Efficient Object Categorization", "year": "2014", "pdf": ["http://www.alessandrobergamo.com/data/compact_descriptors.pdf", "http://www.alessandrobergamo.com/data/compact_descriptors_supplementary.pdf", "http://www.cs.dartmouth.edu/~aleb/data/compact_descriptors.pdf", "http://www.cs.dartmouth.edu/~aleb/data/compact_descriptors_supplementary.pdf", "http://www.cs.dartmouth.edu/~lorenzo/Papers/bt-pami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6777334", "http://doi.org/10.1109/TPAMI.2014.2313111", "https://www.ncbi.nlm.nih.gov/pubmed/26352630", "https://www.wikidata.org/entity/Q50562613"]}, {"id": "1b6394178dbc31d0867f0b44686d224a19d61cf4", "title": "EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca8e/5419fd570f19643425b24da801283b706fc1.pdf"], "doi": []}, {"id": "c697590ddd71232174072c9680adbc7a0b30c84c", "title": "Face retrieval using frequency decoded local descriptor", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.06508.pdf"], "doi": []}, {"id": "59bfeac0635d3f1f4891106ae0262b81841b06e4", "title": "Face Verification Using the LARK Face Representation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/59bf/eac0635d3f1f4891106ae0262b81841b06e4.pdf"], "doi": []}, {"id": "eba4cfd76f99159ccc0a65cab0a02db42b548d85", "title": "Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/spoken_attributes.pdf", "http://uvu.eecs.utk.edu/wp-content/uploads/2018/08/spoken_attributes.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Sadovnik_Spoken_Attributes_Mixing_2013_ICCV_paper.pdf", "https://www.cc.gatech.edu/~parikh/Publications/Sadovnik_ICCV_2013_saying_the_right_thing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751379", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.268", "http://doi.org/10.1109/ICCV.2013.268"]}, {"id": "40294254c5d1eb894665b28e009e6daa92aa943a", "title": "Donn\u00e9es multimodales pour l'analyse d'image", "year": "2010", "pdf": [], "doi": []}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "e88988f4696e7e2925ed96467fde4314bfa95eff", "title": "Fusion paradigms in cognitive technical systems for human-computer interaction", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.01.076"]}, {"id": "13f065d4e6dfe2a130bd64d73eee97d10d9f7d33", "title": "A Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371222", "http://doi.org/10.1109/DICTA.2015.7371222"]}, {"id": "5ac23ecff8ad11ba6de4ce09b058d05e1d41d01c", "title": "A hierarchical and regional deep learning architecture for image description generation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64800/1/Accepted_manuscript.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2017.09.013"]}, {"id": "99d7678039ad96ee29ab520ff114bb8021222a91", "title": "Political image analysis with deep neural networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/99d7/678039ad96ee29ab520ff114bb8021222a91.pdf"], "doi": []}, {"id": "385750bcf95036c808d63db0e0b14768463ff4c6", "title": "Autoencoding beyond pixels using a learned similarity metric", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.09300.pdf"], "doi": []}, {"id": "e5737ffc4e74374b0c799b65afdbf0304ff344cb", "title": "A literature survey on robust and efficient eye localization in real-life scenarios", "year": "2013", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pr13eye.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/ED_survey0412.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.05.009"]}, {"id": "782188821963304fb78791e01665590f0cd869e8", "title": "Automatic Spatially-Aware Fashion Concept Discovery", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01311.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": "176a3e9e118712251124c1347516a92d5e315297", "title": "Attribute-based vehicle search in crowded surveillance videos", "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1992014"]}, {"id": "247b5d69370f6e3af9f36f1f9dcf482d63f771d7", "title": "Markov chain Monte Carlo for integrated face image analysis", "year": "2014", "pdf": ["https://edoc.unibas.ch/34084/1/Schoenborn-PhD.pdf"], "doi": ["https://doi.org/10.5451/unibas-006288272"]}, {"id": "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "title": "Face Verification Based on Relational Disparity Features and Partial Least Squares Models", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_SIBGRAPI_Vareto.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097314", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.34", "http://doi.org/10.1109/SIBGRAPI.2017.34"]}, {"id": "71bbda43b97e8dc8b67b2bde3c873fa6aacd439f", "title": "A software system for automated identification and retrieval of moth images based on wing attributes", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2015.09.012"]}, {"id": "e98551055bdcf8e25e07f4ffdbf39d0a4a57bffc", "title": "Model Semantic Relations with Extended Attributes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977153", "http://doi.org/10.1109/ICPR.2014.440"]}, {"id": "50d15cb17144344bb1879c0a5de7207471b9ff74", "title": "Divide , Share , and Conquer : Multitask Attribute Learning with Selective Sharing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/50d1/5cb17144344bb1879c0a5de7207471b9ff74.pdf"], "doi": []}, {"id": "c8fc771fbc889ad70e841d93cfb7e38cfa1be1f1", "title": "Review on Textual Description of Image Contents", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c8fc/771fbc889ad70e841d93cfb7e38cfa1be1f1.pdf"], "doi": []}, {"id": "c5b4590d9c539dc893edcec2b54d1efffd221655", "title": "Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16626", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16626/16314"]}, {"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": "57c270a9f468f7129643852945cf3562cbb76e07", "title": "Multi-label convolutional neural network based pedestrian attribute classification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.07.004"]}, {"id": "556545eec370b9d300fc044a1aa63fc44fd79b0f", "title": "Comparative object similarity for improved recognition with few or no examples", "year": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2010_gangwang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539955", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5539955", "http://doi.org/10.1109/CVPR.2010.5539955"]}, {"id": "15e12d5c4d80a2b6f4d957a3ffd130564e9bab3a", "title": "2D-3D face recognition via Restricted Boltzmann Machines", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/47365/47365.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294980", "http://doi.org/10.5220/0004736505740580"]}, {"id": "2c06781ba75d51f5246d65d1acf66ab182e9bde6", "title": "Open-set face recognition across look-alike faces in real-world scenarios", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.11.002"]}, {"id": "5a34a9bb264a2594c02b5f46b038aa1ec3389072", "title": "Label-Embedding for Image Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.08677.pdf"], "doi": []}, {"id": "919d3067bce76009ce07b070a13728f549ebba49", "title": "Time Based Re-ranking for Web Image Search Ms .", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/919d/3067bce76009ce07b070a13728f549ebba49.pdf"], "doi": []}, {"id": "cf73b404f9ac98f8d5801f54ca40dd1d792c701a", "title": "A New Approach to Face Recognition Based on Generalized Hough Transform and Local Image Descriptors", "year": "2012", "pdf": [], "doi": []}, {"id": "14761b89152aa1fc280a33ea4d77b723df4e3864", "title": "Zero-Shot Learning via Visual Abstraction", "year": "2014", "pdf": ["http://research.microsoft.com/en-us/um/people/larryz/eccv2014_zsl_via_visual_abstraction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8692/86920401.pdf", "https://computing.ece.vt.edu/~santol/projects/zsl_via_visual_abstraction/eccv2014_zsl_via_visual_abstraction.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10593-2_27"]}, {"id": "784a83437b3dba49c0d7ccc10ac40497b84661a5", "title": "Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Kaneko_Generative_Attribute_Controller_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Kaneko_Generative_Attribute_Controller_2017_CVPR_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100224", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.741", "http://doi.org/10.1109/CVPR.2017.741"]}, {"id": "0fc4d0c328036cc197a48f278f7c15cb12860f3a", "title": "Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0011"]}, {"id": "2adffdffa16475ae71bb2adcf65840f01f1e53f7", "title": "Recognition improvement through the optimisation of learning instances", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0094"]}, {"id": "06e7e99c1fdb1da60bc3ec0e2a5563d05b63fe32", "title": "WhittleSearch: Image search with relative attribute feedback", "year": "2012", "pdf": ["http://www.cs.utexas.edu/~grauman/papers/whittle-search-cvpr2012.pdf", "http://www.cs.utexas.edu/~grauman/papers/whittle-search-supp-cvpr2012.pdf", "http://www.cs.utexas.edu/~grauman/papers/whittlesearch-poster-cvpr2012.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/KovashkaParikhGrauman_CVPR_2012_whittle_search.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248026", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248026", "http://doi.org/10.1109/CVPR.2012.6248026"]}, {"id": "ae753fd46a744725424690d22d0d00fb05e53350", "title": "Describing clothing by semantic attributes", "year": "2012", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/publications/ECCV2012_ClothingAttributes.pdf", "http://web.stanford.edu/~hchen2/papers/ECCV2012_ClothingAttributes.pdf", "https://pdfs.semanticscholar.org/b185/f0a39384ceb3c4923196aeed6d68830a069f.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_44"]}, {"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": "c614450c9b1d89d5fda23a54dbf6a27a4b821ac0", "title": "Face Image Retrieval of Efficient Sparse Code words and Multiple Attribute in Binning Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c614/450c9b1d89d5fda23a54dbf6a27a4b821ac0.pdf"], "doi": []}, {"id": "cf2e1ebb9609f46af6de0c15b4f48d03e37e54ba", "title": "Jointly Learning Multiple Perceptual Similarities", "year": "2015", "pdf": [], "doi": []}, {"id": "004e3292885463f97a70e1f511dc476289451ed5", "title": "Quadruplet-Wise Image Similarity Learning", "year": "2013", "pdf": ["http://webia.lip6.fr/~thomen/papers/Law_ICCV_2013_QWise.pdf", "http://www.cs.toronto.edu/~law/publications/ICCV/2013/law_iccv_2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Law_Quadruplet-Wise_Image_Similarity_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751140", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.38", "http://doi.org/10.1109/ICCV.2013.38", "https://hal.archives-ouvertes.fr/hal-01094069/document"]}, {"id": "2f59f28a1ca3130d413e8e8b59fb30d50ac020e2", "title": "Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information", "year": "2014", "pdf": ["http://pralab.diee.unica.it/sites/default/files/Satta_ICPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976781", "http://doi.org/10.1109/ICPR.2014.70"]}, {"id": "0093ace3e220869ac9aa407c7fb940ddb82c7a2b", "title": "Computer Vision", "year": "2014", "pdf": ["http://www.cs.duke.edu/courses/cps001/summer07/Lectures/Computer_Vision.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part06-probability_distributions-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part06-probability_distributions.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part14-hierarchical-dirichlet2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part18-support_vector_machines-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part21-structured-output-learning2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part07-recognition1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part18-repetition-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-13-14/lectures/cv13-part04-edge-detection.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part04-edge-detection.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part06-segmentation1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part08-recognition1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part09-recognition2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part15-local-features4-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part15-local-features4.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part19-reconstruction3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2012/lectures/ml12-part02-pde1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2012/lectures/ml12-part13-graphical_models3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2015/lectures-1/ml15-part13-graphical_models1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part03-pde2.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part09-nonlinear_svms-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part10-model_combination.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part16-graphical_models1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part18-graphical_models3-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part22-repetition-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2015/machine-learning/ml15-part13-graphical_models1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part14-deep-learning2.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part18-graphical_models4-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part04-edge-detection.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part06-segmentation1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part08-recognition1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part09-recognition2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part15-local-features4-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part15-local-features4.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part10-mixture_models2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part20-rbms.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part06-segmentation1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part09-categorization1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part12-local-features2.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part14-local-features4.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part21-repetition-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part06-segmentation1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part15-categorization4-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part15-categorization4.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part17-reconstruction1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2017/machine-learning/ml17-part03-pde2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2018/machine-learning/ml18-part01-intro-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2018/machine-learning/ml18-part04-pde3-6on1.pdf", "https://vlu.fachschaft.info/2013ws/cv.pdf", "https://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part19-reconstruction3.pdf"], "doi": ["https://doi.org/10.1007/978-0-387-31439-6"]}, {"id": "5dfebcb7bfefb1af1cfef61a151abfe98a7e7cfa", "title": "Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a779.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Wah_Attribute-Based_Detection_of_2013_CVPR_paper.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2017/04/Wah_Attribute-Based_Detection_of_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618950", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.106", "http://doi.org/10.1109/CVPR.2013.106"]}, {"id": "1e8394cc9fe7c2392aa36fb4878faf7e78bbf2de", "title": "Zero-Shot Object Recognition System Based on Topic Model", "year": "2015", "pdf": ["https://arxiv.org/pdf/1410.3748.pdf"], "doi": []}, {"id": "43476cbf2a109f8381b398e7a1ddd794b29a9a16", "title": "A Practical Transfer Learning Algorithm for Face Verification", "year": "2013", "pdf": ["http://research.microsoft.com/pubs/202192/TransferLearning.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cao_A_Practical_Transfer_2013_ICCV_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2013/01/TransferLearning.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2013/01/TransferLearningSuppl.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751510", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.398", "http://doi.org/10.1109/ICCV.2013.398"]}, {"id": "29f27448e8dd843e1c4d2a78e01caeaea3f46a2d", "title": "Similar gait action recognition using an inertial sensor", "year": "2015", "pdf": ["http://www.am.sanken.osaka-u.ac.jp/~makihara/pdf/pr_2015Apr.pdf", "https://www.researchgate.net/profile/Ngo_Thanh_Trung/publication/270053105_Similar_gait_action_recognition_using_an_inertial_sensor/links/550f6a8b0cf2752610a03834.pdf?origin=publication_list"], "doi": ["http://doi.org/10.1016/j.patcog.2014.10.012"]}, {"id": "90e56a8515c8c2ff16f5c79c69811e283be852c7", "title": "Boosting face recognition via neural Super-Resolution", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/90e5/6a8515c8c2ff16f5c79c69811e283be852c7.pdf"], "doi": []}, {"id": "9c1b526dc9adba029809e45693f758c2af913f60", "title": "Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08254.pdf"], "doi": []}, {"id": "1b4f6f73c70353869026e5eec1dd903f9e26d43f", "title": "Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels", "year": "2016", "pdf": ["https://arxiv.org/pdf/1501.06202.pdf"], "doi": []}, {"id": "4b60e45b6803e2e155f25a2270a28be9f8bec130", "title": "Attribute based object identification", "year": "2013", "pdf": ["http://homes.cs.washington.edu/~sunyuyin/paper/icra13.pdf", "http://research.cs.washington.edu/istc/lfb/paper/icra13.pdf", "http://www.eng.uwaterloo.ca/~jbergstr/files/nips_dl_2012/Paper%2030.pdf", "https://rse-lab.cs.washington.edu/papers/attribute-objects-icra-2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6630858", "http://doi.org/10.1109/ICRA.2013.6630858"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7", "title": "Understanding Kin Relationships in a Photo", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151163"]}, {"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": "53509017a25ac074b5010bb1cdba293cdf399e9b", "title": "Human Action Recognition with Attribute Regularization", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6327994", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.41", "http://doi.org/10.1109/AVSS.2012.41"]}, {"id": "1b69b860e22278a6f482507b8ce879082dd00c44", "title": "Inferring Analogous Attributes", "year": "2014", "pdf": ["http://vision.cs.utexas.edu/projects/inferring_analogous_attribute/inferring-analogous-attributes-poster.pdf", "http://vision.cs.utexas.edu/projects/inferring_analogous_attribute/inferring-analogous-attributes.pdf", "http://www.cs.utexas.edu/~grauman/papers/chen-attributes-cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Inferring_Analogous_Attributes_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909427", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.33", "http://doi.org/10.1109/CVPR.2014.33"]}, {"id": "0700d36427b3a6cb6223a639ffea11570400ab25", "title": "Doing the Best We Can with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16962", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16962/16273"]}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274747", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2481396", "http://doi.org/10.1109/TPAMI.2015.2481396", "https://www.ncbi.nlm.nih.gov/pubmed/26415152"]}, {"id": "218ce079b9e64288faf20a87043dc32884105102", "title": "A survey: Verification of family relationship from parents and child facial images", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6804516"]}, {"id": "78fdf2b98cf6380623b0e20b0005a452e736181e", "title": "Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/78fd/f2b98cf6380623b0e20b0005a452e736181e.pdf"], "doi": []}, {"id": "2e475f1d496456831599ce86d8bbbdada8ee57ed", "title": "Groupsourcing: Team Competition Designs for Crowdsourcing", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2741097"]}, {"id": "743e582c3e70c6ec07094887ce8dae7248b970ad", "title": "Face Recognition based on Deep Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/743e/582c3e70c6ec07094887ce8dae7248b970ad.pdf"], "doi": []}, {"id": "1910f5f7ac81d4fcc30284e88dee3537887acdf3", "title": "Semantic Based Hypergraph Reranking Model for Web Image Search", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1910/f5f7ac81d4fcc30284e88dee3537887acdf3.pdf"], "doi": []}, {"id": "d2d9612d3d67582d0cd7c1833599b88d84288fab", "title": "A comparison of deep multilayer networks and Markov random field matching models for face recognition in the wild", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0222"]}, {"id": "ccf0324f4115687a844a6df6a87bbba150adc10b", "title": "Interactive image search with attributes", "year": "2014", "pdf": [], "doi": []}, {"id": "290136947fd44879d914085ee51d8a4f433765fa", "title": "On a taxonomy of facial features", "year": "2010", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KlareJain_TaxonomyFacialFeatures_BTAS10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634533", "http://doi.org/10.1109/BTAS.2010.5634533"]}, {"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": "d3409f66d35f5828affda26fc3416771eb8154b1", "title": "Verification of family relation from parents and child facial images", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981146"]}, {"id": "b7fa06b76f4b9263567875b2988fb7bbc753e69f", "title": "Low Resolution Face Recognition Across Variations in Pose and Illumination", "year": "2016", "pdf": ["http://www.ee.iisc.ac.in/new/people/faculty/soma.biswas/Papers/mudunuri_pami2016_fr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208853", "http://doi.org/10.1109/TPAMI.2015.2469282", "https://www.ncbi.nlm.nih.gov/pubmed/27046843", "https://www.wikidata.org/entity/Q50674123"]}, {"id": "2e0f5e72ad893b049f971bc99b67ebf254e194f7", "title": "Apparel classification with style", "year": "2012", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00974.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37447-0_25"]}, {"id": "01e12be4097fa8c94cabeef0ad61498c8e7762f2", "title": "Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a644.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Biswas_Simultaneous_Active_Learning_2013_CVPR_paper.pdf", "http://www.umiacs.umd.edu/~arijit/relative_attribute_classifier_feedback.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/BiswasParikh_CVPR_2013_active_attributes_feedback.pdf", "https://www.cc.gatech.edu/~parikh/Publications/BiswasParikh_CVPR_2013_active_attributes_feedback_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618933", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.89", "http://doi.org/10.1109/CVPR.2013.89"]}, {"id": "0d538084f664b4b7c0e11899d08da31aead87c32", "title": "Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction", "year": "2013", "pdf": ["http://people.eecs.berkeley.edu/~nzhang/papers/dpd_poster_Ning.pdf", "http://www.cs.berkeley.edu/~nzhang/papers/iccv13_dpd.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhang_Deformable_Part_Descriptors_2013_ICCV_paper.pdf", "https://people.eecs.berkeley.edu/~nzhang/papers/iccv13_dpd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751200", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.96", "http://doi.org/10.1109/ICCV.2013.96"]}, {"id": "aeff403079022683b233decda556a6aee3225065", "title": "DeepFace: Face Generation using Deep Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01876.pdf"], "doi": []}, {"id": "9aab33ce8d6786b3b77900a9b25f5f4577cea461", "title": "Automatic Semantic Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961739", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.31", "http://doi.org/10.1109/FG.2017.31"]}, {"id": "a3ebacd8bcbc7ddbd5753935496e22a0f74dcf7b", "title": "First International Workshop on Adaptive Shot Learning for Gesture Understanding and Production ASL4GUP 2017 Held in conjunction with IEEE FG 2017, in May 30, 2017, Washington DC, USA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a3eb/acd8bcbc7ddbd5753935496e22a0f74dcf7b.pdf"], "doi": []}, {"id": "4e343c66c5fe7426132869d552f0f205d1bc5307", "title": "Automatic Image Attribute Selection for Zero-Shot Learning of Object Categories", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977165", "http://doi.org/10.1109/ICPR.2014.452"]}, {"id": "6baaa8b763cc5553715766e7fbe7abb235fae33c", "title": "Facial Attributes Classification Using Multi-task Representation Learning", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Ehrlich_Facial_Attributes_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789589", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.99", "http://doi.org/10.1109/CVPRW.2016.99"]}, {"id": "f26097a1a479fb6f32b27a93f8f32609cfe30fdc", "title": "What is the Best Way for Extracting Meaningful Attributes from Pictures?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.04957.pdf"], "doi": []}, {"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": "7ab930146f4b5946ec59459f8473c700bcc89233", "title": "Feature ranking for multi-label classification using Markov Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07464.pdf"], "doi": []}, {"id": "aafb271684a52a0b23debb3a5793eb618940c5dd", "title": "Hierarchical semantic indexing for large scale image retrieval", "year": "2011", "pdf": ["http://acberg.com/papers/0857.pdf", "http://acberg.com/papers/hierarchical_semantic_indexing.pdf", "http://cs.stanford.edu/groups/vision/documents/DengBergFei-Fei_CVPR2011_supp.pdf", "http://vision.stanford.edu/documents/DengBergFei-Fei_CVPR2011_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995516", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995516", "http://doi.org/10.1109/CVPR.2011.5995516"]}, {"id": "936c7406de1dfdd22493785fc5d1e5614c6c2882", "title": "Detecting Visual Text", "year": "2012", "pdf": ["http://www.umiacs.umd.edu/~amit/Papers/goyalDescTextNAACL12.pdf", "http://www.umiacs.umd.edu/~hal/docs/daume12desctext.pdf"], "doi": ["http://www.aclweb.org/anthology/N12-1094", "http://aclweb.org/anthology/N12-1094"]}, {"id": "be437b53a376085b01ebd0f4c7c6c9e40a4b1a75", "title": "Face Recognition and Retrieval Using Cross Age Reference Coding", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/be43/7b53a376085b01ebd0f4c7c6c9e40a4b1a75.pdf"], "doi": []}, {"id": "89de30a75d3258816c2d4d5a733d2bef894b66b9", "title": "Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training", "year": "2015", "pdf": ["http://zhqiang.org/wp-content/uploads/2014/10/relative_hmm_pami.pdf", "https://www.computer.org/csdl/trans/tp/2015/06/06915721.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915721", "http://doi.org/10.1109/TPAMI.2014.2361121", "https://www.ncbi.nlm.nih.gov/pubmed/26357343", "https://www.wikidata.org/entity/Q40552833"]}, {"id": "d61578468d267c2d50672077918c1cda9b91429b", "title": "Face Image Retrieval Using Pose Specific Set Sparse Feature Representation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d615/78468d267c2d50672077918c1cda9b91429b.pdf"], "doi": []}, {"id": "68bec0e90fb276d9ee9dde445aaf50255e85a116", "title": "A Review on Attribute Based Image Search Reranking", "year": "2016", "pdf": [], "doi": []}, {"id": "5502dfe47ac26e60e0fb25fc0f810cae6f5173c0", "title": "Affordance Prediction via Learned Object Attributes", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5502/dfe47ac26e60e0fb25fc0f810cae6f5173c0.pdf"], "doi": []}, {"id": "6a38c575733b0f7118970238e8f9b480522a2dbc", "title": "Random Forests Can Hash", "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.5083.pdf"], "doi": []}, {"id": "d8b4698d5dcdcf25c6d639bd5ac6073a839bc4e1", "title": "Weakly Supervised Models For Recognizing And Clustering High-level Complex Events In Video", "year": "2014", "pdf": [], "doi": []}, {"id": "9854145f2f64d52aac23c0301f4bb6657e32e562", "title": "An Improved Face Verification Approach Based on Speedup Robust Features and Pairwise Matching", "year": "2013", "pdf": ["http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/technical/114953_2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656208", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.57", "http://doi.org/10.1109/SIBGRAPI.2013.57"]}, {"id": "d065996d413814b58092d4b881f3ac6e9d6b15d8", "title": "CBR TECHNIQUES WITH SPARSE CODEWORDS TO RETRIEVE FACE IMAGE", "year": "2015", "pdf": [], "doi": []}, {"id": "4adca62f888226d3a16654ca499bf2a7d3d11b71", "title": "Models of Semantic Representation with Visual Attributes", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5525/119941f6710fcde85cf71cc2ca25484e78c6.pdf"], "doi": []}, {"id": "54aacc196ffe49b3450059fccdf7cd3bb6f6f3c3", "title": "A joint learning framework for attribute models and object descriptions", "year": "2011", "pdf": ["http://www.cs.toronto.edu/~vnair/iccv11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126373", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126373", "http://doi.org/10.1109/ICCV.2011.6126373"]}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"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": "5666ed763698295e41564efda627767ee55cc943", "title": "Relatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations", "year": "2014", "pdf": ["http://i.cs.hku.hk/~kykwong/publications/zkuang_ijcv15.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0783-8"]}, {"id": "09137e3c267a3414314d1e7e4b0e3a4cae801f45", "title": "Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06078.pdf"], "doi": []}, {"id": "3291aff20c171927eed7896eba659ce599ccb666", "title": "F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.05035.pdf"], "doi": []}, {"id": "e1f790bbedcba3134277f545e56946bc6ffce48d", "title": "Image Retrieval Using Attribute Enhanced Sparse Code Words", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e1f7/90bbedcba3134277f545e56946bc6ffce48d.pdf"], "doi": []}, {"id": "5305bfdff39ae74d2958ba28d42c16495ce2ff86", "title": "Regularized Least-Squares Coding with Unlabeled Dictionary for Image-Set Based Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008128", "http://doi.org/10.1109/DICTA.2014.7008128"]}, {"id": "1617f56c86bf8ea61de62062a97961d23fcf03d3", "title": "Facial Similarity Learning with Humans in the Loop", "year": "2015", "pdf": ["https://page-one.springer.com/pdf/preview/10.1007/s11390-015-1540-3"], "doi": ["http://doi.org/10.1007/s11390-015-1540-3"]}, {"id": "6fe2efbcb860767f6bb271edbb48640adbd806c3", "title": "Soft Biometrics; Human Identification Using Comparative Descriptions", "year": "2014", "pdf": ["http://eprints.soton.ac.uk/359808/1/version9.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654143", "http://doi.org/10.1109/TPAMI.2013.219", "https://www.ncbi.nlm.nih.gov/pubmed/26353282", "https://www.wikidata.org/entity/Q38429422"]}, {"id": "44b30a1048465cd56904cdcbec8e79dffab693bd", "title": "Semantic based Query Approach For Web Image Search Through reranking algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/44b3/0a1048465cd56904cdcbec8e79dffab693bd.pdf"], "doi": []}, {"id": "ca447d6479554b27b4afbd0fd599b2ed39f2c335", "title": "Automatic Video Genre Classification Using Multiple SVM Votes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977171", "http://doi.org/10.1109/ICPR.2014.459"]}, {"id": "e0679f8cf0029c04a95d966f562eb0bac3145adf", "title": "Harnessing auxiliary information : New methods to improve person identification", "year": "2015", "pdf": [], "doi": []}, {"id": "3c8da376576938160cbed956ece838682fa50e9f", "title": "Aiding face recognition with social context association rule based re-ranking", "year": "2014", "pdf": ["http://shodhganga.inflibnet.ac.in/bitstream/10603/49167/11/11_chapter%204.pdf", "http://shodhganga.inflibnet.ac.in:8080/jspui/bitstream/10603/49167/11/11_chapter%204.pdf", "http://www.iab-rubric.org/papers/Face-Context.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996266", "http://doi.org/10.1109/BTAS.2014.6996266"]}, {"id": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "042825549296ea419d95fcf0b5e71f72070a5f0d", "title": "Face Recognition from Caption-Based Supervision", "year": "2011", "pdf": ["http://eprints.pascal-network.org/archive/00008397/01/paper.pdf", "http://lear.inrialpes.fr/pubs/2010/GMVS10b/paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01053.pdf", "https://hal.inria.fr/inria-00522185/file/paper.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/guillaumin10tr.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/guillaumin12ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-011-0447-x"]}, {"id": "09d8c49197a885299bd18fdce9764ed66187b83d", "title": "How to predict the global instantaneous feeling induced by a facial picture", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.image.2015.04.002", "https://hal.archives-ouvertes.fr/hal-01198718/document"]}, {"id": "133f01aec1534604d184d56de866a4bd531dac87", "title": "Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5674057"]}, {"id": "5e6ba16cddd1797853d8898de52c1f1f44a73279", "title": "Face Identification with Second-Order Pooling", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6818.pdf"], "doi": []}, {"id": "31697737707d7f661cbc6785b76cf9a79fee3ccd", "title": "A Semantical & Analytical Approach for Zero Shot Gesture Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961823", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.100", "http://doi.org/10.1109/FG.2017.100"]}, {"id": "2b6f6800bcb7dbf09e1caac725f39ed14bb7db50", "title": "Driver Gaze Tracking and Eyes of the Road Detection System", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2b6f/6800bcb7dbf09e1caac725f39ed14bb7db50.pdf"], "doi": []}, {"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": "21e828071249d25e2edaca0596e27dcd63237346", "title": "Scalable Face Image Retrieval with Identity-Based Quantization and Multireference Reranking", "year": "2010", "pdf": ["http://research.microsoft.com/en-us/um/people/jiansun/papers/cvpr10_facesearch.pdf", "http://research.microsoft.com/pubs/155719/face-pami.pdf", "http://www.jiansun.org/papers/CVPR10_FaceSearch.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2010/06/cvpr2010.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2011/10/face-pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871641", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.111", "http://doi.org/10.1109/TPAMI.2011.111", "https://www.ncbi.nlm.nih.gov/pubmed/21646678"]}, {"id": "f4ebbeb77249d1136c355f5bae30f02961b9a359", "title": "Human Computation for Attribute and Attribute Value Acquisition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f4eb/beb77249d1136c355f5bae30f02961b9a359.pdf"], "doi": []}, {"id": "6acb911d57720367d1ae7b9bce8ab9f9dcd9aadb", "title": "A region-based image caption generator with refined descriptions", "year": "2018", "pdf": ["http://nrl.northumbria.ac.uk/31442/1/journal_optimized_revised%20(003).pdf", "https://ueaeprints.uea.ac.uk/64124/1/Accepted_manuscript.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2017.07.014"]}, {"id": "458677de7910a5455283a2be99f776a834449f61", "title": "Face Image Retrieval Using Facial Attributes By K-Means", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4586/77de7910a5455283a2be99f776a834449f61.pdf"], "doi": []}, {"id": "a646319975ae38081b3788e9241917f1b096a95f", "title": "Towards Scalable Analysis of Images and Videos", "year": "2014", "pdf": [], "doi": []}, {"id": "ab8f9a6bd8f582501c6b41c0e7179546e21c5e91", "title": "Nonparametric Face Verification Using a Novel Face Representation", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ab8f/9a6bd8f582501c6b41c0e7179546e21c5e91.pdf"], "doi": []}, {"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": "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": "36cf96fe11a2c1ea4d999a7f86ffef6eea7b5958", "title": "RGB-D Face Recognition With Texture and Attribute Features", "year": "2014", "pdf": ["http://www.iab-rubric.org/papers/RGBD-Face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868224", "http://doi.org/10.1109/TIFS.2014.2343913"]}, {"id": "40033c6a0b534a6023a78ee2a144edd7f10fa696", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26454196", "https://doi.org/10.1016/j.forsciint.2015.09.002"]}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "c63a565dcf3114579e555feda498de6a0563d698", "title": "Attribute Sparse Coding (ASC\u2019s) for Content-Based Image Retrieval (CBIR)", "year": "2014", "pdf": [], "doi": []}, {"id": "1d3733e1a4b9d3e5b95fb7cc135a0819cba90c22", "title": "Linear subspace methods in face recognition", "year": "2011", "pdf": ["http://eprints.nottingham.ac.uk/12330/1/thesis_final.pdf"], "doi": ["http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548966"]}, {"id": "4f591e243a8f38ee3152300bbf42899ac5aae0a5", "title": "Understanding Higher-Order Shape via 3D Shape Attributes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4f59/1e243a8f38ee3152300bbf42899ac5aae0a5.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.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": "79dc84a3bf76f1cb983902e2591d913cee5bdb0e", "title": "Grounded Compositional Semantics for Finding and Describing Images with Sentences", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1e9e/87fc99430a82621810b3ce7db51e339be315.pdf"], "doi": []}, {"id": "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "title": "Compare and Contrast: Learning Prominent Visual Differences", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00112.pdf"], "doi": []}, {"id": "9e9052256442f4e254663ea55c87303c85310df9", "title": "On Attribute-assisted Reranking for Image Search", "year": "", "pdf": ["https://pdfs.semanticscholar.org/9e90/52256442f4e254663ea55c87303c85310df9.pdf"], "doi": []}, {"id": "0eed55ea9f401f25e1474cdbaf09367f44b4f490", "title": "High-level attributes modeling for indoor scenes classification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2013.05.032"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "424e52158b43e40f356af7eafb35c91a9e13db30", "title": "Impact Factor : 3 . 449 ( ISRA ) , Impact Factor : 2 .", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/424e/52158b43e40f356af7eafb35c91a9e13db30.pdf"], "doi": []}, {"id": "94a7c97d1e3eb5dbfb20b180780451486597a9be", "title": "Facial attributes for active authentication on mobile devices", "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/attrspaper_final.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.004"]}, {"id": "fb4545782d9df65d484009558e1824538030bbb1", "title": "Learning Visual Patterns: Imposing Order on Objects, Trajectories and Networks", "year": "2011", "pdf": ["http://drum.lib.umd.edu/bitstream/handle/1903/11691/Farrell_umd_0117E_12105.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.base-search.net/Record/4de2baebc2f567f134ca5e47dd8a047183007d938add11de453483c018f109fc"]}, {"id": "3b9d94752f8488106b2c007e11c193f35d941e92", "title": "Appearance , Visual and Social Ensembles for Face Recognition in Personal Photo Collections", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3b9d/94752f8488106b2c007e11c193f35d941e92.pdf"], "doi": []}, {"id": "9eef060f351d2a107bd7eb5b49d67653a4ffa38b", "title": "Attribute-correlated local regions for deep relative attributes learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f88/d3189723669f957d83ad542ac5c2341c37a5.pdf"], "doi": []}, {"id": "c5c56e9c884ac4070880ac481909bb6b621d2a3f", "title": "Random ensemble metrics for object recognition", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126466", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126466", "http://doi.org/10.1109/ICCV.2011.6126466"]}, {"id": "930b3472592ced6665cd630be7ae57d4abb8b4b1", "title": "Development of two novel face-recognition CAPTCHAs: A security and usability study", "year": "2016", "pdf": ["https://epub.uni-regensburg.de/33570/1/CAPTCHA_Usability.pdf"], "doi": ["http://doi.org/10.1016/j.cose.2016.03.007"]}, {"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": "71dcbca34d71bda0bc41c33c04d2c1a740274feb", "title": "An Innovative Mean Approach for Plastic Surgery Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/71dc/bca34d71bda0bc41c33c04d2c1a740274feb.pdf"], "doi": []}, {"id": "c4f1fcd0a5cdaad8b920ee8188a8557b6086c1a4", "title": "The Ignorant Led by the Blind: A Hybrid Human\u2013Machine Vision System for Fine-Grained Categorization", "year": "2014", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2015/02/ijcv2014.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0698-4"]}, {"id": "59d225486161b43b7bf6919b4a4b4113eb50f039", "title": "Complex Event Recognition from Images with Few Training Examples", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.04769.pdf"], "doi": []}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "8518b501425f2975ea6dcbf1e693d41e73d0b0af", "title": "Relative Hidden Markov Models for Evaluating Motion Skill", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a548.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Relative_Hidden_Markov_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618921", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.77", "http://doi.org/10.1109/CVPR.2013.77"]}, {"id": "1d53aebe67d0e088e2da587fd6b08c8e8ed7f45c", "title": "A Selection Module for Large-Scale Face Recognition Systems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1d53/aebe67d0e088e2da587fd6b08c8e8ed7f45c.pdf"], "doi": []}, {"id": "2163c401f6345350e38b2ce6f39a42871fb22c84", "title": "On the effectiveness of soft biometrics for increasing face verification rates", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.003"]}, {"id": "d9318c7259e394b3060b424eb6feca0f71219179", "title": "Face Matching and Retrieval Using Soft Biometrics", "year": "2010", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/ParkJainFaceSoftBio_TIFS10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5471147", "http://doi.org/10.1109/TIFS.2010.2049842"]}, {"id": "3fa738ab3c79eacdbfafa4c9950ef74f115a3d84", "title": "DaMN - Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3fa7/38ab3c79eacdbfafa4c9950ef74f115a3d84.pdf"], "doi": []}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.031"]}, {"id": "51c3050fb509ca685de3d9ac2e965f0de1fb21cc", "title": "Fantope Regularization in Metric Learning", "year": "2014", "pdf": ["http://cedric.cnam.fr/~thomen/papers/Law_CVPR_2014_Fantope.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/Fantope%20Regularization%20in%20Metric%20Learning%20-%20byh.pdf", "http://www-poleia.lip6.fr/~lawm/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Law_Fantope_Regularization_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909534", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.138", "http://doi.org/10.1109/CVPR.2014.138", "https://hal.archives-ouvertes.fr/hal-01094074/document"]}, {"id": "5ad4e9f947c1653c247d418f05dad758a3f9277b", "title": "WLFDB : Weakly Labeled Face Databases", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.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": "0273414ba7d56ab9ff894959b9d46e4b2fef7fd0", "title": "Photographic home styles in Congress: a computer vision approach", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09942.pdf"], "doi": []}, {"id": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6008646", "http://doi.org/10.1109/TIP.2011.2166974", "https://www.ncbi.nlm.nih.gov/pubmed/21896385", "https://www.wikidata.org/entity/Q48113135"]}, {"id": "a30869c5d4052ed1da8675128651e17f97b87918", "title": "Fine-Grained Comparisons with Attributes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a308/69c5d4052ed1da8675128651e17f97b87918.pdf"], "doi": []}, {"id": "fdfaf46910012c7cdf72bba12e802a318b5bef5a", "title": "Computerized Face Recognition in Renaissance Portrait Art", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fdfa/f46910012c7cdf72bba12e802a318b5bef5a.pdf"], "doi": []}, {"id": "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "title": "Neural Face Editing with Intrinsic Image Disentangling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04131.pdf"], "doi": []}, {"id": "f3fcaae2ea3e998395a1443c87544f203890ae15", "title": "Robust part-based face matching with multiple templates", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553791.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553791", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553791", "http://doi.org/10.1109/FG.2013.6553791"]}, {"id": "390e212d4a874d8d2256e55fe0dee9193e4c376a", "title": "Just in Time: Controlling Temporal Performance in Crowdsourcing Competitions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/390e/212d4a874d8d2256e55fe0dee9193e4c376a.pdf"], "doi": []}, {"id": "318a81acdd15a0ab2f706b5f53ee9d4d5d86237f", "title": "Multi-label learning: a review of the state of the art and ongoing research", "year": "2014", "pdf": ["https://www.researchgate.net/profile/Sebastian_Ventura/publication/267154292_Multilabel_Learning_A_Review_of_the_State_of_The_Art_and_Ongoing_Research/links/54a6bb5f0cf257a6360a918e.pdf"], "doi": ["http://doi.org/10.1002/widm.1139"]}, {"id": "3eec9e8d5051e84624ea7e009a8947403dee99d1", "title": "Material Recognition Meets 3D Reconstruction: Novel Tools for Efficient, Automatic Acquisition Systems", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3eec/9e8d5051e84624ea7e009a8947403dee99d1.pdf"], "doi": []}, {"id": "d98a36081a434451184fa4becb59bf5ec55f3a1e", "title": "Computational face reader based on facial attribute estimation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.110"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "4568063b7efb66801e67856b3f572069e774ad33", "title": "Correspondence driven adaptation for human profile recognition", "year": "2011", "pdf": ["http://users.eecs.northwestern.edu/~mya671/mypapers/CVPR11_Yang_Zhu_Lv_Yu.pdf", "http://www.dbs.informatik.uni-muenchen.de/~yu_k/cvpr11_0712.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995481", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995481", "http://doi.org/10.1109/CVPR.2011.5995481"]}, {"id": "8fb611aca3bd8a3a0527ac0f38561a5a9a5b8483", "title": "Human face identification via comparative soft biometrics", "year": "2016", "pdf": ["http://eprints.soton.ac.uk/388765/1/eprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477246", "http://doi.org/10.1109/ISBA.2016.7477246"]}, {"id": "4b7f21b48c7e0dc7334e36108f558d54642c17c0", "title": "Describing Unseen Classes by Exemplars: Zero-Shot Learning Using Grouped Simile Ensemble", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926689.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926689", "http://doi.org/10.1109/WACV.2017.106"]}, {"id": "9fb90b8fc2439e89c83a661ba4a5ff0b4100252c", "title": "Multi-task Learning by Maximizing Statistical Dependence", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Mejjati_Multi-Task_Learning_by_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578463", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00365", "http://doi.org/10.1109/CVPR.2018.00365"]}, {"id": "66e6f08873325d37e0ec20a4769ce881e04e964e", "title": "The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding", "year": "2013", "pdf": ["http://www.cc.gatech.edu/~hays/papers/attribute_ijcv.pdf", "https://cs.brown.edu/people/gen/pub_papers/sun_attributes_ijcv.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0695-z"]}, {"id": "e10a257f1daf279e55f17f273a1b557141953ce2", "title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.001"]}, {"id": "1c4fa67f46181af06cb4b44bb5c11f8c1473e75a", "title": "A Novel Internet Image Reranking Using Query Semantic Signature and Duplicate Detection based on visual and textual content", "year": "2016", "pdf": [], "doi": []}, {"id": "71a95a05280068bba8d4138051f1f1d232e238fb", "title": "Attribute learning for image/video understanding", "year": "2015", "pdf": [], "doi": []}, {"id": "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "title": "Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/18a8/49b1f336e3c3b7c0ee311c9ccde582d7214f.pdf"], "doi": []}, {"id": "100641ed8a5472536dde53c1f50fa2dd2d4e9be9", "title": "Visual attributes for enhanced human-machine communication", "year": "2013", "pdf": ["https://filebox.ece.vt.edu/~parikh/Publications/Parikh_hum_mac_com_Allerton_2013.pdf", "https://www.cc.gatech.edu/~parikh/Publications/Parikh_hum_mac_com_Allerton_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6736651", "http://doi.org/10.1109/Allerton.2013.6736651"]}, {"id": "adf7ccb81b8515a2d05fd3b4c7ce5adf5377d9be", "title": "Apprentissage de m\u00e9trique appliqu\u00e9 \u00e0 la d\u00e9tection de changement de page Web et aux attributs relatifs", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/adf7/ccb81b8515a2d05fd3b4c7ce5adf5377d9be.pdf"], "doi": []}, {"id": "903cae123665d885aa82b7590db0d323630d8d88", "title": "Distance metric learning for image and webpage comparison. (Apprentissage de distance pour la comparaison d'images et de pages Web)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/903c/ae123665d885aa82b7590db0d323630d8d88.pdf"], "doi": []}, {"id": "d9bebdefa5135b214b9f2178c2b875b43ce6c08b", "title": "Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations", "year": "2018", "pdf": ["http://www.scitepress.org/Papers/2018/66229/66229.pdf", "https://hal.archives-ouvertes.fr/hal-01625470/file/chen_visapp2018.pdf"], "doi": ["https://doi.org/10.5220/0006622901140122"]}, {"id": "191674c64f89c1b5cba19732869aa48c38698c84", "title": "FACE IMAGE RETRIEVAL USING ATTRIBUTE-ENHANCED SPARSE CODEWORDS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1916/74c64f89c1b5cba19732869aa48c38698c84.pdf"], "doi": []}, {"id": "1939168a275013d9bc1afaefc418684caf99ba66", "title": "An associate-predict model for face recognition", "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_associate_Predict_Model.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/10/cvpr11_faceapmodel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995494", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995494", "http://doi.org/10.1109/CVPR.2011.5995494"]}, {"id": "d6cecf6c3e598dce18438dbb063d8c861e7edbf6", "title": "Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17243", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17243/16592"]}, {"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": "0830c9b9f207007d5e07f5269ffba003235e4eff", "title": "Jointly Learning Multiple Measures of Similarities from Triplet Comparisons", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01521.pdf"], "doi": []}, {"id": "65817963194702f059bae07eadbf6486f18f4a0a", "title": "WhittleSearch: Interactive Image Search with Relative Attribute Feedback", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04141.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": "8aed6ec62cfccb4dba0c19ee000e6334ec585d70", "title": "Localizing and Visualizing Relative Attributes", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8aed/6ec62cfccb4dba0c19ee000e6334ec585d70.pdf"], "doi": []}, {"id": "7b32f18a665162687059adc18f14a5196ea3ba2f", "title": "Relative Aesthetic Quality Ranking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8616426"]}, {"id": "da4170c862d8ae39861aa193667bfdbdf0ecb363", "title": "Multi-Task CNN Model for Attribute Prediction", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.00400.pdf"], "doi": []}, {"id": "d9ef1a80738bbdd35655c320761f95ee609b8f49", "title": "A Research-Face Recognition by Using Near Set Theory", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d9ef/1a80738bbdd35655c320761f95ee609b8f49.pdf"], "doi": []}, {"id": "a729d0243b1e3b055f44248a32b3caf20b7e93be", "title": "XJU1: A Chinese Ethnic Minorities Face Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7878646"]}, {"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": "55a158f4e7c38fe281d06ae45eb456e05516af50", "title": "Simile Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"], "doi": []}, {"id": "e5799fd239531644ad9270f49a3961d7540ce358", "title": "Kinship classification by modeling facial feature heredity", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/ruogu/publications/ICIP13_Kinship.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738614", "http://doi.org/10.1109/ICIP.2013.6738614"]}, {"id": "db227f72bb13a5acca549fab0dc76bce1fb3b948", "title": "Characteristic Based Image Search Using Re-Ranking Method", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e83d/6fd4502d6d31134ffddb80b6d5c752cf3123.pdf"], "doi": []}, {"id": "b34fdab6864782ce60fd90d09f5d886bd83f84f5", "title": "AL-DDCNN: a distributed crossing semantic gap learning for person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1002/cpe.3766"]}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"], "doi": []}, {"id": "54756f824befa3f0c2af404db0122f5b5bbf16e0", "title": "Statement Computer Vision \u2014 Visual Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/5475/6f824befa3f0c2af404db0122f5b5bbf16e0.pdf"], "doi": []}, {"id": "2ef51b57c4a3743ac33e47e0dc6a40b0afcdd522", "title": "Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition", "year": "2011", "pdf": ["https://arxiv.org/pdf/1108.1122.pdf"], "doi": []}, {"id": "2d84c0d96332bb4fbd8acced98e726aabbf15591", "title": "Investigating the Role of Saliency for Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2d84/c0d96332bb4fbd8acced98e726aabbf15591.pdf"], "doi": []}, {"id": "5594beb2b314f5433bd7581f64bdbc58f2933dc4", "title": "Data augmentation for unbalanced face recognition training sets", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.12.013"]}]}
\ No newline at end of file
+{"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "citations": [{"id": "55cc90968e5e6ed413dd607af2a850ac2f54e378", "title": "Active subclustering", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2014.03.008"]}, {"id": "0af48a45e723f99b712a8ce97d7826002fe4d5a5", "title": "Toward Wide-Angle Microvision Sensors", "year": "2013", "pdf": ["http://vision.seas.harvard.edu/papers/WideAngle_PAMI2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412674", "http://doi.org/10.1109/TPAMI.2013.22", "https://www.ncbi.nlm.nih.gov/pubmed/24136435", "https://www.wikidata.org/entity/Q46143127"]}, {"id": "f7de943aa75406fe5568fdbb08133ce0f9a765d4", "title": "Year 5 Deliverable Technical Report : Research Challenges in Biometrics and Indexed biography of relevant biometric research literature", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f7de/943aa75406fe5568fdbb08133ce0f9a765d4.pdf"], "doi": []}, {"id": "6b8329730b2e13178a577b878631735a1cd58a71", "title": "A Real-Time Big Data Architecture for Glasses Detection Using Computer Vision Techniques", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7300872", "http://doi.ieeecomputersociety.org/10.1109/FiCloud.2015.78", "http://doi.org/10.1109/FiCloud.2015.78"]}, {"id": "a75ee7f4c4130ef36d21582d5758f953dba03a01", "title": "Human face attributes prediction with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a75e/e7f4c4130ef36d21582d5758f953dba03a01.pdf"], "doi": []}, {"id": "8fa3478aaf8e1f94e849d7ffbd12146946badaba", "title": "Attributes for classifier feedback", "year": "2012", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=0A1B297D4CCFC00FFDCA2F5C49511979?doi=10.1.1.592.5907&rep=rep1&type=pdf", "http://courses.cs.washington.edu/courses/cse590v/13au/ParkashParikh_ECCV_2012_attributes_feedback.pdf", "http://videolectures.net/site/normal_dl/tag=725547/eccv2012_parikh_attributes_01.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_26"]}, {"id": "05b94a28a7a5eda5b87b317edb968ecf2499f614", "title": "Hyper Graph Attribute Model for Web Image Search", "year": "2016", "pdf": [], "doi": []}, {"id": "078d507703fc0ac4bf8ca758be101e75ea286c80", "title": "Large-Scale Content Based Face Image Retrieval using Attribute Enhanced Sparse", "year": "", "pdf": ["https://pdfs.semanticscholar.org/078d/507703fc0ac4bf8ca758be101e75ea286c80.pdf"], "doi": []}, {"id": "fc958c029ca92492c107a10fc982ca00a04f2a34", "title": "Survey on Supervised Method for Face Image Retrieval Based on Euclidean Distance", "year": "2014", "pdf": ["http://www.ijcat.com/archives/volume3/issue1/ijcatr03011011.pdf"], "doi": ["https://doi.org/10.7753/IJCATR0301.1011"]}, {"id": "223ec77652c268b98c298327d42aacea8f3ce23f", "title": "TR-CS-1102 Acted Facial Expressions In The Wild Database", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/223e/c77652c268b98c298327d42aacea8f3ce23f.pdf"], "doi": []}, {"id": "9d0943e5098e3a11fedc7d441a145ae1b2dac26d", "title": "Anomaly Detection via Midlevel Visual Attributes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d09/43e5098e3a11fedc7d441a145ae1b2dac26d.pdf"], "doi": []}, {"id": "bed06e7ff0b510b4a1762283640b4233de4c18e0", "title": "Face Interpretation Problems on Low Quality Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bed0/6e7ff0b510b4a1762283640b4233de4c18e0.pdf"], "doi": []}, {"id": "7f44f8a5fd48b2d70cc2f344b4d1e7095f4f1fe5", "title": "Sparse Output Coding for Scalable Visual Recognition", "year": "2015", "pdf": ["http://www.cs.cmu.edu/~epxing/papers/2015/Zhao_Xing_IJCV15.pdf"], "doi": ["http://doi.org/10.1007/s11263-015-0839-4"]}, {"id": "634541661d976c4b82d590ef6d1f3457d2857b19", "title": "Advanced Techniques for Face Recognition under Challenging Environments", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6345/41661d976c4b82d590ef6d1f3457d2857b19.pdf"], "doi": []}, {"id": "75a9d9ea6c1a5ee55fc0ccb347b263785b15ac0a", "title": "An Image Search Reranking Model based on attribute assisted hypergraph Miss", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/75a9/d9ea6c1a5ee55fc0ccb347b263785b15ac0a.pdf"], "doi": []}, {"id": "488e475eeb3bb39a145f23ede197cd3620f1d98a", "title": "Pedestrian Attribute Classification in Surveillance: Database and Evaluation", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755916"]}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.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": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.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": "8cc4a4bc7f9a989130d5ac129d24426a444fe161", "title": "Recent Advances in Zero-shot Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.04837.pdf"], "doi": []}, {"id": "fa32b29e627086d4302db4d30c07a9d11dcd6b84", "title": "Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network", "year": "2018", "pdf": ["http://www.public.asu.edu/~swang187/publications/WACV18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354123", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00019", "http://doi.org/10.1109/WACV.2018.00019"]}, {"id": "2f065b51547c671ad9267d08f9f428950849ab9f", "title": "Fetching Relevant Images and Videos in Keyword Based Search Mechanism with Hypergraph Learning and Similarity Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8494191"]}, {"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": "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "title": "Transfer learning via attributes for improved on-the-fly classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836097", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836097", "http://doi.org/10.1109/WACV.2014.6836097"]}, {"id": "2b507f659b341ed0f23106446de8e4322f4a3f7e", "title": "Deep Identity-aware Transfer of Facial Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05586.pdf"], "doi": []}, {"id": "3abc833f4d689f37cc8a28f47fb42e32deaa4b17", "title": "Large Scale Retrieval and Generation of Image Descriptions", "year": "2015", "pdf": ["http://www.cs.unc.edu/~vicente/files/ijcv_bigdata.pdf", "http://www.cs.virginia.edu/~vicente/files/ijcv_bigdata.pdf"], "doi": ["http://doi.org/10.1007/s11263-015-0840-y"]}, {"id": "2559b15f8d4a57694a0a33bdc4ac95c479a3c79a", "title": "Contextual Object Localization With Multiple Kernel Nearest Neighbor", "year": "2011", "pdf": ["http://bmcfee.github.io/papers/contextmklmnn.pdf", "http://eceweb.ucsd.edu/~gert/papers/mklmnn.pdf", "http://vision.ucsd.edu/~carolina/files/mklmnn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5556010", "http://doi.org/10.1109/TIP.2010.2068556", "https://www.ncbi.nlm.nih.gov/pubmed/20736139"]}, {"id": "bfdafe932f93b01632a5ba590627f0d41034705d", "title": "Transfer Learning for Human Action Recognition", "year": "2011", "pdf": ["http://eduardovalle.com/wordpress/wp-content/uploads/2012/05/lopes11sibgrapiTransferLearningActionRecognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6134770", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2011.41", "http://doi.org/10.1109/SIBGRAPI.2011.41"]}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373846"]}, {"id": "06f146dfcde10915d6284981b6b84b85da75acd4", "title": "Scalable Face Image Retrieval Using Attribute-Enhanced Sparse Codewords", "year": "2013", "pdf": ["http://cmlab.csie.ntu.edu.tw/~sirius42/papers/tmm12.pdf", "http://www.chennaisunday.com/IEEE%202013%20Java%20Basepaper/Scalable%20Face%20Image%20Retrieval%20using%20Attribute-Enhanced%20Sparse%20Codewords.pdf", "http://www.csie.ntu.edu.tw/~winston/papers/chen12scalable.pdf", "http://www.leonsoftsolutions.com/ieeepapers/imageprocessing/imgpro16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6419834", "http://doi.org/10.1109/TMM.2013.2242460"]}, {"id": "f663ad5467721159263c1cde261231312893f45d", "title": "UvA-DARE ( Digital Academic Repository ) Gaze Embeddings for Zero-Shot Image Classification", "year": "", "pdf": ["https://pdfs.semanticscholar.org/f663/ad5467721159263c1cde261231312893f45d.pdf"], "doi": []}, {"id": "35b3dc0e961a15a7a60b95490a989f91680acc7c", "title": "Empirical Study of Face Authentication Systems Under OSNFD Attacks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7447771", "http://doi.ieeecomputersociety.org/10.1109/TDSC.2016.2550459", "http://doi.org/10.1109/TDSC.2016.2550459"]}, {"id": "16395b40e19cbc6d5b82543039ffff2a06363845", "title": "Action Recognition in Video Using Sparse Coding and Relative Features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03222.pdf"], "doi": []}, {"id": "fec295c6b6a1795d8ccb4592603040794667dfa7", "title": "LDOP: Local Directional Order Pattern for Robust Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07441.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": "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "title": "Automated Face Recognition: Challenges and Solutions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a24/31e3b35a4a4794dc38ef16e9eec2996114a1.pdf"], "doi": []}, {"id": "eca706b4d77708452bdad1c98a23e4e88ce941ab", "title": "Multiple Continuous Virtual Paths Based Cross-View Action Recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1142/S0218001416550144"]}, {"id": "7f4bc8883c3b9872408cc391bcd294017848d0cf", "title": "The Multimodal Focused Attribute Model : A Nonparametric Bayesian Approach to Simultaneous Object Classification and Attribute Discovery", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7f4b/c8883c3b9872408cc391bcd294017848d0cf.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": "587f81ae87b42c18c565694c694439c65557d6d5", "title": "DeepFace : Face Generation using Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/587f/81ae87b42c18c565694c694439c65557d6d5.pdf"], "doi": []}, {"id": "214db8a5872f7be48cdb8876e0233efecdcb6061", "title": "Semantic-Aware Co-Indexing for Image Retrieval", "year": "2013", "pdf": ["http://users.eecs.northwestern.edu/~mya671/mypapers/ICCV13_Zhang_Yang_Wang_Lin_Tian.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhang_Semantic-Aware_Co-indexing_for_2013_ICCV_paper.pdf", "http://www.ece.northwestern.edu/~mya671/mypapers/ICCV13_Zhang_Yang_Wang_Lin_Tian.pdf", "http://www.linyq.com/ICCV13_Zhang_Yang_Wang_Lin_Tian.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7072494", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.210", "http://doi.org/10.1109/ICCV.2013.210"]}, {"id": "22a7f1aebdb57eecd64be2a1f03aef25f9b0e9a7", "title": "Attribute-restricted latent topic model for person re-identification", "year": "2012", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/person_reidentification_pr12.pdf", "https://www.ece.nus.edu.sg/stfpage/eleqiz/publications/pdf/person_reidentification_pr12.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2012.05.019"]}, {"id": "3690af0af51a067750f664c08e48b486d1cd476d", "title": "A Mixture of Two Gender Classification Experts", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6382763", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.41", "http://doi.org/10.1109/SIBGRAPI.2012.41"]}, {"id": "ef999ab2f7b37f46445a3457bf6c0f5fd7b5689d", "title": "Improving face verification in photo albums by combining facial recognition and metadata with cross-matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/001e/ad9b99ee57af44e1831be1670c40711d348d.pdf"], "doi": []}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.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": "5a93f9084e59cb9730a498ff602a8c8703e5d8a5", "title": "Face Recognition using Local Quantized Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5a93/f9084e59cb9730a498ff602a8c8703e5d8a5.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": "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": "b5747ecfa0f3be0adaad919d78763b1133c4d662", "title": "Attribute-Assisted Domain Transfer from Image to Sketch", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397022", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00066", "http://doi.org/10.1109/MIPR.2018.00066"]}, {"id": "8b1db0894a23c4d6535b5adf28692f795559be90", "title": "How Reliable are Your Visual Attributes ?", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8b1d/b0894a23c4d6535b5adf28692f795559be90.pdf"], "doi": []}, {"id": "322c063e97cd26f75191ae908f09a41c534eba90", "title": "Improving Image Classification Using Semantic Attributes", "year": "2012", "pdf": ["https://jurie.users.greyc.fr/papers/12_SEMATR_IJCV.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0529-4", "https://hal.archives-ouvertes.fr/hal-00805996/document", "https://www.wikidata.org/entity/Q50224241"]}, {"id": "3233e3a6fa5acf7939259b4e881b8e635de5cae7", "title": "Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09019.pdf"], "doi": []}, {"id": "0abfb5b89e9546f8a5c569ab35b39b888e7cea46", "title": "Toward Development of a Face Recognition System for Watchlist Surveillance", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5740925", "http://doi.org/10.1109/TPAMI.2011.68", "https://www.ncbi.nlm.nih.gov/pubmed/21422493", "https://www.wikidata.org/entity/Q48146958"]}, {"id": "a325d5ea42a0b6aeb0390318e9f65f584bd67edd", "title": "Fine-Grained Visual Comparisons with Local Learning", "year": "2014", "pdf": ["http://aronyu.io/vision/papers/cvpr14/aron-cvpr14-poster.pdf", "http://aronyu.io/vision/papers/cvpr14/aron-cvpr14.pdf", "http://www.cs.utexas.edu/~grauman/papers/yu-cvpr2014.pdf", "http://www.cs.utexas.edu/~grauman/slides/aron-cvpr14-poster.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yu_Fine-Grained_Visual_Comparisons_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909426", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.32", "http://doi.org/10.1109/CVPR.2014.32"]}, {"id": "97b8249914e6b4f8757d22da51e8347995a40637", "title": "Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos", "year": "2012", "pdf": ["http://rogerioferis.com/VisualRecognitionAndSearch2014/material/papers/FerisTransMultimedia2012.pdf", "http://rogerioferis.com/publications/FerisTransMultimedia2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6035786", "http://doi.org/10.1109/TMM.2011.2170666"]}, {"id": "ab1719f573a6c121d7d7da5053fe5f12de0182e7", "title": "Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ab17/19f573a6c121d7d7da5053fe5f12de0182e7.pdf"], "doi": []}, {"id": "aa90a466a2ff7781c36e7da7df0013aa5b117510", "title": "Image to Text Conversion: State of the Art and Extended Work", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308390", "http://doi.ieeecomputersociety.org/10.1109/AICCSA.2017.159", "http://doi.org/10.1109/AICCSA.2017.159"]}, {"id": "8910bf3a708ee31942dc1b623fcf6e7ca4438c18", "title": "RECENT PROGRESS IN ATTRIBUTES BASED LEARNING: A SURVEY", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.2316/P.2013.798-089", "http://www.actapress.com/PDFViewer.aspx?paperId=455020"]}, {"id": "c610101667a93d0beed6376dc8e53cdbab6f3674", "title": "Improving Deep Representation Learning with Complex and Multimodal Data.", "year": "2015", "pdf": [], "doi": []}, {"id": "d066575b48b552a38e63095bb1f7b56cbb1fbea4", "title": "The performance of corrected learning network for object recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359888"]}, {"id": "c175f1666f3444e407660c5935a05b2a53f346f0", "title": "Modifying the Memorability of Face", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c175/f1666f3444e407660c5935a05b2a53f346f0.pdf"], "doi": []}, {"id": "2ffcd35d9b8867a42be23978079f5f24be8d3e35", "title": "Satellite based Image Processing using Data mining", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2ffc/d35d9b8867a42be23978079f5f24be8d3e35.pdf"], "doi": []}, {"id": "9b1a70d6771547cbcf6ba646f8775614c0162aca", "title": "Combining feature extraction and expansion to improve classification based similarity learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2016.11.005", "https://www.wikidata.org/entity/Q57608462"]}, {"id": "bf665daa2efc8ea41fd4b254921dac6cee11ffa6", "title": "Attribute Recognition by Joint Recurrent Learning of Context and Correlation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237327"]}, {"id": "a6583c8daa7927eedb3e892a60fc88bdfe89a486", "title": "Toward semantic attributes in dictionary learning and non-negative matrix factorization", "year": "2016", "pdf": ["http://mediatum.ub.tum.de/doc/1315864/359237.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2016.06.020"]}, {"id": "c5fe40875358a286594b77fa23285fcfb7bda68e", "title": "Face identification using reference-based features with message passing model", "year": "2013", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2012.pdf", "http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf", "https://cis.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2012.06.032"]}, {"id": "1d7ecdcb63b20efb68bcc6fd99b1c24aa6508de9", "title": "The Hidden Sides of Names\u2014Face Modeling with First Name Attributes", "year": "2014", "pdf": ["http://web.stanford.edu/~bgirod/pdfs/ChenHuizhongTransPAMISep2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722940", "http://doi.org/10.1109/TPAMI.2014.2302443", "https://www.ncbi.nlm.nih.gov/pubmed/26352237", "https://www.wikidata.org/entity/Q40559758"]}, {"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": "da928ac611e4e14e454e0b69dfbf697f7a09fb38", "title": "Generating reliable video annotations by exploiting the crowd", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477718", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477718", "http://doi.org/10.1109/WACV.2016.7477718"]}, {"id": "cac8bb0e393474b9fb3b810c61efdbc2e2c25c29", "title": "Visual Segmentation of Simple Objects for Robots", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/67c5/e2ff4bc630dfbc0cabf812e5e927266f071c.pdf"], "doi": []}, {"id": "f6c70635241968a6d5fd5e03cde6907022091d64", "title": "Measuring Deformations and Illumination Changes in Images with Applications to Face Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f6c7/0635241968a6d5fd5e03cde6907022091d64.pdf"], "doi": []}, {"id": "2ebc35d196cd975e1ccbc8e98694f20d7f52faf3", "title": "Towards Wide-angle Micro Vision Sensors", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2ebc/35d196cd975e1ccbc8e98694f20d7f52faf3.pdf"], "doi": []}, {"id": "f28bec263804f3d6b95f78a91d1ba8630ad5b7a2", "title": "A system for modeling social traits in realistic faces with artificial intelligence", "year": "2018", "pdf": [], "doi": []}, {"id": "37278ffce3a0fe2c2bbf6232e805dd3f5267eba3", "title": "Can we still avoid automatic face detection?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04504.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": "83c1fee5ef4b7ba9d9730f3b550dd7bfbdaf591d", "title": "Real-Time 2.5D Facial Cartoon Animation Based on Pose and Expression Estimation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467233"]}, {"id": "98c5dc00bd21a39df1d4411641329bdd6928de8a", "title": "A scalable dual approach to semidefinite metric learning", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995447", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995447", "http://doi.org/10.1109/CVPR.2011.5995447"]}, {"id": "af97a51f56cd6b793cf96692931a8d1ddbe4e3cc", "title": "Learning Semantic Binary Codes by Encoding Attributes for Image Retrieval", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976768", "http://doi.org/10.1109/ICPR.2014.57"]}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"], "doi": []}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893", "http://doi.org/10.1109/TMM.2015.2420374"]}, {"id": "48f211a9764f2bf6d6dda4a467008eda5680837a", "title": "Predicting occupation via human clothing and contexts", "year": "2011", "pdf": ["http://www.lv-nus.org/%5C/papers/2011/iccv2011-occupation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126355", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126355", "http://doi.org/10.1109/ICCV.2011.6126355"]}, {"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": "46c82ea7aa2812e5adee6c4804d15cd5ecb96041", "title": "An affine view and illumination invariant iterative image matching approach for face recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/46c8/2ea7aa2812e5adee6c4804d15cd5ecb96041.pdf"], "doi": []}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"id": "2ef328e035b2b5501ceddc0052615d4cebac6f1f", "title": "Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes", "year": "2013", "pdf": ["http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2013-ICCV-Shankar-attrirbutes.pdf", "http://mi.eng.cam.ac.uk/~ss965/semantic_transform.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Shankar_Semantic_Transform_Weakly_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751154", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.52", "http://doi.org/10.1109/ICCV.2013.52"]}, {"id": "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "title": "Reference Face Graph for Face Recognition", "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/ReferenceFaceGraphforFaceRecognition14.pdf", "http://www.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://www.ee.ucr.edu/~lan/papers/AnTIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905824", "http://doi.org/10.1109/TIFS.2014.2359548"]}, {"id": "852ff0d410a25ebb7936043a05efe2469c699e4b", "title": "Learning local binary patterns for gender classification on real-world face images", "year": "2012", "pdf": ["http://repository.tudelft.nl/assets/uuid:678436fb-d859-4c4a-8842-f1b4bb5a0fe3/MS-32.590.pdf", "http://www.cin.ufpe.br/~cabm/visao/artigos/Learning%20local%20binary%20patterns%20for%20gender%20classification%20on%20real-world%20face%20images.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2011.05.016"]}, {"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": "185360fe1d024a3313042805ee201a75eac50131", "title": "Person De-Identification in Videos", "year": "2011", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Prachi09Person.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/htchiang/201203290935/Person%20De-Identification%20in%20Videos.pdf", "https://researchweb.iiit.ac.in/~prachi/personDeidentification.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5686920", "http://doi.org/10.1109/TCSVT.2011.2105551"]}, {"id": "28bc378a6b76142df8762cd3f80f737ca2b79208", "title": "Understanding Objects in Detail with Fine-Grained Attributes", "year": "2014", "pdf": ["http://people.cs.umass.edu/~smaji/papers/oid-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vedaldi_Understanding_Objects_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909858", "http://doi.org/10.1109/CVPR.2014.463", "https://www.wikidata.org/entity/Q58050718"]}, {"id": "a3e66902fd95b757edca4268c8a29258ae9b15cb", "title": "Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes", "year": "2015", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Yashaswi2015Exploring.pdf", "http://web2py.iiit.ac.in/research_centres/publications/download/inproceedings.pdf.9e10abf4c148e233.5961736861737769323031354578706c6f72696e672e706466.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/abstract170.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/paper170.pdf"], "doi": ["https://doi.org/10.5244/C.29.170"]}, {"id": "ac6a9f80d850b544a2cbfdde7002ad5e25c05ac6", "title": "Privacy-Protected Facial Biometric Verification Using Fuzzy Forest Learning", "year": "2016", "pdf": ["http://eprints.whiterose.ac.uk/104654/9/07289412.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7289412", "http://doi.org/10.1109/TFUZZ.2015.2486803"]}, {"id": "5615548157d0e23d60ba82af1a3b29814bc4b7c7", "title": "Face Recognition with Multi-stage Matching Algorithms", "year": "2015", "pdf": [], "doi": []}, {"id": "55a7286f014cc6b51a3f50b1e6bc8acc8166f231", "title": "Image Captioning and Visual Question Answering Based on Attributes and Their Related External Knowledge", "year": "2016", "pdf": [], "doi": []}, {"id": "8de5dc782178114d9424d33d9adabb2f29a1ab17", "title": "Driver Gaze Tracking and Eyes Off the Road Detection System", "year": "2015", "pdf": ["http://wineyard.in/Abstract/mtech/Embedded/2015/bp/15EM42.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7053946", "http://doi.org/10.1109/TITS.2015.2396031"]}, {"id": "778c9f88839eb26129427e1b8633caa4bd4d275e", "title": "Pose pooling kernels for sub-category recognition", "year": "2012", "pdf": ["http://www.cs.berkeley.edu/~nzhang/papers/cvpr12_ppk.pdf", "http://www.icsi.berkeley.edu/pubs/vision/ICSI_posepooling12.pdf", "https://people.eecs.berkeley.edu/~nzhang/papers/cvpr12_ppk.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248364", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248364", "http://doi.org/10.1109/CVPR.2012.6248364"]}, {"id": "4926af10d590686f4f5706b450515caaa1ddea54", "title": "Adaptive Deep Supervised Autoencoder Based Image Reconstruction for Face Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4926/af10d590686f4f5706b450515caaa1ddea54.pdf"], "doi": []}, {"id": "31ace8c9d0e4550a233b904a0e2aabefcc90b0e3", "title": "Learning Deep Face Representation", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.2802.pdf"], "doi": []}, {"id": "f558af209dd4c48e4b2f551b01065a6435c3ef33", "title": "AN ENHANCED ATTRIBUTE RERANKING DESIGN FOR WEB IMAGE SEARCH", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f558/af209dd4c48e4b2f551b01065a6435c3ef33.pdf"], "doi": []}, {"id": "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "title": "Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09518.pdf"], "doi": []}, {"id": "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "title": "Contributions to Deep Learning Models", "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/61296/MANSANET%20-%20Contributions%20to%20Deep%20Learning%20Models.pdf;jsessionid=118A8263B301DE77F2C02BDA0178D474?sequence=1", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_castellano.pdf?isAllowed=y&sequence=3", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_ingles.pdf?isAllowed=y&sequence=5", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_valenciano.pdf?isAllowed=y&sequence=4"], "doi": ["https://doi.org/10.4995/Thesis%2F10251%2F61296"]}, {"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": "913961d716a4102d3428224f999295f12438399f", "title": "A review of biometric technology along with trends and prospects", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.01.016"]}, {"id": "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "title": "Describable Visual Attributes for Face Verification and Image Search", "year": "2011", "pdf": ["http://acberg.com/papers/berg_face_attributes_pami.pdf", "http://acberg.com/papers/faceattrs_pami_submission_1.pdf", "http://neerajkumar.org/publications/base/papers/nk_pami2011_faceattrs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"id": "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "title": "Face Verification Using the LARK Representation", "year": "2011", "pdf": ["https://users.soe.ucsc.edu/~milanfar/publications/journal/TIFS_Final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5872024", "http://doi.org/10.1109/TIFS.2011.2159205"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "15a9f812e781cf85c283f7cf2aa2928b370329c5", "title": "Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7206599", "http://doi.org/10.1109/TPAMI.2015.2469281", "https://www.ncbi.nlm.nih.gov/pubmed/26959678", "https://www.wikidata.org/entity/Q38395003"]}, {"id": "c5ecbc343f26b7051bb084b10b74eeb12b39fd15", "title": "Contributions to large-scale learning for image classification. (Contributions \u00e0 l'apprentissage grande \u00e9chelle pour la classification d'images)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7f79/e78e52883994a8a843af48922980ae730e65.pdf"], "doi": []}, {"id": "477236563c6a6c6db922045453b74d3f9535bfa1", "title": "Attribute Based Image Search Re-Ranking Snehal", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3c3a/e3a2e7c3ee00f33a87a82d5783e84c3a1de2.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": "2faa09413162b0a7629db93fbb27eda5aeac54ca", "title": "Quantifying how lighting and focus affect face recognition performance", "year": "2010", "pdf": ["http://www.cs.colostate.edu/~draper/papers/beveridge_cvprw10.pdf", "http://www.cs.colostate.edu/~vision/publications/beveridge_cvprw10.pdf", "http://www.nist.gov/customcf/get_pdf.cfm?pub_id=903086", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=903086"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543228", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543228", "http://doi.org/10.1109/CVPRW.2010.5543228"]}, {"id": "1da83903c8d476c64c14d6851c85060411830129", "title": "Iterated Support Vector Machines for Distance Metric Learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00363.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": "2d71e0464a55ef2f424017ce91a6bcc6fd83f6c3", "title": "A Survey on : Image Process using Two-Stage Crawler", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/77c1/56969e3b7fbc86432c5238a95679d25ac579.pdf"], "doi": []}, {"id": "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "title": "Robust Kernel Representation With Statistical Local Features for Face Recognition", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/RKR-TNN.pdf", "https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471239", "http://doi.org/10.1109/TNNLS.2013.2245340", "https://www.ncbi.nlm.nih.gov/pubmed/24808472", "https://www.wikidata.org/entity/Q46195115"]}, {"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": "164d8909f6b7cc9d0a39eb22fe0a9b9bd0698c2f", "title": "Attribute learning using joint human and machine computation", "year": "2012", "pdf": [], "doi": []}, {"id": "8b8728edc536020bc4871dc66b26a191f6658f7c", "title": "Robust gender recognition by exploiting facial attributes dependencies", "year": "2014", "pdf": ["http://www.dia.fi.upm.es/~pcr/publications/prl2013.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2013.04.028"]}, {"id": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "e1d726d812554f2b2b92cac3a4d2bec678969368", "title": "Human Action Recognition Bases on Local Action Attributes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c134/a2441bc1f3ec6b85f22868284c279881b918.pdf"], "doi": []}, {"id": "c0270a57ad78da6c3982a4034ffa195b9e932fda", "title": "Multi-level Feature Learning for Face Recognition under Makeup Changes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961842", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.131", "http://doi.org/10.1109/FG.2017.131"]}, {"id": "82417d8ec8ac6406f2d55774a35af2a1b3f4b66e", "title": "Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8241/7d8ec8ac6406f2d55774a35af2a1b3f4b66e.pdf"], "doi": []}, {"id": "c1dfabe36a4db26bf378417985a6aacb0f769735", "title": "Describing Visual Scene through EigenMaps", "year": "", "pdf": ["https://pdfs.semanticscholar.org/c1df/abe36a4db26bf378417985a6aacb0f769735.pdf"], "doi": []}, {"id": "133dd0f23e52c4e7bf254e8849ac6f8b17fcd22d", "title": "Active Clustering with Model-Based Uncertainty Reduction", "year": "2016", "pdf": ["https://arxiv.org/pdf/1402.1783.pdf"], "doi": []}, {"id": "0163d847307fae508d8f40ad193ee542c1e051b4", "title": "Classemes and Other Classifier-Based Features for Efficient Object Categorization", "year": "2014", "pdf": ["http://www.alessandrobergamo.com/data/compact_descriptors.pdf", "http://www.alessandrobergamo.com/data/compact_descriptors_supplementary.pdf", "http://www.cs.dartmouth.edu/~aleb/data/compact_descriptors.pdf", "http://www.cs.dartmouth.edu/~aleb/data/compact_descriptors_supplementary.pdf", "http://www.cs.dartmouth.edu/~lorenzo/Papers/bt-pami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6777334", "http://doi.org/10.1109/TPAMI.2014.2313111", "https://www.ncbi.nlm.nih.gov/pubmed/26352630", "https://www.wikidata.org/entity/Q50562613"]}, {"id": "1b6394178dbc31d0867f0b44686d224a19d61cf4", "title": "EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca8e/5419fd570f19643425b24da801283b706fc1.pdf"], "doi": []}, {"id": "c697590ddd71232174072c9680adbc7a0b30c84c", "title": "Face retrieval using frequency decoded local descriptor", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.06508.pdf"], "doi": []}, {"id": "59bfeac0635d3f1f4891106ae0262b81841b06e4", "title": "Face Verification Using the LARK Face Representation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/59bf/eac0635d3f1f4891106ae0262b81841b06e4.pdf"], "doi": []}, {"id": "eba4cfd76f99159ccc0a65cab0a02db42b548d85", "title": "Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/spoken_attributes.pdf", "http://uvu.eecs.utk.edu/wp-content/uploads/2018/08/spoken_attributes.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Sadovnik_Spoken_Attributes_Mixing_2013_ICCV_paper.pdf", "https://www.cc.gatech.edu/~parikh/Publications/Sadovnik_ICCV_2013_saying_the_right_thing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751379", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.268", "http://doi.org/10.1109/ICCV.2013.268"]}, {"id": "40294254c5d1eb894665b28e009e6daa92aa943a", "title": "Donn\u00e9es multimodales pour l'analyse d'image", "year": "2010", "pdf": [], "doi": []}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "e88988f4696e7e2925ed96467fde4314bfa95eff", "title": "Fusion paradigms in cognitive technical systems for human-computer interaction", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.01.076"]}, {"id": "13f065d4e6dfe2a130bd64d73eee97d10d9f7d33", "title": "A Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371222", "http://doi.org/10.1109/DICTA.2015.7371222"]}, {"id": "5ac23ecff8ad11ba6de4ce09b058d05e1d41d01c", "title": "A hierarchical and regional deep learning architecture for image description generation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64800/1/Accepted_manuscript.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2017.09.013"]}, {"id": "99d7678039ad96ee29ab520ff114bb8021222a91", "title": "Political image analysis with deep neural networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/99d7/678039ad96ee29ab520ff114bb8021222a91.pdf"], "doi": []}, {"id": "385750bcf95036c808d63db0e0b14768463ff4c6", "title": "Autoencoding beyond pixels using a learned similarity metric", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.09300.pdf"], "doi": []}, {"id": "e5737ffc4e74374b0c799b65afdbf0304ff344cb", "title": "A literature survey on robust and efficient eye localization in real-life scenarios", "year": "2013", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pr13eye.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/ED_survey0412.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.05.009"]}, {"id": "782188821963304fb78791e01665590f0cd869e8", "title": "Automatic Spatially-Aware Fashion Concept Discovery", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01311.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": "176a3e9e118712251124c1347516a92d5e315297", "title": "Attribute-based vehicle search in crowded surveillance videos", "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1992014"]}, {"id": "247b5d69370f6e3af9f36f1f9dcf482d63f771d7", "title": "Markov chain Monte Carlo for integrated face image analysis", "year": "2014", "pdf": ["https://edoc.unibas.ch/34084/1/Schoenborn-PhD.pdf"], "doi": ["https://doi.org/10.5451/unibas-006288272"]}, {"id": "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "title": "Face Verification Based on Relational Disparity Features and Partial Least Squares Models", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_SIBGRAPI_Vareto.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097314", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.34", "http://doi.org/10.1109/SIBGRAPI.2017.34"]}, {"id": "71bbda43b97e8dc8b67b2bde3c873fa6aacd439f", "title": "A software system for automated identification and retrieval of moth images based on wing attributes", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2015.09.012"]}, {"id": "e98551055bdcf8e25e07f4ffdbf39d0a4a57bffc", "title": "Model Semantic Relations with Extended Attributes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977153", "http://doi.org/10.1109/ICPR.2014.440"]}, {"id": "50d15cb17144344bb1879c0a5de7207471b9ff74", "title": "Divide , Share , and Conquer : Multitask Attribute Learning with Selective Sharing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/50d1/5cb17144344bb1879c0a5de7207471b9ff74.pdf"], "doi": []}, {"id": "c8fc771fbc889ad70e841d93cfb7e38cfa1be1f1", "title": "Review on Textual Description of Image Contents", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c8fc/771fbc889ad70e841d93cfb7e38cfa1be1f1.pdf"], "doi": []}, {"id": "c5b4590d9c539dc893edcec2b54d1efffd221655", "title": "Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16626", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16626/16314"]}, {"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": "57c270a9f468f7129643852945cf3562cbb76e07", "title": "Multi-label convolutional neural network based pedestrian attribute classification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.07.004"]}, {"id": "556545eec370b9d300fc044a1aa63fc44fd79b0f", "title": "Comparative object similarity for improved recognition with few or no examples", "year": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2010_gangwang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539955", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5539955", "http://doi.org/10.1109/CVPR.2010.5539955"]}, {"id": "15e12d5c4d80a2b6f4d957a3ffd130564e9bab3a", "title": "2D-3D face recognition via Restricted Boltzmann Machines", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/47365/47365.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294980", "http://doi.org/10.5220/0004736505740580"]}, {"id": "2c06781ba75d51f5246d65d1acf66ab182e9bde6", "title": "Open-set face recognition across look-alike faces in real-world scenarios", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.11.002"]}, {"id": "5a34a9bb264a2594c02b5f46b038aa1ec3389072", "title": "Label-Embedding for Image Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.08677.pdf"], "doi": []}, {"id": "919d3067bce76009ce07b070a13728f549ebba49", "title": "Time Based Re-ranking for Web Image Search Ms .", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/919d/3067bce76009ce07b070a13728f549ebba49.pdf"], "doi": []}, {"id": "cf73b404f9ac98f8d5801f54ca40dd1d792c701a", "title": "A New Approach to Face Recognition Based on Generalized Hough Transform and Local Image Descriptors", "year": "2012", "pdf": [], "doi": []}, {"id": "14761b89152aa1fc280a33ea4d77b723df4e3864", "title": "Zero-Shot Learning via Visual Abstraction", "year": "2014", "pdf": ["http://research.microsoft.com/en-us/um/people/larryz/eccv2014_zsl_via_visual_abstraction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8692/86920401.pdf", "https://computing.ece.vt.edu/~santol/projects/zsl_via_visual_abstraction/eccv2014_zsl_via_visual_abstraction.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10593-2_27"]}, {"id": "784a83437b3dba49c0d7ccc10ac40497b84661a5", "title": "Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Kaneko_Generative_Attribute_Controller_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Kaneko_Generative_Attribute_Controller_2017_CVPR_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100224", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.741", "http://doi.org/10.1109/CVPR.2017.741"]}, {"id": "0fc4d0c328036cc197a48f278f7c15cb12860f3a", "title": "Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0011"]}, {"id": "2adffdffa16475ae71bb2adcf65840f01f1e53f7", "title": "Recognition improvement through the optimisation of learning instances", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0094"]}, {"id": "06e7e99c1fdb1da60bc3ec0e2a5563d05b63fe32", "title": "WhittleSearch: Image search with relative attribute feedback", "year": "2012", "pdf": ["http://www.cs.utexas.edu/~grauman/papers/whittle-search-cvpr2012.pdf", "http://www.cs.utexas.edu/~grauman/papers/whittle-search-supp-cvpr2012.pdf", "http://www.cs.utexas.edu/~grauman/papers/whittlesearch-poster-cvpr2012.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/KovashkaParikhGrauman_CVPR_2012_whittle_search.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248026", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248026", "http://doi.org/10.1109/CVPR.2012.6248026"]}, {"id": "ae753fd46a744725424690d22d0d00fb05e53350", "title": "Describing clothing by semantic attributes", "year": "2012", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/publications/ECCV2012_ClothingAttributes.pdf", "http://web.stanford.edu/~hchen2/papers/ECCV2012_ClothingAttributes.pdf", "https://pdfs.semanticscholar.org/b185/f0a39384ceb3c4923196aeed6d68830a069f.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_44"]}, {"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": "c614450c9b1d89d5fda23a54dbf6a27a4b821ac0", "title": "Face Image Retrieval of Efficient Sparse Code words and Multiple Attribute in Binning Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c614/450c9b1d89d5fda23a54dbf6a27a4b821ac0.pdf"], "doi": []}, {"id": "cf2e1ebb9609f46af6de0c15b4f48d03e37e54ba", "title": "Jointly Learning Multiple Perceptual Similarities", "year": "2015", "pdf": [], "doi": []}, {"id": "004e3292885463f97a70e1f511dc476289451ed5", "title": "Quadruplet-Wise Image Similarity Learning", "year": "2013", "pdf": ["http://webia.lip6.fr/~thomen/papers/Law_ICCV_2013_QWise.pdf", "http://www.cs.toronto.edu/~law/publications/ICCV/2013/law_iccv_2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Law_Quadruplet-Wise_Image_Similarity_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751140", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.38", "http://doi.org/10.1109/ICCV.2013.38", "https://hal.archives-ouvertes.fr/hal-01094069/document"]}, {"id": "2f59f28a1ca3130d413e8e8b59fb30d50ac020e2", "title": "Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information", "year": "2014", "pdf": ["http://pralab.diee.unica.it/sites/default/files/Satta_ICPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976781", "http://doi.org/10.1109/ICPR.2014.70"]}, {"id": "0093ace3e220869ac9aa407c7fb940ddb82c7a2b", "title": "Computer Vision", "year": "2014", "pdf": ["http://www.cs.duke.edu/courses/cps001/summer07/Lectures/Computer_Vision.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part06-probability_distributions-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part06-probability_distributions.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part14-hierarchical-dirichlet2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part18-support_vector_machines-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part21-structured-output-learning2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part07-recognition1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part18-repetition-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-13-14/lectures/cv13-part04-edge-detection.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part04-edge-detection.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part06-segmentation1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part08-recognition1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part09-recognition2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part15-local-features4-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part15-local-features4.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part19-reconstruction3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2012/lectures/ml12-part02-pde1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2012/lectures/ml12-part13-graphical_models3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2015/lectures-1/ml15-part13-graphical_models1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part03-pde2.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part09-nonlinear_svms-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part10-model_combination.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part16-graphical_models1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part18-graphical_models3-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part22-repetition-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2015/machine-learning/ml15-part13-graphical_models1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part14-deep-learning2.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part18-graphical_models4-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part04-edge-detection.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part06-segmentation1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part08-recognition1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part09-recognition2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part15-local-features4-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part15-local-features4.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part10-mixture_models2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part20-rbms.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part06-segmentation1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part09-categorization1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part12-local-features2.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part14-local-features4.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part21-repetition-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part06-segmentation1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part15-categorization4-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part15-categorization4.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part17-reconstruction1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2017/machine-learning/ml17-part03-pde2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2018/machine-learning/ml18-part01-intro-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2018/machine-learning/ml18-part04-pde3-6on1.pdf", "https://vlu.fachschaft.info/2013ws/cv.pdf", "https://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part19-reconstruction3.pdf"], "doi": ["https://doi.org/10.1007/978-0-387-31439-6"]}, {"id": "5dfebcb7bfefb1af1cfef61a151abfe98a7e7cfa", "title": "Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a779.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Wah_Attribute-Based_Detection_of_2013_CVPR_paper.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2017/04/Wah_Attribute-Based_Detection_of_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618950", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.106", "http://doi.org/10.1109/CVPR.2013.106"]}, {"id": "1e8394cc9fe7c2392aa36fb4878faf7e78bbf2de", "title": "Zero-Shot Object Recognition System Based on Topic Model", "year": "2015", "pdf": ["https://arxiv.org/pdf/1410.3748.pdf"], "doi": []}, {"id": "43476cbf2a109f8381b398e7a1ddd794b29a9a16", "title": "A Practical Transfer Learning Algorithm for Face Verification", "year": "2013", "pdf": ["http://research.microsoft.com/pubs/202192/TransferLearning.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cao_A_Practical_Transfer_2013_ICCV_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2013/01/TransferLearning.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2013/01/TransferLearningSuppl.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751510", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.398", "http://doi.org/10.1109/ICCV.2013.398"]}, {"id": "29f27448e8dd843e1c4d2a78e01caeaea3f46a2d", "title": "Similar gait action recognition using an inertial sensor", "year": "2015", "pdf": ["http://www.am.sanken.osaka-u.ac.jp/~makihara/pdf/pr_2015Apr.pdf", "https://www.researchgate.net/profile/Ngo_Thanh_Trung/publication/270053105_Similar_gait_action_recognition_using_an_inertial_sensor/links/550f6a8b0cf2752610a03834.pdf?origin=publication_list"], "doi": ["http://doi.org/10.1016/j.patcog.2014.10.012"]}, {"id": "90e56a8515c8c2ff16f5c79c69811e283be852c7", "title": "Boosting face recognition via neural Super-Resolution", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/90e5/6a8515c8c2ff16f5c79c69811e283be852c7.pdf"], "doi": []}, {"id": "9c1b526dc9adba029809e45693f758c2af913f60", "title": "Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08254.pdf"], "doi": []}, {"id": "1b4f6f73c70353869026e5eec1dd903f9e26d43f", "title": "Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels", "year": "2016", "pdf": ["https://arxiv.org/pdf/1501.06202.pdf"], "doi": []}, {"id": "4b60e45b6803e2e155f25a2270a28be9f8bec130", "title": "Attribute based object identification", "year": "2013", "pdf": ["http://homes.cs.washington.edu/~sunyuyin/paper/icra13.pdf", "http://research.cs.washington.edu/istc/lfb/paper/icra13.pdf", "http://www.eng.uwaterloo.ca/~jbergstr/files/nips_dl_2012/Paper%2030.pdf", "https://rse-lab.cs.washington.edu/papers/attribute-objects-icra-2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6630858", "http://doi.org/10.1109/ICRA.2013.6630858"]}, {"id": "08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7", "title": "Understanding Kin Relationships in a Photo", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151163"]}, {"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": "53509017a25ac074b5010bb1cdba293cdf399e9b", "title": "Human Action Recognition with Attribute Regularization", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6327994", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.41", "http://doi.org/10.1109/AVSS.2012.41"]}, {"id": "1b69b860e22278a6f482507b8ce879082dd00c44", "title": "Inferring Analogous Attributes", "year": "2014", "pdf": ["http://vision.cs.utexas.edu/projects/inferring_analogous_attribute/inferring-analogous-attributes-poster.pdf", "http://vision.cs.utexas.edu/projects/inferring_analogous_attribute/inferring-analogous-attributes.pdf", "http://www.cs.utexas.edu/~grauman/papers/chen-attributes-cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Inferring_Analogous_Attributes_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909427", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.33", "http://doi.org/10.1109/CVPR.2014.33"]}, {"id": "0700d36427b3a6cb6223a639ffea11570400ab25", "title": "Doing the Best We Can with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16962", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16962/16273"]}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274747", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2481396", "http://doi.org/10.1109/TPAMI.2015.2481396", "https://www.ncbi.nlm.nih.gov/pubmed/26415152"]}, {"id": "218ce079b9e64288faf20a87043dc32884105102", "title": "A survey: Verification of family relationship from parents and child facial images", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6804516"]}, {"id": "78fdf2b98cf6380623b0e20b0005a452e736181e", "title": "Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/78fd/f2b98cf6380623b0e20b0005a452e736181e.pdf"], "doi": []}, {"id": "2e475f1d496456831599ce86d8bbbdada8ee57ed", "title": "Groupsourcing: Team Competition Designs for Crowdsourcing", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2741097"]}, {"id": "743e582c3e70c6ec07094887ce8dae7248b970ad", "title": "Face Recognition based on Deep Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/743e/582c3e70c6ec07094887ce8dae7248b970ad.pdf"], "doi": []}, {"id": "1910f5f7ac81d4fcc30284e88dee3537887acdf3", "title": "Semantic Based Hypergraph Reranking Model for Web Image Search", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1910/f5f7ac81d4fcc30284e88dee3537887acdf3.pdf"], "doi": []}, {"id": "d2d9612d3d67582d0cd7c1833599b88d84288fab", "title": "A comparison of deep multilayer networks and Markov random field matching models for face recognition in the wild", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0222"]}, {"id": "ccf0324f4115687a844a6df6a87bbba150adc10b", "title": "Interactive image search with attributes", "year": "2014", "pdf": [], "doi": []}, {"id": "290136947fd44879d914085ee51d8a4f433765fa", "title": "On a taxonomy of facial features", "year": "2010", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KlareJain_TaxonomyFacialFeatures_BTAS10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634533", "http://doi.org/10.1109/BTAS.2010.5634533"]}, {"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": "d3409f66d35f5828affda26fc3416771eb8154b1", "title": "Verification of family relation from parents and child facial images", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981146"]}, {"id": "b7fa06b76f4b9263567875b2988fb7bbc753e69f", "title": "Low Resolution Face Recognition Across Variations in Pose and Illumination", "year": "2016", "pdf": ["http://www.ee.iisc.ac.in/new/people/faculty/soma.biswas/Papers/mudunuri_pami2016_fr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208853", "http://doi.org/10.1109/TPAMI.2015.2469282", "https://www.ncbi.nlm.nih.gov/pubmed/27046843", "https://www.wikidata.org/entity/Q50674123"]}, {"id": "2e0f5e72ad893b049f971bc99b67ebf254e194f7", "title": "Apparel classification with style", "year": "2012", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00974.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37447-0_25"]}, {"id": "01e12be4097fa8c94cabeef0ad61498c8e7762f2", "title": "Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a644.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Biswas_Simultaneous_Active_Learning_2013_CVPR_paper.pdf", "http://www.umiacs.umd.edu/~arijit/relative_attribute_classifier_feedback.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/BiswasParikh_CVPR_2013_active_attributes_feedback.pdf", "https://www.cc.gatech.edu/~parikh/Publications/BiswasParikh_CVPR_2013_active_attributes_feedback_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618933", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.89", "http://doi.org/10.1109/CVPR.2013.89"]}, {"id": "0d538084f664b4b7c0e11899d08da31aead87c32", "title": "Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction", "year": "2013", "pdf": ["http://people.eecs.berkeley.edu/~nzhang/papers/dpd_poster_Ning.pdf", "http://www.cs.berkeley.edu/~nzhang/papers/iccv13_dpd.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhang_Deformable_Part_Descriptors_2013_ICCV_paper.pdf", "https://people.eecs.berkeley.edu/~nzhang/papers/iccv13_dpd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751200", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.96", "http://doi.org/10.1109/ICCV.2013.96"]}, {"id": "aeff403079022683b233decda556a6aee3225065", "title": "DeepFace: Face Generation using Deep Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01876.pdf"], "doi": []}, {"id": "9aab33ce8d6786b3b77900a9b25f5f4577cea461", "title": "Automatic Semantic Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961739", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.31", "http://doi.org/10.1109/FG.2017.31"]}, {"id": "a3ebacd8bcbc7ddbd5753935496e22a0f74dcf7b", "title": "First International Workshop on Adaptive Shot Learning for Gesture Understanding and Production ASL4GUP 2017 Held in conjunction with IEEE FG 2017, in May 30, 2017, Washington DC, USA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a3eb/acd8bcbc7ddbd5753935496e22a0f74dcf7b.pdf"], "doi": []}, {"id": "4e343c66c5fe7426132869d552f0f205d1bc5307", "title": "Automatic Image Attribute Selection for Zero-Shot Learning of Object Categories", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977165", "http://doi.org/10.1109/ICPR.2014.452"]}, {"id": "6baaa8b763cc5553715766e7fbe7abb235fae33c", "title": "Facial Attributes Classification Using Multi-task Representation Learning", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Ehrlich_Facial_Attributes_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789589", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.99", "http://doi.org/10.1109/CVPRW.2016.99"]}, {"id": "f26097a1a479fb6f32b27a93f8f32609cfe30fdc", "title": "What is the Best Way for Extracting Meaningful Attributes from Pictures?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.04957.pdf"], "doi": []}, {"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": "7ab930146f4b5946ec59459f8473c700bcc89233", "title": "Feature ranking for multi-label classification using Markov Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07464.pdf"], "doi": []}, {"id": "aafb271684a52a0b23debb3a5793eb618940c5dd", "title": "Hierarchical semantic indexing for large scale image retrieval", "year": "2011", "pdf": ["http://acberg.com/papers/0857.pdf", "http://acberg.com/papers/hierarchical_semantic_indexing.pdf", "http://cs.stanford.edu/groups/vision/documents/DengBergFei-Fei_CVPR2011_supp.pdf", "http://vision.stanford.edu/documents/DengBergFei-Fei_CVPR2011_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995516", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995516", "http://doi.org/10.1109/CVPR.2011.5995516"]}, {"id": "936c7406de1dfdd22493785fc5d1e5614c6c2882", "title": "Detecting Visual Text", "year": "2012", "pdf": ["http://www.umiacs.umd.edu/~amit/Papers/goyalDescTextNAACL12.pdf", "http://www.umiacs.umd.edu/~hal/docs/daume12desctext.pdf"], "doi": ["http://www.aclweb.org/anthology/N12-1094", "http://aclweb.org/anthology/N12-1094"]}, {"id": "be437b53a376085b01ebd0f4c7c6c9e40a4b1a75", "title": "Face Recognition and Retrieval Using Cross Age Reference Coding", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/be43/7b53a376085b01ebd0f4c7c6c9e40a4b1a75.pdf"], "doi": []}, {"id": "89de30a75d3258816c2d4d5a733d2bef894b66b9", "title": "Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training", "year": "2015", "pdf": ["http://zhqiang.org/wp-content/uploads/2014/10/relative_hmm_pami.pdf", "https://www.computer.org/csdl/trans/tp/2015/06/06915721.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915721", "http://doi.org/10.1109/TPAMI.2014.2361121", "https://www.ncbi.nlm.nih.gov/pubmed/26357343", "https://www.wikidata.org/entity/Q40552833"]}, {"id": "d61578468d267c2d50672077918c1cda9b91429b", "title": "Face Image Retrieval Using Pose Specific Set Sparse Feature Representation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d615/78468d267c2d50672077918c1cda9b91429b.pdf"], "doi": []}, {"id": "68bec0e90fb276d9ee9dde445aaf50255e85a116", "title": "A Review on Attribute Based Image Search Reranking", "year": "2016", "pdf": [], "doi": []}, {"id": "5502dfe47ac26e60e0fb25fc0f810cae6f5173c0", "title": "Affordance Prediction via Learned Object Attributes", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5502/dfe47ac26e60e0fb25fc0f810cae6f5173c0.pdf"], "doi": []}, {"id": "6a38c575733b0f7118970238e8f9b480522a2dbc", "title": "Random Forests Can Hash", "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.5083.pdf"], "doi": []}, {"id": "d8b4698d5dcdcf25c6d639bd5ac6073a839bc4e1", "title": "Weakly Supervised Models For Recognizing And Clustering High-level Complex Events In Video", "year": "2014", "pdf": [], "doi": []}, {"id": "9854145f2f64d52aac23c0301f4bb6657e32e562", "title": "An Improved Face Verification Approach Based on Speedup Robust Features and Pairwise Matching", "year": "2013", "pdf": ["http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/technical/114953_2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656208", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.57", "http://doi.org/10.1109/SIBGRAPI.2013.57"]}, {"id": "d065996d413814b58092d4b881f3ac6e9d6b15d8", "title": "CBR TECHNIQUES WITH SPARSE CODEWORDS TO RETRIEVE FACE IMAGE", "year": "2015", "pdf": [], "doi": []}, {"id": "4adca62f888226d3a16654ca499bf2a7d3d11b71", "title": "Models of Semantic Representation with Visual Attributes", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5525/119941f6710fcde85cf71cc2ca25484e78c6.pdf"], "doi": []}, {"id": "54aacc196ffe49b3450059fccdf7cd3bb6f6f3c3", "title": "A joint learning framework for attribute models and object descriptions", "year": "2011", "pdf": ["http://www.cs.toronto.edu/~vnair/iccv11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126373", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126373", "http://doi.org/10.1109/ICCV.2011.6126373"]}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"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": "5666ed763698295e41564efda627767ee55cc943", "title": "Relatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations", "year": "2014", "pdf": ["http://i.cs.hku.hk/~kykwong/publications/zkuang_ijcv15.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0783-8"]}, {"id": "09137e3c267a3414314d1e7e4b0e3a4cae801f45", "title": "Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06078.pdf"], "doi": []}, {"id": "3291aff20c171927eed7896eba659ce599ccb666", "title": "F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.05035.pdf"], "doi": []}, {"id": "e1f790bbedcba3134277f545e56946bc6ffce48d", "title": "Image Retrieval Using Attribute Enhanced Sparse Code Words", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e1f7/90bbedcba3134277f545e56946bc6ffce48d.pdf"], "doi": []}, {"id": "5305bfdff39ae74d2958ba28d42c16495ce2ff86", "title": "Regularized Least-Squares Coding with Unlabeled Dictionary for Image-Set Based Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008128", "http://doi.org/10.1109/DICTA.2014.7008128"]}, {"id": "1617f56c86bf8ea61de62062a97961d23fcf03d3", "title": "Facial Similarity Learning with Humans in the Loop", "year": "2015", "pdf": ["https://page-one.springer.com/pdf/preview/10.1007/s11390-015-1540-3"], "doi": ["http://doi.org/10.1007/s11390-015-1540-3"]}, {"id": "6fe2efbcb860767f6bb271edbb48640adbd806c3", "title": "Soft Biometrics; Human Identification Using Comparative Descriptions", "year": "2014", "pdf": ["http://eprints.soton.ac.uk/359808/1/version9.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654143", "http://doi.org/10.1109/TPAMI.2013.219", "https://www.ncbi.nlm.nih.gov/pubmed/26353282", "https://www.wikidata.org/entity/Q38429422"]}, {"id": "44b30a1048465cd56904cdcbec8e79dffab693bd", "title": "Semantic based Query Approach For Web Image Search Through reranking algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/44b3/0a1048465cd56904cdcbec8e79dffab693bd.pdf"], "doi": []}, {"id": "ca447d6479554b27b4afbd0fd599b2ed39f2c335", "title": "Automatic Video Genre Classification Using Multiple SVM Votes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977171", "http://doi.org/10.1109/ICPR.2014.459"]}, {"id": "e0679f8cf0029c04a95d966f562eb0bac3145adf", "title": "Harnessing auxiliary information : New methods to improve person identification", "year": "2015", "pdf": [], "doi": []}, {"id": "3c8da376576938160cbed956ece838682fa50e9f", "title": "Aiding face recognition with social context association rule based re-ranking", "year": "2014", "pdf": ["http://shodhganga.inflibnet.ac.in/bitstream/10603/49167/11/11_chapter%204.pdf", "http://shodhganga.inflibnet.ac.in:8080/jspui/bitstream/10603/49167/11/11_chapter%204.pdf", "http://www.iab-rubric.org/papers/Face-Context.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996266", "http://doi.org/10.1109/BTAS.2014.6996266"]}, {"id": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "042825549296ea419d95fcf0b5e71f72070a5f0d", "title": "Face Recognition from Caption-Based Supervision", "year": "2011", "pdf": ["http://eprints.pascal-network.org/archive/00008397/01/paper.pdf", "http://lear.inrialpes.fr/pubs/2010/GMVS10b/paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01053.pdf", "https://hal.inria.fr/inria-00522185/file/paper.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/guillaumin10tr.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/guillaumin12ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-011-0447-x"]}, {"id": "09d8c49197a885299bd18fdce9764ed66187b83d", "title": "How to predict the global instantaneous feeling induced by a facial picture", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.image.2015.04.002", "https://hal.archives-ouvertes.fr/hal-01198718/document"]}, {"id": "133f01aec1534604d184d56de866a4bd531dac87", "title": "Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5674057"]}, {"id": "5e6ba16cddd1797853d8898de52c1f1f44a73279", "title": "Face Identification with Second-Order Pooling", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6818.pdf"], "doi": []}, {"id": "31697737707d7f661cbc6785b76cf9a79fee3ccd", "title": "A Semantical & Analytical Approach for Zero Shot Gesture Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961823", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.100", "http://doi.org/10.1109/FG.2017.100"]}, {"id": "2b6f6800bcb7dbf09e1caac725f39ed14bb7db50", "title": "Driver Gaze Tracking and Eyes of the Road Detection System", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2b6f/6800bcb7dbf09e1caac725f39ed14bb7db50.pdf"], "doi": []}, {"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": "21e828071249d25e2edaca0596e27dcd63237346", "title": "Scalable Face Image Retrieval with Identity-Based Quantization and Multireference Reranking", "year": "2010", "pdf": ["http://research.microsoft.com/en-us/um/people/jiansun/papers/cvpr10_facesearch.pdf", "http://research.microsoft.com/pubs/155719/face-pami.pdf", "http://www.jiansun.org/papers/CVPR10_FaceSearch.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2010/06/cvpr2010.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2011/10/face-pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871641", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.111", "http://doi.org/10.1109/TPAMI.2011.111", "https://www.ncbi.nlm.nih.gov/pubmed/21646678"]}, {"id": "f4ebbeb77249d1136c355f5bae30f02961b9a359", "title": "Human Computation for Attribute and Attribute Value Acquisition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f4eb/beb77249d1136c355f5bae30f02961b9a359.pdf"], "doi": []}, {"id": "6acb911d57720367d1ae7b9bce8ab9f9dcd9aadb", "title": "A region-based image caption generator with refined descriptions", "year": "2018", "pdf": ["http://nrl.northumbria.ac.uk/31442/1/journal_optimized_revised%20(003).pdf", "https://ueaeprints.uea.ac.uk/64124/1/Accepted_manuscript.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2017.07.014"]}, {"id": "458677de7910a5455283a2be99f776a834449f61", "title": "Face Image Retrieval Using Facial Attributes By K-Means", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4586/77de7910a5455283a2be99f776a834449f61.pdf"], "doi": []}, {"id": "a646319975ae38081b3788e9241917f1b096a95f", "title": "Towards Scalable Analysis of Images and Videos", "year": "2014", "pdf": [], "doi": []}, {"id": "ab8f9a6bd8f582501c6b41c0e7179546e21c5e91", "title": "Nonparametric Face Verification Using a Novel Face Representation", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ab8f/9a6bd8f582501c6b41c0e7179546e21c5e91.pdf"], "doi": []}, {"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": "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": "36cf96fe11a2c1ea4d999a7f86ffef6eea7b5958", "title": "RGB-D Face Recognition With Texture and Attribute Features", "year": "2014", "pdf": ["http://www.iab-rubric.org/papers/RGBD-Face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868224", "http://doi.org/10.1109/TIFS.2014.2343913"]}, {"id": "40033c6a0b534a6023a78ee2a144edd7f10fa696", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26454196", "https://doi.org/10.1016/j.forsciint.2015.09.002"]}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "c63a565dcf3114579e555feda498de6a0563d698", "title": "Attribute Sparse Coding (ASC\u2019s) for Content-Based Image Retrieval (CBIR)", "year": "2014", "pdf": [], "doi": []}, {"id": "1d3733e1a4b9d3e5b95fb7cc135a0819cba90c22", "title": "Linear subspace methods in face recognition", "year": "2011", "pdf": ["http://eprints.nottingham.ac.uk/12330/1/thesis_final.pdf"], "doi": ["http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548966"]}, {"id": "4f591e243a8f38ee3152300bbf42899ac5aae0a5", "title": "Understanding Higher-Order Shape via 3D Shape Attributes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4f59/1e243a8f38ee3152300bbf42899ac5aae0a5.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.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": "79dc84a3bf76f1cb983902e2591d913cee5bdb0e", "title": "Grounded Compositional Semantics for Finding and Describing Images with Sentences", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1e9e/87fc99430a82621810b3ce7db51e339be315.pdf"], "doi": []}, {"id": "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "title": "Compare and Contrast: Learning Prominent Visual Differences", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00112.pdf"], "doi": []}, {"id": "9e9052256442f4e254663ea55c87303c85310df9", "title": "On Attribute-assisted Reranking for Image Search", "year": "", "pdf": ["https://pdfs.semanticscholar.org/9e90/52256442f4e254663ea55c87303c85310df9.pdf"], "doi": []}, {"id": "0eed55ea9f401f25e1474cdbaf09367f44b4f490", "title": "High-level attributes modeling for indoor scenes classification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2013.05.032"]}, {"id": "424e52158b43e40f356af7eafb35c91a9e13db30", "title": "Impact Factor : 3 . 449 ( ISRA ) , Impact Factor : 2 .", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/424e/52158b43e40f356af7eafb35c91a9e13db30.pdf"], "doi": []}, {"id": "94a7c97d1e3eb5dbfb20b180780451486597a9be", "title": "Facial attributes for active authentication on mobile devices", "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/attrspaper_final.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.004"]}, {"id": "fb4545782d9df65d484009558e1824538030bbb1", "title": "Learning Visual Patterns: Imposing Order on Objects, Trajectories and Networks", "year": "2011", "pdf": ["http://drum.lib.umd.edu/bitstream/handle/1903/11691/Farrell_umd_0117E_12105.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.base-search.net/Record/4de2baebc2f567f134ca5e47dd8a047183007d938add11de453483c018f109fc"]}, {"id": "3b9d94752f8488106b2c007e11c193f35d941e92", "title": "Appearance , Visual and Social Ensembles for Face Recognition in Personal Photo Collections", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3b9d/94752f8488106b2c007e11c193f35d941e92.pdf"], "doi": []}, {"id": "9eef060f351d2a107bd7eb5b49d67653a4ffa38b", "title": "Attribute-correlated local regions for deep relative attributes learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f88/d3189723669f957d83ad542ac5c2341c37a5.pdf"], "doi": []}, {"id": "c5c56e9c884ac4070880ac481909bb6b621d2a3f", "title": "Random ensemble metrics for object recognition", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126466", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126466", "http://doi.org/10.1109/ICCV.2011.6126466"]}, {"id": "930b3472592ced6665cd630be7ae57d4abb8b4b1", "title": "Development of two novel face-recognition CAPTCHAs: A security and usability study", "year": "2016", "pdf": ["https://epub.uni-regensburg.de/33570/1/CAPTCHA_Usability.pdf"], "doi": ["http://doi.org/10.1016/j.cose.2016.03.007"]}, {"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": "71dcbca34d71bda0bc41c33c04d2c1a740274feb", "title": "An Innovative Mean Approach for Plastic Surgery Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/71dc/bca34d71bda0bc41c33c04d2c1a740274feb.pdf"], "doi": []}, {"id": "c4f1fcd0a5cdaad8b920ee8188a8557b6086c1a4", "title": "The Ignorant Led by the Blind: A Hybrid Human\u2013Machine Vision System for Fine-Grained Categorization", "year": "2014", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2015/02/ijcv2014.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0698-4"]}, {"id": "59d225486161b43b7bf6919b4a4b4113eb50f039", "title": "Complex Event Recognition from Images with Few Training Examples", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.04769.pdf"], "doi": []}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "8518b501425f2975ea6dcbf1e693d41e73d0b0af", "title": "Relative Hidden Markov Models for Evaluating Motion Skill", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a548.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Relative_Hidden_Markov_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618921", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.77", "http://doi.org/10.1109/CVPR.2013.77"]}, {"id": "1d53aebe67d0e088e2da587fd6b08c8e8ed7f45c", "title": "A Selection Module for Large-Scale Face Recognition Systems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1d53/aebe67d0e088e2da587fd6b08c8e8ed7f45c.pdf"], "doi": []}, {"id": "2163c401f6345350e38b2ce6f39a42871fb22c84", "title": "On the effectiveness of soft biometrics for increasing face verification rates", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.003"]}, {"id": "d9318c7259e394b3060b424eb6feca0f71219179", "title": "Face Matching and Retrieval Using Soft Biometrics", "year": "2010", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/ParkJainFaceSoftBio_TIFS10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5471147", "http://doi.org/10.1109/TIFS.2010.2049842"]}, {"id": "3fa738ab3c79eacdbfafa4c9950ef74f115a3d84", "title": "DaMN - Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3fa7/38ab3c79eacdbfafa4c9950ef74f115a3d84.pdf"], "doi": []}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.031"]}, {"id": "51c3050fb509ca685de3d9ac2e965f0de1fb21cc", "title": "Fantope Regularization in Metric Learning", "year": "2014", "pdf": ["http://cedric.cnam.fr/~thomen/papers/Law_CVPR_2014_Fantope.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/Fantope%20Regularization%20in%20Metric%20Learning%20-%20byh.pdf", "http://www-poleia.lip6.fr/~lawm/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Law_Fantope_Regularization_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909534", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.138", "http://doi.org/10.1109/CVPR.2014.138", "https://hal.archives-ouvertes.fr/hal-01094074/document"]}, {"id": "5ad4e9f947c1653c247d418f05dad758a3f9277b", "title": "WLFDB : Weakly Labeled Face Databases", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.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": "0273414ba7d56ab9ff894959b9d46e4b2fef7fd0", "title": "Photographic home styles in Congress: a computer vision approach", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09942.pdf"], "doi": []}, {"id": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6008646", "http://doi.org/10.1109/TIP.2011.2166974", "https://www.ncbi.nlm.nih.gov/pubmed/21896385", "https://www.wikidata.org/entity/Q48113135"]}, {"id": "a30869c5d4052ed1da8675128651e17f97b87918", "title": "Fine-Grained Comparisons with Attributes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a308/69c5d4052ed1da8675128651e17f97b87918.pdf"], "doi": []}, {"id": "fdfaf46910012c7cdf72bba12e802a318b5bef5a", "title": "Computerized Face Recognition in Renaissance Portrait Art", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fdfa/f46910012c7cdf72bba12e802a318b5bef5a.pdf"], "doi": []}, {"id": "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "title": "Neural Face Editing with Intrinsic Image Disentangling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04131.pdf"], "doi": []}, {"id": "f3fcaae2ea3e998395a1443c87544f203890ae15", "title": "Robust part-based face matching with multiple templates", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553791.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553791", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553791", "http://doi.org/10.1109/FG.2013.6553791"]}, {"id": "390e212d4a874d8d2256e55fe0dee9193e4c376a", "title": "Just in Time: Controlling Temporal Performance in Crowdsourcing Competitions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/390e/212d4a874d8d2256e55fe0dee9193e4c376a.pdf"], "doi": []}, {"id": "318a81acdd15a0ab2f706b5f53ee9d4d5d86237f", "title": "Multi-label learning: a review of the state of the art and ongoing research", "year": "2014", "pdf": ["https://www.researchgate.net/profile/Sebastian_Ventura/publication/267154292_Multilabel_Learning_A_Review_of_the_State_of_The_Art_and_Ongoing_Research/links/54a6bb5f0cf257a6360a918e.pdf"], "doi": ["http://doi.org/10.1002/widm.1139"]}, {"id": "3eec9e8d5051e84624ea7e009a8947403dee99d1", "title": "Material Recognition Meets 3D Reconstruction: Novel Tools for Efficient, Automatic Acquisition Systems", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3eec/9e8d5051e84624ea7e009a8947403dee99d1.pdf"], "doi": []}, {"id": "d98a36081a434451184fa4becb59bf5ec55f3a1e", "title": "Computational face reader based on facial attribute estimation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.110"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "4568063b7efb66801e67856b3f572069e774ad33", "title": "Correspondence driven adaptation for human profile recognition", "year": "2011", "pdf": ["http://users.eecs.northwestern.edu/~mya671/mypapers/CVPR11_Yang_Zhu_Lv_Yu.pdf", "http://www.dbs.informatik.uni-muenchen.de/~yu_k/cvpr11_0712.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995481", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995481", "http://doi.org/10.1109/CVPR.2011.5995481"]}, {"id": "8fb611aca3bd8a3a0527ac0f38561a5a9a5b8483", "title": "Human face identification via comparative soft biometrics", "year": "2016", "pdf": ["http://eprints.soton.ac.uk/388765/1/eprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477246", "http://doi.org/10.1109/ISBA.2016.7477246"]}, {"id": "4b7f21b48c7e0dc7334e36108f558d54642c17c0", "title": "Describing Unseen Classes by Exemplars: Zero-Shot Learning Using Grouped Simile Ensemble", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926689.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926689", "http://doi.org/10.1109/WACV.2017.106"]}, {"id": "9fb90b8fc2439e89c83a661ba4a5ff0b4100252c", "title": "Multi-task Learning by Maximizing Statistical Dependence", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Mejjati_Multi-Task_Learning_by_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578463", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00365", "http://doi.org/10.1109/CVPR.2018.00365"]}, {"id": "66e6f08873325d37e0ec20a4769ce881e04e964e", "title": "The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding", "year": "2013", "pdf": ["http://www.cc.gatech.edu/~hays/papers/attribute_ijcv.pdf", "https://cs.brown.edu/people/gen/pub_papers/sun_attributes_ijcv.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0695-z"]}, {"id": "e10a257f1daf279e55f17f273a1b557141953ce2", "title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.001"]}, {"id": "1c4fa67f46181af06cb4b44bb5c11f8c1473e75a", "title": "A Novel Internet Image Reranking Using Query Semantic Signature and Duplicate Detection based on visual and textual content", "year": "2016", "pdf": [], "doi": []}, {"id": "71a95a05280068bba8d4138051f1f1d232e238fb", "title": "Attribute learning for image/video understanding", "year": "2015", "pdf": [], "doi": []}, {"id": "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "title": "Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/18a8/49b1f336e3c3b7c0ee311c9ccde582d7214f.pdf"], "doi": []}, {"id": "100641ed8a5472536dde53c1f50fa2dd2d4e9be9", "title": "Visual attributes for enhanced human-machine communication", "year": "2013", "pdf": ["https://filebox.ece.vt.edu/~parikh/Publications/Parikh_hum_mac_com_Allerton_2013.pdf", "https://www.cc.gatech.edu/~parikh/Publications/Parikh_hum_mac_com_Allerton_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6736651", "http://doi.org/10.1109/Allerton.2013.6736651"]}, {"id": "adf7ccb81b8515a2d05fd3b4c7ce5adf5377d9be", "title": "Apprentissage de m\u00e9trique appliqu\u00e9 \u00e0 la d\u00e9tection de changement de page Web et aux attributs relatifs", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/adf7/ccb81b8515a2d05fd3b4c7ce5adf5377d9be.pdf"], "doi": []}, {"id": "903cae123665d885aa82b7590db0d323630d8d88", "title": "Distance metric learning for image and webpage comparison. (Apprentissage de distance pour la comparaison d'images et de pages Web)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/903c/ae123665d885aa82b7590db0d323630d8d88.pdf"], "doi": []}, {"id": "d9bebdefa5135b214b9f2178c2b875b43ce6c08b", "title": "Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations", "year": "2018", "pdf": ["http://www.scitepress.org/Papers/2018/66229/66229.pdf", "https://hal.archives-ouvertes.fr/hal-01625470/file/chen_visapp2018.pdf"], "doi": ["https://doi.org/10.5220/0006622901140122"]}, {"id": "191674c64f89c1b5cba19732869aa48c38698c84", "title": "FACE IMAGE RETRIEVAL USING ATTRIBUTE-ENHANCED SPARSE CODEWORDS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1916/74c64f89c1b5cba19732869aa48c38698c84.pdf"], "doi": []}, {"id": "1939168a275013d9bc1afaefc418684caf99ba66", "title": "An associate-predict model for face recognition", "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_associate_Predict_Model.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/10/cvpr11_faceapmodel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995494", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995494", "http://doi.org/10.1109/CVPR.2011.5995494"]}, {"id": "d6cecf6c3e598dce18438dbb063d8c861e7edbf6", "title": "Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17243", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17243/16592"]}, {"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": "0830c9b9f207007d5e07f5269ffba003235e4eff", "title": "Jointly Learning Multiple Measures of Similarities from Triplet Comparisons", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01521.pdf"], "doi": []}, {"id": "65817963194702f059bae07eadbf6486f18f4a0a", "title": "WhittleSearch: Interactive Image Search with Relative Attribute Feedback", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04141.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": "8aed6ec62cfccb4dba0c19ee000e6334ec585d70", "title": "Localizing and Visualizing Relative Attributes", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8aed/6ec62cfccb4dba0c19ee000e6334ec585d70.pdf"], "doi": []}, {"id": "7b32f18a665162687059adc18f14a5196ea3ba2f", "title": "Relative Aesthetic Quality Ranking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8616426"]}, {"id": "da4170c862d8ae39861aa193667bfdbdf0ecb363", "title": "Multi-Task CNN Model for Attribute Prediction", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.00400.pdf"], "doi": []}, {"id": "d9ef1a80738bbdd35655c320761f95ee609b8f49", "title": "A Research-Face Recognition by Using Near Set Theory", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d9ef/1a80738bbdd35655c320761f95ee609b8f49.pdf"], "doi": []}, {"id": "a729d0243b1e3b055f44248a32b3caf20b7e93be", "title": "XJU1: A Chinese Ethnic Minorities Face Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7878646"]}, {"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": "55a158f4e7c38fe281d06ae45eb456e05516af50", "title": "Simile Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"], "doi": []}, {"id": "e5799fd239531644ad9270f49a3961d7540ce358", "title": "Kinship classification by modeling facial feature heredity", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/ruogu/publications/ICIP13_Kinship.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738614", "http://doi.org/10.1109/ICIP.2013.6738614"]}, {"id": "db227f72bb13a5acca549fab0dc76bce1fb3b948", "title": "Characteristic Based Image Search Using Re-Ranking Method", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e83d/6fd4502d6d31134ffddb80b6d5c752cf3123.pdf"], "doi": []}, {"id": "b34fdab6864782ce60fd90d09f5d886bd83f84f5", "title": "AL-DDCNN: a distributed crossing semantic gap learning for person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1002/cpe.3766"]}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"], "doi": []}, {"id": "54756f824befa3f0c2af404db0122f5b5bbf16e0", "title": "Statement Computer Vision \u2014 Visual Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/5475/6f824befa3f0c2af404db0122f5b5bbf16e0.pdf"], "doi": []}, {"id": "2ef51b57c4a3743ac33e47e0dc6a40b0afcdd522", "title": "Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition", "year": "2011", "pdf": ["https://arxiv.org/pdf/1108.1122.pdf"], "doi": []}, {"id": "2d84c0d96332bb4fbd8acced98e726aabbf15591", "title": "Investigating the Role of Saliency for Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2d84/c0d96332bb4fbd8acced98e726aabbf15591.pdf"], "doi": []}, {"id": "5594beb2b314f5433bd7581f64bdbc58f2933dc4", "title": "Data augmentation for unbalanced face recognition training sets", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.12.013"]}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/vgg_faces.json b/site/datasets/unknown/vgg_faces.json
index 1db33708..606cc62e 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": "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": "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/voc.json b/site/datasets/unknown/voc.json
index ded0b8a3..b85d42f5 100644
--- a/site/datasets/unknown/voc.json
+++ b/site/datasets/unknown/voc.json
@@ -1 +1 @@
-{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "citations": [{"id": "c399c0089fb134d1476fadf5f0426e0e8b70eebd", "title": "The Lov\u00e1sz Hinge: A Novel Convex Surrogate for Submodular Losses.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07797.pdf"], "doi": []}, {"id": "6b6fcf1220ea100aa80004018c78b137289d3c50", "title": "CAD: Scale Invariant Framework for Real-Time Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265304"]}, {"id": "656f05741c402ba43bb1b9a58bcc5f7ce2403d9a", "title": "Supervised Learning Approaches for Automatic Structuring of Videos. (M\u00e9thodes d'apprentissage supervis\u00e9 pour la structuration automatique de vid\u00e9os)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/656f/05741c402ba43bb1b9a58bcc5f7ce2403d9a.pdf"], "doi": []}, {"id": "aa3398e15395a2a380c7c6b3f274c8c60fb0b48c", "title": "Chained Cascade Network for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237476"]}, {"id": "e58434a01c45505995b000f5e631843a2f2ea582", "title": "Scale coding bag of deep features for human attribute and action recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.04884.pdf"], "doi": []}, {"id": "eaf65c7cf4e9f7868c61f48656cb608fae0adcee", "title": "Visual dictionaries as intermediate features in the human brain", "year": "2014", "pdf": ["http://journal-cdn.frontiersin.org/article/104962/files/pubmed-zip/versions/1/pdf", "http://journal.frontiersin.org/article/10.3389/fncom.2014.00168/pdf", "https://pure.uva.nl/ws/files/2455021/162945_fncom_08_00168.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25642183", "http://doi.org/10.3389/fncom.2014.00168", "https://www.wikidata.org/entity/Q34969835"]}, {"id": "4c5d723dd83250c6b289c94318717de2d373a6ed", "title": "Learning Image Classification and Retrieval Models", "year": "2012", "pdf": [], "doi": []}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.pdf"], "doi": []}, {"id": "095ccb4e2e0f3934dc1aa51c685b2f54c8a6e588", "title": "Derivate-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01906.pdf"], "doi": []}, {"id": "a221588fd2d062462254481cfd9563fec2f7c387", "title": "Deep neural network ensemble architecture for eye movements classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8345537"]}, {"id": "67126ad0af544740c455311d08cb180aec830a6c", "title": "Generating Descriptions of Spatial Relations between Objects in Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6712/6ad0af544740c455311d08cb180aec830a6c.pdf"], "doi": []}, {"id": "823db813f036365cf9b22b2081ec167a2b582532", "title": "Segmentation and Shape Extraction from Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354273", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00169", "http://doi.org/10.1109/WACV.2018.00169", "http://www.grk1564.uni-siegen.de/publicationPDFbyID?ID=926"]}, {"id": "f3ccdf54a3384e601fa36969e7b3f657e2516a3b", "title": "Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention 1 : 3", "year": "2017", "pdf": [], "doi": []}, {"id": "2c9c597ab660815e07980e9655c3c5989402205b", "title": "Vision-Based Reacquisition for Task-Level Control", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2c9c/597ab660815e07980e9655c3c5989402205b.pdf"], "doi": []}, {"id": "aae1bf434983545c8a99a5dbfc2ce37435c76e03", "title": "SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00248.pdf"], "doi": []}, {"id": "ff18125a8f549135e6320fed91d0002bd2dae635", "title": "Colour Terms: a Categorisation Model Inspired by Visual Cortex Neurons", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06300.pdf"], "doi": []}, {"id": "3e50e351687779c05390daf117f0394d1556cd3c", "title": "Die Detektion interessanter Objekte unter Verwendung eines objektbasierten Aufmerksamkeitsmodells", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e50/e351687779c05390daf117f0394d1556cd3c.pdf"], "doi": []}, {"id": "065f05c9cb2a6080191851dd82cd9b439a77499a", "title": "Comparing Boosted Cascades to Deep Learning Architectures for Fast and Robust Coconut Tree Detection in Aerial Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/065f/05c9cb2a6080191851dd82cd9b439a77499a.pdf"], "doi": []}, {"id": "4ba503d8f173880d8e8402808f54b78b653e5d20", "title": "Accelerating Stochastic Gradient Descent via Online Learning to Sample", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4ba5/03d8f173880d8e8402808f54b78b653e5d20.pdf"], "doi": []}, {"id": "03a2235fea70317461222fac05e38ee35ead9711", "title": "Implementation of a Computer Vision Algorithm for Onboard Detection of Unmanned Aircraft submitted by Luk\u00e1\u0161 Bauer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03a2/235fea70317461222fac05e38ee35ead9711.pdf"], "doi": []}, {"id": "d07dabdea9e2e4546b09d07a019723ceb6c61b84", "title": "Deep learning for text spotting", "year": "2015", "pdf": [], "doi": []}, {"id": "7f66ff8dd0313fc9c7d67be7ea5aecdda956657c", "title": "Tracking-by-Segmentation with Online Gradient Boosting Decision Tree", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410707", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.350", "http://doi.org/10.1109/ICCV.2015.350"]}, {"id": "4896c9f6958137c88db29a3a707aafae3c29d106", "title": "Discriminative Re-ranking of Diverse Segmentations", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619095"]}, {"id": "858555b6f4663fe083d6c81a2671c9cd8130bbf3", "title": "Object Discovery via Cohesion Measurement", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.08944.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": "369bd35ab8bad4c7bc5e376cc776a5366d97b12e", "title": "An Object Detector Trained on Line Drawings", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/369b/d35ab8bad4c7bc5e376cc776a5366d97b12e.pdf"], "doi": []}, {"id": "46971fb6caa61c606b046da855be4e196a830ccf", "title": "Identification of Scene Text by Character Descriptor in Smart Mobile Devices", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4697/1fb6caa61c606b046da855be4e196a830ccf.pdf"], "doi": []}, {"id": "afad16c9fee11d8f78785af6b1856beb86b5ccf4", "title": "Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08011.pdf"], "doi": []}, {"id": "9089280062cf40870a322d687c2850d45c02ebae", "title": "Single Image Action Recognition by Predicting Space-Time Saliency", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04641.pdf"], "doi": []}, {"id": "cf384eda31030a45238ebd8356ace7600da5076b", "title": "Cross-Domain CNN for Hyperspectral Image Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00093.pdf"], "doi": []}, {"id": "44c5e66e58dd8212b753662e08cc0a7c8327ec50", "title": "Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-ijcv14.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-ijcv14.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0778-5"]}, {"id": "83acbf0bee402b0472ff101cee5942f4137d91c3", "title": "Semi-automatic Annotation on Image Segmentation Hierarchies", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/83ac/bf0bee402b0472ff101cee5942f4137d91c3.pdf"], "doi": []}, {"id": "e9af96d478b487fec9a06dde9e43b2ed3355ea7b", "title": "Automatic thresholding of SIFT descriptors", "year": "2016", "pdf": ["https://arxiv.org/pdf/1811.03173.pdf"], "doi": []}, {"id": "b1369e4785dd0b23f89ca76f45468049c8667863", "title": "1 DARTS : Deceiving Autonomous Cars with Toxic Signs", "year": "2018", "pdf": [], "doi": []}, {"id": "1a5151b4205ab27b1c76f98964debbfc11b124d5", "title": "Self Paced Deep Learning for Weakly Supervised Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.07651.pdf"], "doi": []}, {"id": "f1d8c377093ecf64afd7f17383738e81666fe5ae", "title": "Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10805.pdf"], "doi": []}, {"id": "12ff1c48f5776fda9d156c7b324af3f2674420a9", "title": "Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12ff/1c48f5776fda9d156c7b324af3f2674420a9.pdf"], "doi": []}, {"id": "e4dc24e4926df4de3e8d7ca7cd1f4115e91f03e1", "title": "Instance-level video segmentation from object tracks Anonymous CVPR submission", "year": "", "pdf": ["https://pdfs.semanticscholar.org/e4dc/24e4926df4de3e8d7ca7cd1f4115e91f03e1.pdf"], "doi": []}, {"id": "194af94f1ea9357bebb0aab5ab98aa0daa21ddbd", "title": "Snapshot Distillation: Teacher-Student Optimization in One Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00123.pdf"], "doi": []}, {"id": "9d67f5adf4497ba99201d318cfbbed07e926c05b", "title": "Unseen Object Segmentation in Videos via Transferable Representations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02444.pdf"], "doi": []}, {"id": "0caef87116f62fcc86735401a9aa9d4e170ffbef", "title": "On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics", "year": "2015", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Das_ITSC2015.pdf", "http://cvrr.ucsd.edu/publications/2015/DasOhnbarTrivedi_ITSC2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313566", "http://doi.org/10.1109/ITSC.2015.473"]}, {"id": "806aea24148fc2ef851803c216a0a25894d78bf4", "title": "Correlation filter based visual trackers for person pursuit using a low-cost Quadrotor", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294481", "http://doi.org/10.1109/I4CS.2015.7294481"]}, {"id": "63ed42249d7cbb21a4b0d42419d42b014ff114eb", "title": "Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4817/826f1af10e0c31dee067f8d9255d6387d486.pdf"], "doi": []}, {"id": "1b1323b4677c640ae8835a9ccab611ca1e9652e3", "title": "Robust object tracking with a hierarchical ensemble framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.06925.pdf"], "doi": []}, {"id": "557e5e38a4c5b95e2bc86f491b03e5c8c7add857", "title": "Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/kwak2016.pdf", "https://vlg.dgist.ac.kr/research/pose_emb/data/CVPR2016_pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780903", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.534", "http://doi.org/10.1109/CVPR.2016.534"]}, {"id": "6bcc2b50e32bdbb0c668f75000badf21e6cd0839", "title": "Knowledge Projection for Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09505.pdf"], "doi": []}, {"id": "071680ca97de050a372ea79f2b99f102bb3ca6ef", "title": "Inferring Unseen Views of People", "year": "2014", "pdf": ["http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-paper.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-poster.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/supp.pdf", "http://www.cs.utexas.edu/~chaoyeh/cvpr_2014_Inferring_Unseen_Views_of_People%20(2).pdf", "http://www.cs.utexas.edu/~grauman/papers/chen-pose-cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Inferring_Unseen_Views_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909655", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.258", "http://doi.org/10.1109/CVPR.2014.258"]}, {"id": "415c0eecce9fde7d1ba9c70bd0bfa5471760c117", "title": "Oriented Object Proposals", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cs.cityu.edu.hk/~rynson/papers/iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410397", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.40", "http://doi.org/10.1109/ICCV.2015.40"]}, {"id": "f865248065b8d6bcbce4a4053b73e4de2080ba23", "title": "Efficient object detection for high resolution images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.01257.pdf"], "doi": []}, {"id": "e0e19769ad446c2a74c0616fcfb551059c899ce6", "title": "Part level transfer regularization for enhancing exemplar SVMs", "year": "2015", "pdf": ["http://people.csail.mit.edu/yusuf/publications/2015/Aytar15/aytar15.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.04.004"]}, {"id": "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "a0703bef11c978cc8faf05eb229e29a889f8a0b1", "title": "Superpixel Hierarchy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.06325.pdf"], "doi": []}, {"id": "472de7b3c674e8f06702385569779d11b71bc8f2", "title": "Superpixel Coherency and Uncertainty Models for Semantic Segmentation", "year": "2013", "pdf": ["http://cvlab.postech.ac.kr/~tgx.lim/paper/iccv2013_semantic.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W08/papers/Baek_Superpixel_Coherency_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755909"]}, {"id": "73818ae13a89c2377c30cdb029fdb7e490fe5367", "title": "Joint cost minimization for multi-object tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078481", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078481", "http://doi.org/10.1109/AVSS.2017.8078481"]}, {"id": "ba51ce1ec7b18fa808985b919f4a201fe5e4bafb", "title": "Semantic parsing for priming object detection in indoors RGB-D scenes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ba51/ce1ec7b18fa808985b919f4a201fe5e4bafb.pdf"], "doi": []}, {"id": "23e707600c3e9a240e24eaa4ed4b0e4ec6a436c1", "title": "Automatic foreground extraction via joint CRF and online learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7f3b/115dd38a933f3a88e3b20b58862216297d63.pdf"], "doi": []}, {"id": "c5632e2117d268159225d5c307b7efbb6428ccba", "title": "Understanding image concepts using ISTOP model", "year": "2016", "pdf": ["http://www.cs.uu.nl/groups/MG/multimedia/publications/art/PR2016b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.11.010"]}, {"id": "773fd71d3d24c268c99e1c53ae87a28da3bbe0f6", "title": "Conditional Entropies as Over-Segmentation and Under-Segmentation Metrics for Multi-Part Image Segmentation", "year": "2011", "pdf": [], "doi": []}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "9ea7205ef136f207123cd6b54e15075835ae0049", "title": "Self-supervised language grounding by active sensing combined with Internet acquired images and text", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9ea7/205ef136f207123cd6b54e15075835ae0049.pdf"], "doi": []}, {"id": "6452d294af27b1f9408c9522bfb98bf00e1e4732", "title": "A novel infrared video surveillance system using deep learning based techniques", "year": "2018", "pdf": ["https://ore.exeter.ac.uk/repository/bitstream/handle/10871/32083/MTA-manuscript-revision-R2-accepted.pdf?isAllowed=y&sequence=1", "https://repository.edgehill.ac.uk/10281/6/MTA-manuscript-revision-R2.pdf"], "doi": ["https://doi.org/10.1007/s11042-018-5883-y"]}, {"id": "191beb87f84326d2cc9c427efe2a5abee8f67574", "title": "Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05462.pdf"], "doi": []}, {"id": "5020a75c45416073d0b07b1deb7382bc80de1779", "title": "Human Detection Using Learned Part Alphabet and Pose Dictionary", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf", "http://mc.eistar.net/UpLoadFiles/Papers/%5B38%5D%202014%20ECCV%20Yaocong.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930251.pdf", "https://cis.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_17"]}, {"id": "6e7248f33be3f6b44d6089b7039a5c2d84acaed0", "title": "Object cosegmentation using deep Siamese network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02555.pdf"], "doi": []}, {"id": "b8ccc5341a1b0214e9d155b019962023f344c2ee", "title": "Incremental Learning of Object Detectors without Catastrophic Forgetting", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06977.pdf"], "doi": []}, {"id": "37668092cf8b7695d4a85eb7a25e9a2ef0fd0739", "title": "Robust object detection under partial occlusion", "year": "2016", "pdf": [], "doi": []}, {"id": "49f276e1b8fd162ac3cd996becc63cab2b2535b7", "title": "Trained 3D Models for CNN based Object Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/49f2/76e1b8fd162ac3cd996becc63cab2b2535b7.pdf"], "doi": []}, {"id": "1426045c4188f09fec46d0d2f246357a230a1748", "title": "Structured Labels in Random Forests for Semantic Labelling and Object Detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6784137", "http://doi.org/10.1109/TPAMI.2014.2315814", "https://www.ncbi.nlm.nih.gov/pubmed/26352638", "https://www.wikidata.org/entity/Q38404154"]}, {"id": "efe133717899b41cd4c0b0c999da312d3af60a6e", "title": "Depth-Based Hand Pose Estimation: Methods, Data, and Challenges", "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.06378.pdf"], "doi": []}, {"id": "9caa7605c16da42761c8a27327f5f037dbf901fa", "title": "q-Gaussian mixture models for image and video semantic indexing", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2013.10.005", "http://t2r2.star.titech.ac.jp/rrws/file/CTT100664441/ATD100000413/"]}, {"id": "4bb84c9b24456fb0bb920ca83280bd9c48ad4b66", "title": "Instance-Level Video Segmentation from Object Tracks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/seguin2016.pdf", "http://www.di.ens.fr/willow/research/instancelevel/seguin16instancelevel.pdf", "http://www.di.ens.fr/~bojanowski/papers/seguin16instance.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780769", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.400", "http://doi.org/10.1109/CVPR.2016.400"]}, {"id": "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "title": "Part-Based Models for Finding People and Estimating Their Pose", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ce0d/be6b1abecb54dcc98dbe652aa63d190dbc94.pdf"], "doi": []}, {"id": "a5683661e80668e05170bf17bcbd754d1b07af74", "title": "Comparison of Data Set Bias in Object Recognition Benchmarks", "year": "2015", "pdf": ["http://vfacstaff.ltu.edu/lshamir/publications/object_recognition_dataset_bias.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299607", "http://doi.org/10.1109/ACCESS.2015.2491921"]}, {"id": "646a669f1dc38ae961fe41fbd3c83cab64ce9d53", "title": "Real-Time Seamless Single Shot 6D Object Pose Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578136"]}, {"id": "575a0e97702edcb0621a47b574949bac50e34200", "title": "Unsupervised Learning by Predicting Noise", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05310.pdf"], "doi": []}, {"id": "b9128ff3b0b96815ff41a7d5fb2b4bef69f635ca", "title": "Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04984.pdf"], "doi": []}, {"id": "7c03a0ad5202a6a31ad3b78b11f6b45ecd840616", "title": "Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c03/a0ad5202a6a31ad3b78b11f6b45ecd840616.pdf"], "doi": []}, {"id": "17342b1c4caccfc499d9ae55a68d7b93285c5d6b", "title": "Action recognition in still images using a combination of human pose and context information", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466977", "http://doi.org/10.1109/ICIP.2012.6466977"]}, {"id": "571d2b173c2db8ac751dabdfcf5a18c06f365e05", "title": "Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06301.pdf"], "doi": []}, {"id": "90e36f66c25a4c73a252102c6c6c329c36d82676", "title": "Probably Unknown: Deep Inverse Sensor Modelling In Radar", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08151.pdf"], "doi": []}, {"id": "fb710e9d897b7c1fd5275a0bcfa22711c5768990", "title": "A Graphical Model for Rapid Obstacle Image-Map Estimation from Unmanned Surface Vehicles", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb71/0e9d897b7c1fd5275a0bcfa22711c5768990.pdf"], "doi": []}, {"id": "821ba3eba1e36a29cc482f5378f4a0d0f6893159", "title": "Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07926.pdf"], "doi": []}, {"id": "b50156e76ae03a1c0b04cd2076a99b7f2b441506", "title": "An image classification method that considers privacy-preservation", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.04.056"]}, {"id": "3481a544e28cfc14108b0785eef7c12747e622ee", "title": "Online Multi-object Tracking via Structural Constraint Event Aggregation", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr16_mot.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201703210652/Online%20Multi-Object%20Tracking%20via%20Structural%20Constraint%20Event%20Aggregation.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780524", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.155", "http://doi.org/10.1109/CVPR.2016.155"]}, {"id": "7fd5d2b0a034da43a747f6b8be3e51d775a05625", "title": "A Method to Detect Boats in Images of the Amazonian Rivers", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8247064", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2017.73", "http://doi.org/10.1109/BRACIS.2017.73"]}, {"id": "13105c611a059b4825bc92ff9778f532b6a849b2", "title": "Compressing Sparse Feature Vectors Using Random Ortho-Projections", "year": "2010", "pdf": ["http://www.ee.oulu.fi/mvg/files/pdf/PID1267977.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/PID1267977.pdf", "http://www.rni.helsinki.fi/~msa/pub/ICPR2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597593", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.345", "http://doi.org/10.1109/ICPR.2010.345"]}, {"id": "0967341790643f680f3fc9dc87bfe311723be4e4", "title": "A Perception-Driven Transcale Display Scheme for Space Image Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0967/341790643f680f3fc9dc87bfe311723be4e4.pdf"], "doi": []}, {"id": "a8bf49021017e19df051a3efb7337d93ea263e37", "title": "Deep Multiple Instance Hashing for Object-based Image Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a8bf/49021017e19df051a3efb7337d93ea263e37.pdf"], "doi": []}, {"id": "347ce37f15cea5bb8d0a676562664f80e3609b78", "title": "Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04702.pdf"], "doi": []}, {"id": "0755ee472e2bc2968b16f851a16c39b3f3e2d0d0", "title": "From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227436", "http://doi.org/10.1109/DICTA.2017.8227436"]}, {"id": "659fc2a483a97dafb8fb110d08369652bbb759f9", "title": "Improving the Fisher Kernel for Large-Scale Image Classification", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/659f/c2a483a97dafb8fb110d08369652bbb759f9.pdf"], "doi": []}, {"id": "1e02dfeb93e8fd8753d2e69baf705baf8996cb81", "title": "Online Object Tracking, Learning and Parsing with And-Or Graphs", "year": "2014", "pdf": ["https://arxiv.org/pdf/1509.08067.pdf"], "doi": []}, {"id": "bdfb5f11d497b44b17d0315c3b6892f835723832", "title": "Object Captioning and Retrieval with Natural Language", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06152.pdf"], "doi": []}, {"id": "43fe9006b90137d6ce85a539685ce66c13f0e38e", "title": "A review of image-based automatic facial landmark identification techniques", "year": "", "pdf": ["https://pdfs.semanticscholar.org/43fe/9006b90137d6ce85a539685ce66c13f0e38e.pdf"], "doi": []}, {"id": "642772c38ff690d17a3ce84a1d8646aefc802139", "title": "VIDEO OBJECT TRACKING BASED ON AUTOMATIC BACKGROUND SEGMENTATION : A SURVEY", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6427/72c38ff690d17a3ce84a1d8646aefc802139.pdf"], "doi": []}, {"id": "303c08071500421c3aca758e6c7cd6a9fcbda1a8", "title": "Scene understanding with complete scenes and structured representations", "year": "2014", "pdf": [], "doi": []}, {"id": "86f0f71bff42e4bdc60014e4f94ec76d52c8eccf", "title": "Felzenszwalb-Baum-Welch: Event Detection by Changing Appearance", "year": "2013", "pdf": ["https://arxiv.org/pdf/1306.4746.pdf"], "doi": []}, {"id": "d9cc8bc5c4a4b29ab40f75b721bd9e5140d2baf6", "title": "Object Detection for Crime Scene Evidence Analysis Using Deep Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6926/4f28158f9245a06f7a2c1ae666241261cc0e.pdf"], "doi": []}, {"id": "d3f6b3ce8f7b67c1e112a79b3fe9764242c655f5", "title": "Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354202"]}, {"id": "9b6538d09e914c41345812b3086feff1dc1ae218", "title": "Detecting Comma-shaped Clouds for Severe Weather Forecasting using Shape and Motion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08937.pdf"], "doi": []}, {"id": "bf417e1c265b31720b4fb980afb83cc3a573fa6f", "title": "Representations and Similarities of Images for Visual Classification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf41/7e1c265b31720b4fb980afb83cc3a573fa6f.pdf"], "doi": []}, {"id": "4dc57432fa8fea1614a39c324bf11ae0620cb26f", "title": "Aalborg Universitet Detection of U . S . Traffic", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6e53/63af2bfb7d1b2bd13feb41c2688bd0cf12b3.pdf"], "doi": []}, {"id": "878169be6e2c87df2d8a1266e9e37de63b524ae7", "title": "Image interpretation above and below the object level.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8781/69be6e2c87df2d8a1266e9e37de63b524ae7.pdf"], "doi": []}, {"id": "3daafe6389d877fe15d8823cdf5ac15fd919676f", "title": "Human Action Localization with Sparse Spatial Supervision", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05197.pdf"], "doi": []}, {"id": "04f9b591cdfa1e3667230ae1224b1dfdac0a8ef1", "title": "Discriminative Segment Annotation in Weakly Labeled Video", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619165"]}, {"id": "4e4f2c4d2ea47636ca2ab795770d6b3214640f37", "title": "Efficient Maximum Appearance Search for Large-Scale Object Detection", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/qiangcvpr2013_final.pdf", "http://rogerioferis.com/publications/ChenCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d190.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Efficient_Maximum_Appearance_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619254", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.410", "http://doi.org/10.1109/CVPR.2013.410"]}, {"id": "9434524669777d281a8a7358f20181c9e157942e", "title": "VSEM: An open library for visual semantics representation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9434/524669777d281a8a7358f20181c9e157942e.pdf"], "doi": []}, {"id": "0e0900b88c33b671be5dd2ded9885b6526d6b429", "title": "From captions to visual concepts and back", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4952.pdf"], "doi": []}, {"id": "4d910c5ab0b70ddbef6be944077ed63821608135", "title": "On Dimensionality Reduction for Indexing and Retrieval of Large-Scale Solar Image Data", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4d91/0c5ab0b70ddbef6be944077ed63821608135.pdf"], "doi": []}, {"id": "9076183dcdb28ebb3e547f7ffd3f9d5d0faec531", "title": "Describing Video Contents in Natural Language", "year": "2012", "pdf": [], "doi": []}, {"id": "07764e1607d9e3d8094455adb658077996eb38c4", "title": "End-to-End Trained CNN Encoder-Decoder Networks for Image Steganography", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07201.pdf"], "doi": []}, {"id": "46f135110c5fc5f158bc3ffce21b9ae946c7ff68", "title": "Adaptive NormalHedge for robust visual tracking", "year": "2015", "pdf": ["https://core.ac.uk/download/pdf/33581176.pdf", "https://pure.qub.ac.uk/portal/files/13941301/main_huiyu.pdf"], "doi": ["https://doi.org/10.1016/j.sigpro.2014.08.027"]}, {"id": "b961009dedea99f948650df7291a28f18bbfc1dc", "title": "Towards Automated Visual Monitoring of Individual Gorillas in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265544"]}, {"id": "7dbc61e2dc497e9dcff98e7df832780cc8a2b60c", "title": "A Flexible Object-of-Interest Annotation Framework for Online Video Portals", "year": "2012", "pdf": ["http://www.mdpi.com/1999-5903/4/1/179/pdf"], "doi": ["https://doi.org/10.3390/fi4010179"]}, {"id": "d4f454b24a7901dea14858808bbe277c7bee8ffb", "title": "Edge-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": [], "doi": []}, {"id": "6768b558cc58e113096540c123ef3b2c2d2469a1", "title": "Maximum Margin Linear Classifiers in Unions of Subspaces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1a06/e518bf15015153b4973bb2e9e06e51485a4c.pdf"], "doi": []}, {"id": "ba6c19771926564e89be4ace7c33dc3da580249e", "title": "Utilisation du contexte pour l'indexation s\u00e9mantique des images et vid\u00e9os. (Using context for semantic indexing of images and videos)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ba6c/19771926564e89be4ace7c33dc3da580249e.pdf"], "doi": []}, {"id": "447b28c347172c6da0fb4d764a534fdee557b7f8", "title": "Studying Relationships between Human Gaze, Description, and Computer Vision", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618945"]}, {"id": "782b21e803d149955c627c063ae60efeae04a9b1", "title": "Analysis of Multilayer Neural Networks for Object Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "title": "Transfer learning via attributes for improved on-the-fly classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836097", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836097", "http://doi.org/10.1109/WACV.2014.6836097"]}, {"id": "ba156b81fe8fca1fd1bfb1c822e39205c4ff355b", "title": "Unsupervised Multi-class Joint Image Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909798"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "title": "Bag of contour fragments for robust shape classification", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/XinggangPR2014.pdf", "http://mc.eistar.net/~xwang/pubs/BagOfShape.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/BagOfShape.pdf", "https://cis.temple.edu/~latecki/Papers/XinggangPR2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.12.008"]}, {"id": "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "title": "DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799"]}, {"id": "7fe203374ba3ddc8462a7c775b276e53f09dd036", "title": "NavigationNet: A Large-scale Interactive Indoor Navigation Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08374.pdf"], "doi": []}, {"id": "8f8599012002dd3bbb6526b3be92d7a7355ad22a", "title": "Construction et \u00e9valuation d'un corpus pour la recherche d'instances d'images mus\u00e9ales", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f85/99012002dd3bbb6526b3be92d7a7355ad22a.pdf"], "doi": []}, {"id": "ebf35073e122782f685a0d6c231622412f28a53b", "title": "A High-Quality Denoising Dataset for Smartphone Cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578280"]}, {"id": "9463f71b2d8e291d5fc5a7db6b95b3d01e759b29", "title": "Describing Spatial Relationships between Objects in Images in English and French", "year": "2015", "pdf": ["http://www.emnlp2015.org/proceedings/VL/pdf/VL16.pdf"], "doi": ["https://doi.org/10.18653/v1%2FW15-2816", "http://aclweb.org/anthology/W15-2816", "https://doi.org/10.18653/v1/W15-2816"]}, {"id": "aaa6fe8045e1a071e1762cffe4f59e0bd508daf9", "title": "Single-Pedestrian Detection Aided by Two-Pedestrian Detection", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~wlouyang/Papers/tpami15-ouyang_xgWang_xyZeng.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangZWtpami15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6994306", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2377734", "http://doi.org/10.1109/TPAMI.2014.2377734", "https://www.ncbi.nlm.nih.gov/pubmed/26353133"]}, {"id": "2a7007555f71e559c6aa33efbd3bd8b401638d82", "title": "Full interpretation of minimal images", "year": "2018", "pdf": ["https://perso.telecom-paristech.fr/bloch/AIC/articles/BenYosef2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S001002771730269X?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cognition.2017.10.006", "https://www.ncbi.nlm.nih.gov/pubmed/29107889"]}, {"id": "08c71fe89af5f168b373e92b44a7cf9d1755fb8c", "title": "The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition", "year": "2013", "pdf": ["http://infoscience.epfl.ch/record/182860/files/2013_ChavarriagaPRLETTERS_preprint.pdf?version=1", "https://www.researchgate.net/profile/Ricardo_Chavarriaga/publication/258031577_The_Opportunity_challenge_A_benchmark_database_for_on-body_sensor-based_activity_recognition/links/02e7e528146aa12213000000.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.12.014"]}, {"id": "8d73906f0a232e8b94200017e512446c1af4dd9d", "title": "Detection of U.S. Traffic Signs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7116530"]}, {"id": "497857bce6ea1ed4889fb949a2f176072e2509c7", "title": "A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5137808"]}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578822"]}, {"id": "3de71ddc07619c0dd6bbaa3f7b412a9262a0e761", "title": "Discriminatively Trained And-Or Tree Models for Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d278.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Song_Discriminatively_Trained_And-Or_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/DiscriminativeAOG_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619265", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.421", "http://doi.org/10.1109/CVPR.2013.421"]}, {"id": "18b4a20ed465972d9d8f3f8d8982d321acf45907", "title": "Mod\u00e9lisation de contextes pour l'annotation s\u00e9mantique de vid\u00e9os. (Context based modeling for video semantic annotation)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18b4/a20ed465972d9d8f3f8d8982d321acf45907.pdf"], "doi": []}, {"id": "992a614aa601c52b20729538ea25b62471ffe8bc", "title": "Towards Automatic Construction of Diverse, High-quality Image Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06495.pdf"], "doi": []}, {"id": "53822d61e829ef02a95a6c89fea082114fd3e16b", "title": "A General Framework for Tracking Multiple People from a Moving Camera", "year": "2013", "pdf": ["http://www.willowgarage.com/sites/default/files/pami_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6361406", "http://doi.org/10.1109/TPAMI.2012.248", "https://www.ncbi.nlm.nih.gov/pubmed/23681988", "https://www.wikidata.org/entity/Q48723090"]}, {"id": "323eb410e0d0978901a8baa670f905f280ab19ff", "title": "Inner-Scene Similarities as a Contextual Cue for Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04406.pdf"], "doi": []}, {"id": "7532996c27b199ed89b412a9f0df7483df83ea72", "title": "Committees of deep feedforward networks trained with few data", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5947.pdf"], "doi": []}, {"id": "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "title": "An ontology-based framework for the automated analysis and interpretation of comic books' images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ins.2016.10.032", "https://hal.archives-ouvertes.fr/hal-01387033/document"]}, {"id": "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "title": "Multi-label Classification for Image Annotation via Sparse Similarity Voting", "year": "2010", "pdf": ["http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/27087/1/LNCS6469_344.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-22819-3_35"], "doi": ["https://doi.org/10.1007/978-3-642-22819-3_35"]}, {"id": "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "title": "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images", "year": "2017", "pdf": ["http://www.mdpi.com/2072-4292/9/5/500/pdf"], "doi": ["https://doi.org/10.3390/rs9050500", "https://www.preprints.org/manuscript/201704.0061/v1/download"]}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "title": "Deep Material-Aware Cross-Spectral Stereo Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578303"]}, {"id": "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "title": "Detecting objects in internet videos AIMS Project Report", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e4fc/560a78e48bd927c2f6253f5fc489927bb15f.pdf"], "doi": []}, {"id": "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "title": "Region detection and matching for object recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "e42b89b6ed1c6d79286a62ded1e4c090f474eb40", "title": "Using image analytics to monitor retail store shelves", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1147/JRD.2015.2394513"]}, {"id": "64fb6a04a3ec96b2ad266c381c75f4dc16ce3460", "title": "Hole-based traffic sign detection method for traffic signs with red rim", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0879-0"]}, {"id": "24c20c28871fa923c3f45b745b9b9f2d3d280e81", "title": "Harmony potentials for joint classification and segmentation", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540048"]}, {"id": "06f1c079303937f6022e6157e6341c7921fe9428", "title": "Efficient Dense Rigid-Body Motion Segmentation and Estimation in RGB-D Video", "year": "2014", "pdf": ["http://ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf", "http://www.ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0796-3"]}, {"id": "333b877ea761c5c1d4ffa39654fc19bd015e245d", "title": "Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7450190"]}, {"id": "0ecaabbf846bbc78c91bf7ff71b998b61c0082d8", "title": "Automated Visual Fin Identification of Individual Great White Sharks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06323.pdf"], "doi": []}, {"id": "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "title": "Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes", "year": "2014", "pdf": ["http://eprints.whiterose.ac.uk/84865/1/ICPR14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976833", "http://doi.org/10.1109/ICPR.2014.123"]}, {"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": "4446924885545b255164b32e42b8375bac699f23", "title": "Object semantic categorization based on ensemble SVM classifiers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7867229"]}, {"id": "fc2c39b6439623c00b10e8d9826b1c82e8487805", "title": "Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Mandal_Generalized_Semantic_Preserving_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099765", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.282", "http://doi.org/10.1109/CVPR.2017.282"]}, {"id": "92cd808bba43c3702d8cbddde65ee42bf01676d4", "title": "A MultiPath Network for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02135.pdf"], "doi": []}, {"id": "3bccc5621b14f2e6b07a5936acecdf957724c6ff", "title": "Convolutional Fisher Kernels for RGB-D Object Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7335478", "http://doi.ieeecomputersociety.org/10.1109/3DV.2015.23", "http://doi.org/10.1109/3DV.2015.23"]}, {"id": "0b67879b1d5db9da12490b41b4f52d12626e87bc", "title": "The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics", "year": "2012", "pdf": ["http://ijr.sagepub.com/content/31/8/927.full.pdf"], "doi": ["https://doi.org/10.1177/0278364912445831"]}, {"id": "98b4bf8cf8890f50b12e4fabe78bafd687a598c2", "title": "Semantic Labeling Based Vehicle Detection in Aerial Imagery", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354178"]}, {"id": "e03a2299caf2febcc7b87ee4e61e78ad8cb24e45", "title": "Combined Holistic and Local Patches for Recovering 6D Object Pose", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265469"]}, {"id": "26eadb307d62ab28713931beb8be9ff0f04c6ea0", "title": "Synthetic Viewpoint Prediction", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801548", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.58", "http://doi.org/10.1109/CRV.2016.58"]}, {"id": "55d01b7314d78fe3bc5ae03b6e414ecba14188f8", "title": "Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2709034"]}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "64bff565c83c6ce3fac783d8d67191af99803701", "title": "Learning to Co-Generate Object Proposals with a Deep Structured Network", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/217984/files/HayderHeSalzmannCVPR16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.281", "http://doi.org/10.1109/CVPR.2016.281"]}, {"id": "66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450", "title": "A Linear Approximation to the chi^2 Kernel with Geometric Convergence", "year": "2012", "pdf": ["https://arxiv.org/pdf/1206.4074.pdf"], "doi": []}, {"id": "dbf2d57def648d1dae7717c92a32ff02157e5cb5", "title": "RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01054.pdf"], "doi": []}, {"id": "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "title": "Boosting Object Proposals: From Pascal to COCO", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01226.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410538", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.181", "http://doi.org/10.1109/ICCV.2015.181"]}, {"id": "174b6d661b96840e27cd9435c2dbb8e538b2c8a6", "title": "Progressive Representation Adaptation for Weakly Supervised Object Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.04647.pdf"], "doi": []}, {"id": "b95cdaaa0d6c191bcc8169ce555219ad545258fb", "title": "Online streaming feature selection: a minimum redundancy, maximum significance approach", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-018-0690-7"]}, {"id": "0f780a8cb09627bec41000345c2771df2853224a", "title": "Automatic inspection of aeronautic components", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-017-0839-1"]}, {"id": "c1206330ba57a27fd0acc29dd39825bbf2d91060", "title": "A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~yuille/Pubs10_12/PartImportance_IJCV2014_online.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0705-9"]}, {"id": "4c500c84e16e5ebb50b33f9bcff36854e5131c16", "title": "All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1711.04450.pdf"], "doi": []}, {"id": "02f86370fd467f0d03948a94a346034d8a111ffd", "title": "Semantic Video Retrieval Using High Level Context", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/02f8/6370fd467f0d03948a94a346034d8a111ffd.pdf"], "doi": []}, {"id": "d111faa1990f80e3351ea1eef0e5fc177d4e44b4", "title": "Iteratively Training Look-Up Tables for Network Quantization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05355.pdf"], "doi": []}, {"id": "165c27a4bfb56562c807279bef9d15f1bced5ca0", "title": "Scene parsing using inference Embedded Deep Networks", "year": "2016", "pdf": ["http://www.adv-ci.com/publications/2016_PR_Bu.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.01.027"]}, {"id": "f348d23a88fd81e05585897629f2f230fcfe77c7", "title": "Transfer Learning of Deep Neural Networks for Visual Collaborative Maritime Asset Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8537839"]}, {"id": "87fe38a79ee12531bb618d4006a476b3a5256f3e", "title": "Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02426.pdf"], "doi": []}, {"id": "d8b8e165279ca2091d5af1440ed974db4792250f", "title": "Mean Response-Time Minimization of a Soft-Cascade Detector", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ad73/ff39869e223dba6e0ee94481b6c32766df86.pdf"], "doi": []}, {"id": "0f6a2ea69c325bcbfca85fb05cb5f542873b1bf8", "title": "Food Recognition and Detection with Minimum Supervision", "year": "2016", "pdf": [], "doi": []}, {"id": "df8aee8aef6f0c71f968979318dafcd53da04bdc", "title": "Bending the Curve: Improving the ROC Curve Through Error Redistribution", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06652.pdf"], "doi": []}, {"id": "70918453e9f147747b7a37d9159c8c1515a55ae4", "title": "Visual object tracking via the local soft cosine similarity", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2018.03.026"]}, {"id": "1876095a9387a84e594d81675c9c2c17cb10f7cf", "title": "Accurate segmentation of complex document image using digital shearlet transform with neutrosophic set as uncertainty handling tool", "year": "2017", "pdf": ["http://fs.gallup.unm.edu/neut/AccurateSegmentationOfComplex.pdf"], "doi": ["http://doi.org/10.1016/j.asoc.2017.08.005"]}, {"id": "ad52d047a44f20416f9dd6655cef54169d481454", "title": "Perceptual modeling in the problem of active object recognition in visual scenes", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.007"]}, {"id": "e096b11b3988441c0995c13742ad188a80f2b461", "title": "DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04702.pdf"], "doi": []}, {"id": "56e95fa26fb417776824e5adf6d6d511e5b30110", "title": "Object and Action Classification with Latent Window Parameters", "year": "2013", "pdf": ["http://homepages.inf.ed.ac.uk/hbilen/assets/pdf/Bilen14.pdf", "http://www.cse.iitk.ac.in/users/cs365/2014/_papers/bilen-namboodri-vanGool-13_object-action-classify-latent-windows.pdf", "http://www.cse.iitk.ac.in/users/vinaypn/papers/bilen2013ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0646-8"]}, {"id": "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "title": "Assessment of crowdsourcing and gamification loss in user-assisted object segmentation", "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/81293/asknseek.pdf;jsessionid=469B72384B7C56D4A331D68A53942294?sequence=1"], "doi": ["https://doi.org/10.1007/s11042-015-2897-6"]}, {"id": "85eedee59aca5f2a591265a2173cf3a2799cdc94", "title": "Action and Event Recognition with Fisher Vectors on a Compact Feature Set", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751336"]}, {"id": "3463aeda3a8d33bc88d8383cc4ad451a6775c75a", "title": "Understanding Indoor Scenes Using 3D Geometric Phrases", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/choi_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a033.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Choi_Understanding_Indoor_Scenes_2013_CVPR_paper.pdf", "https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41340.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618856", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.12", "http://doi.org/10.1109/CVPR.2013.12"]}, {"id": "70b420850e16ec2afe42d5c0006742d9045b3e7f", "title": "If You Can't Beat Them, Join Them: Learning with Noisy Data", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806231"]}, {"id": "985b6a10c1bb9c8908d6d299c7ab0bba76df2259", "title": "Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Bilinski_Dense_Decoder_Shortcut_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578788", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00690", "http://doi.org/10.1109/CVPR.2018.00690"]}, {"id": "82451d0ae2e0154b5f9cd096af199c35319e911a", "title": "Image spam filtering using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1168-8"]}, {"id": "8ff6294535acf46abf523b879f20685de0692a8c", "title": "Bayes Risk for Large Scale Hierarchical Top-K Image Classification", "year": "2013", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/153936/eth-6877-01.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.3929/ethz-a-009767867"]}, {"id": "d97224063697392f073e467005e89973d2be7d65", "title": "Recherche de motifs fr\u00e9quents dans une base de cartes combinatoires. (Frequent pattern discovery in combinatorial maps databases)", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/02d1/8e600804a1a6ff354856d8dcb80ceb4c8a43.pdf"], "doi": []}, {"id": "74a1336f1fbc8b7bb3b6e159711af1a91336ce22", "title": "An overview of traffic sign detection methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/74a1/336f1fbc8b7bb3b6e159711af1a91336ce22.pdf"], "doi": []}, {"id": "e33bc0cd79d92d6868989a29c3ab06b75f808590", "title": "Deep Nets: What have they ever done for Vision?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04025.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "14d1a458f49e251cbbab34349e379469300a2bae", "title": "Scene Parsing with Object Instances and Occlusion Ordering", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tighe_Scene_Parsing_with_2014_CVPR_paper.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909874", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.479", "http://doi.org/10.1109/CVPR.2014.479"]}, {"id": "a6cd743c29667ab5baef9d66d6558247b1cd00b0", "title": "New in-situ training image and one-shot detection model without adaptation GENETIM detection model for synset bottle", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a6cd/743c29667ab5baef9d66d6558247b1cd00b0.pdf"], "doi": []}, {"id": "9b8746e9480c3bdcaa6efca33096369422c624aa", "title": "Algae Detection Using Computer Vision and Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10847.pdf"], "doi": []}, {"id": "3325860c0c82a93b2eac654f5324dd6a776f609e", "title": "2D Human Pose Estimation: New Benchmark and State of the Art Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909866"]}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "bf26ccc92bca086195c5f250aef2e409a1c7cd85", "title": "Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215524", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2017.61", "http://doi.org/10.1109/ICDM.2017.61"]}, {"id": "ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1", "title": "An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff3a/9545e73adea5275a1c7c71c5e3fe2e35a9a1.pdf"], "doi": []}, {"id": "21d1225296aad388406824eb113715c4b90ed3da", "title": "Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7372146", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2015.50", "http://doi.org/10.1109/ICTAI.2015.50"]}, {"id": "3f0b0ffe315ee111fc028561ec4ecf2c93f94a05", "title": "Pose Normalization Network for Object Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f0b/0ffe315ee111fc028561ec4ecf2c93f94a05.pdf"], "doi": []}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "6a405e7284ff7e2127a241d60646b4abd3da92f2", "title": "Generate To Adapt : Unsupervised Domain Adaptation using Generative Adversarial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "c0e551acb063c9cd73dea28ab8963f850b6f1148", "title": "A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0e5/51acb063c9cd73dea28ab8963f850b6f1148.pdf"], "doi": []}, {"id": "8b45a87f3dfc8eccd745161effbf2457a9097e6a", "title": "WEAKLY SUPERVISED SEMANTIC SEGMENTATION 3 priors can give good pixel labelling results", "year": "2017", "pdf": [], "doi": []}, {"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": "12d9a4233a16ea08fbb1de853b6a97b4f4952c23", "title": "Tractable Structured Prediction using the Permutohedral Lattice", "year": "2017", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-01.pdf?isAllowed=y&sequence=1", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-02.pdf?isAllowed=y&sequence=2"], "doi": ["https://doi.org/10.3929/ethz-a-010882665"]}, {"id": "33d101fe276fd5e6220c9b40c33e1a1d1389e5bb", "title": "DOC: DEEP OCCLUSION ESTIMATION FROM A SIN-", "year": "2016", "pdf": [], "doi": []}, {"id": "c6c691b772822881c5c52b779100928f0d54fdd7", "title": "Using Visual Saliency to Improve Human Detection with Convolutional Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "11a3084768f035c824662a85a348f02466693d2a", "title": "Lifting Object Detection Datasets into 3D", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.06465.pdf"], "doi": []}, {"id": "4be10db13a9210e078d78a4a072c569d9bbd9939", "title": "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06098.pdf"], "doi": []}, {"id": "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "title": "Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/18a8/49b1f336e3c3b7c0ee311c9ccde582d7214f.pdf"], "doi": []}, {"id": "13e424d502bf539108ad6f5cc877cfb1255dbee0", "title": "Improving Vision-Based Self-Positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045914"]}, {"id": "1dbd7653ede6af15d539f64cb2128752ca029e44", "title": "Hollywood 3D: Recognizing Actions in 3D Natural Scenes", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619280"]}, {"id": "f4c45108cb41051010d8a5175b8da23eb246c967", "title": "Improving Image Captioning by Leveraging Knowledge Graphs", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658870"]}, {"id": "1b3ee5455956a40c6e9e09ccda0f4fb162838629", "title": "The Recognition of License Plate Restrictions Based on Faster R-CNN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b3e/e5455956a40c6e9e09ccda0f4fb162838629.pdf"], "doi": []}, {"id": "5c45a1abc51fe059987bcfba19b1d5076a8d9afb", "title": "Autonomous Object Category Learning for Service Robots Using Internet Resources", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c45/a1abc51fe059987bcfba19b1d5076a8d9afb.pdf"], "doi": []}, {"id": "4a31b3fcc346bf3235efe1c0fb310833570cef27", "title": "Learning Intelligent Dialogs for Bounding Box Annotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579054"]}, {"id": "ed62a56b81511d7fcf6d247014987163d9668982", "title": "\"What happens if...\" Learning to Predict the Effect of Forces in Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05600.pdf"], "doi": []}, {"id": "29aa3dc15450e6eb46c34f30f0e224e5ea16615e", "title": "Sketch Me That Shoe", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/hsiao_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "https://www.eecs.qmul.ac.uk/~qian/SketchMeThatShoe.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780462", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.93", "http://doi.org/10.1109/CVPR.2016.93"]}, {"id": "1999d5e0700bf8fa50bb1bab5b981bda1d111a4f", "title": "Monocular Road Terrain Detection by Combining Visual and Spatial Information", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/73b1/10df4809d0a015f90fa6e7a7dce351bcc52e.pdf", "https://www.researchgate.net/profile/Jannik_Fritsch/publication/261073577_Monocular_Road_Terrain_Detection_by_Combining_Visual_and_Spatial_Information/links/5475ef240cf29afed612e5a8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6766705", "http://doi.org/10.1109/TITS.2014.2303899"]}, {"id": "34072c31c2c778df471c9f0c43ba6198dfd0db32", "title": "Arbitrary Category Classification of Websites Based on Image Content", "year": "2015", "pdf": ["http://users.ics.aalto.fi/juha/papers/ELM2014.pdf", "http://www.engineering.uiowa.edu/sites/default/files/files/newpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7083681", "http://doi.org/10.1109/MCI.2015.2405317"]}, {"id": "d23ac99cdab20a9a3eca2784a5b262649c717988", "title": "Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02753.pdf"], "doi": []}, {"id": "22cf367d14e646914cc959bbcd402df0c20cd0dc", "title": "Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04024.pdf"], "doi": []}, {"id": "c9d73438bf5e66bd0c4f512c5a4e53c3e33e721e", "title": "Adding spatial distribution clue to aggregated vector in image retrieval", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0247-0?site=jivp-eurasipjournals.springeropen.com"], "doi": ["http://doi.org/10.1186/s13640-018-0247-0"]}, {"id": "a74b045f28670e8f85173e0e483581520d667f02", "title": "Object tracking using Langevin Monte Carlo particle filter and locality sensitive histogram based likelihood model", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.cag.2017.07.023"]}, {"id": "c56da136b8d62125009a131f6dc21fcd0dd6a559", "title": "ICDAR2017 Robust Reading Challenge on Text Extraction from Biomedical Literature Figures (DeTEXT)", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270166", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.235", "http://doi.org/10.1109/ICDAR.2017.235"]}, {"id": "02e5372e439c09f8a8ce8c4784b044ce116ca11c", "title": "DeepCorrect: Correcting DNN models against Image Distortions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02406.pdf"], "doi": []}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "5fdbebf417da2427744d2c60f413b5375e68993e", "title": "Discriminative Sub-categorization", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619062"]}, {"id": "32bebe84ffbd4fd81f0e5bb30dbc90774aa3b14b", "title": "Segmentation Results Stimuli Final Saliency Map Ground Truth Constructed Graph CCA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/32be/be84ffbd4fd81f0e5bb30dbc90774aa3b14b.pdf"], "doi": []}, {"id": "a02e5d8e2a10176dc5e2566e1b492823a0cb6ee2", "title": "A learning framework for higher-order consistency models in multi-class pixel labeling problems", "year": "2014", "pdf": [], "doi": []}, {"id": "383d64b27fb3cdf2beff43f3beb8caac8c21a886", "title": "Detecting activities of daily living in first-person camera views", "year": "2012", "pdf": ["http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_poster.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_slides.pdf", "http://vision.ics.uci.edu/papers/PirsiavashR_CVPR_2012_1/PirsiavashR_CVPR_2012_1.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w06-cagdas.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/dinesh-expt.pdf", "http://www.ics.uci.edu/~dramanan/papers/ADL_2012.pdf", "https://www.cs.cmu.edu/~deva/papers/ADL_2012.pdf", "https://www.csee.umbc.edu/~hpirsiav/papers/adl_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248010", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248010", "http://doi.org/10.1109/CVPR.2012.6248010"]}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "64c1158a4061882d610f1cffd5ddb1e8fc9a74b4", "title": "Gated Feedback Refinement Network for Dense Image Labeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Islam_Gated_Feedback_Refinement_CVPR_2017_paper.pdf", "http://www.cs.umanitoba.ca/~ywang/papers/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100001", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.518", "http://doi.org/10.1109/CVPR.2017.518"]}, {"id": "284be8be0c6bedc36dfe43229bc84345ab0aedc2", "title": "Faster Training of Mask R-CNN by Focusing on Instance Boundaries", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07069.pdf"], "doi": []}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.pdf"], "doi": []}, {"id": "2a2232f2972191a0606d588aa4f13c9f27d1972d", "title": "InstanceCut: From Edges to Instances with MultiCut", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08272.pdf"], "doi": []}, {"id": "029cabb6f3f6a824590e735feb1d8557646db8a6", "title": "One-Bit Object Detection: On learning to localize objects with minimal supervision", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.1024.pdf"], "doi": []}, {"id": "fd23dda0abe2d6a3ae0c8253c89110364cdecbc9", "title": "Deep Learning for People Detection on Beach Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575616", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2018.00045", "http://doi.org/10.1109/BRACIS.2018.00045"]}, {"id": "c3c4f0caf1b42b6466306360c4ebe16f66489df0", "title": "Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11266.pdf"], "doi": []}, {"id": "03fd6774f57aaed9320060e4527121c59e9eca2b", "title": "Intrinsic spatial pyramid matching for deformable 3D shape retrieval", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-013-0041-9"]}, {"id": "304aa9bfd6bc32d3d87abce6a229d973270bbd73", "title": "Fast Neural Cell Detection Using Light-Weight SSD Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w8/papers/Yi_Fast_Neural_Cell_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014853", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.119", "http://doi.org/10.1109/CVPRW.2017.119"]}, {"id": "c8ba499e8d8daa32637885f03137f41d61023bf9", "title": "Weak supervision for detecting object classes from activities", "year": "2017", "pdf": ["https://ps.is.tue.mpg.de/uploads_file/attachment/attachment/296/weak_supervision_object_detection.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.006"]}, {"id": "cd1a636c1261208084cb8395c877c7ca22c76df1", "title": "Fast Deep Vehicle Detection in Aerial Images", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926624.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926624", "http://doi.org/10.1109/WACV.2017.41"]}, {"id": "101c7305f141145c4d168dfa40284e0ad86a0d9b", "title": "Active Object Localization with Deep Reinforcement Learning", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410643"]}, {"id": "48922520e6de0954a83f26977b2b50b7fbfdcf61", "title": "A survey of sketch-based image retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-0953-8"]}, {"id": "c37fe13f94dfc2f3494a35a63336689ce4392135", "title": "MPNET: An End-to-End Deep Neural Network for Object Detection in Surveillance Video", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8365094", "http://doi.org/10.1109/ACCESS.2018.2836921"]}, {"id": "0f8f9253c81fd90fe44d474cc185d4ae2487e5b4", "title": "NYC3DCars: A Dataset of 3D Vehicles in Geographic Context", "year": "2013", "pdf": ["http://nyc3d.cs.cornell.edu/static/paper.pdf", "http://www.cs.cornell.edu/~snavely/publications/papers/nyc3dcars_iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Matzen_NYC3DCars_A_Dataset_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751204", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.99", "http://doi.org/10.1109/ICCV.2013.99"]}, {"id": "e8ffef3d4d74720e766e506e175e533bdc8ee705", "title": "Object Detection Networks on Convolutional Feature Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1504.06066.pdf"], "doi": []}, {"id": "1daf971c087f5e21dbae831231377cbe9bb2f188", "title": "Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619272"]}, {"id": "8d74fbd46f9d5d615e350c4593cbc5b5ca63fa8b", "title": "Data driven visual tracking via representation learning and online multi-class LPBoost learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0388"]}, {"id": "7af667b6c1b4b32f513dd70fe3ef36fcf344a741", "title": "A transfer learning based approach for automated grading of Gliomas using deep Residual Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7af6/67b6c1b4b32f513dd70fe3ef36fcf344a741.pdf"], "doi": []}, {"id": "d9dafc343727db2b6060c868d748f97eff6bac7d", "title": "Improved pedestrian detection using motion segmentation and silhouette orientation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4933-1"]}, {"id": "3b304585d5af0afe98a85d6e0559315fbf3a7807", "title": "An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection", "year": "2013", "pdf": ["http://welcome.isr.ist.utl.pt/img/pdfs/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf", "http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2015/05/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38628-2_34"]}, {"id": "99df9e95b3f3d187636918a65277baf7c98cbfc5", "title": "An efficient subsequence search for video anomaly detection and localization", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-015-2453-4", "https://www.wikidata.org/entity/Q56907428"]}, {"id": "832246357de85108cb910e773c203997448c570a", "title": "Recurrently Target-Attending Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780530"]}, {"id": "74031f12dde0be772a742b96bf5f4c8d9fa41ec7", "title": "Joint Object-Material Category Segmentation from Audio-Visual Cues", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.02220.pdf"], "doi": []}, {"id": "9452d029f5d140aece06619b6fd8e47b070cacd1", "title": "Urban classification by pixel and object-based approaches for very high resolution imagery", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9452/d029f5d140aece06619b6fd8e47b070cacd1.pdf"], "doi": []}, {"id": "7268747251a61d1ce3285baade15c372d4c566d6", "title": "Person Attribute Recognition with a Jointly-Trained Holistic CNN Model", "year": "2015", "pdf": ["http://web-info8.informatik.rwth-aachen.de/media/papers/sudowe_spitzer_leibe_ICCV_LaP_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Sudowe_Person_Attribute_Recognition_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406400", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.51", "http://doi.org/10.1109/ICCVW.2015.51"]}, {"id": "81763bb718dc6630be210c056a250b1c2ed57fd7", "title": "3D Semantic Parsing of Large-Scale Indoor Spaces", "year": "2016", "pdf": ["http://buildingparser.stanford.edu/images/CVPR_2016_poster.pdf", "http://buildingparser.stanford.edu/images/supp_mat.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780539", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.170", "http://doi.org/10.1109/CVPR.2016.170"]}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "a228ba020bd321d29ab24485cb2988a62707fd64", "title": "Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study", "year": "2013", "pdf": ["https://engineering.purdue.edu/RVL/Publications/Srivastava2013.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2013.06.009"]}, {"id": "037f2e9d2d2aa15c3d476f4aa358da96707b4b44", "title": "Square Localization for Efficient and Accurate Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410651"]}, {"id": "bf3aae7293f664d512c0904916d804327af22f52", "title": "STDnet: A ConvNet for Small Target Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf3a/ae7293f664d512c0904916d804327af22f52.pdf"], "doi": []}, {"id": "d6b514a68abff3ab14af9fc0152cd5b28bd0192c", "title": "Instance Segmentation by Deep Coloring", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10007.pdf"], "doi": []}, {"id": "0de46e6768acaa71745406d646573644b975dc62", "title": "Scene-Domain Active Part Models for Object Representation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410644"]}, {"id": "e24792ec2a6cb8971b2f6befb4b97b9fe2d79952", "title": "Bottom-up Object Detection by Grouping Extreme and Center Points", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08043.pdf"], "doi": []}, {"id": "1d7029a974f950de61f3980704956b43f1a06e7b", "title": "Efficient Optimization for Rank-Based Loss Functions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578487"]}, {"id": "22a8b7ca2e6449cad31ae4f71bb3587751087e77", "title": "DeepBox: Learning Objectness with Convolutional Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410642"]}, {"id": "9c4365a56fb3cf41b15712657b15f7422ca0dab2", "title": "A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/9c43/65a56fb3cf41b15712657b15f7422ca0dab2.pdf"], "doi": []}, {"id": "37b9ea1bf5b6ce8ecb656628af3933c64c632c2b", "title": "Transfer Learning for 3 D LiDAR-based Human Classification with a Mobile Robot", "year": "2018", "pdf": [], "doi": []}, {"id": "f79c4bf83371627ba139b61eb427463b93cd687b", "title": "Learning from Few Examples for Visual Recognition Problems", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f79c/4bf83371627ba139b61eb427463b93cd687b.pdf"], "doi": []}, {"id": "084bd219dd239dc4c9a02621a5333d3bc1446566", "title": "DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.00072.pdf"], "doi": []}, {"id": "1c9da6cef6b1be9c116b26dd52c341c0adcf7db2", "title": "Interactive Perception: Leveraging Action in Perception and Perception in Action", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03670.pdf"], "doi": []}, {"id": "549c719c4429812dff4d02753d2db11dd490b2ae", "title": "YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00824.pdf"], "doi": []}, {"id": "e430d1ae3a28ec342f767cdfb19aeb76c20a3f21", "title": "Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8592805"]}, {"id": "3b4ad6b789837a6a878f33c0b7ddb1b1fc7daaf8", "title": "Fine-grained recognition of plants from images", "year": "2017", "pdf": ["https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-017-0265-4?site=plantmethods.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s13007-017-0265-4", "https://www.ncbi.nlm.nih.gov/pubmed/29299049"]}, {"id": "f92ceb6875f614bbccb25e4b11ca55353773890f", "title": "Saliency Detection via Boundary Prior and Center Prior", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f92c/eb6875f614bbccb25e4b11ca55353773890f.pdf"], "doi": []}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "2114b25727a21275e88e30dad0423752f6047dae", "title": "Generic Visual Recognition on Non-Uniform Distributions Based on AdaBoost Codebooks", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/cac0/c534e02784a3a873690d213dd8c92b81992f.pdf"], "doi": []}, {"id": "7cb4d30b3bfb0d4b02499c15c7c7a9dfddda8049", "title": "Object Tracking using L 1 / L 2 Sparse Coding and Multi Scale Max Pooling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7cb4/d30b3bfb0d4b02499c15c7c7a9dfddda8049.pdf"], "doi": []}, {"id": "b7efecec654acd8831d045e728b54356c697c9c8", "title": "Learning Semantic Segmentation with Diverse Supervision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354268"]}, {"id": "eacb95e81156c48f4ff7470567ba205225170fa7", "title": "Learning Aerial Image Segmentation From Online Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06879.pdf"], "doi": []}, {"id": "14b311b848b51b7b5345573a289b1cedcbb4d581", "title": "Instance Similarity Deep Hashing for Multi-Label Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02987.pdf"], "doi": []}, {"id": "24ff832171cb774087a614152c21f54589bf7523", "title": "Beat-Event Detection in Action Movie Franchises", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03755.pdf"], "doi": []}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03249.pdf"], "doi": []}, {"id": "99c37dba394b100ba8f3d895c0ee0e57d5852347", "title": "Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects", "year": "2014", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2014/papers/Zia_Are_Cars_Just_2014_CVPR_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D2/2014/zia14cvpr.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/cvpr2014zz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909865", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.470", "http://doi.org/10.1109/CVPR.2014.470"]}, {"id": "f6b649023e49a341f042f9a17b2f923db58ccf35", "title": "Feature representation of RGB-D images using joint spatial-depth feature pooling", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2016.04.001"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": [], "doi": ["https://www.base-search.net/Record/6ecfef13a126fd20b941bbb80477b94bd643db70d224a43b1d0b0cb61aa181b1"]}, {"id": "b85c198ce09ffc4037582a544c7ffb6ebaeff198", "title": "Efficient Multiple Instance Metric Learning Using Weakly Supervised Data", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Law_Efficient_Multiple_Instance_CVPR_2017_paper.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2017/mimlca_cvpr_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100113", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.630", "http://doi.org/10.1109/CVPR.2017.630"]}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"], "doi": []}, {"id": "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "title": "Scene Parsing through ADE20K Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Scene_Parsing_Through_CVPR_2017_paper.pdf", "http://people.csail.mit.edu/bzhou/publication/scene-parse-camera-ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100027", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.544", "http://doi.org/10.1109/CVPR.2017.544"]}, {"id": "a422c2bd9030c8a2c89b6db79be2743c4a4609fb", "title": "Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02886.pdf"], "doi": []}, {"id": "46a1172c784c3741e79781ef2353209b08dbea67", "title": "YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition", "year": "2013", "pdf": ["http://www.cs.utexas.edu/users/ml/papers/guadarrama.iccv13.pdf", "http://www.cs.utexas.edu/users/ml/posters/guadarrama.iccv13.pdf", "http://www.eecs.berkeley.edu/~sguada/pdfs/2013-ICCV-YouTube2Text-final.pdf", "https://www.cs.utexas.edu/~vsub/pdf/YouTube2Text_Recognizing_and_2013_ICCV_paper.pdf", "https://www.icsi.berkeley.edu/pubs/vision/youtube2text13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751448", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.337", "http://doi.org/10.1109/ICCV.2013.337"]}, {"id": "670b10569c5f978ee70d99cf8c14ad9cabb9d454", "title": "Masked face detection via a modified LeNet", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.056"]}, {"id": "4acf31294e940d85a4eea56c244205e3a66d8b8e", "title": "Improving Product Classification Using Images", "year": "2011", "pdf": ["http://talukdar.net/papers/ImageText-ICDM2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6137235", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2011.79", "http://doi.org/10.1109/ICDM.2011.79"]}, {"id": "057f5ffda59a3412f1e62159e96f84faa352628e", "title": "Tracking with scattering descriptor", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2013.0124"]}, {"id": "4404a99e2f6db3e703609168a3595e0fbdeabc38", "title": "Online Video SEEDS for Temporal Window Objectness", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Van_Den_Bergh_Online_Video_SEEDS_2013_ICCV_paper.pdf", "http://www.mvdblive.org/research/videoseeds.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01056.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751156", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.54", "http://doi.org/10.1109/ICCV.2013.54"]}, {"id": "59ee0f67bcf2d8ea0bbbfcbc71159725fc3a7059", "title": "Object Detection with Appearance-based Mixture Models Anonymous CVPR submission", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/59ee/0f67bcf2d8ea0bbbfcbc71159725fc3a7059.pdf"], "doi": []}, {"id": "e478c322de923337627487d8a688f5922b45b2ff", "title": "Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e478/c322de923337627487d8a688f5922b45b2ff.pdf"], "doi": []}, {"id": "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "title": "Text Detection in Traffic Informatory Signs Using Synthetic Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270075", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.144", "http://doi.org/10.1109/ICDAR.2017.144"]}, {"id": "7c594c0b9482624745dd95767f3eebde1ee7f043", "title": "Representing Visual Scenes for Robot Control", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c59/4c0b9482624745dd95767f3eebde1ee7f043.pdf"], "doi": []}, {"id": "0ceda9dae8b9f322df65ca2ef02caca9758aec6f", "title": "Context-Aware CNNs for Person Head Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410688"]}, {"id": "5f0e9cc18374a670dfea4698424c9d48494f3093", "title": "Online Domain Adaptation for Multi-Object Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.00776.pdf"], "doi": []}, {"id": "d47d72afc590f5b96117a5227d45157135da21ad", "title": "Attribute-based knowledge transfer learning for human pose estimation", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2012.05.032"]}, {"id": "05db46c7745c360fa5938ee204c81efdcc84c1da", "title": "An Empirical Evaluation of Current Convolutional Architectures\u2019 Ability to Manage Nuisance Location and Scale Variability", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.06795.pdf"], "doi": []}, {"id": "0d4cdadd765c3003b0bd5f762b84bef93408f548", "title": "Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909618"]}, {"id": "5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb", "title": "Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797075", "http://doi.org/10.1109/DICTA.2016.7797075"]}, {"id": "050e5b4043009e54dff9319877fe947885db2d6e", "title": "Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780764", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.395", "http://doi.org/10.1109/CVPR.2016.395"]}, {"id": "926dd1c4db38356ac5bf87c1a4c6b93625f9a850", "title": "Pulling Actions out of Context: Explicit Separation for Effective Combination", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578834"]}, {"id": "b705ca751a947e3b761e2305b41891051525d9df", "title": "Exploring Context with Deep Structured Models for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.03183.pdf"], "doi": []}, {"id": "be48b5dcd10ab834cd68d5b2a24187180e2b408f", "title": "Constrained Low-Rank Learning Using Least Squares-Based Regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.04870.pdf"], "doi": []}, {"id": "b2f63863e73a8565895ca3d9d7d6a1e10a7695b1", "title": "Efficient Neural Network Compression via Transfer Learning for Industrial Optical Inspection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b2f6/3863e73a8565895ca3d9d7d6a1e10a7695b1.pdf"], "doi": []}, {"id": "044ae9738c2445d4fda30fcd6c289eddf8b3add9", "title": "Multiple Instance Learning: A Survey of Problem Characteristics and Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.03365.pdf"], "doi": []}, {"id": "2ba540ca70c7dee81e13768792aa7571952987f6", "title": "Drivable Road Detection Based on Dilated FPN with Feature Aggregation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372075", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00172", "http://doi.org/10.1109/ICTAI.2017.00172"]}, {"id": "6c9f45c76b4f96fe66d8e1d7b31f89b7cc6caa44", "title": "DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10295.pdf"], "doi": []}, {"id": "a0ae4ffe252f32514240cf6d82d52538de5fb78c", "title": "AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0ae/4ffe252f32514240cf6d82d52538de5fb78c.pdf"], "doi": []}, {"id": "115e8a4f76a57b893c985ea4f7530b90d071679c", "title": "FSSD: Feature Fusion Single Shot Multibox Detector", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00960.pdf"], "doi": []}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019363", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019363", "http://doi.org/10.1109/ICME.2017.8019363"]}, {"id": "92f2639dbd9f7c4284b7012809e4d2c407834774", "title": "Point-based Medialness 2 D Shape Description and Identification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/92f2/639dbd9f7c4284b7012809e4d2c407834774.pdf"], "doi": []}, {"id": "4ace7c8edd9467c7d5bfa00e942531e7b889e650", "title": "Depth-Based Hand Pose Estimation: Data, Methods, and Challenges", "year": "2015", "pdf": ["http://vision.ics.uci.edu/papers/SupancicRYSR_ICCV_2015/SupancicRYSR_ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Supancic_Depth-Based_Hand_Pose_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410574", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.217", "http://doi.org/10.1109/ICCV.2015.217"]}, {"id": "4c454fda214e00c9cba4bb759da78949a4130873", "title": "Specialization of a Generic Pedestrian Detector to a Specific Traffic Scene by the Sequential Monte-Carlo Filter and the Faster R-CNN", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4c45/4fda214e00c9cba4bb759da78949a4130873.pdf"], "doi": []}, {"id": "f541dac9d0d49cadb3cfd018e87b26e03e3f13aa", "title": "Trio Constrained Adaptive Noise Removal ( TCANR ) Mechanism for Salt and Pepper Noise in Image Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f541/dac9d0d49cadb3cfd018e87b26e03e3f13aa.pdf"], "doi": []}, {"id": "aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2", "title": "PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c029/edca476ddda4050c3c67748056c6189cd1e3.pdf"], "doi": []}, {"id": "d250e57f6b7e06bb1dac41c8b89700086a85999e", "title": "Self-Supervised Generalisation with Meta Auxiliary Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08933.pdf"], "doi": []}, {"id": "de35ea60396629b2d1ceb73df56a97ed21012680", "title": "Robust object tracking via multi-scale patch based sparse coding histogram", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-016-3289-2"]}, {"id": "a0e286f3c6a72c857ffd03bd8ab9a9f9b98c4432", "title": "AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04452.pdf"], "doi": []}, {"id": "19339e816d8006ad462868b01812b03eb463ead1", "title": "Collective activity localization by spatiality preservation search", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1080/01691864.2016.1172506", "https://www.wikidata.org/entity/Q58025855"]}, {"id": "899e7ff67aa2630edc8776758cc5d65823f099c1", "title": "G-CNN: Object Detection via Grid Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097417", "http://doi.org/10.1109/ACCESS.2017.2770178"]}, {"id": "139ab79a0aae5d4346f907b7b29288d09ef373fa", "title": "A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08412.pdf"], "doi": []}, {"id": "94780b00dc2807ec507ae91500b622ec7a8ddb12", "title": "Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06295.pdf"], "doi": []}, {"id": "fa496716a5b8520e94a0126b5baa4f636623c997", "title": "Revisiting Knowledge Transfer for Training Object Class Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06128.pdf"], "doi": []}, {"id": "c2cb4da617168c76c4560a01de8b5e68b5250749", "title": "FineTag: Multi-attribute Classification at Fine-grained Level in Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07124.pdf"], "doi": []}, {"id": "87d5b53580ca5f77ccc3ff157337ef3456308943", "title": "Augmented Autoencoders for object orientation estimation trained on synthetic RGB images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/87d5/b53580ca5f77ccc3ff157337ef3456308943.pdf"], "doi": []}, {"id": "eb2333a759788903848c49111a03c4c00d188e70", "title": "Color-based and Rotation Invariant Self-similarities", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/61075/61075.pdf"], "doi": ["https://doi.org/10.5220/0006107503440351"]}, {"id": "af9cc1767f50f63291d7ca9ab709f6849cd1e46c", "title": "Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/af9c/c1767f50f63291d7ca9ab709f6849cd1e46c.pdf"], "doi": []}, {"id": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067436", "http://doi.org/10.1109/TCSVT.2015.2416555"]}, {"id": "8eaade06b75dac977574d05ce1058b86df059d47", "title": "Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation", "year": "2014", "pdf": ["http://people.eecs.berkeley.edu/~sgupta/pdf/ijcv14a.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0777-6"]}, {"id": "b9b21cfa7de32677151571ab44d27d2d246b7a03", "title": "Towards Explanation of DNN-based Prediction with Guided Feature Inversion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00506.pdf"], "doi": []}, {"id": "4152d2c8585f7e3f85d3b3d84036171de104cbd7", "title": "Rethinking ImageNet Pre-training", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08883.pdf"], "doi": []}, {"id": "b31f37fd71b7b45e6fd8978960e271a7db1ee212", "title": "DICTING IMAGE ROTATIONS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b31f/37fd71b7b45e6fd8978960e271a7db1ee212.pdf"], "doi": []}, {"id": "149f3cc167b046dc790b1f4f1c48eeb31e898403", "title": "A study of vehicle detector generalization on U.S. highway", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0669.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795567", "http://doi.org/10.1109/ITSC.2016.7795567"]}, {"id": "1a1654456decd116f4ca84c98006dfda0a8a3134", "title": "INTEGRATED VISUAL INFORMATION FOR MARITIME SURVEILLANCE", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a16/54456decd116f4ca84c98006dfda0a8a3134.pdf"], "doi": []}, {"id": "3e00dd86c084d8680409c65c1a48f1b3aa864eb7", "title": "Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1801.02439.pdf"], "doi": []}, {"id": "1e5edbd39b4c61f785515e117a74e2d280aefbe7", "title": "The urrent tate and TRL ssessment of eople racking echnology for ideo urveillance pplications", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1e5e/dbd39b4c61f785515e117a74e2d280aefbe7.pdf"], "doi": []}, {"id": "2e1f0b522014c942197e51b556eeb48b6ad66cda", "title": "Automatic object classification using motion blob based local feature fusion for traffic scene surveillance", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-012-1296-7"]}, {"id": "25858dc59faf2630bf0eefe23297ce262370cff0", "title": "Monitoring Giraffe Behavior in Thermal Video", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046812"]}, {"id": "e545f1c06799bfd2bd5f7eaed085fd60a388202f", "title": "A top-down manner-based DCNN architecture for semantic image segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e545/f1c06799bfd2bd5f7eaed085fd60a388202f.pdf"], "doi": []}, {"id": "7b3a63d030d03e536ddcbc217bc8d6fd630e3b53", "title": "xView: Objects in Context in Overhead Imagery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07856.pdf"], "doi": []}, {"id": "4a6049e1926cc8e574301cfb229599cdc0a64e62", "title": "Characterizing the performance of an image-based recognizer for planar mechanical linkages in textbook graphics and hand-drawn sketches", "year": "2015", "pdf": ["http://vdel.me.cmu.edu/publications/2015cag/paper.pdf"], "doi": ["http://doi.org/10.1016/j.cag.2015.06.002"]}, {"id": "ec6f1a4b9367675833f0111c44a22ba217fcbd23", "title": "Visual Tracking via Constrained Incremental Non-negative Matrix Factorization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045563", "http://doi.org/10.1109/LSP.2015.2404856"]}, {"id": "5950512e21114236208b9eaeebc9a09735e367a6", "title": "Master research Internship Internship report Segmentation and recognition of symbols for printed and handwritten music scores", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5950/512e21114236208b9eaeebc9a09735e367a6.pdf"], "doi": []}, {"id": "c7780cff11068fecb322a43e459c56267a88aee7", "title": "DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion", "year": "2017", "pdf": [], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "19b6b0649cc669791c799c52fc56bdc556f06916", "title": "Efficient Model Evaluation with Bilinear Separation Model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045964"]}, {"id": "cf58f90e14b49ce35548d89c7339b7fc4db9ba4f", "title": "Generating Diverse Image Datasets with Limited Labeling", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967285"]}, {"id": "4ff486644be5e451784d6ae83f8073c8320fa974", "title": "Visual Tracking with Convolutional Neural Network", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379494", "http://doi.org/10.1109/SMC.2015.362"]}, {"id": "a43f460f6c1abbe8eb0097594df6eafc0f651d49", "title": "Saliency-based object recognition in video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a43f/460f6c1abbe8eb0097594df6eafc0f651d49.pdf"], "doi": []}, {"id": "b4df58f1fd8a3bd0815e7fb957f7f07fddd77338", "title": "Rethinking the sGLOH Descriptor", "year": "2018", "pdf": ["http://cvg.dsi.unifi.it/colombo_now/CC/Public/sGLOH2_TPAMI_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911291", "http://doi.org/10.1109/TPAMI.2017.2697849", "https://www.ncbi.nlm.nih.gov/pubmed/28459683", "https://www.wikidata.org/entity/Q38811217"]}, {"id": "ceee9ba72a021ae5604db04a93fdcff421d60216", "title": "Encoder Based Lifelong Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01920.pdf"], "doi": []}, {"id": "c4a0e89793961dc486964802df55ae73fbba60ee", "title": "Soccer: Who Has the Ball? Generating Visual Analytics and Player Statistics", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w34/Theagarajan_Soccer_Who_Has_CVPR_2018_paper.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/FINAL-published-soccer-ball-generating.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575390", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00227", "http://doi.org/10.1109/CVPRW.2018.00227"]}, {"id": "2622d2467f19bc60427f8ea495515e7da82316c9", "title": "Tell Me Where to Look: Guided Attention Inference Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579058"]}, {"id": "ccee8af5667d1d3bccf30baf2c6f049f031bb5ad", "title": "Mixing Hierarchical Contexts for Object Recognition", "year": "2011", "pdf": ["http://web.ing.puc.cl/~asoto/papers/Peralta-2011.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-25085-9_27"]}, {"id": "c96f012f4915398259e7e223810c57898b5e1a76", "title": "Fast LIDAR-based Road Detection Using Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c96f/012f4915398259e7e223810c57898b5e1a76.pdf"], "doi": []}, {"id": "7142e659d6466717cdb8a242d8e34fce176b3f4a", "title": "Improved scene identification and object detection on egocentric vision of daily activities", "year": "2017", "pdf": ["http://crcv.ucf.edu/news&info/DefenseBooklet_FA17.pdf", "http://crcv.ucf.edu/papers/cviu2016-gonzalo.pdf", "http://vision.eecs.ucf.edu/papers/cviu2016-gonzalo.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.10.016"]}, {"id": "3b483c986b973856e016f761ec312c1a339766a5", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"id": "1281e443d2cf1c1dd71ed3b7b0376d408d0958af", "title": "SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks", "year": "2015", "pdf": ["http://www.cs.cornell.edu/~xhuang/publications/salicon_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Huang_SALICON_Reducing_the_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410395", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.38", "http://doi.org/10.1109/ICCV.2015.38"]}, {"id": "71f7be73a575f3689b0137446289d02462e1c5b0", "title": "Adaptive Multi-Scale Information Flow for Object Detection.", "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0266.pdf"], "doi": []}, {"id": "581fb0f0405c7f0e60610d88ceaceb9af44d8569", "title": "Final Report : Smart Trash Net : Waste Localization and Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581f/b0f0405c7f0e60610d88ceaceb9af44d8569.pdf"], "doi": []}, {"id": "eaa7c6293c9d858bd4c9897a5dfc7c670f2a8671", "title": "Distant Vehicle Detection Using Radar and Vision", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10951.pdf"], "doi": []}, {"id": "2cea306754ed83eaf1d0433abbfb05b5a4c4cf48", "title": "BIG-OH: BInarization of gradient orientation histograms", "year": "2014", "pdf": ["http://vgl-ait.org/mdailey/uploads/publication_file/filename/110/Baber-BIG-OH.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.08.006"]}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"], "doi": []}, {"id": "5a364ecb2d10b637c63b885d27eb372390232277", "title": "Unsupervised Robust Feature-Based Partition Ensembling to Discover Categories", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789641"]}, {"id": "1114c2aba97a5782a48341817811df2438d0fdbf", "title": "Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07498.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "8211c974ec152e79235cb57a03ba2971e913508f", "title": "Multimodal Image Retrieval", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-012-0006-4"]}, {"id": "eb69f89588e9538194750f12bf8c8df6d5301f3b", "title": "Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eb69/f89588e9538194750f12bf8c8df6d5301f3b.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": "d2e8efaa0d095c22455fe4eab260f94994bfb116", "title": "Stand-alone quality estimation of background subtraction algorithms", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.08.005"]}, {"id": "abe9f3b91fd26fa1b50cd685c0d20debfb372f73", "title": "The Pascal Visual Object Classes Challenge: A Retrospective", "year": "2014", "pdf": ["http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc14.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Everingham15/everingham15.pdf", "https://www.research.ed.ac.uk/portal/files/20017166/ijcv_voc14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0733-5"]}, {"id": "10d3f77225eca1d576268ba84ed83f230a5e47c4", "title": "Crafting a multi-task CNN for viewpoint estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03894.pdf"], "doi": []}, {"id": "a01c7eec51fa901b2526325f563480c152c58ee5", "title": "Contour Box: Rejecting Object Proposals without Explicit Closed Contours", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf", "http://www.cse.cuhk.edu.hk/leojia/papers/contour_iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.234", "http://doi.org/10.1109/ICCV.2015.234"]}, {"id": "3db4bdee7bc03239ef25d23cf8dc14ce5a5300e2", "title": "Sparse Coding for Object Recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "aa23d33983b1abd2d8a677040eb875e93c478a7f", "title": "Measuring the Objectness of Image Windows", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/alexe11-techreport.pdf", "http://groups.inf.ed.ac.uk/calvin/Publications/alexe12pami.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/techreports/eth_biwi_00882.pdf", "https://www.research.ed.ac.uk/portal/files/17686204/Alexe_et_al_2010_Measuring_the_objectnessi.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133291", "http://doi.org/10.1109/TPAMI.2012.28", "https://www.ncbi.nlm.nih.gov/pubmed/22248633", "https://www.wikidata.org/entity/Q50666022"]}, {"id": "cab372bc3824780cce20d9dd1c22d4df39ed081a", "title": "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.00915.pdf"], "doi": []}, {"id": "04e1c7618e4ef3e16159b27c522ddf94068c4f99", "title": "Reconstructing PASCAL VOC", "year": "2014", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://home.isr.uc.pt/~joaoluis/papers/cvpr2014_1.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr2014_1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vicente_Reconstructing_PASCAL_VOC_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909407", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.13", "http://doi.org/10.1109/CVPR.2014.13"]}, {"id": "127316fbe268c78c519ceb23d41100e86639418a", "title": "CNN Features Off-the-Shelf: An Astounding Baseline for Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6382.pdf"], "doi": []}, {"id": "148686aebefff0a7fb3f80024f765ef4b06d2efc", "title": "Learning Rich Features from RGB-D Images for Object Detection and Segmentation", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.5736.pdf"], "doi": []}, {"id": "1fef45786e707e6b9b8517b0403e596ecbdea6a5", "title": "Sketch-based manga retrieval using manga109 dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.04389.pdf"], "doi": []}, {"id": "4a19f6545473363b16d4a10ed13fef29b38856d3", "title": "What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.5027.pdf"], "doi": []}, {"id": "7d39d69b23424446f0400ef603b2e3e22d0309d6", "title": "YOLO9000: Better, Faster, Stronger", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08242.pdf"], "doi": []}, {"id": "9bde2137a6a374ff81820e55a75ae5b70bf7fd5e", "title": "PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25382277", "https://doi.org/10.1039/C4MB00414K"]}, {"id": "bfa6ad4d71008505729274d008a9b4a7d92b2985", "title": "Semantic Understanding of Scenes Through the ADE20K Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.05442.pdf"], "doi": []}, {"id": "21a1654b856cf0c64e60e58258669b374cb05539", "title": "You Only Look Once: Unified, Real-Time Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02640.pdf"], "doi": []}, {"id": "12660f0defc6580e566c0fa2ac909971d6c6883b", "title": "The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780721", "http://doi.org/10.1109/CVPR.2016.352", "https://www.wikidata.org/entity/Q57840870"]}, {"id": "ec187cedb69b389d06da26b17d889020e36ba6f6", "title": "ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240652"]}, {"id": "dcb6f06631021811091ce691592b12a237c12907", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438999", "http://doi.org/10.1109/TMM.2018.2865686"]}, {"id": "562463fafacca4bbe5256e318eb628bf915f4114", "title": "SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797084"]}, {"id": "8bc80a5d721757868d85d9e40c56c15d9b5c0df0", "title": "Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270088"]}, {"id": "51a4d658c93c5169eef7568d3d1cf53e8e495087", "title": "Unsupervised Visual Domain Adaptation Using Subspace Alignment", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751479"]}, {"id": "20a78d3145279dcd799cd7a856ae2714f4863a16", "title": "SSD: Single Shot MultiBox Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02325.pdf"], "doi": []}, {"id": "165ef2b5f86b9b2c68b652391db5ece8c5a0bc7e", "title": "Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780717"]}, {"id": "bf5f67ebbe41f2fb1726a7c3c0be707366d5a4fb", "title": "Indoor Segmentation and Support Inference from RGBD Images", "year": "2012", "pdf": ["http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf", "http://cs.nyu.edu/~silberman/papers/indoor_seg_support_supplementary.pdf", "http://videolectures.net/site/normal_dl/tag=725527/eccv2012_silberman_images_01.pdf", "http://web.engr.illinois.edu/~dhoiem/publications/eccv2012_indoorkinect_nathan.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33715-4_54"]}, {"id": "2f56b1ac5b9faac9527b6814778925e9242cf5fd", "title": "Training Region-Based Object Detectors with Online Hard Example Mining", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780458"]}, {"id": "42764b57d0794b63487a295ce8c07eeb6961477e", "title": "Instance-Aware Semantic Segmentation via Multi-task Network Cascades", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780712"]}, {"id": "6a1b76f1ef876061ec479ab9bc13fcd517eb4188", "title": "Large Kernel Matters \u2014 Improve Semantic Segmentation by Global Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02719.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": "24d66ec9dd202a6ea02b8723ae9d2fd7ffd32a4a", "title": "BING: Binarized Normed Gradients for Objectness Estimation at 300fps", "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_01.pdf", "http://mmcheng.net/mftp/Papers/BingPoster.pdf", "http://mmcheng.net/mftp/Papers/ObjectnessBING.pdf", "http://orca-mwe.cf.ac.uk/115427/1/CvmBING.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/BING-Binarized-Normed-Gradients-for-Objectness-Estimation-at-300fps.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cheng_BING_Binarized_Normed_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/14cvprObjectnessBING.pdf", "https://zimingzhang.files.wordpress.com/2014/10/14cvprobjectnessbing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909816", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.414", "http://doi.org/10.1109/CVPR.2014.414"]}, {"id": "21d4258394a9c8f0ea15f0792d67f7e645720ff6", "title": "Multiscale Combinatorial Grouping", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909443"]}, {"id": "58a6eb3584b2f5df2f25d39a218904d510cae516", "title": "The UAVid Dataset for Video Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10438.pdf"], "doi": []}, {"id": "1779b6a17ee68afafb6801477b165f19901689b2", "title": "Object Contour Detection with a Fully Convolutional Encoder-Decoder Network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780397"]}, {"id": "ab9d87a03ce3538ff42b6c26d87e676107cc392c", "title": "Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619260"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "b92a1ed9622b8268ae3ac9090e25789fc41cc9b8", "title": "Pooling in image representation: The visual codeword point of view", "year": "2013", "pdf": ["http://cedric.cnam.fr/~thomen/papers/avila_CVIU2012_final.pdf", "http://webia.lip6.fr/~thomen/papers/avila_CVIU2012_accepted.pdf"], "doi": ["https://doi.org/10.1016/j.cviu.2012.09.007"]}, {"id": "3282ae3a0111d4ff1176c513a0c65e9351f045e4", "title": "Generating Object Segmentation Proposals Using Global and Local Search", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909706"]}, {"id": "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "title": "Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2031.pdf"], "doi": []}, {"id": "031055c241b92d66b6984643eb9e05fd605f24e2", "title": "Multi-fold MIL Training for Weakly Supervised Object Localization", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cinbis_Multi-fold_MIL_Training_2014_CVPR_paper.pdf", "https://hal.inria.fr/hal-00975746/PDF/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909705", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.309", "http://doi.org/10.1109/CVPR.2014.309"]}, {"id": "501d004186c1ebe7da5e3a0631624e0b55ebeabb", "title": "Learning Coupled Feature Spaces for Cross-Modal Matching", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751370"]}, {"id": "e1c17b0271c12033e78662d6d7ccb56ad321992c", "title": "Interactive comment on \u201c Impact of VOCs on the formation of ozone in a central China city during severe pollution periods \u201d by Bowei", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1c1/7b0271c12033e78662d6d7ccb56ad321992c.pdf"], "doi": []}, {"id": "aa4cc6506e837390486e5b836fb3dac8d15daafa", "title": "ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCVW_2018/papers/11134/Kniaz_ThermalGAN_Multimodal_Color-to-Thermal_Image_Translation_for_Person_Re-Identification_in_Multispectral_ECCVW_2018_paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-11024-6_46"]}, {"id": "522fab628aab972f39835521e31564b4b6c64fe5", "title": "Vehicle Classification on Low-resolution and Occluded images : A low-cost labeled dataset for augmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/522f/ab628aab972f39835521e31564b4b6c64fe5.pdf"], "doi": []}, {"id": "79267f6c2df78cca735e0bf7ed27b9f9ff263224", "title": "Instance-sensitive Fully Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08678.pdf"], "doi": []}, {"id": "2ec2f8cd6cf1a393acbc7881b8c81a78269cf5f7", "title": "Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2ec2/f8cd6cf1a393acbc7881b8c81a78269cf5f7.pdf"], "doi": []}, {"id": "851a884a89a95968c2edcad9787994ccaa8b51a8", "title": "BING: Binarized normed gradients for objectness estimation at 300fps", "year": "2018", "pdf": ["http://mmcheng.net/mftp/Papers/ObjectnessBING.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/2014.5.6PPT.pdf"], "doi": ["https://doi.org/10.1007/s41095-018-0120-1"]}, {"id": "f78db8e59ba354258c3eb4fff2ec67564975436f", "title": "Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09263.pdf"], "doi": []}, {"id": "6de2b1058c5b717878cce4e7e50d3a372cc4aaa6", "title": "Generative Adversarial Nets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6de2/b1058c5b717878cce4e7e50d3a372cc4aaa6.pdf"], "doi": []}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "1c0e8c3fb143eb5eb5af3026eae7257255fcf814", "title": "Weakly Supervised Deep Detection Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02853.pdf"], "doi": []}, {"id": "67490b6f34c827f107b046adeef0f5476132d4f8", "title": "How good are detection proposals, really?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6962.pdf"], "doi": []}, {"id": "00f8d6db6cf5c5e2a9df1604a09db06d8eb574dd", "title": "Geometric Mining: Scaling Geometric Hashing to Large Datasets", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406484"]}, {"id": "33da83b54410af11d0cd18fd07c74e1a99f67e84", "title": "DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1310.1531.pdf"], "doi": []}, {"id": "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "title": "CNN-RNN: A Unified Framework for Multi-label Image Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04573.pdf"], "doi": []}, {"id": "1cf29a0131211079fc73908ecf211ee78f090ad9", "title": "Regionlets for Generic Object Detection", "year": "2013", "pdf": ["http://image-net.org/challenges/LSVRC/2013/slides/ILSVRC2013_NEC.pdf", "http://users.eecs.northwestern.edu/~mya671/mypapers/ICCV13_Wang_Yang_Zhu_Lin.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201510210855/regionlets.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/Regionlets%20for%20Generic%20Object%20Detection.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Wang_Regionlets_for_Generic_2013_ICCV_paper.pdf", "http://www.ece.northwestern.edu/~mya671/mypapers/ICCV13_Wang_Yang_Zhu_Lin.pdf", "http://www.xiaoyumu.com/s//PDF/Regionlets.pdf", "http://www.xiaoyumu.com/s/PDF/Regionlets-pami.pdf", "http://www.xiaoyumu.com/s/slides/Regionlets_imagenet_web.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751111", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.10", "http://doi.org/10.1109/TPAMI.2015.2389830", "https://www.ncbi.nlm.nih.gov/pubmed/26353185", "https://www.wikidata.org/entity/Q50562532"]}, {"id": "08fe9658c086b842980e86c66bde3cef95bb6bec", "title": "Deformable part models are convolutional neural networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.5403.pdf"], "doi": []}, {"id": "79cfb51a51fc093f66aac8e858afe2e14d4a1f20", "title": "Focal Loss for Dense Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237586"]}, {"id": "2640a376c2b51f83420526646613e85d730eab37", "title": "Saliency Detection via Graph-Based Manifold Ranking", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619251"]}, {"id": "3dd2f70f48588e9bb89f1e5eec7f0d8750dd920a", "title": "Fast R-CNN", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410526"]}, {"id": "c88c233c50f49b4b85a8702d5ee384d96fca8c23", "title": "Object-Proposal Evaluation Protocol is \u2018Gameable\u2019", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780466"]}, {"id": "2a94c84383ee3de5e6211d43d16e7de387f68878", "title": "Feature Pyramid Networks for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099589"]}, {"id": "35173e7bff5490a1701d02eda6f406a404111953", "title": "Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781017"]}, {"id": "cdfe4e46d949b68c682e554c402d16679fd7247c", "title": "Stacked Deconvolutional Network for Semantic Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04943.pdf"], "doi": []}, {"id": "647c6ac5e0bfee0241d583650f18c6314f28aaee", "title": "Segmentation Driven Object Detection with Fisher Vectors", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cinbis_Segmentation_Driven_Object_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.369", "http://doi.org/10.1109/ICCV.2013.369"]}, {"id": "1cf25786f1e473fdbfcd817cfa37b0ad12806e72", "title": "Co-segmentation by Composition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751271"]}, {"id": "272216c1f097706721096669d85b2843c23fa77d", "title": "Adam: A Method for Stochastic Optimization", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6980.pdf"], "doi": []}, {"id": "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "b9c830332608afbbf452a20afeff38ca5aac2e27", "title": "Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410477"]}, {"id": "3671d0262c502e292fa8d2333ab50b3e827dbcee", "title": "Relaxed Multiple-Instance SVM with Application to Object Discovery", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410502"]}, {"id": "14b5e8ba23860f440ea83ed4770e662b2a111119", "title": "Visualizing and Understanding Convolutional Networks", "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.2901.pdf"], "doi": []}, {"id": "3bde1aae1db3577938ffe910a9de5a1f187840e9", "title": "RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780684"]}, {"id": "e257d1df3d9f979e37e97fe65f879a12703f80bd", "title": "Fast Image Classification by Boosting Fuzzy Classifiers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01068.pdf"], "doi": []}, {"id": "4c5a07ab1700a67afaf16fc9a7a2647f51358255", "title": "DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.05484.pdf"], "doi": []}, {"id": "94c5ced03a6f896a4b3bc5a98b8b2baf349d8852", "title": "Fully Convolutional Instance-Aware Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099955"]}, {"id": "beac53e8074b4822943a3374ff5e9fed98a891b8", "title": "Generate to Adapt: Aligning Domains Using Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578985"]}, {"id": "c0a0adb7f02d5509969e6107c914f7cc6e9ec881", "title": "Semantic Instance Segmentation via Deep Metric Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10277.pdf"], "doi": []}, {"id": "59c2f171f95941b5e36fc56fcbc6fa4d66b5fb55", "title": "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09246.pdf"], "doi": []}, {"id": "5c44807fb7a38d4c9c3ef3bdfb950b44c4a02a3f", "title": "Viewpoints and keypoints", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6067.pdf"], "doi": []}, {"id": "0cf8443bcb14cfd6ac5bcf0e3775c0aad45558b4", "title": "CRAFT Objects from Images", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781019"]}, {"id": "51ea36ff126f8b4546e46a8876b0a644659fc2f5", "title": "Higher Order Conditional Random Fields in Deep Neural Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.08119.pdf"], "doi": []}, {"id": "faeda3ca4ff5cc11717147f85d6416f704143120", "title": "Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d1f5/2a2daaa0421ae40dec1804ff32449175f19b.pdf"], "doi": []}, {"id": "28bc378a6b76142df8762cd3f80f737ca2b79208", "title": "Understanding Objects in Detail with Fine-Grained Attributes", "year": "2014", "pdf": ["http://people.cs.umass.edu/~smaji/papers/oid-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vedaldi_Understanding_Objects_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909858", "http://doi.org/10.1109/CVPR.2014.463", "https://www.wikidata.org/entity/Q58050718"]}, {"id": "56466f99025c26a163c8f6a9d31955f090230809", "title": "STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28114002", "https://doi.org/10.1109/TPAMI.2016.2636150"]}, {"id": "f0ee079a1f40736e5b7760b38781f090744f37fc", "title": "Contextualizing Object Detection and Classification", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353205", "https://doi.org/10.1109/TPAMI.2014.2343217", "https://www.wikidata.org/entity/Q40558547"]}, {"id": "27eca38a375af431430ca458ab3c723c59328634", "title": "ATLAS: A Three-Layered Approach to Facade Parsing", "year": "2015", "pdf": ["https://varcity.ethz.ch/paper/ijcv2015_mathias_atlas.pdf"], "doi": ["https://doi.org/10.1007/s11263-015-0868-z"]}, {"id": "32248e2a2f103cfdfe7e6a944dc0e4373e95d7b8", "title": "Deep Fisher Kernels -- End to End Learning of the Fisher Kernel GMM Parameters", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909578"]}, {"id": "3fd90098551bf88c7509521adf1c0ba9b5dfeb57", "title": "Attribute-Based Classification for Zero-Shot Visual Object Categorization", "year": "2014", "pdf": ["http://pub.ist.ac.at/~chl/papers/lampert-pami2013.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/zsl2016/zslpubs/lampert13pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6571196", "http://doi.org/10.1109/TPAMI.2013.140", "https://www.ncbi.nlm.nih.gov/pubmed/24457503", "https://www.wikidata.org/entity/Q38437353"]}, {"id": "15e024d8f5625ec03c8ac592fbc093687cfb5f02", "title": "The Visual Object Tracking VOT2015 Challenge Results", "year": "2015", "pdf": ["http://cell.missouri.edu/media/publications/Matej-KristanRengarajan_VOT2015-challenge-results_ICCVW-2015.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/Kristan2013The.pdf", "http://data.votchallenge.net/vot2015/presentations/vot_2015_paper.pdf", "http://liris.cnrs.fr/Documents/Liris-6875.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w14/papers/Kristan_The_Visual_Object_ICCV_2015_paper.pdf", "http://www.epics-project.eu/publications/2013_kristan_iccvw.pdf", "http://www.epics-project.eu/publications/2014_kristan_iccvw.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674992/visual_kristan_ICCVW_2015_ps.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406428", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.79", "http://doi.org/10.1109/ICCVW.2015.79", "https://hal.archives-ouvertes.fr/hal-01336773/document"]}, {"id": "a1bcdb820f6f0dde108996a18eefb239ef0e9566", "title": "Visual Tracking: An Experimental Survey.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353314", "https://doi.org/10.1109/TPAMI.2013.230"]}, {"id": "1af794673d64112edf60f071ca24066e6a227d2b", "title": "Online Object Tracking: A Benchmark", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619156"]}, {"id": "d082f64b8a0a07d105207eb822be58ffb61b353a", "title": "EMOTIC: Emotions in Context Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Lapedriza_EMOTIC_Emotions_in_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015019", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.285", "http://doi.org/10.1109/CVPRW.2017.285"]}, {"id": "2822a883d149956934a20614d6934c6ddaac6857", "title": "A survey of appearance models in visual object tracking", "year": "2013", "pdf": ["https://arxiv.org/pdf/1303.4803.pdf"], "doi": []}, {"id": "f727837e03a039d9bcec6d02cd87256f5a5854a4", "title": "Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03409.pdf"], "doi": []}, {"id": "ebe5a4c2dc3ca55a5aeedcd25a98ca6e446ce9cc", "title": "Hippocampal Activity Patterns Carry Information about Objects in Temporal Context", "year": "2014", "pdf": ["http://cogns.northwestern.edu/cbmg/pdfs/2.Hsieh_2014.pdf", "http://dml.ucdavis.edu/uploads/6/1/9/7/61974117/hseih_2014_hippocampal.pdf", "http://orca.cf.ac.uk/96034/7/Hsieh_NEURON-D-13-01629.1.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0896627314000208", "https://doi.org/10.1016/j.neuron.2014.01.015", "https://www.ncbi.nlm.nih.gov/pubmed/24607234"]}, {"id": "b7d540cd0de72e984cdec44afa4a4d039cfd5eea", "title": "Object Tracking Benchmark", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami15_tracking_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001050", "http://doi.org/10.1109/TPAMI.2014.2388226", "https://www.ncbi.nlm.nih.gov/pubmed/26353130", "https://www.wikidata.org/entity/Q35768210"]}, {"id": "149e5e5eeea5a9015ab5ae755f62c45ef70fa79b", "title": "Hierarchical Convolutional Features for Visual Tracking", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_tracking.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "https://filebox.ece.vt.edu/~jbhuang/poster/ICCV_2015_HCF_Poster.pdf", "https://filebox.ece.vt.edu/~jbhuang/slides/ICCV_2015_HCF_Slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410709", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.352", "http://doi.org/10.1109/ICCV.2015.352"]}, {"id": "05375a7489f0a84d47a316bacb4d86e8a7bda0df", "title": "Analysis of Scores, Datasets, and Models in Visual Saliency Prediction", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751224"]}, {"id": "58e6eaacaab3fbf9b307a8aec1c614027ff501ce", "title": "Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition", "year": "2012", "pdf": ["http://109.101.234.42/documente/publications/19-62.pdf", "http://sminchisescu.ins.uni-bonn.de/papers/ms12eccv.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w09-levent.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_60"]}, {"id": "36c91b1342c1357877e89b4c43f8eadb39755c0b", "title": "Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses", "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/YaoFei-Fei_PAMI2012.pdf", "http://cs.stanford.edu/groups/vision/pdf/yaopami12.pdf", "http://vision.stanford.edu/pdf/yaopami12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6165303", "http://doi.org/10.1109/TPAMI.2012.67", "https://www.ncbi.nlm.nih.gov/pubmed/22392710", "https://www.wikidata.org/entity/Q34185448"]}, {"id": "5b130e2a1fc3f71b7638cc5dde72481cf33264cc", "title": "Scene Recognition with CNNs: Objects, Scales and Dataset Bias", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780437"]}, {"id": "0da75bded3ae15e255f5bd376960cfeffa173b4e", "title": "The Role of Context for Object Detection and Semantic Segmentation in the Wild", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909514"]}, {"id": "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "title": "Visual Question Answering: Datasets, Algorithms, and Future Challenges", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.01465.pdf"], "doi": []}, {"id": "88c307c51594c6d802080a0780d0d654e2e2891f", "title": "Visual Question Answering: A Survey of Methods and Datasets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05910.pdf"], "doi": []}, {"id": "3cfbb77e5a0e24772cfdb2eb3d4f35dead54b118", "title": "Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2353/17b7ce64b4b3aefe57c1304e8157a4832d2c.pdf"], "doi": []}, {"id": "18e39b6f8f5c538d639bc0b46136ed93b5e3ef35", "title": "A Large Dataset of Object Scans", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.02481.pdf"], "doi": []}, {"id": "b31d6f201340ecec35bbe0f477710436f860605e", "title": "Learning Video Object Segmentation with Visual Memory", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237742"]}, {"id": "0558c94a094158ecd64f0d5014d3d9668054fb97", "title": "Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/528d/141aba97074977a332bb2d96364b716f246c.pdf"], "doi": []}, {"id": "09a503095db2d68b439e48d67481399198ed0e5b", "title": "Recurrent Models of Visual Attention", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6247.pdf"], "doi": []}, {"id": "350d507f5d899e4d7293b1aa951aa0f81b9fd30a", "title": "The Visual Object Tracking VOT2017 Challenge Results", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Kristan_The_Visual_Object_ICCV_2017_paper.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265440", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.230", "http://doi.org/10.1109/ICCVW.2017.230"]}, {"id": "7e232313a59d735ef7c8a9f4cc7bc980a29deb5e", "title": "Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1116-0"]}, {"id": "b4ee2a6b5fdf66f57e94a998cff2acef4af7d256", "title": "Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes", "year": "2013", "pdf": ["https://www.d2.mpi-inf.mpg.de/sites/default/files/wojek2013pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6265058", "http://doi.org/10.1109/TPAMI.2012.174", "https://www.ncbi.nlm.nih.gov/pubmed/22889818", "https://www.wikidata.org/entity/Q45823527"]}, {"id": "2ce63d77eecc35faef85a3b752a314c93a077ac9", "title": "Learning Multi-domain Convolutional Neural Networks for Visual Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780834"]}, {"id": "1c66fa1f3f189ca25bd657f53d77fde64c75f3da", "title": "Adaptive Color Attributes for Real-Time Visual Tracking", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909539"]}, {"id": "eb66303192a89c314ce4acae640ba700fa3293a3", "title": "Unsupervised Object Annotation through Context Analysis", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb66/303192a89c314ce4acae640ba700fa3293a3.pdf"], "doi": []}, {"id": "079ed21601974d0604544a6d816c2f51b5c039b8", "title": "Enriching Visual Knowledge Bases via Object Discovery and Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909658"]}, {"id": "7574b7e5a75fdd338c27af5aeb77ab79460c4437", "title": "Learning Dynamic Siamese Network for Visual Object Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237458"]}, {"id": "38a169b6e67ef7768f91fa208c9b5544f6f57f16", "title": "Object Bank: An Object-Level Image Representation for High-Level Visual Recognition", "year": "2013", "pdf": ["http://cs.stanford.edu/groups/vision/pdf/li_ijcv2013.pdf", "http://vision.stanford.edu/pdf/li_ijcv2013.pdf", "http://www.tpbin.com/Uploads/Subjects/79181d36-c45c-4f6c-821f-b7f9fcac3881.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0660-x"]}, {"id": "5527dd901b836e2f164c9fa3e62f57cd70c21745", "title": "3D object retrieval via range image queries in a bag-of-visual-words context", "year": "2013", "pdf": ["http://graphics.di.uoa.gr/Downloads/papers/journals/p43.pdf", "http://www.idi.ntnu.no/grupper/vis/wp-content/uploads/2013/09/Range3DRetrievalTVCfinal.pdf"], "doi": ["https://doi.org/10.1007/s00371-013-0876-3"]}, {"id": "5ea8a9ae2bf40c4722e618b732f769744ab57dfe", "title": "Context Driven Scene Parsing with Attention to Rare Classes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909817"]}, {"id": "2d84f49572c2b29b6c9e1818eb57e7f12bc4236e", "title": "Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751322"]}, {"id": "00319cd17cebae5e1095a248260bd7be15781362", "title": "A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01277.pdf"], "doi": []}, {"id": "0f060f011fe3093a24bf2cde96a4a833f58ec5a5", "title": "Object-based visual query suggestion", "year": "2012", "pdf": ["https://www.researchgate.net/profile/Pierre_Letessier/publication/257627352_Object-based_visual_query_suggestion/links/00b7d5260034959679000000.pdf"], "doi": ["https://doi.org/10.1007/s11042-012-1340-5"]}, {"id": "33baa52f583fb049f473a53d8e0ca5ac8e7abbf2", "title": "Reinforcement Learning for Visual Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780685"]}, {"id": "1631bc8b8fe853278b8e54bd3e9fff1445fa9f91", "title": "Visual Distance Measures for Object Retrieval", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411668"]}, {"id": "4a8e9e179b58d3e10448f5e4680b66f34c8bc573", "title": "Learning to segment moving objects in videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299035"]}, {"id": "0f6a8e9139cdd15fd0a8a292204aed21a8b51c5a", "title": "ReferItGame: Referring to Objects in Photographs of Natural Scenes", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f6a/8e9139cdd15fd0a8a292204aed21a8b51c5a.pdf"], "doi": []}, {"id": "1ced31e02234bc3d1092ffb2c7442ffbd51cb309", "title": "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780807"]}, {"id": "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "title": "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00982.pdf"], "doi": []}, {"id": "efa08283656714911acff2d5022f26904e451113", "title": "Active Object Localization in Visual Situations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00548.pdf"], "doi": []}, {"id": "1f7127b9ae86d7fac305c6b824801e455e82f511", "title": "Visual relationship detection with object spatial distribution", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019448", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019448", "http://doi.org/10.1109/ICME.2017.8019448"]}, {"id": "051830b0ea58d1568f19ec3297e301d9789c9a76", "title": "Bringing Semantics into Focus Using Visual Abstraction", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes.pdf", "http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes_rob.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d009.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zitnick_Bringing_Semantics_into_2013_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/ZitnickParikh_CVPR_2013_clipart.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619231", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.387", "http://doi.org/10.1109/CVPR.2013.387"]}, {"id": "64c4019f1ea9b54b1848418ac53c4e2584dc62d4", "title": "ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7433003"]}, {"id": "9a8e61cc9a95efe9e35df4d4230c7b8a655b7392", "title": "Unsupervised Joint Object Discovery and Segmentation in Internet Images", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619097"]}, {"id": "022027ce7475029f78fb3cdb758d947a8978ab5c", "title": "Invariant visual object recognition: biologically plausible approaches", "year": "2015", "pdf": ["http://wrap.warwick.ac.uk/77413/1/WRAP_422_2015_Article_658.pdf", "http://www.oxcns.org/papers/554%20Robinson%20Rolls%202015%20Invariant%20visual%20object%20recognition%20Biologically%20plausible%20models.pdf"], "doi": ["https://doi.org/10.1007/s00422-015-0658-2", "https://www.ncbi.nlm.nih.gov/pubmed/26335743", "https://www.wikidata.org/entity/Q43248757"]}, {"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": "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "title": "AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578731"]}, {"id": "ac6c28cd866bccbbca54da8b7bd5b2e0d5e9d0b4", "title": "Cross-Dataset Learning of Visual Concepts", "year": "2012", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/Semantic-Technologies/paper/amr2012.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-12093-5_4"]}, {"id": "bbe7f4217a9bd9c6d3826b5b62d59d183e729383", "title": "Discriminative Hough context model for object detection", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0780-x"]}, {"id": "55ca9fe4ae98904bfe026d22dcf1420ff9c0dd86", "title": "Dataset for Visual Reasoning", "year": "2017", "pdf": [], "doi": []}, {"id": "20f9a09defe5b02b98c464ca6df36b3b6358f60b", "title": "The State-of-the-Art in Visual Object Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cd46/4a309fa1736e1373f0bb06baf75e3d0abcac.pdf"], "doi": []}, {"id": "d86fabd4498c8feaed80ec342d254fb877fb92f5", "title": "Region-Object Relevance-Guided Visual Relationship Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d86f/abd4498c8feaed80ec342d254fb877fb92f5.pdf"], "doi": []}, {"id": "4405b44b5597787c42abeca6d0b3172175557b7b", "title": "Object discovery in 3D scenes via shape analysis", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6630857"]}, {"id": "8da0771e47c32405c4877cedce3ff84ac7390646", "title": "A survey of datasets for visual tracking", "year": "2015", "pdf": ["http://www.isir.upmc.fr/files/2015ACLI3545.pdf"], "doi": ["https://doi.org/10.1007/s00138-015-0713-y", "http://hal.upmc.fr/hal-01217152/document"]}, {"id": "4a75c3441cef2069458fe61a01196c2c8b32ee92", "title": "Single-trial classification of EEG in a visual object task using ICA and machine learning", "year": "2014", "pdf": ["https://www.research.ed.ac.uk/portal/files/14632594/Stewart.JNeurosciMeth.228.2014.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027014000752", "https://doi.org/10.1016/j.jneumeth.2014.02.014", "https://www.ncbi.nlm.nih.gov/pubmed/24613798"]}, {"id": "1456f147381bf7c385225d854c2fb48c19eca285", "title": "LCAV-31: a dataset for light field object recognition", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/197737/files/902014.pdf"], "doi": ["http://doi.org/10.1117/12.2041097"]}, {"id": "d7ed761cfe1b71aa7e4d08c355fcab131558f8c8", "title": "Learning Object Models on a Robot using Visual Context and Appearance Cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d7ed/761cfe1b71aa7e4d08c355fcab131558f8c8.pdf"], "doi": []}, {"id": "d53c79cce46820642f2d4e0f0dac9b31d1201f24", "title": "Visual object trapping", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.cviu.2016.07.007"]}, {"id": "5ffd74d2873b7cba2cbc5fd295cc7fbdedca22a2", "title": "The Cityscapes Dataset", "year": "2015", "pdf": [], "doi": []}, {"id": "14ca963b4e0b87fc7213b8e3a3e2371cee7ffad6", "title": "Exploring Causal Relationships in Visual Object Tracking", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410708"]}, {"id": "f9c602cc436a9ea2f9e7db48c77d924e09ce3c32", "title": "Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07747.pdf"], "doi": []}, {"id": "3ecb007d46614d5e5566b0ad7c96c0c4c8ac0d14", "title": "Enhancing Object Recognition With Dynamic Cognitive Context", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3ecb/007d46614d5e5566b0ad7c96c0c4c8ac0d14.pdf"], "doi": []}, {"id": "c8018f3dc6121d92da37f1756e7bd11a128aa55c", "title": "Region Filling and Object Removal by Exemplar based Image Inpainting", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c801/8f3dc6121d92da37f1756e7bd11a128aa55c.pdf"], "doi": []}, {"id": "051d8bbf12877c46ae9a598a386c5b72d1b103ac", "title": "Object Detection using Geometrical Context Feedback", "year": "2012", "pdf": ["http://cvgl.stanford.edu/papers/Sun_IJCV_2012.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0547-2"]}, {"id": "b0cd469a06fb2eae3a5cc0c860aa592f71b13f6d", "title": "IQA: Visual Question Answering in Interactive Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578528"]}]}
\ No newline at end of file
+{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "citations": [{"id": "c399c0089fb134d1476fadf5f0426e0e8b70eebd", "title": "The Lov\u00e1sz Hinge: A Novel Convex Surrogate for Submodular Losses.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07797.pdf"], "doi": []}, {"id": "6b6fcf1220ea100aa80004018c78b137289d3c50", "title": "CAD: Scale Invariant Framework for Real-Time Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265304"]}, {"id": "656f05741c402ba43bb1b9a58bcc5f7ce2403d9a", "title": "Supervised Learning Approaches for Automatic Structuring of Videos. (M\u00e9thodes d'apprentissage supervis\u00e9 pour la structuration automatique de vid\u00e9os)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/656f/05741c402ba43bb1b9a58bcc5f7ce2403d9a.pdf"], "doi": []}, {"id": "aa3398e15395a2a380c7c6b3f274c8c60fb0b48c", "title": "Chained Cascade Network for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237476"]}, {"id": "e58434a01c45505995b000f5e631843a2f2ea582", "title": "Scale coding bag of deep features for human attribute and action recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.04884.pdf"], "doi": []}, {"id": "eaf65c7cf4e9f7868c61f48656cb608fae0adcee", "title": "Visual dictionaries as intermediate features in the human brain", "year": "2014", "pdf": ["http://journal-cdn.frontiersin.org/article/104962/files/pubmed-zip/versions/1/pdf", "http://journal.frontiersin.org/article/10.3389/fncom.2014.00168/pdf", "https://pure.uva.nl/ws/files/2455021/162945_fncom_08_00168.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25642183", "http://doi.org/10.3389/fncom.2014.00168", "https://www.wikidata.org/entity/Q34969835"]}, {"id": "4c5d723dd83250c6b289c94318717de2d373a6ed", "title": "Learning Image Classification and Retrieval Models", "year": "2012", "pdf": [], "doi": []}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.pdf"], "doi": []}, {"id": "095ccb4e2e0f3934dc1aa51c685b2f54c8a6e588", "title": "Derivate-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01906.pdf"], "doi": []}, {"id": "a221588fd2d062462254481cfd9563fec2f7c387", "title": "Deep neural network ensemble architecture for eye movements classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8345537"]}, {"id": "67126ad0af544740c455311d08cb180aec830a6c", "title": "Generating Descriptions of Spatial Relations between Objects in Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6712/6ad0af544740c455311d08cb180aec830a6c.pdf"], "doi": []}, {"id": "823db813f036365cf9b22b2081ec167a2b582532", "title": "Segmentation and Shape Extraction from Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354273", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00169", "http://doi.org/10.1109/WACV.2018.00169", "http://www.grk1564.uni-siegen.de/publicationPDFbyID?ID=926"]}, {"id": "f3ccdf54a3384e601fa36969e7b3f657e2516a3b", "title": "Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention 1 : 3", "year": "2017", "pdf": [], "doi": []}, {"id": "2c9c597ab660815e07980e9655c3c5989402205b", "title": "Vision-Based Reacquisition for Task-Level Control", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2c9c/597ab660815e07980e9655c3c5989402205b.pdf"], "doi": []}, {"id": "aae1bf434983545c8a99a5dbfc2ce37435c76e03", "title": "SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00248.pdf"], "doi": []}, {"id": "ff18125a8f549135e6320fed91d0002bd2dae635", "title": "Colour Terms: a Categorisation Model Inspired by Visual Cortex Neurons", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06300.pdf"], "doi": []}, {"id": "3e50e351687779c05390daf117f0394d1556cd3c", "title": "Die Detektion interessanter Objekte unter Verwendung eines objektbasierten Aufmerksamkeitsmodells", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e50/e351687779c05390daf117f0394d1556cd3c.pdf"], "doi": []}, {"id": "065f05c9cb2a6080191851dd82cd9b439a77499a", "title": "Comparing Boosted Cascades to Deep Learning Architectures for Fast and Robust Coconut Tree Detection in Aerial Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/065f/05c9cb2a6080191851dd82cd9b439a77499a.pdf"], "doi": []}, {"id": "4ba503d8f173880d8e8402808f54b78b653e5d20", "title": "Accelerating Stochastic Gradient Descent via Online Learning to Sample", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4ba5/03d8f173880d8e8402808f54b78b653e5d20.pdf"], "doi": []}, {"id": "03a2235fea70317461222fac05e38ee35ead9711", "title": "Implementation of a Computer Vision Algorithm for Onboard Detection of Unmanned Aircraft submitted by Luk\u00e1\u0161 Bauer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03a2/235fea70317461222fac05e38ee35ead9711.pdf"], "doi": []}, {"id": "d07dabdea9e2e4546b09d07a019723ceb6c61b84", "title": "Deep learning for text spotting", "year": "2015", "pdf": [], "doi": []}, {"id": "7f66ff8dd0313fc9c7d67be7ea5aecdda956657c", "title": "Tracking-by-Segmentation with Online Gradient Boosting Decision Tree", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410707", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.350", "http://doi.org/10.1109/ICCV.2015.350"]}, {"id": "4896c9f6958137c88db29a3a707aafae3c29d106", "title": "Discriminative Re-ranking of Diverse Segmentations", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619095"]}, {"id": "858555b6f4663fe083d6c81a2671c9cd8130bbf3", "title": "Object Discovery via Cohesion Measurement", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.08944.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": "369bd35ab8bad4c7bc5e376cc776a5366d97b12e", "title": "An Object Detector Trained on Line Drawings", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/369b/d35ab8bad4c7bc5e376cc776a5366d97b12e.pdf"], "doi": []}, {"id": "46971fb6caa61c606b046da855be4e196a830ccf", "title": "Identification of Scene Text by Character Descriptor in Smart Mobile Devices", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4697/1fb6caa61c606b046da855be4e196a830ccf.pdf"], "doi": []}, {"id": "afad16c9fee11d8f78785af6b1856beb86b5ccf4", "title": "Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08011.pdf"], "doi": []}, {"id": "9089280062cf40870a322d687c2850d45c02ebae", "title": "Single Image Action Recognition by Predicting Space-Time Saliency", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04641.pdf"], "doi": []}, {"id": "cf384eda31030a45238ebd8356ace7600da5076b", "title": "Cross-Domain CNN for Hyperspectral Image Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00093.pdf"], "doi": []}, {"id": "44c5e66e58dd8212b753662e08cc0a7c8327ec50", "title": "Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-ijcv14.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-ijcv14.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0778-5"]}, {"id": "83acbf0bee402b0472ff101cee5942f4137d91c3", "title": "Semi-automatic Annotation on Image Segmentation Hierarchies", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/83ac/bf0bee402b0472ff101cee5942f4137d91c3.pdf"], "doi": []}, {"id": "e9af96d478b487fec9a06dde9e43b2ed3355ea7b", "title": "Automatic thresholding of SIFT descriptors", "year": "2016", "pdf": ["https://arxiv.org/pdf/1811.03173.pdf"], "doi": []}, {"id": "b1369e4785dd0b23f89ca76f45468049c8667863", "title": "1 DARTS : Deceiving Autonomous Cars with Toxic Signs", "year": "2018", "pdf": [], "doi": []}, {"id": "1a5151b4205ab27b1c76f98964debbfc11b124d5", "title": "Self Paced Deep Learning for Weakly Supervised Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.07651.pdf"], "doi": []}, {"id": "f1d8c377093ecf64afd7f17383738e81666fe5ae", "title": "Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10805.pdf"], "doi": []}, {"id": "12ff1c48f5776fda9d156c7b324af3f2674420a9", "title": "Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12ff/1c48f5776fda9d156c7b324af3f2674420a9.pdf"], "doi": []}, {"id": "e4dc24e4926df4de3e8d7ca7cd1f4115e91f03e1", "title": "Instance-level video segmentation from object tracks Anonymous CVPR submission", "year": "", "pdf": ["https://pdfs.semanticscholar.org/e4dc/24e4926df4de3e8d7ca7cd1f4115e91f03e1.pdf"], "doi": []}, {"id": "194af94f1ea9357bebb0aab5ab98aa0daa21ddbd", "title": "Snapshot Distillation: Teacher-Student Optimization in One Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00123.pdf"], "doi": []}, {"id": "9d67f5adf4497ba99201d318cfbbed07e926c05b", "title": "Unseen Object Segmentation in Videos via Transferable Representations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02444.pdf"], "doi": []}, {"id": "0caef87116f62fcc86735401a9aa9d4e170ffbef", "title": "On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics", "year": "2015", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Das_ITSC2015.pdf", "http://cvrr.ucsd.edu/publications/2015/DasOhnbarTrivedi_ITSC2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313566", "http://doi.org/10.1109/ITSC.2015.473"]}, {"id": "806aea24148fc2ef851803c216a0a25894d78bf4", "title": "Correlation filter based visual trackers for person pursuit using a low-cost Quadrotor", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294481", "http://doi.org/10.1109/I4CS.2015.7294481"]}, {"id": "63ed42249d7cbb21a4b0d42419d42b014ff114eb", "title": "Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4817/826f1af10e0c31dee067f8d9255d6387d486.pdf"], "doi": []}, {"id": "1b1323b4677c640ae8835a9ccab611ca1e9652e3", "title": "Robust object tracking with a hierarchical ensemble framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.06925.pdf"], "doi": []}, {"id": "557e5e38a4c5b95e2bc86f491b03e5c8c7add857", "title": "Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/kwak2016.pdf", "https://vlg.dgist.ac.kr/research/pose_emb/data/CVPR2016_pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780903", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.534", "http://doi.org/10.1109/CVPR.2016.534"]}, {"id": "6bcc2b50e32bdbb0c668f75000badf21e6cd0839", "title": "Knowledge Projection for Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09505.pdf"], "doi": []}, {"id": "071680ca97de050a372ea79f2b99f102bb3ca6ef", "title": "Inferring Unseen Views of People", "year": "2014", "pdf": ["http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-paper.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-poster.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/supp.pdf", "http://www.cs.utexas.edu/~chaoyeh/cvpr_2014_Inferring_Unseen_Views_of_People%20(2).pdf", "http://www.cs.utexas.edu/~grauman/papers/chen-pose-cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Inferring_Unseen_Views_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909655", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.258", "http://doi.org/10.1109/CVPR.2014.258"]}, {"id": "415c0eecce9fde7d1ba9c70bd0bfa5471760c117", "title": "Oriented Object Proposals", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cs.cityu.edu.hk/~rynson/papers/iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410397", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.40", "http://doi.org/10.1109/ICCV.2015.40"]}, {"id": "f865248065b8d6bcbce4a4053b73e4de2080ba23", "title": "Efficient object detection for high resolution images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.01257.pdf"], "doi": []}, {"id": "e0e19769ad446c2a74c0616fcfb551059c899ce6", "title": "Part level transfer regularization for enhancing exemplar SVMs", "year": "2015", "pdf": ["http://people.csail.mit.edu/yusuf/publications/2015/Aytar15/aytar15.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.04.004"]}, {"id": "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "a0703bef11c978cc8faf05eb229e29a889f8a0b1", "title": "Superpixel Hierarchy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.06325.pdf"], "doi": []}, {"id": "472de7b3c674e8f06702385569779d11b71bc8f2", "title": "Superpixel Coherency and Uncertainty Models for Semantic Segmentation", "year": "2013", "pdf": ["http://cvlab.postech.ac.kr/~tgx.lim/paper/iccv2013_semantic.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W08/papers/Baek_Superpixel_Coherency_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755909"]}, {"id": "73818ae13a89c2377c30cdb029fdb7e490fe5367", "title": "Joint cost minimization for multi-object tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078481", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078481", "http://doi.org/10.1109/AVSS.2017.8078481"]}, {"id": "ba51ce1ec7b18fa808985b919f4a201fe5e4bafb", "title": "Semantic parsing for priming object detection in indoors RGB-D scenes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ba51/ce1ec7b18fa808985b919f4a201fe5e4bafb.pdf"], "doi": []}, {"id": "23e707600c3e9a240e24eaa4ed4b0e4ec6a436c1", "title": "Automatic foreground extraction via joint CRF and online learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7f3b/115dd38a933f3a88e3b20b58862216297d63.pdf"], "doi": []}, {"id": "c5632e2117d268159225d5c307b7efbb6428ccba", "title": "Understanding image concepts using ISTOP model", "year": "2016", "pdf": ["http://www.cs.uu.nl/groups/MG/multimedia/publications/art/PR2016b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.11.010"]}, {"id": "773fd71d3d24c268c99e1c53ae87a28da3bbe0f6", "title": "Conditional Entropies as Over-Segmentation and Under-Segmentation Metrics for Multi-Part Image Segmentation", "year": "2011", "pdf": [], "doi": []}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "9ea7205ef136f207123cd6b54e15075835ae0049", "title": "Self-supervised language grounding by active sensing combined with Internet acquired images and text", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9ea7/205ef136f207123cd6b54e15075835ae0049.pdf"], "doi": []}, {"id": "6452d294af27b1f9408c9522bfb98bf00e1e4732", "title": "A novel infrared video surveillance system using deep learning based techniques", "year": "2018", "pdf": ["https://ore.exeter.ac.uk/repository/bitstream/handle/10871/32083/MTA-manuscript-revision-R2-accepted.pdf?isAllowed=y&sequence=1", "https://repository.edgehill.ac.uk/10281/6/MTA-manuscript-revision-R2.pdf"], "doi": ["https://doi.org/10.1007/s11042-018-5883-y"]}, {"id": "191beb87f84326d2cc9c427efe2a5abee8f67574", "title": "Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05462.pdf"], "doi": []}, {"id": "5020a75c45416073d0b07b1deb7382bc80de1779", "title": "Human Detection Using Learned Part Alphabet and Pose Dictionary", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf", "http://mc.eistar.net/UpLoadFiles/Papers/%5B38%5D%202014%20ECCV%20Yaocong.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930251.pdf", "https://cis.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_17"]}, {"id": "6e7248f33be3f6b44d6089b7039a5c2d84acaed0", "title": "Object cosegmentation using deep Siamese network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02555.pdf"], "doi": []}, {"id": "b8ccc5341a1b0214e9d155b019962023f344c2ee", "title": "Incremental Learning of Object Detectors without Catastrophic Forgetting", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06977.pdf"], "doi": []}, {"id": "37668092cf8b7695d4a85eb7a25e9a2ef0fd0739", "title": "Robust object detection under partial occlusion", "year": "2016", "pdf": [], "doi": []}, {"id": "49f276e1b8fd162ac3cd996becc63cab2b2535b7", "title": "Trained 3D Models for CNN based Object Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/49f2/76e1b8fd162ac3cd996becc63cab2b2535b7.pdf"], "doi": []}, {"id": "1426045c4188f09fec46d0d2f246357a230a1748", "title": "Structured Labels in Random Forests for Semantic Labelling and Object Detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6784137", "http://doi.org/10.1109/TPAMI.2014.2315814", "https://www.ncbi.nlm.nih.gov/pubmed/26352638", "https://www.wikidata.org/entity/Q38404154"]}, {"id": "efe133717899b41cd4c0b0c999da312d3af60a6e", "title": "Depth-Based Hand Pose Estimation: Methods, Data, and Challenges", "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.06378.pdf"], "doi": []}, {"id": "9caa7605c16da42761c8a27327f5f037dbf901fa", "title": "q-Gaussian mixture models for image and video semantic indexing", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2013.10.005", "http://t2r2.star.titech.ac.jp/rrws/file/CTT100664441/ATD100000413/"]}, {"id": "4bb84c9b24456fb0bb920ca83280bd9c48ad4b66", "title": "Instance-Level Video Segmentation from Object Tracks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/seguin2016.pdf", "http://www.di.ens.fr/willow/research/instancelevel/seguin16instancelevel.pdf", "http://www.di.ens.fr/~bojanowski/papers/seguin16instance.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780769", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.400", "http://doi.org/10.1109/CVPR.2016.400"]}, {"id": "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "title": "Part-Based Models for Finding People and Estimating Their Pose", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ce0d/be6b1abecb54dcc98dbe652aa63d190dbc94.pdf"], "doi": []}, {"id": "a5683661e80668e05170bf17bcbd754d1b07af74", "title": "Comparison of Data Set Bias in Object Recognition Benchmarks", "year": "2015", "pdf": ["http://vfacstaff.ltu.edu/lshamir/publications/object_recognition_dataset_bias.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299607", "http://doi.org/10.1109/ACCESS.2015.2491921"]}, {"id": "646a669f1dc38ae961fe41fbd3c83cab64ce9d53", "title": "Real-Time Seamless Single Shot 6D Object Pose Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578136"]}, {"id": "575a0e97702edcb0621a47b574949bac50e34200", "title": "Unsupervised Learning by Predicting Noise", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05310.pdf"], "doi": []}, {"id": "b9128ff3b0b96815ff41a7d5fb2b4bef69f635ca", "title": "Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04984.pdf"], "doi": []}, {"id": "7c03a0ad5202a6a31ad3b78b11f6b45ecd840616", "title": "Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c03/a0ad5202a6a31ad3b78b11f6b45ecd840616.pdf"], "doi": []}, {"id": "17342b1c4caccfc499d9ae55a68d7b93285c5d6b", "title": "Action recognition in still images using a combination of human pose and context information", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466977", "http://doi.org/10.1109/ICIP.2012.6466977"]}, {"id": "571d2b173c2db8ac751dabdfcf5a18c06f365e05", "title": "Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06301.pdf"], "doi": []}, {"id": "90e36f66c25a4c73a252102c6c6c329c36d82676", "title": "Probably Unknown: Deep Inverse Sensor Modelling In Radar", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08151.pdf"], "doi": []}, {"id": "fb710e9d897b7c1fd5275a0bcfa22711c5768990", "title": "A Graphical Model for Rapid Obstacle Image-Map Estimation from Unmanned Surface Vehicles", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb71/0e9d897b7c1fd5275a0bcfa22711c5768990.pdf"], "doi": []}, {"id": "821ba3eba1e36a29cc482f5378f4a0d0f6893159", "title": "Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07926.pdf"], "doi": []}, {"id": "b50156e76ae03a1c0b04cd2076a99b7f2b441506", "title": "An image classification method that considers privacy-preservation", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.04.056"]}, {"id": "3481a544e28cfc14108b0785eef7c12747e622ee", "title": "Online Multi-object Tracking via Structural Constraint Event Aggregation", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr16_mot.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201703210652/Online%20Multi-Object%20Tracking%20via%20Structural%20Constraint%20Event%20Aggregation.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780524", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.155", "http://doi.org/10.1109/CVPR.2016.155"]}, {"id": "7fd5d2b0a034da43a747f6b8be3e51d775a05625", "title": "A Method to Detect Boats in Images of the Amazonian Rivers", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8247064", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2017.73", "http://doi.org/10.1109/BRACIS.2017.73"]}, {"id": "13105c611a059b4825bc92ff9778f532b6a849b2", "title": "Compressing Sparse Feature Vectors Using Random Ortho-Projections", "year": "2010", "pdf": ["http://www.ee.oulu.fi/mvg/files/pdf/PID1267977.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/PID1267977.pdf", "http://www.rni.helsinki.fi/~msa/pub/ICPR2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597593", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.345", "http://doi.org/10.1109/ICPR.2010.345"]}, {"id": "0967341790643f680f3fc9dc87bfe311723be4e4", "title": "A Perception-Driven Transcale Display Scheme for Space Image Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0967/341790643f680f3fc9dc87bfe311723be4e4.pdf"], "doi": []}, {"id": "a8bf49021017e19df051a3efb7337d93ea263e37", "title": "Deep Multiple Instance Hashing for Object-based Image Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a8bf/49021017e19df051a3efb7337d93ea263e37.pdf"], "doi": []}, {"id": "347ce37f15cea5bb8d0a676562664f80e3609b78", "title": "Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04702.pdf"], "doi": []}, {"id": "0755ee472e2bc2968b16f851a16c39b3f3e2d0d0", "title": "From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227436", "http://doi.org/10.1109/DICTA.2017.8227436"]}, {"id": "659fc2a483a97dafb8fb110d08369652bbb759f9", "title": "Improving the Fisher Kernel for Large-Scale Image Classification", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/659f/c2a483a97dafb8fb110d08369652bbb759f9.pdf"], "doi": []}, {"id": "1e02dfeb93e8fd8753d2e69baf705baf8996cb81", "title": "Online Object Tracking, Learning and Parsing with And-Or Graphs", "year": "2014", "pdf": ["https://arxiv.org/pdf/1509.08067.pdf"], "doi": []}, {"id": "bdfb5f11d497b44b17d0315c3b6892f835723832", "title": "Object Captioning and Retrieval with Natural Language", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06152.pdf"], "doi": []}, {"id": "43fe9006b90137d6ce85a539685ce66c13f0e38e", "title": "A review of image-based automatic facial landmark identification techniques", "year": "", "pdf": ["https://pdfs.semanticscholar.org/43fe/9006b90137d6ce85a539685ce66c13f0e38e.pdf"], "doi": []}, {"id": "642772c38ff690d17a3ce84a1d8646aefc802139", "title": "VIDEO OBJECT TRACKING BASED ON AUTOMATIC BACKGROUND SEGMENTATION : A SURVEY", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6427/72c38ff690d17a3ce84a1d8646aefc802139.pdf"], "doi": []}, {"id": "303c08071500421c3aca758e6c7cd6a9fcbda1a8", "title": "Scene understanding with complete scenes and structured representations", "year": "2014", "pdf": [], "doi": []}, {"id": "86f0f71bff42e4bdc60014e4f94ec76d52c8eccf", "title": "Felzenszwalb-Baum-Welch: Event Detection by Changing Appearance", "year": "2013", "pdf": ["https://arxiv.org/pdf/1306.4746.pdf"], "doi": []}, {"id": "d9cc8bc5c4a4b29ab40f75b721bd9e5140d2baf6", "title": "Object Detection for Crime Scene Evidence Analysis Using Deep Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6926/4f28158f9245a06f7a2c1ae666241261cc0e.pdf"], "doi": []}, {"id": "d3f6b3ce8f7b67c1e112a79b3fe9764242c655f5", "title": "Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354202"]}, {"id": "9b6538d09e914c41345812b3086feff1dc1ae218", "title": "Detecting Comma-shaped Clouds for Severe Weather Forecasting using Shape and Motion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08937.pdf"], "doi": []}, {"id": "bf417e1c265b31720b4fb980afb83cc3a573fa6f", "title": "Representations and Similarities of Images for Visual Classification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf41/7e1c265b31720b4fb980afb83cc3a573fa6f.pdf"], "doi": []}, {"id": "4dc57432fa8fea1614a39c324bf11ae0620cb26f", "title": "Aalborg Universitet Detection of U . S . Traffic", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6e53/63af2bfb7d1b2bd13feb41c2688bd0cf12b3.pdf"], "doi": []}, {"id": "878169be6e2c87df2d8a1266e9e37de63b524ae7", "title": "Image interpretation above and below the object level.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8781/69be6e2c87df2d8a1266e9e37de63b524ae7.pdf"], "doi": []}, {"id": "3daafe6389d877fe15d8823cdf5ac15fd919676f", "title": "Human Action Localization with Sparse Spatial Supervision", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05197.pdf"], "doi": []}, {"id": "04f9b591cdfa1e3667230ae1224b1dfdac0a8ef1", "title": "Discriminative Segment Annotation in Weakly Labeled Video", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619165"]}, {"id": "4e4f2c4d2ea47636ca2ab795770d6b3214640f37", "title": "Efficient Maximum Appearance Search for Large-Scale Object Detection", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/qiangcvpr2013_final.pdf", "http://rogerioferis.com/publications/ChenCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d190.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Efficient_Maximum_Appearance_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619254", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.410", "http://doi.org/10.1109/CVPR.2013.410"]}, {"id": "9434524669777d281a8a7358f20181c9e157942e", "title": "VSEM: An open library for visual semantics representation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9434/524669777d281a8a7358f20181c9e157942e.pdf"], "doi": []}, {"id": "0e0900b88c33b671be5dd2ded9885b6526d6b429", "title": "From captions to visual concepts and back", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4952.pdf"], "doi": []}, {"id": "4d910c5ab0b70ddbef6be944077ed63821608135", "title": "On Dimensionality Reduction for Indexing and Retrieval of Large-Scale Solar Image Data", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4d91/0c5ab0b70ddbef6be944077ed63821608135.pdf"], "doi": []}, {"id": "9076183dcdb28ebb3e547f7ffd3f9d5d0faec531", "title": "Describing Video Contents in Natural Language", "year": "2012", "pdf": [], "doi": []}, {"id": "07764e1607d9e3d8094455adb658077996eb38c4", "title": "End-to-End Trained CNN Encoder-Decoder Networks for Image Steganography", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07201.pdf"], "doi": []}, {"id": "46f135110c5fc5f158bc3ffce21b9ae946c7ff68", "title": "Adaptive NormalHedge for robust visual tracking", "year": "2015", "pdf": ["https://core.ac.uk/download/pdf/33581176.pdf", "https://pure.qub.ac.uk/portal/files/13941301/main_huiyu.pdf"], "doi": ["https://doi.org/10.1016/j.sigpro.2014.08.027"]}, {"id": "b961009dedea99f948650df7291a28f18bbfc1dc", "title": "Towards Automated Visual Monitoring of Individual Gorillas in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265544"]}, {"id": "7dbc61e2dc497e9dcff98e7df832780cc8a2b60c", "title": "A Flexible Object-of-Interest Annotation Framework for Online Video Portals", "year": "2012", "pdf": ["http://www.mdpi.com/1999-5903/4/1/179/pdf"], "doi": ["https://doi.org/10.3390/fi4010179"]}, {"id": "d4f454b24a7901dea14858808bbe277c7bee8ffb", "title": "Edge-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": [], "doi": []}, {"id": "6768b558cc58e113096540c123ef3b2c2d2469a1", "title": "Maximum Margin Linear Classifiers in Unions of Subspaces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1a06/e518bf15015153b4973bb2e9e06e51485a4c.pdf"], "doi": []}, {"id": "ba6c19771926564e89be4ace7c33dc3da580249e", "title": "Utilisation du contexte pour l'indexation s\u00e9mantique des images et vid\u00e9os. (Using context for semantic indexing of images and videos)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ba6c/19771926564e89be4ace7c33dc3da580249e.pdf"], "doi": []}, {"id": "447b28c347172c6da0fb4d764a534fdee557b7f8", "title": "Studying Relationships between Human Gaze, Description, and Computer Vision", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618945"]}, {"id": "782b21e803d149955c627c063ae60efeae04a9b1", "title": "Analysis of Multilayer Neural Networks for Object Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "title": "Transfer learning via attributes for improved on-the-fly classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836097", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836097", "http://doi.org/10.1109/WACV.2014.6836097"]}, {"id": "ba156b81fe8fca1fd1bfb1c822e39205c4ff355b", "title": "Unsupervised Multi-class Joint Image Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909798"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "title": "Bag of contour fragments for robust shape classification", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/XinggangPR2014.pdf", "http://mc.eistar.net/~xwang/pubs/BagOfShape.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/BagOfShape.pdf", "https://cis.temple.edu/~latecki/Papers/XinggangPR2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.12.008"]}, {"id": "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "title": "DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799"]}, {"id": "7fe203374ba3ddc8462a7c775b276e53f09dd036", "title": "NavigationNet: A Large-scale Interactive Indoor Navigation Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08374.pdf"], "doi": []}, {"id": "8f8599012002dd3bbb6526b3be92d7a7355ad22a", "title": "Construction et \u00e9valuation d'un corpus pour la recherche d'instances d'images mus\u00e9ales", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f85/99012002dd3bbb6526b3be92d7a7355ad22a.pdf"], "doi": []}, {"id": "ebf35073e122782f685a0d6c231622412f28a53b", "title": "A High-Quality Denoising Dataset for Smartphone Cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578280"]}, {"id": "9463f71b2d8e291d5fc5a7db6b95b3d01e759b29", "title": "Describing Spatial Relationships between Objects in Images in English and French", "year": "2015", "pdf": ["http://www.emnlp2015.org/proceedings/VL/pdf/VL16.pdf"], "doi": ["https://doi.org/10.18653/v1%2FW15-2816", "http://aclweb.org/anthology/W15-2816", "https://doi.org/10.18653/v1/W15-2816"]}, {"id": "aaa6fe8045e1a071e1762cffe4f59e0bd508daf9", "title": "Single-Pedestrian Detection Aided by Two-Pedestrian Detection", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~wlouyang/Papers/tpami15-ouyang_xgWang_xyZeng.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangZWtpami15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6994306", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2377734", "http://doi.org/10.1109/TPAMI.2014.2377734", "https://www.ncbi.nlm.nih.gov/pubmed/26353133"]}, {"id": "2a7007555f71e559c6aa33efbd3bd8b401638d82", "title": "Full interpretation of minimal images", "year": "2018", "pdf": ["https://perso.telecom-paristech.fr/bloch/AIC/articles/BenYosef2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S001002771730269X?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cognition.2017.10.006", "https://www.ncbi.nlm.nih.gov/pubmed/29107889"]}, {"id": "08c71fe89af5f168b373e92b44a7cf9d1755fb8c", "title": "The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition", "year": "2013", "pdf": ["http://infoscience.epfl.ch/record/182860/files/2013_ChavarriagaPRLETTERS_preprint.pdf?version=1", "https://www.researchgate.net/profile/Ricardo_Chavarriaga/publication/258031577_The_Opportunity_challenge_A_benchmark_database_for_on-body_sensor-based_activity_recognition/links/02e7e528146aa12213000000.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.12.014"]}, {"id": "8d73906f0a232e8b94200017e512446c1af4dd9d", "title": "Detection of U.S. Traffic Signs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7116530"]}, {"id": "497857bce6ea1ed4889fb949a2f176072e2509c7", "title": "A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5137808"]}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578822"]}, {"id": "3de71ddc07619c0dd6bbaa3f7b412a9262a0e761", "title": "Discriminatively Trained And-Or Tree Models for Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d278.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Song_Discriminatively_Trained_And-Or_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/DiscriminativeAOG_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619265", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.421", "http://doi.org/10.1109/CVPR.2013.421"]}, {"id": "18b4a20ed465972d9d8f3f8d8982d321acf45907", "title": "Mod\u00e9lisation de contextes pour l'annotation s\u00e9mantique de vid\u00e9os. (Context based modeling for video semantic annotation)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18b4/a20ed465972d9d8f3f8d8982d321acf45907.pdf"], "doi": []}, {"id": "992a614aa601c52b20729538ea25b62471ffe8bc", "title": "Towards Automatic Construction of Diverse, High-quality Image Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06495.pdf"], "doi": []}, {"id": "53822d61e829ef02a95a6c89fea082114fd3e16b", "title": "A General Framework for Tracking Multiple People from a Moving Camera", "year": "2013", "pdf": ["http://www.willowgarage.com/sites/default/files/pami_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6361406", "http://doi.org/10.1109/TPAMI.2012.248", "https://www.ncbi.nlm.nih.gov/pubmed/23681988", "https://www.wikidata.org/entity/Q48723090"]}, {"id": "323eb410e0d0978901a8baa670f905f280ab19ff", "title": "Inner-Scene Similarities as a Contextual Cue for Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04406.pdf"], "doi": []}, {"id": "7532996c27b199ed89b412a9f0df7483df83ea72", "title": "Committees of deep feedforward networks trained with few data", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5947.pdf"], "doi": []}, {"id": "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "title": "An ontology-based framework for the automated analysis and interpretation of comic books' images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ins.2016.10.032", "https://hal.archives-ouvertes.fr/hal-01387033/document"]}, {"id": "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "title": "Multi-label Classification for Image Annotation via Sparse Similarity Voting", "year": "2010", "pdf": ["http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/27087/1/LNCS6469_344.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-22819-3_35"], "doi": ["https://doi.org/10.1007/978-3-642-22819-3_35"]}, {"id": "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "title": "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images", "year": "2017", "pdf": ["http://www.mdpi.com/2072-4292/9/5/500/pdf"], "doi": ["https://doi.org/10.3390/rs9050500", "https://www.preprints.org/manuscript/201704.0061/v1/download"]}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "title": "Deep Material-Aware Cross-Spectral Stereo Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578303"]}, {"id": "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "title": "Detecting objects in internet videos AIMS Project Report", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e4fc/560a78e48bd927c2f6253f5fc489927bb15f.pdf"], "doi": []}, {"id": "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "title": "Region detection and matching for object recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "e42b89b6ed1c6d79286a62ded1e4c090f474eb40", "title": "Using image analytics to monitor retail store shelves", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1147/JRD.2015.2394513"]}, {"id": "64fb6a04a3ec96b2ad266c381c75f4dc16ce3460", "title": "Hole-based traffic sign detection method for traffic signs with red rim", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0879-0"]}, {"id": "24c20c28871fa923c3f45b745b9b9f2d3d280e81", "title": "Harmony potentials for joint classification and segmentation", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540048"]}, {"id": "06f1c079303937f6022e6157e6341c7921fe9428", "title": "Efficient Dense Rigid-Body Motion Segmentation and Estimation in RGB-D Video", "year": "2014", "pdf": ["http://ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf", "http://www.ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0796-3"]}, {"id": "333b877ea761c5c1d4ffa39654fc19bd015e245d", "title": "Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7450190"]}, {"id": "0ecaabbf846bbc78c91bf7ff71b998b61c0082d8", "title": "Automated Visual Fin Identification of Individual Great White Sharks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06323.pdf"], "doi": []}, {"id": "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "title": "Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes", "year": "2014", "pdf": ["http://eprints.whiterose.ac.uk/84865/1/ICPR14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976833", "http://doi.org/10.1109/ICPR.2014.123"]}, {"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": "4446924885545b255164b32e42b8375bac699f23", "title": "Object semantic categorization based on ensemble SVM classifiers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7867229"]}, {"id": "fc2c39b6439623c00b10e8d9826b1c82e8487805", "title": "Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Mandal_Generalized_Semantic_Preserving_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099765", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.282", "http://doi.org/10.1109/CVPR.2017.282"]}, {"id": "92cd808bba43c3702d8cbddde65ee42bf01676d4", "title": "A MultiPath Network for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02135.pdf"], "doi": []}, {"id": "3bccc5621b14f2e6b07a5936acecdf957724c6ff", "title": "Convolutional Fisher Kernels for RGB-D Object Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7335478", "http://doi.ieeecomputersociety.org/10.1109/3DV.2015.23", "http://doi.org/10.1109/3DV.2015.23"]}, {"id": "0b67879b1d5db9da12490b41b4f52d12626e87bc", "title": "The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics", "year": "2012", "pdf": ["http://ijr.sagepub.com/content/31/8/927.full.pdf"], "doi": ["https://doi.org/10.1177/0278364912445831"]}, {"id": "98b4bf8cf8890f50b12e4fabe78bafd687a598c2", "title": "Semantic Labeling Based Vehicle Detection in Aerial Imagery", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354178"]}, {"id": "e03a2299caf2febcc7b87ee4e61e78ad8cb24e45", "title": "Combined Holistic and Local Patches for Recovering 6D Object Pose", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265469"]}, {"id": "26eadb307d62ab28713931beb8be9ff0f04c6ea0", "title": "Synthetic Viewpoint Prediction", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801548", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.58", "http://doi.org/10.1109/CRV.2016.58"]}, {"id": "55d01b7314d78fe3bc5ae03b6e414ecba14188f8", "title": "Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2709034"]}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "64bff565c83c6ce3fac783d8d67191af99803701", "title": "Learning to Co-Generate Object Proposals with a Deep Structured Network", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/217984/files/HayderHeSalzmannCVPR16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.281", "http://doi.org/10.1109/CVPR.2016.281"]}, {"id": "66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450", "title": "A Linear Approximation to the chi^2 Kernel with Geometric Convergence", "year": "2012", "pdf": ["https://arxiv.org/pdf/1206.4074.pdf"], "doi": []}, {"id": "dbf2d57def648d1dae7717c92a32ff02157e5cb5", "title": "RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01054.pdf"], "doi": []}, {"id": "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "title": "Boosting Object Proposals: From Pascal to COCO", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01226.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410538", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.181", "http://doi.org/10.1109/ICCV.2015.181"]}, {"id": "174b6d661b96840e27cd9435c2dbb8e538b2c8a6", "title": "Progressive Representation Adaptation for Weakly Supervised Object Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.04647.pdf"], "doi": []}, {"id": "b95cdaaa0d6c191bcc8169ce555219ad545258fb", "title": "Online streaming feature selection: a minimum redundancy, maximum significance approach", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-018-0690-7"]}, {"id": "0f780a8cb09627bec41000345c2771df2853224a", "title": "Automatic inspection of aeronautic components", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-017-0839-1"]}, {"id": "c1206330ba57a27fd0acc29dd39825bbf2d91060", "title": "A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~yuille/Pubs10_12/PartImportance_IJCV2014_online.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0705-9"]}, {"id": "4c500c84e16e5ebb50b33f9bcff36854e5131c16", "title": "All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1711.04450.pdf"], "doi": []}, {"id": "02f86370fd467f0d03948a94a346034d8a111ffd", "title": "Semantic Video Retrieval Using High Level Context", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/02f8/6370fd467f0d03948a94a346034d8a111ffd.pdf"], "doi": []}, {"id": "d111faa1990f80e3351ea1eef0e5fc177d4e44b4", "title": "Iteratively Training Look-Up Tables for Network Quantization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05355.pdf"], "doi": []}, {"id": "165c27a4bfb56562c807279bef9d15f1bced5ca0", "title": "Scene parsing using inference Embedded Deep Networks", "year": "2016", "pdf": ["http://www.adv-ci.com/publications/2016_PR_Bu.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.01.027"]}, {"id": "f348d23a88fd81e05585897629f2f230fcfe77c7", "title": "Transfer Learning of Deep Neural Networks for Visual Collaborative Maritime Asset Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8537839"]}, {"id": "87fe38a79ee12531bb618d4006a476b3a5256f3e", "title": "Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02426.pdf"], "doi": []}, {"id": "d8b8e165279ca2091d5af1440ed974db4792250f", "title": "Mean Response-Time Minimization of a Soft-Cascade Detector", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ad73/ff39869e223dba6e0ee94481b6c32766df86.pdf"], "doi": []}, {"id": "0f6a2ea69c325bcbfca85fb05cb5f542873b1bf8", "title": "Food Recognition and Detection with Minimum Supervision", "year": "2016", "pdf": [], "doi": []}, {"id": "df8aee8aef6f0c71f968979318dafcd53da04bdc", "title": "Bending the Curve: Improving the ROC Curve Through Error Redistribution", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06652.pdf"], "doi": []}, {"id": "70918453e9f147747b7a37d9159c8c1515a55ae4", "title": "Visual object tracking via the local soft cosine similarity", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2018.03.026"]}, {"id": "1876095a9387a84e594d81675c9c2c17cb10f7cf", "title": "Accurate segmentation of complex document image using digital shearlet transform with neutrosophic set as uncertainty handling tool", "year": "2017", "pdf": ["http://fs.gallup.unm.edu/neut/AccurateSegmentationOfComplex.pdf"], "doi": ["http://doi.org/10.1016/j.asoc.2017.08.005"]}, {"id": "ad52d047a44f20416f9dd6655cef54169d481454", "title": "Perceptual modeling in the problem of active object recognition in visual scenes", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.007"]}, {"id": "e096b11b3988441c0995c13742ad188a80f2b461", "title": "DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04702.pdf"], "doi": []}, {"id": "56e95fa26fb417776824e5adf6d6d511e5b30110", "title": "Object and Action Classification with Latent Window Parameters", "year": "2013", "pdf": ["http://homepages.inf.ed.ac.uk/hbilen/assets/pdf/Bilen14.pdf", "http://www.cse.iitk.ac.in/users/cs365/2014/_papers/bilen-namboodri-vanGool-13_object-action-classify-latent-windows.pdf", "http://www.cse.iitk.ac.in/users/vinaypn/papers/bilen2013ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0646-8"]}, {"id": "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "title": "Assessment of crowdsourcing and gamification loss in user-assisted object segmentation", "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/81293/asknseek.pdf;jsessionid=469B72384B7C56D4A331D68A53942294?sequence=1"], "doi": ["https://doi.org/10.1007/s11042-015-2897-6"]}, {"id": "85eedee59aca5f2a591265a2173cf3a2799cdc94", "title": "Action and Event Recognition with Fisher Vectors on a Compact Feature Set", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751336"]}, {"id": "3463aeda3a8d33bc88d8383cc4ad451a6775c75a", "title": "Understanding Indoor Scenes Using 3D Geometric Phrases", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/choi_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a033.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Choi_Understanding_Indoor_Scenes_2013_CVPR_paper.pdf", "https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41340.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618856", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.12", "http://doi.org/10.1109/CVPR.2013.12"]}, {"id": "70b420850e16ec2afe42d5c0006742d9045b3e7f", "title": "If You Can't Beat Them, Join Them: Learning with Noisy Data", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806231"]}, {"id": "985b6a10c1bb9c8908d6d299c7ab0bba76df2259", "title": "Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Bilinski_Dense_Decoder_Shortcut_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578788", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00690", "http://doi.org/10.1109/CVPR.2018.00690"]}, {"id": "82451d0ae2e0154b5f9cd096af199c35319e911a", "title": "Image spam filtering using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1168-8"]}, {"id": "8ff6294535acf46abf523b879f20685de0692a8c", "title": "Bayes Risk for Large Scale Hierarchical Top-K Image Classification", "year": "2013", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/153936/eth-6877-01.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.3929/ethz-a-009767867"]}, {"id": "d97224063697392f073e467005e89973d2be7d65", "title": "Recherche de motifs fr\u00e9quents dans une base de cartes combinatoires. (Frequent pattern discovery in combinatorial maps databases)", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/02d1/8e600804a1a6ff354856d8dcb80ceb4c8a43.pdf"], "doi": []}, {"id": "74a1336f1fbc8b7bb3b6e159711af1a91336ce22", "title": "An overview of traffic sign detection methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/74a1/336f1fbc8b7bb3b6e159711af1a91336ce22.pdf"], "doi": []}, {"id": "e33bc0cd79d92d6868989a29c3ab06b75f808590", "title": "Deep Nets: What have they ever done for Vision?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04025.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "14d1a458f49e251cbbab34349e379469300a2bae", "title": "Scene Parsing with Object Instances and Occlusion Ordering", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tighe_Scene_Parsing_with_2014_CVPR_paper.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909874", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.479", "http://doi.org/10.1109/CVPR.2014.479"]}, {"id": "a6cd743c29667ab5baef9d66d6558247b1cd00b0", "title": "New in-situ training image and one-shot detection model without adaptation GENETIM detection model for synset bottle", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a6cd/743c29667ab5baef9d66d6558247b1cd00b0.pdf"], "doi": []}, {"id": "9b8746e9480c3bdcaa6efca33096369422c624aa", "title": "Algae Detection Using Computer Vision and Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10847.pdf"], "doi": []}, {"id": "3325860c0c82a93b2eac654f5324dd6a776f609e", "title": "2D Human Pose Estimation: New Benchmark and State of the Art Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909866"]}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "bf26ccc92bca086195c5f250aef2e409a1c7cd85", "title": "Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215524", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2017.61", "http://doi.org/10.1109/ICDM.2017.61"]}, {"id": "ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1", "title": "An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff3a/9545e73adea5275a1c7c71c5e3fe2e35a9a1.pdf"], "doi": []}, {"id": "21d1225296aad388406824eb113715c4b90ed3da", "title": "Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7372146", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2015.50", "http://doi.org/10.1109/ICTAI.2015.50"]}, {"id": "3f0b0ffe315ee111fc028561ec4ecf2c93f94a05", "title": "Pose Normalization Network for Object Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f0b/0ffe315ee111fc028561ec4ecf2c93f94a05.pdf"], "doi": []}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "6a405e7284ff7e2127a241d60646b4abd3da92f2", "title": "Generate To Adapt : Unsupervised Domain Adaptation using Generative Adversarial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "c0e551acb063c9cd73dea28ab8963f850b6f1148", "title": "A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0e5/51acb063c9cd73dea28ab8963f850b6f1148.pdf"], "doi": []}, {"id": "8b45a87f3dfc8eccd745161effbf2457a9097e6a", "title": "WEAKLY SUPERVISED SEMANTIC SEGMENTATION 3 priors can give good pixel labelling results", "year": "2017", "pdf": [], "doi": []}, {"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": "12d9a4233a16ea08fbb1de853b6a97b4f4952c23", "title": "Tractable Structured Prediction using the Permutohedral Lattice", "year": "2017", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-01.pdf?isAllowed=y&sequence=1", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-02.pdf?isAllowed=y&sequence=2"], "doi": ["https://doi.org/10.3929/ethz-a-010882665"]}, {"id": "33d101fe276fd5e6220c9b40c33e1a1d1389e5bb", "title": "DOC: DEEP OCCLUSION ESTIMATION FROM A SIN-", "year": "2016", "pdf": [], "doi": []}, {"id": "c6c691b772822881c5c52b779100928f0d54fdd7", "title": "Using Visual Saliency to Improve Human Detection with Convolutional Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "11a3084768f035c824662a85a348f02466693d2a", "title": "Lifting Object Detection Datasets into 3D", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.06465.pdf"], "doi": []}, {"id": "4be10db13a9210e078d78a4a072c569d9bbd9939", "title": "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06098.pdf"], "doi": []}, {"id": "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "title": "Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/18a8/49b1f336e3c3b7c0ee311c9ccde582d7214f.pdf"], "doi": []}, {"id": "13e424d502bf539108ad6f5cc877cfb1255dbee0", "title": "Improving Vision-Based Self-Positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045914"]}, {"id": "1dbd7653ede6af15d539f64cb2128752ca029e44", "title": "Hollywood 3D: Recognizing Actions in 3D Natural Scenes", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619280"]}, {"id": "f4c45108cb41051010d8a5175b8da23eb246c967", "title": "Improving Image Captioning by Leveraging Knowledge Graphs", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658870"]}, {"id": "1b3ee5455956a40c6e9e09ccda0f4fb162838629", "title": "The Recognition of License Plate Restrictions Based on Faster R-CNN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b3e/e5455956a40c6e9e09ccda0f4fb162838629.pdf"], "doi": []}, {"id": "5c45a1abc51fe059987bcfba19b1d5076a8d9afb", "title": "Autonomous Object Category Learning for Service Robots Using Internet Resources", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c45/a1abc51fe059987bcfba19b1d5076a8d9afb.pdf"], "doi": []}, {"id": "4a31b3fcc346bf3235efe1c0fb310833570cef27", "title": "Learning Intelligent Dialogs for Bounding Box Annotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579054"]}, {"id": "ed62a56b81511d7fcf6d247014987163d9668982", "title": "\"What happens if...\" Learning to Predict the Effect of Forces in Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05600.pdf"], "doi": []}, {"id": "29aa3dc15450e6eb46c34f30f0e224e5ea16615e", "title": "Sketch Me That Shoe", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/hsiao_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "https://www.eecs.qmul.ac.uk/~qian/SketchMeThatShoe.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780462", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.93", "http://doi.org/10.1109/CVPR.2016.93"]}, {"id": "1999d5e0700bf8fa50bb1bab5b981bda1d111a4f", "title": "Monocular Road Terrain Detection by Combining Visual and Spatial Information", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/73b1/10df4809d0a015f90fa6e7a7dce351bcc52e.pdf", "https://www.researchgate.net/profile/Jannik_Fritsch/publication/261073577_Monocular_Road_Terrain_Detection_by_Combining_Visual_and_Spatial_Information/links/5475ef240cf29afed612e5a8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6766705", "http://doi.org/10.1109/TITS.2014.2303899"]}, {"id": "34072c31c2c778df471c9f0c43ba6198dfd0db32", "title": "Arbitrary Category Classification of Websites Based on Image Content", "year": "2015", "pdf": ["http://users.ics.aalto.fi/juha/papers/ELM2014.pdf", "http://www.engineering.uiowa.edu/sites/default/files/files/newpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7083681", "http://doi.org/10.1109/MCI.2015.2405317"]}, {"id": "d23ac99cdab20a9a3eca2784a5b262649c717988", "title": "Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02753.pdf"], "doi": []}, {"id": "22cf367d14e646914cc959bbcd402df0c20cd0dc", "title": "Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04024.pdf"], "doi": []}, {"id": "c9d73438bf5e66bd0c4f512c5a4e53c3e33e721e", "title": "Adding spatial distribution clue to aggregated vector in image retrieval", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0247-0?site=jivp-eurasipjournals.springeropen.com"], "doi": ["http://doi.org/10.1186/s13640-018-0247-0"]}, {"id": "a74b045f28670e8f85173e0e483581520d667f02", "title": "Object tracking using Langevin Monte Carlo particle filter and locality sensitive histogram based likelihood model", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.cag.2017.07.023"]}, {"id": "c56da136b8d62125009a131f6dc21fcd0dd6a559", "title": "ICDAR2017 Robust Reading Challenge on Text Extraction from Biomedical Literature Figures (DeTEXT)", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270166", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.235", "http://doi.org/10.1109/ICDAR.2017.235"]}, {"id": "02e5372e439c09f8a8ce8c4784b044ce116ca11c", "title": "DeepCorrect: Correcting DNN models against Image Distortions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02406.pdf"], "doi": []}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "5fdbebf417da2427744d2c60f413b5375e68993e", "title": "Discriminative Sub-categorization", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619062"]}, {"id": "32bebe84ffbd4fd81f0e5bb30dbc90774aa3b14b", "title": "Segmentation Results Stimuli Final Saliency Map Ground Truth Constructed Graph CCA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/32be/be84ffbd4fd81f0e5bb30dbc90774aa3b14b.pdf"], "doi": []}, {"id": "a02e5d8e2a10176dc5e2566e1b492823a0cb6ee2", "title": "A learning framework for higher-order consistency models in multi-class pixel labeling problems", "year": "2014", "pdf": [], "doi": []}, {"id": "383d64b27fb3cdf2beff43f3beb8caac8c21a886", "title": "Detecting activities of daily living in first-person camera views", "year": "2012", "pdf": ["http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_poster.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_slides.pdf", "http://vision.ics.uci.edu/papers/PirsiavashR_CVPR_2012_1/PirsiavashR_CVPR_2012_1.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w06-cagdas.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/dinesh-expt.pdf", "http://www.ics.uci.edu/~dramanan/papers/ADL_2012.pdf", "https://www.cs.cmu.edu/~deva/papers/ADL_2012.pdf", "https://www.csee.umbc.edu/~hpirsiav/papers/adl_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248010", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248010", "http://doi.org/10.1109/CVPR.2012.6248010"]}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "64c1158a4061882d610f1cffd5ddb1e8fc9a74b4", "title": "Gated Feedback Refinement Network for Dense Image Labeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Islam_Gated_Feedback_Refinement_CVPR_2017_paper.pdf", "http://www.cs.umanitoba.ca/~ywang/papers/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100001", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.518", "http://doi.org/10.1109/CVPR.2017.518"]}, {"id": "284be8be0c6bedc36dfe43229bc84345ab0aedc2", "title": "Faster Training of Mask R-CNN by Focusing on Instance Boundaries", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07069.pdf"], "doi": []}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.pdf"], "doi": []}, {"id": "2a2232f2972191a0606d588aa4f13c9f27d1972d", "title": "InstanceCut: From Edges to Instances with MultiCut", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08272.pdf"], "doi": []}, {"id": "029cabb6f3f6a824590e735feb1d8557646db8a6", "title": "One-Bit Object Detection: On learning to localize objects with minimal supervision", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.1024.pdf"], "doi": []}, {"id": "fd23dda0abe2d6a3ae0c8253c89110364cdecbc9", "title": "Deep Learning for People Detection on Beach Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575616", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2018.00045", "http://doi.org/10.1109/BRACIS.2018.00045"]}, {"id": "c3c4f0caf1b42b6466306360c4ebe16f66489df0", "title": "Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11266.pdf"], "doi": []}, {"id": "03fd6774f57aaed9320060e4527121c59e9eca2b", "title": "Intrinsic spatial pyramid matching for deformable 3D shape retrieval", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-013-0041-9"]}, {"id": "304aa9bfd6bc32d3d87abce6a229d973270bbd73", "title": "Fast Neural Cell Detection Using Light-Weight SSD Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w8/papers/Yi_Fast_Neural_Cell_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014853", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.119", "http://doi.org/10.1109/CVPRW.2017.119"]}, {"id": "c8ba499e8d8daa32637885f03137f41d61023bf9", "title": "Weak supervision for detecting object classes from activities", "year": "2017", "pdf": ["https://ps.is.tue.mpg.de/uploads_file/attachment/attachment/296/weak_supervision_object_detection.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.006"]}, {"id": "cd1a636c1261208084cb8395c877c7ca22c76df1", "title": "Fast Deep Vehicle Detection in Aerial Images", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926624.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926624", "http://doi.org/10.1109/WACV.2017.41"]}, {"id": "101c7305f141145c4d168dfa40284e0ad86a0d9b", "title": "Active Object Localization with Deep Reinforcement Learning", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410643"]}, {"id": "48922520e6de0954a83f26977b2b50b7fbfdcf61", "title": "A survey of sketch-based image retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-0953-8"]}, {"id": "c37fe13f94dfc2f3494a35a63336689ce4392135", "title": "MPNET: An End-to-End Deep Neural Network for Object Detection in Surveillance Video", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8365094", "http://doi.org/10.1109/ACCESS.2018.2836921"]}, {"id": "0f8f9253c81fd90fe44d474cc185d4ae2487e5b4", "title": "NYC3DCars: A Dataset of 3D Vehicles in Geographic Context", "year": "2013", "pdf": ["http://nyc3d.cs.cornell.edu/static/paper.pdf", "http://www.cs.cornell.edu/~snavely/publications/papers/nyc3dcars_iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Matzen_NYC3DCars_A_Dataset_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751204", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.99", "http://doi.org/10.1109/ICCV.2013.99"]}, {"id": "e8ffef3d4d74720e766e506e175e533bdc8ee705", "title": "Object Detection Networks on Convolutional Feature Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1504.06066.pdf"], "doi": []}, {"id": "1daf971c087f5e21dbae831231377cbe9bb2f188", "title": "Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619272"]}, {"id": "8d74fbd46f9d5d615e350c4593cbc5b5ca63fa8b", "title": "Data driven visual tracking via representation learning and online multi-class LPBoost learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0388"]}, {"id": "7af667b6c1b4b32f513dd70fe3ef36fcf344a741", "title": "A transfer learning based approach for automated grading of Gliomas using deep Residual Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7af6/67b6c1b4b32f513dd70fe3ef36fcf344a741.pdf"], "doi": []}, {"id": "d9dafc343727db2b6060c868d748f97eff6bac7d", "title": "Improved pedestrian detection using motion segmentation and silhouette orientation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4933-1"]}, {"id": "3b304585d5af0afe98a85d6e0559315fbf3a7807", "title": "An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection", "year": "2013", "pdf": ["http://welcome.isr.ist.utl.pt/img/pdfs/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf", "http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2015/05/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38628-2_34"]}, {"id": "99df9e95b3f3d187636918a65277baf7c98cbfc5", "title": "An efficient subsequence search for video anomaly detection and localization", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-015-2453-4", "https://www.wikidata.org/entity/Q56907428"]}, {"id": "832246357de85108cb910e773c203997448c570a", "title": "Recurrently Target-Attending Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780530"]}, {"id": "74031f12dde0be772a742b96bf5f4c8d9fa41ec7", "title": "Joint Object-Material Category Segmentation from Audio-Visual Cues", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.02220.pdf"], "doi": []}, {"id": "9452d029f5d140aece06619b6fd8e47b070cacd1", "title": "Urban classification by pixel and object-based approaches for very high resolution imagery", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9452/d029f5d140aece06619b6fd8e47b070cacd1.pdf"], "doi": []}, {"id": "7268747251a61d1ce3285baade15c372d4c566d6", "title": "Person Attribute Recognition with a Jointly-Trained Holistic CNN Model", "year": "2015", "pdf": ["http://web-info8.informatik.rwth-aachen.de/media/papers/sudowe_spitzer_leibe_ICCV_LaP_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Sudowe_Person_Attribute_Recognition_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406400", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.51", "http://doi.org/10.1109/ICCVW.2015.51"]}, {"id": "81763bb718dc6630be210c056a250b1c2ed57fd7", "title": "3D Semantic Parsing of Large-Scale Indoor Spaces", "year": "2016", "pdf": ["http://buildingparser.stanford.edu/images/CVPR_2016_poster.pdf", "http://buildingparser.stanford.edu/images/supp_mat.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780539", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.170", "http://doi.org/10.1109/CVPR.2016.170"]}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "a228ba020bd321d29ab24485cb2988a62707fd64", "title": "Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study", "year": "2013", "pdf": ["https://engineering.purdue.edu/RVL/Publications/Srivastava2013.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2013.06.009"]}, {"id": "037f2e9d2d2aa15c3d476f4aa358da96707b4b44", "title": "Square Localization for Efficient and Accurate Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410651"]}, {"id": "bf3aae7293f664d512c0904916d804327af22f52", "title": "STDnet: A ConvNet for Small Target Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf3a/ae7293f664d512c0904916d804327af22f52.pdf"], "doi": []}, {"id": "d6b514a68abff3ab14af9fc0152cd5b28bd0192c", "title": "Instance Segmentation by Deep Coloring", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10007.pdf"], "doi": []}, {"id": "0de46e6768acaa71745406d646573644b975dc62", "title": "Scene-Domain Active Part Models for Object Representation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410644"]}, {"id": "e24792ec2a6cb8971b2f6befb4b97b9fe2d79952", "title": "Bottom-up Object Detection by Grouping Extreme and Center Points", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08043.pdf"], "doi": []}, {"id": "1d7029a974f950de61f3980704956b43f1a06e7b", "title": "Efficient Optimization for Rank-Based Loss Functions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578487"]}, {"id": "22a8b7ca2e6449cad31ae4f71bb3587751087e77", "title": "DeepBox: Learning Objectness with Convolutional Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410642"]}, {"id": "9c4365a56fb3cf41b15712657b15f7422ca0dab2", "title": "A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/9c43/65a56fb3cf41b15712657b15f7422ca0dab2.pdf"], "doi": []}, {"id": "37b9ea1bf5b6ce8ecb656628af3933c64c632c2b", "title": "Transfer Learning for 3 D LiDAR-based Human Classification with a Mobile Robot", "year": "2018", "pdf": [], "doi": []}, {"id": "f79c4bf83371627ba139b61eb427463b93cd687b", "title": "Learning from Few Examples for Visual Recognition Problems", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f79c/4bf83371627ba139b61eb427463b93cd687b.pdf"], "doi": []}, {"id": "084bd219dd239dc4c9a02621a5333d3bc1446566", "title": "DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.00072.pdf"], "doi": []}, {"id": "1c9da6cef6b1be9c116b26dd52c341c0adcf7db2", "title": "Interactive Perception: Leveraging Action in Perception and Perception in Action", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03670.pdf"], "doi": []}, {"id": "549c719c4429812dff4d02753d2db11dd490b2ae", "title": "YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00824.pdf"], "doi": []}, {"id": "e430d1ae3a28ec342f767cdfb19aeb76c20a3f21", "title": "Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8592805"]}, {"id": "3b4ad6b789837a6a878f33c0b7ddb1b1fc7daaf8", "title": "Fine-grained recognition of plants from images", "year": "2017", "pdf": ["https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-017-0265-4?site=plantmethods.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s13007-017-0265-4", "https://www.ncbi.nlm.nih.gov/pubmed/29299049"]}, {"id": "f92ceb6875f614bbccb25e4b11ca55353773890f", "title": "Saliency Detection via Boundary Prior and Center Prior", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f92c/eb6875f614bbccb25e4b11ca55353773890f.pdf"], "doi": []}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "2114b25727a21275e88e30dad0423752f6047dae", "title": "Generic Visual Recognition on Non-Uniform Distributions Based on AdaBoost Codebooks", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/cac0/c534e02784a3a873690d213dd8c92b81992f.pdf"], "doi": []}, {"id": "7cb4d30b3bfb0d4b02499c15c7c7a9dfddda8049", "title": "Object Tracking using L 1 / L 2 Sparse Coding and Multi Scale Max Pooling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7cb4/d30b3bfb0d4b02499c15c7c7a9dfddda8049.pdf"], "doi": []}, {"id": "b7efecec654acd8831d045e728b54356c697c9c8", "title": "Learning Semantic Segmentation with Diverse Supervision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354268"]}, {"id": "eacb95e81156c48f4ff7470567ba205225170fa7", "title": "Learning Aerial Image Segmentation From Online Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06879.pdf"], "doi": []}, {"id": "14b311b848b51b7b5345573a289b1cedcbb4d581", "title": "Instance Similarity Deep Hashing for Multi-Label Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02987.pdf"], "doi": []}, {"id": "24ff832171cb774087a614152c21f54589bf7523", "title": "Beat-Event Detection in Action Movie Franchises", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03755.pdf"], "doi": []}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03249.pdf"], "doi": []}, {"id": "99c37dba394b100ba8f3d895c0ee0e57d5852347", "title": "Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects", "year": "2014", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2014/papers/Zia_Are_Cars_Just_2014_CVPR_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D2/2014/zia14cvpr.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/cvpr2014zz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909865", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.470", "http://doi.org/10.1109/CVPR.2014.470"]}, {"id": "f6b649023e49a341f042f9a17b2f923db58ccf35", "title": "Feature representation of RGB-D images using joint spatial-depth feature pooling", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2016.04.001"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": [], "doi": ["https://www.base-search.net/Record/6ecfef13a126fd20b941bbb80477b94bd643db70d224a43b1d0b0cb61aa181b1"]}, {"id": "b85c198ce09ffc4037582a544c7ffb6ebaeff198", "title": "Efficient Multiple Instance Metric Learning Using Weakly Supervised Data", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Law_Efficient_Multiple_Instance_CVPR_2017_paper.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2017/mimlca_cvpr_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100113", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.630", "http://doi.org/10.1109/CVPR.2017.630"]}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"], "doi": []}, {"id": "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "title": "Scene Parsing through ADE20K Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Scene_Parsing_Through_CVPR_2017_paper.pdf", "http://people.csail.mit.edu/bzhou/publication/scene-parse-camera-ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100027", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.544", "http://doi.org/10.1109/CVPR.2017.544"]}, {"id": "a422c2bd9030c8a2c89b6db79be2743c4a4609fb", "title": "Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02886.pdf"], "doi": []}, {"id": "46a1172c784c3741e79781ef2353209b08dbea67", "title": "YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition", "year": "2013", "pdf": ["http://www.cs.utexas.edu/users/ml/papers/guadarrama.iccv13.pdf", "http://www.cs.utexas.edu/users/ml/posters/guadarrama.iccv13.pdf", "http://www.eecs.berkeley.edu/~sguada/pdfs/2013-ICCV-YouTube2Text-final.pdf", "https://www.cs.utexas.edu/~vsub/pdf/YouTube2Text_Recognizing_and_2013_ICCV_paper.pdf", "https://www.icsi.berkeley.edu/pubs/vision/youtube2text13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751448", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.337", "http://doi.org/10.1109/ICCV.2013.337"]}, {"id": "670b10569c5f978ee70d99cf8c14ad9cabb9d454", "title": "Masked face detection via a modified LeNet", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.056"]}, {"id": "4acf31294e940d85a4eea56c244205e3a66d8b8e", "title": "Improving Product Classification Using Images", "year": "2011", "pdf": ["http://talukdar.net/papers/ImageText-ICDM2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6137235", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2011.79", "http://doi.org/10.1109/ICDM.2011.79"]}, {"id": "057f5ffda59a3412f1e62159e96f84faa352628e", "title": "Tracking with scattering descriptor", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2013.0124"]}, {"id": "4404a99e2f6db3e703609168a3595e0fbdeabc38", "title": "Online Video SEEDS for Temporal Window Objectness", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Van_Den_Bergh_Online_Video_SEEDS_2013_ICCV_paper.pdf", "http://www.mvdblive.org/research/videoseeds.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01056.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751156", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.54", "http://doi.org/10.1109/ICCV.2013.54"]}, {"id": "59ee0f67bcf2d8ea0bbbfcbc71159725fc3a7059", "title": "Object Detection with Appearance-based Mixture Models Anonymous CVPR submission", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/59ee/0f67bcf2d8ea0bbbfcbc71159725fc3a7059.pdf"], "doi": []}, {"id": "e478c322de923337627487d8a688f5922b45b2ff", "title": "Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e478/c322de923337627487d8a688f5922b45b2ff.pdf"], "doi": []}, {"id": "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "title": "Text Detection in Traffic Informatory Signs Using Synthetic Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270075", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.144", "http://doi.org/10.1109/ICDAR.2017.144"]}, {"id": "7c594c0b9482624745dd95767f3eebde1ee7f043", "title": "Representing Visual Scenes for Robot Control", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c59/4c0b9482624745dd95767f3eebde1ee7f043.pdf"], "doi": []}, {"id": "0ceda9dae8b9f322df65ca2ef02caca9758aec6f", "title": "Context-Aware CNNs for Person Head Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410688"]}, {"id": "5f0e9cc18374a670dfea4698424c9d48494f3093", "title": "Online Domain Adaptation for Multi-Object Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.00776.pdf"], "doi": []}, {"id": "d47d72afc590f5b96117a5227d45157135da21ad", "title": "Attribute-based knowledge transfer learning for human pose estimation", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2012.05.032"]}, {"id": "05db46c7745c360fa5938ee204c81efdcc84c1da", "title": "An Empirical Evaluation of Current Convolutional Architectures\u2019 Ability to Manage Nuisance Location and Scale Variability", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.06795.pdf"], "doi": []}, {"id": "0d4cdadd765c3003b0bd5f762b84bef93408f548", "title": "Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909618"]}, {"id": "5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb", "title": "Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797075", "http://doi.org/10.1109/DICTA.2016.7797075"]}, {"id": "050e5b4043009e54dff9319877fe947885db2d6e", "title": "Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780764", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.395", "http://doi.org/10.1109/CVPR.2016.395"]}, {"id": "926dd1c4db38356ac5bf87c1a4c6b93625f9a850", "title": "Pulling Actions out of Context: Explicit Separation for Effective Combination", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578834"]}, {"id": "b705ca751a947e3b761e2305b41891051525d9df", "title": "Exploring Context with Deep Structured Models for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.03183.pdf"], "doi": []}, {"id": "be48b5dcd10ab834cd68d5b2a24187180e2b408f", "title": "Constrained Low-Rank Learning Using Least Squares-Based Regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.04870.pdf"], "doi": []}, {"id": "b2f63863e73a8565895ca3d9d7d6a1e10a7695b1", "title": "Efficient Neural Network Compression via Transfer Learning for Industrial Optical Inspection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b2f6/3863e73a8565895ca3d9d7d6a1e10a7695b1.pdf"], "doi": []}, {"id": "044ae9738c2445d4fda30fcd6c289eddf8b3add9", "title": "Multiple Instance Learning: A Survey of Problem Characteristics and Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.03365.pdf"], "doi": []}, {"id": "2ba540ca70c7dee81e13768792aa7571952987f6", "title": "Drivable Road Detection Based on Dilated FPN with Feature Aggregation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372075", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00172", "http://doi.org/10.1109/ICTAI.2017.00172"]}, {"id": "6c9f45c76b4f96fe66d8e1d7b31f89b7cc6caa44", "title": "DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10295.pdf"], "doi": []}, {"id": "a0ae4ffe252f32514240cf6d82d52538de5fb78c", "title": "AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0ae/4ffe252f32514240cf6d82d52538de5fb78c.pdf"], "doi": []}, {"id": "115e8a4f76a57b893c985ea4f7530b90d071679c", "title": "FSSD: Feature Fusion Single Shot Multibox Detector", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00960.pdf"], "doi": []}, {"id": "92f2639dbd9f7c4284b7012809e4d2c407834774", "title": "Point-based Medialness 2 D Shape Description and Identification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/92f2/639dbd9f7c4284b7012809e4d2c407834774.pdf"], "doi": []}, {"id": "4ace7c8edd9467c7d5bfa00e942531e7b889e650", "title": "Depth-Based Hand Pose Estimation: Data, Methods, and Challenges", "year": "2015", "pdf": ["http://vision.ics.uci.edu/papers/SupancicRYSR_ICCV_2015/SupancicRYSR_ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Supancic_Depth-Based_Hand_Pose_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410574", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.217", "http://doi.org/10.1109/ICCV.2015.217"]}, {"id": "4c454fda214e00c9cba4bb759da78949a4130873", "title": "Specialization of a Generic Pedestrian Detector to a Specific Traffic Scene by the Sequential Monte-Carlo Filter and the Faster R-CNN", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4c45/4fda214e00c9cba4bb759da78949a4130873.pdf"], "doi": []}, {"id": "f541dac9d0d49cadb3cfd018e87b26e03e3f13aa", "title": "Trio Constrained Adaptive Noise Removal ( TCANR ) Mechanism for Salt and Pepper Noise in Image Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f541/dac9d0d49cadb3cfd018e87b26e03e3f13aa.pdf"], "doi": []}, {"id": "aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2", "title": "PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c029/edca476ddda4050c3c67748056c6189cd1e3.pdf"], "doi": []}, {"id": "d250e57f6b7e06bb1dac41c8b89700086a85999e", "title": "Self-Supervised Generalisation with Meta Auxiliary Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08933.pdf"], "doi": []}, {"id": "de35ea60396629b2d1ceb73df56a97ed21012680", "title": "Robust object tracking via multi-scale patch based sparse coding histogram", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-016-3289-2"]}, {"id": "a0e286f3c6a72c857ffd03bd8ab9a9f9b98c4432", "title": "AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04452.pdf"], "doi": []}, {"id": "19339e816d8006ad462868b01812b03eb463ead1", "title": "Collective activity localization by spatiality preservation search", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1080/01691864.2016.1172506", "https://www.wikidata.org/entity/Q58025855"]}, {"id": "899e7ff67aa2630edc8776758cc5d65823f099c1", "title": "G-CNN: Object Detection via Grid Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097417", "http://doi.org/10.1109/ACCESS.2017.2770178"]}, {"id": "139ab79a0aae5d4346f907b7b29288d09ef373fa", "title": "A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08412.pdf"], "doi": []}, {"id": "94780b00dc2807ec507ae91500b622ec7a8ddb12", "title": "Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06295.pdf"], "doi": []}, {"id": "fa496716a5b8520e94a0126b5baa4f636623c997", "title": "Revisiting Knowledge Transfer for Training Object Class Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06128.pdf"], "doi": []}, {"id": "c2cb4da617168c76c4560a01de8b5e68b5250749", "title": "FineTag: Multi-attribute Classification at Fine-grained Level in Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07124.pdf"], "doi": []}, {"id": "87d5b53580ca5f77ccc3ff157337ef3456308943", "title": "Augmented Autoencoders for object orientation estimation trained on synthetic RGB images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/87d5/b53580ca5f77ccc3ff157337ef3456308943.pdf"], "doi": []}, {"id": "eb2333a759788903848c49111a03c4c00d188e70", "title": "Color-based and Rotation Invariant Self-similarities", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/61075/61075.pdf"], "doi": ["https://doi.org/10.5220/0006107503440351"]}, {"id": "af9cc1767f50f63291d7ca9ab709f6849cd1e46c", "title": "Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/af9c/c1767f50f63291d7ca9ab709f6849cd1e46c.pdf"], "doi": []}, {"id": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067436", "http://doi.org/10.1109/TCSVT.2015.2416555"]}, {"id": "8eaade06b75dac977574d05ce1058b86df059d47", "title": "Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation", "year": "2014", "pdf": ["http://people.eecs.berkeley.edu/~sgupta/pdf/ijcv14a.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0777-6"]}, {"id": "b9b21cfa7de32677151571ab44d27d2d246b7a03", "title": "Towards Explanation of DNN-based Prediction with Guided Feature Inversion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00506.pdf"], "doi": []}, {"id": "4152d2c8585f7e3f85d3b3d84036171de104cbd7", "title": "Rethinking ImageNet Pre-training", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08883.pdf"], "doi": []}, {"id": "b31f37fd71b7b45e6fd8978960e271a7db1ee212", "title": "DICTING IMAGE ROTATIONS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b31f/37fd71b7b45e6fd8978960e271a7db1ee212.pdf"], "doi": []}, {"id": "149f3cc167b046dc790b1f4f1c48eeb31e898403", "title": "A study of vehicle detector generalization on U.S. highway", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0669.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795567", "http://doi.org/10.1109/ITSC.2016.7795567"]}, {"id": "1a1654456decd116f4ca84c98006dfda0a8a3134", "title": "INTEGRATED VISUAL INFORMATION FOR MARITIME SURVEILLANCE", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a16/54456decd116f4ca84c98006dfda0a8a3134.pdf"], "doi": []}, {"id": "3e00dd86c084d8680409c65c1a48f1b3aa864eb7", "title": "Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1801.02439.pdf"], "doi": []}, {"id": "1e5edbd39b4c61f785515e117a74e2d280aefbe7", "title": "The urrent tate and TRL ssessment of eople racking echnology for ideo urveillance pplications", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1e5e/dbd39b4c61f785515e117a74e2d280aefbe7.pdf"], "doi": []}, {"id": "2e1f0b522014c942197e51b556eeb48b6ad66cda", "title": "Automatic object classification using motion blob based local feature fusion for traffic scene surveillance", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-012-1296-7"]}, {"id": "25858dc59faf2630bf0eefe23297ce262370cff0", "title": "Monitoring Giraffe Behavior in Thermal Video", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046812"]}, {"id": "e545f1c06799bfd2bd5f7eaed085fd60a388202f", "title": "A top-down manner-based DCNN architecture for semantic image segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e545/f1c06799bfd2bd5f7eaed085fd60a388202f.pdf"], "doi": []}, {"id": "7b3a63d030d03e536ddcbc217bc8d6fd630e3b53", "title": "xView: Objects in Context in Overhead Imagery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07856.pdf"], "doi": []}, {"id": "4a6049e1926cc8e574301cfb229599cdc0a64e62", "title": "Characterizing the performance of an image-based recognizer for planar mechanical linkages in textbook graphics and hand-drawn sketches", "year": "2015", "pdf": ["http://vdel.me.cmu.edu/publications/2015cag/paper.pdf"], "doi": ["http://doi.org/10.1016/j.cag.2015.06.002"]}, {"id": "ec6f1a4b9367675833f0111c44a22ba217fcbd23", "title": "Visual Tracking via Constrained Incremental Non-negative Matrix Factorization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045563", "http://doi.org/10.1109/LSP.2015.2404856"]}, {"id": "5950512e21114236208b9eaeebc9a09735e367a6", "title": "Master research Internship Internship report Segmentation and recognition of symbols for printed and handwritten music scores", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5950/512e21114236208b9eaeebc9a09735e367a6.pdf"], "doi": []}, {"id": "c7780cff11068fecb322a43e459c56267a88aee7", "title": "DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion", "year": "2017", "pdf": [], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "19b6b0649cc669791c799c52fc56bdc556f06916", "title": "Efficient Model Evaluation with Bilinear Separation Model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045964"]}, {"id": "cf58f90e14b49ce35548d89c7339b7fc4db9ba4f", "title": "Generating Diverse Image Datasets with Limited Labeling", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967285"]}, {"id": "4ff486644be5e451784d6ae83f8073c8320fa974", "title": "Visual Tracking with Convolutional Neural Network", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379494", "http://doi.org/10.1109/SMC.2015.362"]}, {"id": "a43f460f6c1abbe8eb0097594df6eafc0f651d49", "title": "Saliency-based object recognition in video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a43f/460f6c1abbe8eb0097594df6eafc0f651d49.pdf"], "doi": []}, {"id": "b4df58f1fd8a3bd0815e7fb957f7f07fddd77338", "title": "Rethinking the sGLOH Descriptor", "year": "2018", "pdf": ["http://cvg.dsi.unifi.it/colombo_now/CC/Public/sGLOH2_TPAMI_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911291", "http://doi.org/10.1109/TPAMI.2017.2697849", "https://www.ncbi.nlm.nih.gov/pubmed/28459683", "https://www.wikidata.org/entity/Q38811217"]}, {"id": "ceee9ba72a021ae5604db04a93fdcff421d60216", "title": "Encoder Based Lifelong Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01920.pdf"], "doi": []}, {"id": "c4a0e89793961dc486964802df55ae73fbba60ee", "title": "Soccer: Who Has the Ball? Generating Visual Analytics and Player Statistics", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w34/Theagarajan_Soccer_Who_Has_CVPR_2018_paper.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/FINAL-published-soccer-ball-generating.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575390", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00227", "http://doi.org/10.1109/CVPRW.2018.00227"]}, {"id": "2622d2467f19bc60427f8ea495515e7da82316c9", "title": "Tell Me Where to Look: Guided Attention Inference Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579058"]}, {"id": "ccee8af5667d1d3bccf30baf2c6f049f031bb5ad", "title": "Mixing Hierarchical Contexts for Object Recognition", "year": "2011", "pdf": ["http://web.ing.puc.cl/~asoto/papers/Peralta-2011.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-25085-9_27"]}, {"id": "c96f012f4915398259e7e223810c57898b5e1a76", "title": "Fast LIDAR-based Road Detection Using Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c96f/012f4915398259e7e223810c57898b5e1a76.pdf"], "doi": []}, {"id": "7142e659d6466717cdb8a242d8e34fce176b3f4a", "title": "Improved scene identification and object detection on egocentric vision of daily activities", "year": "2017", "pdf": ["http://crcv.ucf.edu/news&info/DefenseBooklet_FA17.pdf", "http://crcv.ucf.edu/papers/cviu2016-gonzalo.pdf", "http://vision.eecs.ucf.edu/papers/cviu2016-gonzalo.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.10.016"]}, {"id": "3b483c986b973856e016f761ec312c1a339766a5", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"id": "1281e443d2cf1c1dd71ed3b7b0376d408d0958af", "title": "SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks", "year": "2015", "pdf": ["http://www.cs.cornell.edu/~xhuang/publications/salicon_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Huang_SALICON_Reducing_the_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410395", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.38", "http://doi.org/10.1109/ICCV.2015.38"]}, {"id": "71f7be73a575f3689b0137446289d02462e1c5b0", "title": "Adaptive Multi-Scale Information Flow for Object Detection.", "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0266.pdf"], "doi": []}, {"id": "581fb0f0405c7f0e60610d88ceaceb9af44d8569", "title": "Final Report : Smart Trash Net : Waste Localization and Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581f/b0f0405c7f0e60610d88ceaceb9af44d8569.pdf"], "doi": []}, {"id": "eaa7c6293c9d858bd4c9897a5dfc7c670f2a8671", "title": "Distant Vehicle Detection Using Radar and Vision", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10951.pdf"], "doi": []}, {"id": "2cea306754ed83eaf1d0433abbfb05b5a4c4cf48", "title": "BIG-OH: BInarization of gradient orientation histograms", "year": "2014", "pdf": ["http://vgl-ait.org/mdailey/uploads/publication_file/filename/110/Baber-BIG-OH.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.08.006"]}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"], "doi": []}, {"id": "5a364ecb2d10b637c63b885d27eb372390232277", "title": "Unsupervised Robust Feature-Based Partition Ensembling to Discover Categories", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789641"]}, {"id": "1114c2aba97a5782a48341817811df2438d0fdbf", "title": "Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07498.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "8211c974ec152e79235cb57a03ba2971e913508f", "title": "Multimodal Image Retrieval", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-012-0006-4"]}, {"id": "eb69f89588e9538194750f12bf8c8df6d5301f3b", "title": "Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eb69/f89588e9538194750f12bf8c8df6d5301f3b.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": "d2e8efaa0d095c22455fe4eab260f94994bfb116", "title": "Stand-alone quality estimation of background subtraction algorithms", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.08.005"]}, {"id": "abe9f3b91fd26fa1b50cd685c0d20debfb372f73", "title": "The Pascal Visual Object Classes Challenge: A Retrospective", "year": "2014", "pdf": ["http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc14.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Everingham15/everingham15.pdf", "https://www.research.ed.ac.uk/portal/files/20017166/ijcv_voc14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0733-5"]}, {"id": "10d3f77225eca1d576268ba84ed83f230a5e47c4", "title": "Crafting a multi-task CNN for viewpoint estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03894.pdf"], "doi": []}, {"id": "a01c7eec51fa901b2526325f563480c152c58ee5", "title": "Contour Box: Rejecting Object Proposals without Explicit Closed Contours", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf", "http://www.cse.cuhk.edu.hk/leojia/papers/contour_iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.234", "http://doi.org/10.1109/ICCV.2015.234"]}, {"id": "3db4bdee7bc03239ef25d23cf8dc14ce5a5300e2", "title": "Sparse Coding for Object Recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "aa23d33983b1abd2d8a677040eb875e93c478a7f", "title": "Measuring the Objectness of Image Windows", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/alexe11-techreport.pdf", "http://groups.inf.ed.ac.uk/calvin/Publications/alexe12pami.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/techreports/eth_biwi_00882.pdf", "https://www.research.ed.ac.uk/portal/files/17686204/Alexe_et_al_2010_Measuring_the_objectnessi.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133291", "http://doi.org/10.1109/TPAMI.2012.28", "https://www.ncbi.nlm.nih.gov/pubmed/22248633", "https://www.wikidata.org/entity/Q50666022"]}, {"id": "cab372bc3824780cce20d9dd1c22d4df39ed081a", "title": "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.00915.pdf"], "doi": []}, {"id": "04e1c7618e4ef3e16159b27c522ddf94068c4f99", "title": "Reconstructing PASCAL VOC", "year": "2014", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://home.isr.uc.pt/~joaoluis/papers/cvpr2014_1.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr2014_1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vicente_Reconstructing_PASCAL_VOC_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909407", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.13", "http://doi.org/10.1109/CVPR.2014.13"]}, {"id": "127316fbe268c78c519ceb23d41100e86639418a", "title": "CNN Features Off-the-Shelf: An Astounding Baseline for Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6382.pdf"], "doi": []}, {"id": "148686aebefff0a7fb3f80024f765ef4b06d2efc", "title": "Learning Rich Features from RGB-D Images for Object Detection and Segmentation", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.5736.pdf"], "doi": []}, {"id": "1fef45786e707e6b9b8517b0403e596ecbdea6a5", "title": "Sketch-based manga retrieval using manga109 dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.04389.pdf"], "doi": []}, {"id": "4a19f6545473363b16d4a10ed13fef29b38856d3", "title": "What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.5027.pdf"], "doi": []}, {"id": "7d39d69b23424446f0400ef603b2e3e22d0309d6", "title": "YOLO9000: Better, Faster, Stronger", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08242.pdf"], "doi": []}, {"id": "9bde2137a6a374ff81820e55a75ae5b70bf7fd5e", "title": "PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25382277", "https://doi.org/10.1039/C4MB00414K"]}, {"id": "bfa6ad4d71008505729274d008a9b4a7d92b2985", "title": "Semantic Understanding of Scenes Through the ADE20K Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.05442.pdf"], "doi": []}, {"id": "21a1654b856cf0c64e60e58258669b374cb05539", "title": "You Only Look Once: Unified, Real-Time Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02640.pdf"], "doi": []}, {"id": "12660f0defc6580e566c0fa2ac909971d6c6883b", "title": "The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780721", "http://doi.org/10.1109/CVPR.2016.352", "https://www.wikidata.org/entity/Q57840870"]}, {"id": "ec187cedb69b389d06da26b17d889020e36ba6f6", "title": "ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240652"]}, {"id": "dcb6f06631021811091ce691592b12a237c12907", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438999", "http://doi.org/10.1109/TMM.2018.2865686"]}, {"id": "562463fafacca4bbe5256e318eb628bf915f4114", "title": "SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797084"]}, {"id": "8bc80a5d721757868d85d9e40c56c15d9b5c0df0", "title": "Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270088"]}, {"id": "51a4d658c93c5169eef7568d3d1cf53e8e495087", "title": "Unsupervised Visual Domain Adaptation Using Subspace Alignment", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751479"]}, {"id": "20a78d3145279dcd799cd7a856ae2714f4863a16", "title": "SSD: Single Shot MultiBox Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02325.pdf"], "doi": []}, {"id": "165ef2b5f86b9b2c68b652391db5ece8c5a0bc7e", "title": "Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780717"]}, {"id": "bf5f67ebbe41f2fb1726a7c3c0be707366d5a4fb", "title": "Indoor Segmentation and Support Inference from RGBD Images", "year": "2012", "pdf": ["http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf", "http://cs.nyu.edu/~silberman/papers/indoor_seg_support_supplementary.pdf", "http://videolectures.net/site/normal_dl/tag=725527/eccv2012_silberman_images_01.pdf", "http://web.engr.illinois.edu/~dhoiem/publications/eccv2012_indoorkinect_nathan.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33715-4_54"]}, {"id": "2f56b1ac5b9faac9527b6814778925e9242cf5fd", "title": "Training Region-Based Object Detectors with Online Hard Example Mining", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780458"]}, {"id": "42764b57d0794b63487a295ce8c07eeb6961477e", "title": "Instance-Aware Semantic Segmentation via Multi-task Network Cascades", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780712"]}, {"id": "6a1b76f1ef876061ec479ab9bc13fcd517eb4188", "title": "Large Kernel Matters \u2014 Improve Semantic Segmentation by Global Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02719.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": "24d66ec9dd202a6ea02b8723ae9d2fd7ffd32a4a", "title": "BING: Binarized Normed Gradients for Objectness Estimation at 300fps", "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_01.pdf", "http://mmcheng.net/mftp/Papers/BingPoster.pdf", "http://mmcheng.net/mftp/Papers/ObjectnessBING.pdf", "http://orca-mwe.cf.ac.uk/115427/1/CvmBING.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/BING-Binarized-Normed-Gradients-for-Objectness-Estimation-at-300fps.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cheng_BING_Binarized_Normed_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/14cvprObjectnessBING.pdf", "https://zimingzhang.files.wordpress.com/2014/10/14cvprobjectnessbing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909816", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.414", "http://doi.org/10.1109/CVPR.2014.414"]}, {"id": "21d4258394a9c8f0ea15f0792d67f7e645720ff6", "title": "Multiscale Combinatorial Grouping", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909443"]}, {"id": "58a6eb3584b2f5df2f25d39a218904d510cae516", "title": "The UAVid Dataset for Video Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10438.pdf"], "doi": []}, {"id": "1779b6a17ee68afafb6801477b165f19901689b2", "title": "Object Contour Detection with a Fully Convolutional Encoder-Decoder Network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780397"]}, {"id": "ab9d87a03ce3538ff42b6c26d87e676107cc392c", "title": "Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619260"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "b92a1ed9622b8268ae3ac9090e25789fc41cc9b8", "title": "Pooling in image representation: The visual codeword point of view", "year": "2013", "pdf": ["http://cedric.cnam.fr/~thomen/papers/avila_CVIU2012_final.pdf", "http://webia.lip6.fr/~thomen/papers/avila_CVIU2012_accepted.pdf"], "doi": ["https://doi.org/10.1016/j.cviu.2012.09.007"]}, {"id": "3282ae3a0111d4ff1176c513a0c65e9351f045e4", "title": "Generating Object Segmentation Proposals Using Global and Local Search", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909706"]}, {"id": "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "title": "Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2031.pdf"], "doi": []}, {"id": "031055c241b92d66b6984643eb9e05fd605f24e2", "title": "Multi-fold MIL Training for Weakly Supervised Object Localization", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cinbis_Multi-fold_MIL_Training_2014_CVPR_paper.pdf", "https://hal.inria.fr/hal-00975746/PDF/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909705", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.309", "http://doi.org/10.1109/CVPR.2014.309"]}, {"id": "501d004186c1ebe7da5e3a0631624e0b55ebeabb", "title": "Learning Coupled Feature Spaces for Cross-Modal Matching", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751370"]}, {"id": "e1c17b0271c12033e78662d6d7ccb56ad321992c", "title": "Interactive comment on \u201c Impact of VOCs on the formation of ozone in a central China city during severe pollution periods \u201d by Bowei", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1c1/7b0271c12033e78662d6d7ccb56ad321992c.pdf"], "doi": []}, {"id": "aa4cc6506e837390486e5b836fb3dac8d15daafa", "title": "ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCVW_2018/papers/11134/Kniaz_ThermalGAN_Multimodal_Color-to-Thermal_Image_Translation_for_Person_Re-Identification_in_Multispectral_ECCVW_2018_paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-11024-6_46"]}, {"id": "522fab628aab972f39835521e31564b4b6c64fe5", "title": "Vehicle Classification on Low-resolution and Occluded images : A low-cost labeled dataset for augmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/522f/ab628aab972f39835521e31564b4b6c64fe5.pdf"], "doi": []}, {"id": "79267f6c2df78cca735e0bf7ed27b9f9ff263224", "title": "Instance-sensitive Fully Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08678.pdf"], "doi": []}, {"id": "2ec2f8cd6cf1a393acbc7881b8c81a78269cf5f7", "title": "Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2ec2/f8cd6cf1a393acbc7881b8c81a78269cf5f7.pdf"], "doi": []}, {"id": "851a884a89a95968c2edcad9787994ccaa8b51a8", "title": "BING: Binarized normed gradients for objectness estimation at 300fps", "year": "2018", "pdf": ["http://mmcheng.net/mftp/Papers/ObjectnessBING.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/2014.5.6PPT.pdf"], "doi": ["https://doi.org/10.1007/s41095-018-0120-1"]}, {"id": "f78db8e59ba354258c3eb4fff2ec67564975436f", "title": "Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09263.pdf"], "doi": []}, {"id": "6de2b1058c5b717878cce4e7e50d3a372cc4aaa6", "title": "Generative Adversarial Nets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6de2/b1058c5b717878cce4e7e50d3a372cc4aaa6.pdf"], "doi": []}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "1c0e8c3fb143eb5eb5af3026eae7257255fcf814", "title": "Weakly Supervised Deep Detection Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02853.pdf"], "doi": []}, {"id": "67490b6f34c827f107b046adeef0f5476132d4f8", "title": "How good are detection proposals, really?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6962.pdf"], "doi": []}, {"id": "00f8d6db6cf5c5e2a9df1604a09db06d8eb574dd", "title": "Geometric Mining: Scaling Geometric Hashing to Large Datasets", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406484"]}, {"id": "33da83b54410af11d0cd18fd07c74e1a99f67e84", "title": "DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1310.1531.pdf"], "doi": []}, {"id": "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "title": "CNN-RNN: A Unified Framework for Multi-label Image Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04573.pdf"], "doi": []}, {"id": "1cf29a0131211079fc73908ecf211ee78f090ad9", "title": "Regionlets for Generic Object Detection", "year": "2013", "pdf": ["http://image-net.org/challenges/LSVRC/2013/slides/ILSVRC2013_NEC.pdf", "http://users.eecs.northwestern.edu/~mya671/mypapers/ICCV13_Wang_Yang_Zhu_Lin.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201510210855/regionlets.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/Regionlets%20for%20Generic%20Object%20Detection.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Wang_Regionlets_for_Generic_2013_ICCV_paper.pdf", "http://www.ece.northwestern.edu/~mya671/mypapers/ICCV13_Wang_Yang_Zhu_Lin.pdf", "http://www.xiaoyumu.com/s//PDF/Regionlets.pdf", "http://www.xiaoyumu.com/s/PDF/Regionlets-pami.pdf", "http://www.xiaoyumu.com/s/slides/Regionlets_imagenet_web.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751111", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.10", "http://doi.org/10.1109/TPAMI.2015.2389830", "https://www.ncbi.nlm.nih.gov/pubmed/26353185", "https://www.wikidata.org/entity/Q50562532"]}, {"id": "08fe9658c086b842980e86c66bde3cef95bb6bec", "title": "Deformable part models are convolutional neural networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.5403.pdf"], "doi": []}, {"id": "79cfb51a51fc093f66aac8e858afe2e14d4a1f20", "title": "Focal Loss for Dense Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237586"]}, {"id": "2640a376c2b51f83420526646613e85d730eab37", "title": "Saliency Detection via Graph-Based Manifold Ranking", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619251"]}, {"id": "3dd2f70f48588e9bb89f1e5eec7f0d8750dd920a", "title": "Fast R-CNN", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410526"]}, {"id": "c88c233c50f49b4b85a8702d5ee384d96fca8c23", "title": "Object-Proposal Evaluation Protocol is \u2018Gameable\u2019", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780466"]}, {"id": "2a94c84383ee3de5e6211d43d16e7de387f68878", "title": "Feature Pyramid Networks for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099589"]}, {"id": "35173e7bff5490a1701d02eda6f406a404111953", "title": "Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781017"]}, {"id": "cdfe4e46d949b68c682e554c402d16679fd7247c", "title": "Stacked Deconvolutional Network for Semantic Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04943.pdf"], "doi": []}, {"id": "647c6ac5e0bfee0241d583650f18c6314f28aaee", "title": "Segmentation Driven Object Detection with Fisher Vectors", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cinbis_Segmentation_Driven_Object_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.369", "http://doi.org/10.1109/ICCV.2013.369"]}, {"id": "1cf25786f1e473fdbfcd817cfa37b0ad12806e72", "title": "Co-segmentation by Composition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751271"]}, {"id": "272216c1f097706721096669d85b2843c23fa77d", "title": "Adam: A Method for Stochastic Optimization", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6980.pdf"], "doi": []}, {"id": "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "b9c830332608afbbf452a20afeff38ca5aac2e27", "title": "Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410477"]}, {"id": "3671d0262c502e292fa8d2333ab50b3e827dbcee", "title": "Relaxed Multiple-Instance SVM with Application to Object Discovery", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410502"]}, {"id": "14b5e8ba23860f440ea83ed4770e662b2a111119", "title": "Visualizing and Understanding Convolutional Networks", "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.2901.pdf"], "doi": []}, {"id": "3bde1aae1db3577938ffe910a9de5a1f187840e9", "title": "RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780684"]}, {"id": "e257d1df3d9f979e37e97fe65f879a12703f80bd", "title": "Fast Image Classification by Boosting Fuzzy Classifiers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01068.pdf"], "doi": []}, {"id": "4c5a07ab1700a67afaf16fc9a7a2647f51358255", "title": "DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.05484.pdf"], "doi": []}, {"id": "94c5ced03a6f896a4b3bc5a98b8b2baf349d8852", "title": "Fully Convolutional Instance-Aware Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099955"]}, {"id": "beac53e8074b4822943a3374ff5e9fed98a891b8", "title": "Generate to Adapt: Aligning Domains Using Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578985"]}, {"id": "c0a0adb7f02d5509969e6107c914f7cc6e9ec881", "title": "Semantic Instance Segmentation via Deep Metric Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10277.pdf"], "doi": []}, {"id": "59c2f171f95941b5e36fc56fcbc6fa4d66b5fb55", "title": "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09246.pdf"], "doi": []}, {"id": "5c44807fb7a38d4c9c3ef3bdfb950b44c4a02a3f", "title": "Viewpoints and keypoints", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6067.pdf"], "doi": []}, {"id": "0cf8443bcb14cfd6ac5bcf0e3775c0aad45558b4", "title": "CRAFT Objects from Images", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781019"]}, {"id": "51ea36ff126f8b4546e46a8876b0a644659fc2f5", "title": "Higher Order Conditional Random Fields in Deep Neural Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.08119.pdf"], "doi": []}, {"id": "faeda3ca4ff5cc11717147f85d6416f704143120", "title": "Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d1f5/2a2daaa0421ae40dec1804ff32449175f19b.pdf"], "doi": []}, {"id": "28bc378a6b76142df8762cd3f80f737ca2b79208", "title": "Understanding Objects in Detail with Fine-Grained Attributes", "year": "2014", "pdf": ["http://people.cs.umass.edu/~smaji/papers/oid-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vedaldi_Understanding_Objects_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909858", "http://doi.org/10.1109/CVPR.2014.463", "https://www.wikidata.org/entity/Q58050718"]}, {"id": "56466f99025c26a163c8f6a9d31955f090230809", "title": "STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28114002", "https://doi.org/10.1109/TPAMI.2016.2636150"]}, {"id": "f0ee079a1f40736e5b7760b38781f090744f37fc", "title": "Contextualizing Object Detection and Classification", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353205", "https://doi.org/10.1109/TPAMI.2014.2343217", "https://www.wikidata.org/entity/Q40558547"]}, {"id": "27eca38a375af431430ca458ab3c723c59328634", "title": "ATLAS: A Three-Layered Approach to Facade Parsing", "year": "2015", "pdf": ["https://varcity.ethz.ch/paper/ijcv2015_mathias_atlas.pdf"], "doi": ["https://doi.org/10.1007/s11263-015-0868-z"]}, {"id": "32248e2a2f103cfdfe7e6a944dc0e4373e95d7b8", "title": "Deep Fisher Kernels -- End to End Learning of the Fisher Kernel GMM Parameters", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909578"]}, {"id": "3fd90098551bf88c7509521adf1c0ba9b5dfeb57", "title": "Attribute-Based Classification for Zero-Shot Visual Object Categorization", "year": "2014", "pdf": ["http://pub.ist.ac.at/~chl/papers/lampert-pami2013.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/zsl2016/zslpubs/lampert13pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6571196", "http://doi.org/10.1109/TPAMI.2013.140", "https://www.ncbi.nlm.nih.gov/pubmed/24457503", "https://www.wikidata.org/entity/Q38437353"]}, {"id": "15e024d8f5625ec03c8ac592fbc093687cfb5f02", "title": "The Visual Object Tracking VOT2015 Challenge Results", "year": "2015", "pdf": ["http://cell.missouri.edu/media/publications/Matej-KristanRengarajan_VOT2015-challenge-results_ICCVW-2015.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/Kristan2013The.pdf", "http://data.votchallenge.net/vot2015/presentations/vot_2015_paper.pdf", "http://liris.cnrs.fr/Documents/Liris-6875.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w14/papers/Kristan_The_Visual_Object_ICCV_2015_paper.pdf", "http://www.epics-project.eu/publications/2013_kristan_iccvw.pdf", "http://www.epics-project.eu/publications/2014_kristan_iccvw.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674992/visual_kristan_ICCVW_2015_ps.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406428", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.79", "http://doi.org/10.1109/ICCVW.2015.79", "https://hal.archives-ouvertes.fr/hal-01336773/document"]}, {"id": "a1bcdb820f6f0dde108996a18eefb239ef0e9566", "title": "Visual Tracking: An Experimental Survey.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353314", "https://doi.org/10.1109/TPAMI.2013.230"]}, {"id": "1af794673d64112edf60f071ca24066e6a227d2b", "title": "Online Object Tracking: A Benchmark", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619156"]}, {"id": "d082f64b8a0a07d105207eb822be58ffb61b353a", "title": "EMOTIC: Emotions in Context Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Lapedriza_EMOTIC_Emotions_in_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015019", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.285", "http://doi.org/10.1109/CVPRW.2017.285"]}, {"id": "2822a883d149956934a20614d6934c6ddaac6857", "title": "A survey of appearance models in visual object tracking", "year": "2013", "pdf": ["https://arxiv.org/pdf/1303.4803.pdf"], "doi": []}, {"id": "f727837e03a039d9bcec6d02cd87256f5a5854a4", "title": "Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03409.pdf"], "doi": []}, {"id": "ebe5a4c2dc3ca55a5aeedcd25a98ca6e446ce9cc", "title": "Hippocampal Activity Patterns Carry Information about Objects in Temporal Context", "year": "2014", "pdf": ["http://cogns.northwestern.edu/cbmg/pdfs/2.Hsieh_2014.pdf", "http://dml.ucdavis.edu/uploads/6/1/9/7/61974117/hseih_2014_hippocampal.pdf", "http://orca.cf.ac.uk/96034/7/Hsieh_NEURON-D-13-01629.1.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0896627314000208", "https://doi.org/10.1016/j.neuron.2014.01.015", "https://www.ncbi.nlm.nih.gov/pubmed/24607234"]}, {"id": "b7d540cd0de72e984cdec44afa4a4d039cfd5eea", "title": "Object Tracking Benchmark", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami15_tracking_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001050", "http://doi.org/10.1109/TPAMI.2014.2388226", "https://www.ncbi.nlm.nih.gov/pubmed/26353130", "https://www.wikidata.org/entity/Q35768210"]}, {"id": "149e5e5eeea5a9015ab5ae755f62c45ef70fa79b", "title": "Hierarchical Convolutional Features for Visual Tracking", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_tracking.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "https://filebox.ece.vt.edu/~jbhuang/poster/ICCV_2015_HCF_Poster.pdf", "https://filebox.ece.vt.edu/~jbhuang/slides/ICCV_2015_HCF_Slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410709", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.352", "http://doi.org/10.1109/ICCV.2015.352"]}, {"id": "05375a7489f0a84d47a316bacb4d86e8a7bda0df", "title": "Analysis of Scores, Datasets, and Models in Visual Saliency Prediction", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751224"]}, {"id": "58e6eaacaab3fbf9b307a8aec1c614027ff501ce", "title": "Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition", "year": "2012", "pdf": ["http://109.101.234.42/documente/publications/19-62.pdf", "http://sminchisescu.ins.uni-bonn.de/papers/ms12eccv.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w09-levent.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_60"]}, {"id": "36c91b1342c1357877e89b4c43f8eadb39755c0b", "title": "Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses", "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/YaoFei-Fei_PAMI2012.pdf", "http://cs.stanford.edu/groups/vision/pdf/yaopami12.pdf", "http://vision.stanford.edu/pdf/yaopami12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6165303", "http://doi.org/10.1109/TPAMI.2012.67", "https://www.ncbi.nlm.nih.gov/pubmed/22392710", "https://www.wikidata.org/entity/Q34185448"]}, {"id": "5b130e2a1fc3f71b7638cc5dde72481cf33264cc", "title": "Scene Recognition with CNNs: Objects, Scales and Dataset Bias", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780437"]}, {"id": "0da75bded3ae15e255f5bd376960cfeffa173b4e", "title": "The Role of Context for Object Detection and Semantic Segmentation in the Wild", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909514"]}, {"id": "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "title": "Visual Question Answering: Datasets, Algorithms, and Future Challenges", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.01465.pdf"], "doi": []}, {"id": "88c307c51594c6d802080a0780d0d654e2e2891f", "title": "Visual Question Answering: A Survey of Methods and Datasets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05910.pdf"], "doi": []}, {"id": "3cfbb77e5a0e24772cfdb2eb3d4f35dead54b118", "title": "Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2353/17b7ce64b4b3aefe57c1304e8157a4832d2c.pdf"], "doi": []}, {"id": "18e39b6f8f5c538d639bc0b46136ed93b5e3ef35", "title": "A Large Dataset of Object Scans", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.02481.pdf"], "doi": []}, {"id": "b31d6f201340ecec35bbe0f477710436f860605e", "title": "Learning Video Object Segmentation with Visual Memory", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237742"]}, {"id": "0558c94a094158ecd64f0d5014d3d9668054fb97", "title": "Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/528d/141aba97074977a332bb2d96364b716f246c.pdf"], "doi": []}, {"id": "09a503095db2d68b439e48d67481399198ed0e5b", "title": "Recurrent Models of Visual Attention", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6247.pdf"], "doi": []}, {"id": "350d507f5d899e4d7293b1aa951aa0f81b9fd30a", "title": "The Visual Object Tracking VOT2017 Challenge Results", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Kristan_The_Visual_Object_ICCV_2017_paper.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265440", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.230", "http://doi.org/10.1109/ICCVW.2017.230"]}, {"id": "7e232313a59d735ef7c8a9f4cc7bc980a29deb5e", "title": "Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1116-0"]}, {"id": "b4ee2a6b5fdf66f57e94a998cff2acef4af7d256", "title": "Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes", "year": "2013", "pdf": ["https://www.d2.mpi-inf.mpg.de/sites/default/files/wojek2013pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6265058", "http://doi.org/10.1109/TPAMI.2012.174", "https://www.ncbi.nlm.nih.gov/pubmed/22889818", "https://www.wikidata.org/entity/Q45823527"]}, {"id": "2ce63d77eecc35faef85a3b752a314c93a077ac9", "title": "Learning Multi-domain Convolutional Neural Networks for Visual Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780834"]}, {"id": "1c66fa1f3f189ca25bd657f53d77fde64c75f3da", "title": "Adaptive Color Attributes for Real-Time Visual Tracking", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909539"]}, {"id": "eb66303192a89c314ce4acae640ba700fa3293a3", "title": "Unsupervised Object Annotation through Context Analysis", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb66/303192a89c314ce4acae640ba700fa3293a3.pdf"], "doi": []}, {"id": "079ed21601974d0604544a6d816c2f51b5c039b8", "title": "Enriching Visual Knowledge Bases via Object Discovery and Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909658"]}, {"id": "7574b7e5a75fdd338c27af5aeb77ab79460c4437", "title": "Learning Dynamic Siamese Network for Visual Object Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237458"]}, {"id": "38a169b6e67ef7768f91fa208c9b5544f6f57f16", "title": "Object Bank: An Object-Level Image Representation for High-Level Visual Recognition", "year": "2013", "pdf": ["http://cs.stanford.edu/groups/vision/pdf/li_ijcv2013.pdf", "http://vision.stanford.edu/pdf/li_ijcv2013.pdf", "http://www.tpbin.com/Uploads/Subjects/79181d36-c45c-4f6c-821f-b7f9fcac3881.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0660-x"]}, {"id": "5527dd901b836e2f164c9fa3e62f57cd70c21745", "title": "3D object retrieval via range image queries in a bag-of-visual-words context", "year": "2013", "pdf": ["http://graphics.di.uoa.gr/Downloads/papers/journals/p43.pdf", "http://www.idi.ntnu.no/grupper/vis/wp-content/uploads/2013/09/Range3DRetrievalTVCfinal.pdf"], "doi": ["https://doi.org/10.1007/s00371-013-0876-3"]}, {"id": "5ea8a9ae2bf40c4722e618b732f769744ab57dfe", "title": "Context Driven Scene Parsing with Attention to Rare Classes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909817"]}, {"id": "2d84f49572c2b29b6c9e1818eb57e7f12bc4236e", "title": "Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751322"]}, {"id": "00319cd17cebae5e1095a248260bd7be15781362", "title": "A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01277.pdf"], "doi": []}, {"id": "0f060f011fe3093a24bf2cde96a4a833f58ec5a5", "title": "Object-based visual query suggestion", "year": "2012", "pdf": ["https://www.researchgate.net/profile/Pierre_Letessier/publication/257627352_Object-based_visual_query_suggestion/links/00b7d5260034959679000000.pdf"], "doi": ["https://doi.org/10.1007/s11042-012-1340-5"]}, {"id": "33baa52f583fb049f473a53d8e0ca5ac8e7abbf2", "title": "Reinforcement Learning for Visual Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780685"]}, {"id": "1631bc8b8fe853278b8e54bd3e9fff1445fa9f91", "title": "Visual Distance Measures for Object Retrieval", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411668"]}, {"id": "4a8e9e179b58d3e10448f5e4680b66f34c8bc573", "title": "Learning to segment moving objects in videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299035"]}, {"id": "0f6a8e9139cdd15fd0a8a292204aed21a8b51c5a", "title": "ReferItGame: Referring to Objects in Photographs of Natural Scenes", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f6a/8e9139cdd15fd0a8a292204aed21a8b51c5a.pdf"], "doi": []}, {"id": "1ced31e02234bc3d1092ffb2c7442ffbd51cb309", "title": "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780807"]}, {"id": "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "title": "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00982.pdf"], "doi": []}, {"id": "efa08283656714911acff2d5022f26904e451113", "title": "Active Object Localization in Visual Situations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00548.pdf"], "doi": []}, {"id": "1f7127b9ae86d7fac305c6b824801e455e82f511", "title": "Visual relationship detection with object spatial distribution", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019448", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019448", "http://doi.org/10.1109/ICME.2017.8019448"]}, {"id": "051830b0ea58d1568f19ec3297e301d9789c9a76", "title": "Bringing Semantics into Focus Using Visual Abstraction", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes.pdf", "http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes_rob.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d009.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zitnick_Bringing_Semantics_into_2013_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/ZitnickParikh_CVPR_2013_clipart.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619231", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.387", "http://doi.org/10.1109/CVPR.2013.387"]}, {"id": "64c4019f1ea9b54b1848418ac53c4e2584dc62d4", "title": "ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7433003"]}, {"id": "9a8e61cc9a95efe9e35df4d4230c7b8a655b7392", "title": "Unsupervised Joint Object Discovery and Segmentation in Internet Images", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619097"]}, {"id": "022027ce7475029f78fb3cdb758d947a8978ab5c", "title": "Invariant visual object recognition: biologically plausible approaches", "year": "2015", "pdf": ["http://wrap.warwick.ac.uk/77413/1/WRAP_422_2015_Article_658.pdf", "http://www.oxcns.org/papers/554%20Robinson%20Rolls%202015%20Invariant%20visual%20object%20recognition%20Biologically%20plausible%20models.pdf"], "doi": ["https://doi.org/10.1007/s00422-015-0658-2", "https://www.ncbi.nlm.nih.gov/pubmed/26335743", "https://www.wikidata.org/entity/Q43248757"]}, {"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": "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "title": "AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578731"]}, {"id": "ac6c28cd866bccbbca54da8b7bd5b2e0d5e9d0b4", "title": "Cross-Dataset Learning of Visual Concepts", "year": "2012", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/Semantic-Technologies/paper/amr2012.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-12093-5_4"]}, {"id": "bbe7f4217a9bd9c6d3826b5b62d59d183e729383", "title": "Discriminative Hough context model for object detection", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0780-x"]}, {"id": "55ca9fe4ae98904bfe026d22dcf1420ff9c0dd86", "title": "Dataset for Visual Reasoning", "year": "2017", "pdf": [], "doi": []}, {"id": "20f9a09defe5b02b98c464ca6df36b3b6358f60b", "title": "The State-of-the-Art in Visual Object Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cd46/4a309fa1736e1373f0bb06baf75e3d0abcac.pdf"], "doi": []}, {"id": "d86fabd4498c8feaed80ec342d254fb877fb92f5", "title": "Region-Object Relevance-Guided Visual Relationship Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d86f/abd4498c8feaed80ec342d254fb877fb92f5.pdf"], "doi": []}, {"id": "4405b44b5597787c42abeca6d0b3172175557b7b", "title": "Object discovery in 3D scenes via shape analysis", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6630857"]}, {"id": "8da0771e47c32405c4877cedce3ff84ac7390646", "title": "A survey of datasets for visual tracking", "year": "2015", "pdf": ["http://www.isir.upmc.fr/files/2015ACLI3545.pdf"], "doi": ["https://doi.org/10.1007/s00138-015-0713-y", "http://hal.upmc.fr/hal-01217152/document"]}, {"id": "4a75c3441cef2069458fe61a01196c2c8b32ee92", "title": "Single-trial classification of EEG in a visual object task using ICA and machine learning", "year": "2014", "pdf": ["https://www.research.ed.ac.uk/portal/files/14632594/Stewart.JNeurosciMeth.228.2014.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027014000752", "https://doi.org/10.1016/j.jneumeth.2014.02.014", "https://www.ncbi.nlm.nih.gov/pubmed/24613798"]}, {"id": "1456f147381bf7c385225d854c2fb48c19eca285", "title": "LCAV-31: a dataset for light field object recognition", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/197737/files/902014.pdf"], "doi": ["http://doi.org/10.1117/12.2041097"]}, {"id": "d7ed761cfe1b71aa7e4d08c355fcab131558f8c8", "title": "Learning Object Models on a Robot using Visual Context and Appearance Cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d7ed/761cfe1b71aa7e4d08c355fcab131558f8c8.pdf"], "doi": []}, {"id": "d53c79cce46820642f2d4e0f0dac9b31d1201f24", "title": "Visual object trapping", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.cviu.2016.07.007"]}, {"id": "5ffd74d2873b7cba2cbc5fd295cc7fbdedca22a2", "title": "The Cityscapes Dataset", "year": "2015", "pdf": [], "doi": []}, {"id": "14ca963b4e0b87fc7213b8e3a3e2371cee7ffad6", "title": "Exploring Causal Relationships in Visual Object Tracking", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410708"]}, {"id": "f9c602cc436a9ea2f9e7db48c77d924e09ce3c32", "title": "Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07747.pdf"], "doi": []}, {"id": "3ecb007d46614d5e5566b0ad7c96c0c4c8ac0d14", "title": "Enhancing Object Recognition With Dynamic Cognitive Context", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3ecb/007d46614d5e5566b0ad7c96c0c4c8ac0d14.pdf"], "doi": []}, {"id": "c8018f3dc6121d92da37f1756e7bd11a128aa55c", "title": "Region Filling and Object Removal by Exemplar based Image Inpainting", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c801/8f3dc6121d92da37f1756e7bd11a128aa55c.pdf"], "doi": []}, {"id": "051d8bbf12877c46ae9a598a386c5b72d1b103ac", "title": "Object Detection using Geometrical Context Feedback", "year": "2012", "pdf": ["http://cvgl.stanford.edu/papers/Sun_IJCV_2012.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0547-2"]}, {"id": "b0cd469a06fb2eae3a5cc0c860aa592f71b13f6d", "title": "IQA: Visual Question Answering in Interactive Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578528"]}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/wider_face.json b/site/datasets/unknown/wider_face.json
index 2d8765f3..cb97a528 100644
--- a/site/datasets/unknown/wider_face.json
+++ b/site/datasets/unknown/wider_face.json
@@ -1 +1 @@
-{"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "citations": [{"id": "0c36c988acc9ec239953ff1b3931799af388ef70", "title": "Face Detection Using Improved Faster RCNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02142.pdf"], "doi": []}, {"id": "c6ea6fee4823b511eecf41f6c2574a0728055baf", "title": "HoloFace: Augmenting Human-to-Human Interactions on HoloLens", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00278.pdf"], "doi": []}, {"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": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "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": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "b1d89015f9b16515735d4140c84b0bacbbef19ac", "title": "Too Far to See? Not Really!\u2014Pedestrian Detection With Scale-Aware Localization Policy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.00235.pdf"], "doi": []}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "795aa8064b34c4bf4acdd8be3f1e5d06da5a7756", "title": "Face-MagNet: Magnifying Feature Maps to Detect Small Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05258.pdf"], "doi": []}, {"id": "2e7cb40e06e6653027c6eae8353423513a116865", "title": "Hierarchical Network for Facial Palsy Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575249"]}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"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": "7f5b379b12505d60f9303aab1fea48515d36d098", "title": "Performance Comparison of Deep Learning Techniques for Recognizing Birds in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411873", "http://doi.ieeecomputersociety.org/10.1109/DSC.2018.00052", "http://doi.org/10.1109/DSC.2018.00052"]}, {"id": "2f16459e2e24dc91b3b4cac7c6294387d4a0eacf", "title": "Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining", "year": "2018", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2017/triantafyllidou_nousi_tefas_big_data_and_neural_networks.pdf"], "doi": ["http://doi.org/10.1016/j.bdr.2017.06.002"]}, {"id": "13b91ecf02ffeb91497b45a890732818052f5541", "title": "Finding Tiny Faces in the Wild with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578108"]}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "84dcf04802743d9907b5b3ae28b19cbbacd97981", "title": "Face Detection using Deep Learning: An Improved Faster RCNN Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08289.pdf"], "doi": []}, {"id": "be892645c24f800b9b615b496172cd9fac8d5fe8", "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578686"]}, {"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": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "544c5a8d30cd39b7797105b1e7c7e79264c1b1c3", "title": "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578342"]}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "4e27fec1703408d524d6b7ed805cdb6cba6ca132", "title": "SSD-Sface: Single shot multibox detector for small faces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7714/a5aa27ab5ad4d06a81fbb3e973d3b1002ac1.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": "d07284a6811f1b2745d91bdb06b040b57f226882", "title": "DECOUPLED WEIGHT DECAY REGULARIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d072/84a6811f1b2745d91bdb06b040b57f226882.pdf"], "doi": []}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "3b483c986b973856e016f761ec312c1a339766a5", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"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": "ad75879082132a73fe173a890a0f414f2c279739", "title": "A comparison of CNN-based face and head detectors for real-time video surveillance applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.03336.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": "032825000c03b8ab4c207e1af4daeb1f225eb025", "title": "A Novel Approach for Human Face Detection in Color Images Using Skin Color and Golden Ratio", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0328/25000c03b8ab4c207e1af4daeb1f225eb025.pdf"], "doi": []}, {"id": "7e1d2befac6946112cd80652d0c2b962e3c0d342", "title": "FA-RPN: Floating Region Proposals for Face Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05586.pdf"], "doi": []}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "24d376e4d580fb28fd66bc5e7681f1a8db3b6b78", "title": "Multi-Branch Fully Convolutional Network for Face Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06330.pdf"], "doi": []}, {"id": "981449cdd5b820268c0876477419cba50d5d1316", "title": "Learning Deep Features for One-Class Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05365.pdf"], "doi": []}, {"id": "bdfcc45cfa495939789b73eec7e6e98a4d7e3f41", "title": "A Real-Time Face Detector Based on an End-to-End CNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275797"]}, {"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": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "9a90ce38c5ad0fdfd18463a5ad8ff76ff625229e", "title": "IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575253"]}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"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": "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": "aafeb3d76155ec28e8ab6b4d063105d5e04e471d", "title": "Reconstructing Intensity Images from Binary Spatial Gradient Cameras", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w4/papers/Jayasuriya_Reconstructing_Intensity_Images_CVPR_2017_paper.pdf", "http://www.andrew.cmu.edu/user/sjayasur/gradcam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014781", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.47", "http://doi.org/10.1109/CVPRW.2017.47"]}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"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": "53c0ebe6bbdfc7b4718928b1d2f0a09ce899c741", "title": "Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12296.pdf"], "doi": []}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.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": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "d689063294e217f1ec8b83fe4b60e706f1934787", "title": "Simultaneous Face Detection and Pose Estimation Using Convolutional Neural Network Cascade", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8458127", "http://doi.org/10.1109/ACCESS.2018.2869465"]}, {"id": "5c3fd194ba96c5eea41c0772ad0b2292dedcd197", "title": "Understanding the Energy Saving Potential of Smart Scale Selection in the Viola and Jones Facial Detection Algorithm", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c3f/d194ba96c5eea41c0772ad0b2292dedcd197.pdf"], "doi": []}, {"id": "64c75774bead5c188405fd5c800a4b47103bc548", "title": "An Evaluation of Convolutional Neural Network Models for Object Detection in Images on Low-End Devices", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/64c7/5774bead5c188405fd5c800a4b47103bc548.pdf"], "doi": []}, {"id": "3a1c40eced07d59a3ea7acda94fa833c493909c1", "title": "AUMPNet: Simultaneous Action Units Detection and Intensity Estimation on Multipose Facial Images Using a Single Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961834", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.111", "http://doi.org/10.1109/FG.2017.111"]}]}
\ No newline at end of file
+{"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "citations": [{"id": "0c36c988acc9ec239953ff1b3931799af388ef70", "title": "Face Detection Using Improved Faster RCNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02142.pdf"], "doi": []}, {"id": "c6ea6fee4823b511eecf41f6c2574a0728055baf", "title": "HoloFace: Augmenting Human-to-Human Interactions on HoloLens", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00278.pdf"], "doi": []}, {"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": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "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": "b1d89015f9b16515735d4140c84b0bacbbef19ac", "title": "Too Far to See? Not Really!\u2014Pedestrian Detection With Scale-Aware Localization Policy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.00235.pdf"], "doi": []}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "795aa8064b34c4bf4acdd8be3f1e5d06da5a7756", "title": "Face-MagNet: Magnifying Feature Maps to Detect Small Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05258.pdf"], "doi": []}, {"id": "2e7cb40e06e6653027c6eae8353423513a116865", "title": "Hierarchical Network for Facial Palsy Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575249"]}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"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": "7f5b379b12505d60f9303aab1fea48515d36d098", "title": "Performance Comparison of Deep Learning Techniques for Recognizing Birds in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411873", "http://doi.ieeecomputersociety.org/10.1109/DSC.2018.00052", "http://doi.org/10.1109/DSC.2018.00052"]}, {"id": "2f16459e2e24dc91b3b4cac7c6294387d4a0eacf", "title": "Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining", "year": "2018", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2017/triantafyllidou_nousi_tefas_big_data_and_neural_networks.pdf"], "doi": ["http://doi.org/10.1016/j.bdr.2017.06.002"]}, {"id": "13b91ecf02ffeb91497b45a890732818052f5541", "title": "Finding Tiny Faces in the Wild with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578108"]}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "84dcf04802743d9907b5b3ae28b19cbbacd97981", "title": "Face Detection using Deep Learning: An Improved Faster RCNN Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08289.pdf"], "doi": []}, {"id": "be892645c24f800b9b615b496172cd9fac8d5fe8", "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578686"]}, {"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": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "544c5a8d30cd39b7797105b1e7c7e79264c1b1c3", "title": "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578342"]}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "4e27fec1703408d524d6b7ed805cdb6cba6ca132", "title": "SSD-Sface: Single shot multibox detector for small faces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7714/a5aa27ab5ad4d06a81fbb3e973d3b1002ac1.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": "d07284a6811f1b2745d91bdb06b040b57f226882", "title": "DECOUPLED WEIGHT DECAY REGULARIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d072/84a6811f1b2745d91bdb06b040b57f226882.pdf"], "doi": []}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "3b483c986b973856e016f761ec312c1a339766a5", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"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": "ad75879082132a73fe173a890a0f414f2c279739", "title": "A comparison of CNN-based face and head detectors for real-time video surveillance applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.03336.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": "032825000c03b8ab4c207e1af4daeb1f225eb025", "title": "A Novel Approach for Human Face Detection in Color Images Using Skin Color and Golden Ratio", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0328/25000c03b8ab4c207e1af4daeb1f225eb025.pdf"], "doi": []}, {"id": "7e1d2befac6946112cd80652d0c2b962e3c0d342", "title": "FA-RPN: Floating Region Proposals for Face Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05586.pdf"], "doi": []}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "24d376e4d580fb28fd66bc5e7681f1a8db3b6b78", "title": "Multi-Branch Fully Convolutional Network for Face Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06330.pdf"], "doi": []}, {"id": "981449cdd5b820268c0876477419cba50d5d1316", "title": "Learning Deep Features for One-Class Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05365.pdf"], "doi": []}, {"id": "bdfcc45cfa495939789b73eec7e6e98a4d7e3f41", "title": "A Real-Time Face Detector Based on an End-to-End CNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275797"]}, {"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": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "9a90ce38c5ad0fdfd18463a5ad8ff76ff625229e", "title": "IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575253"]}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"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": "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": "aafeb3d76155ec28e8ab6b4d063105d5e04e471d", "title": "Reconstructing Intensity Images from Binary Spatial Gradient Cameras", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w4/papers/Jayasuriya_Reconstructing_Intensity_Images_CVPR_2017_paper.pdf", "http://www.andrew.cmu.edu/user/sjayasur/gradcam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014781", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.47", "http://doi.org/10.1109/CVPRW.2017.47"]}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"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": "53c0ebe6bbdfc7b4718928b1d2f0a09ce899c741", "title": "Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12296.pdf"], "doi": []}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.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": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "d689063294e217f1ec8b83fe4b60e706f1934787", "title": "Simultaneous Face Detection and Pose Estimation Using Convolutional Neural Network Cascade", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8458127", "http://doi.org/10.1109/ACCESS.2018.2869465"]}, {"id": "5c3fd194ba96c5eea41c0772ad0b2292dedcd197", "title": "Understanding the Energy Saving Potential of Smart Scale Selection in the Viola and Jones Facial Detection Algorithm", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c3f/d194ba96c5eea41c0772ad0b2292dedcd197.pdf"], "doi": []}, {"id": "64c75774bead5c188405fd5c800a4b47103bc548", "title": "An Evaluation of Convolutional Neural Network Models for Object Detection in Images on Low-End Devices", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/64c7/5774bead5c188405fd5c800a4b47103bc548.pdf"], "doi": []}, {"id": "3a1c40eced07d59a3ea7acda94fa833c493909c1", "title": "AUMPNet: Simultaneous Action Units Detection and Intensity Estimation on Multipose Facial Images Using a Single Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961834", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.111", "http://doi.org/10.1109/FG.2017.111"]}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/youtube_celebrities.json b/site/datasets/unknown/youtube_celebrities.json
index ba9fb275..e4d4c2c1 100644
--- a/site/datasets/unknown/youtube_celebrities.json
+++ b/site/datasets/unknown/youtube_celebrities.json
@@ -1 +1 @@
-{"id": "6204776d31359d129a582057c2d788a14f8aadeb", "citations": [{"id": "85a32743d0f544ebf6d2edbb29a785073fccd634", "title": "Adaboost modular tensor locality preservative projection: face detection in video using Adaboost modular-based tensor locality preservative projections", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0406"]}, {"id": "080f74ef33634874645a7a55b42a2a89a3cfa713", "title": "An Adaptive Object Tracking Using Kalman Filter and Probability Product Kernel", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/080f/74ef33634874645a7a55b42a2a89a3cfa713.pdf"], "doi": []}, {"id": "5f665729542e1424172ba2200e0cdbe3bdb802df", "title": "Semi-supervised Spectral Clustering for Classification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.5737.pdf"], "doi": []}, {"id": "c0323bb0aa1782a14f3860158689578bc3b8f5e3", "title": "Multi-local model image set matching based on domain description", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2013.08.025"]}, {"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": "9dfe8918f83d1c1a1e059034440eea97679343ab", "title": "Kernelized Low Rank Representation on Grassmann Manifolds", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01806.pdf"], "doi": []}, {"id": "772c2c2064ba9201d7249f0ab4ef023919e92493", "title": "Kernel Learning for Extrinsic Classification of Manifold Features", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619077"]}, {"id": "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "title": "Recognition of Faces from single and Multi-View Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2213/7ce9c01a8fdebf92ef35407a5a5d18730dde.pdf"], "doi": []}, {"id": "582e2d44a44d66974588f04f15badd248b177542", "title": "Locally discriminative stable model for visual tracking with clustering and principle component analysis", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1049/iet-cvi.2012.0180"]}, {"id": "538faff98ddec5d9391a521c9a27aa0117af7d15", "title": "Spatio-temporal Keypoints for Video-Based Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976804", "http://doi.org/10.1109/ICPR.2014.93"]}, {"id": "e8ef27f07f8709ea66acaf8b30e858750fdb7d02", "title": "Who missed the class? \u2014 Unifying multi-face detection, tracking and recognition in videos", "year": "2014", "pdf": ["http://web.mst.edu/~yinz/Papers/ICME2014_MultiFaceDetectionTrackingRecognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890334", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890334", "http://doi.org/10.1109/ICME.2014.6890334"]}, {"id": "1303a83494da62032feee866225b731f6317f605", "title": "Fast, robust and automatic 3D face model reconstruction from videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918653", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918653", "http://doi.org/10.1109/AVSS.2014.6918653"]}, {"id": "9c55428269c69db700819cf1790062ce8e306fb6", "title": "Integrating Multimedia Semantic Content Analysis of YouTube Videos with Hurricane Wind Analysis for Public Situation Awareness and outreach", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1142/S0218194010004670", "https://www.wikidata.org/entity/Q58310643"]}, {"id": "cc1b7592f29fc3a945a38c742b356167731ef59f", "title": "Image-Set Matching by Two Dimensional Generalized Mutual Subspace Method", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7839575", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2016.034", "http://doi.org/10.1109/BRACIS.2016.034"]}, {"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": "5adb8e8e5de6b5ae0235afa02e4c9fc74aa35745", "title": "Identification of Relevant Features based on the Variation of Chrono-Valued Descriptors", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7437243"]}, {"id": "271550eae921bb41b5f71af16981244e916827bb", "title": "Compact Video Code and Its Application to Robust Face Retrieval in TV-Series", "year": "2014", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Compact%20Video%20Code%20and%20Its%20Application%20to%20Robust%20Face%20Retrieval%20in%20TV-Series_BMVC2014.pdf", "http://www.bmva.org/bmvc/2014/files/abstract084.pdf", "http://www.bmva.org/bmvc/2014/files/paper084.pdf"], "doi": ["https://doi.org/10.5244/C.28.93", "http://www.bmva.org/bmvc/2014/papers/paper084/index.html"]}, {"id": "5acb1e65fb9c572658c46345b197b614c7a80952", "title": "Selection-based dictionary learning for sparse representation in visual tracking", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.7282/T3BZ64S3", "https://rucore.libraries.rutgers.edu/rutgers-lib/39129/PDF/1/play/"]}, {"id": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "4dadf6f4d9a180d36e9902bc9b6de3b124cb8c92", "title": "Image set-based classification using collaborative exemplars representation", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11760-017-1198-0"]}, {"id": "f136e17e3ca8ea4446ca6b737d0b14745bacf9ef", "title": "Tensor-Train Recurrent Neural Networks for Video Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01786.pdf"], "doi": []}, {"id": "45eb8ae2c68bc515a1f105e135eea747cfd5bbd0", "title": "Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751150"]}, {"id": "347601254b7d760d6650c59722e8b1f1e471f393", "title": "Perception and Hierarchical Dynamics", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/36dd/1b0023dc853f9629fc06a61de592f845276b.pdf"], "doi": []}, {"id": "759e56b7d706da1b1ff7f31f7a2c166fd3ae598f", "title": "The research of face detection method based on adaboost algorithm and skin color segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261538"]}, {"id": "932b157ea4e554af580124b5575097d47fb6a707", "title": "Video-based Face Recognition : A Survey", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/8a56/665b1b191e66818193a3e899c650809a9df5.pdf"], "doi": []}, {"id": "5a4fb4cec2fb4465d4d642a6104cf4f5a83ae80b", "title": "An integrated robust approach for fast face tracking in noisy real-world videos with visual constraints", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8321899"]}, {"id": "a1402ffb3e9af83124069b71831705e2663204ec", "title": "Online subspace learning using a misalignment detection for tracking a talking face in video sequence", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2009.12.027"]}, {"id": "256c91400aa7e92160c889654614f70213947f06", "title": "Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling", "year": "2015", "pdf": ["https://arxiv.org/pdf/1410.7484.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": "b6b18e79efd0e789d943b517df7c374e7b965376", "title": "Surface representations and automatic feature learning for 3D object recognition", "year": "2016", "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": "402a5fde740501e6d207d1e810c19a8008a2e2fe", "title": "Incremental learning patch-based bag of facial words representation for face recognition in videos", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-013-1562-1"]}, {"id": "ce6f459462ea9419ca5adcc549d1d10e616c0213", "title": "A Survey on Face Identification Methodologies in Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ce6f/459462ea9419ca5adcc549d1d10e616c0213.pdf"], "doi": []}, {"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": "e679d7d4a43b7549c0439bf00c05dc844e9ecfc6", "title": "Image Set Classification for Low Resolution Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09470.pdf"], "doi": []}, {"id": "03adcf58d947a412f3904a79f2ab51cfdf0e838a", "title": "Video-based face recognition : a survey", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/03ad/cf58d947a412f3904a79f2ab51cfdf0e838a.pdf"], "doi": []}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "4dfb81596c10cc770d242757e22cb83751ebec43", "title": "Joint space learning for video-based face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486457"]}, {"id": "0a350543ef2521b144c80a831848cbf711523fc4", "title": "Video face tracking: a work in progress", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a35/0543ef2521b144c80a831848cbf711523fc4.pdf"], "doi": []}, {"id": "d1128415f741c970bbfd149c5ce6317d8abdbf8e", "title": "Efficient Image Set Classification Using Linear Regression Based Image Reconstruction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014822"]}, {"id": "9e58348c7f51911ad67cc87df132cf9d70da8a5c", "title": "Reinforcement Learning for Robust and Efficient Real-World Tracking", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597280"]}, {"id": "09d078f942ec4ff982714b58963803d30f98dbcc", "title": "Large margin image set representation and classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6889378"]}, {"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": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "51891f33c93cb7534c02fe20bcd13046a166e72e", "title": "Structured partial least squares based appearance model for visual tracking", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2014.02.034"]}, {"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": "f28bec263804f3d6b95f78a91d1ba8630ad5b7a2", "title": "A system for modeling social traits in realistic faces with artificial intelligence", "year": "2018", "pdf": [], "doi": []}, {"id": "0b28eedcc8ce4c06abc75d9327086ff7c7cf3510", "title": "Towards Large-Scale Face Recognition Based on Videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406490"]}, {"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": "113a1d0817b15f6330e140bb2ba5ed2620f2d5fb", "title": "Video-Based Face Recognition Based On State-Space Model", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.5281/zenodo.1088632", "https://waset.org/publications/17226/video-based-face-recognition-based-on-state-space-model"]}, {"id": "5305bfdff39ae74d2958ba28d42c16495ce2ff86", "title": "Regularized Least-Squares Coding with Unlabeled Dictionary for Image-Set Based Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008128", "http://doi.org/10.1109/DICTA.2014.7008128"]}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.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": "abac66ed5b0c89eed059667c041aedef89dbec9b", "title": "Kernelized Fast Algorithm for Regularized Hull-Based Face Recognition With Image Sets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8368237"]}, {"id": "3b7a682353683f7a62d37a7937fdf622c269d3b8", "title": "Correlation-based incremental visual tracking", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2011.08.026"]}, {"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": "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": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "a3677ff1b5ad66db12d81b5175b21ef2ae5f0955", "title": "Learning Structured Ordinal Measures for Video based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1507.02380.pdf"], "doi": []}, {"id": "454875688c220c25b45e877d71138219a1963ed4", "title": "Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6128684"]}, {"id": "2c9179fec33f69a5c1a453034dc7d3d3302839d3", "title": "Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami16_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360186", "http://doi.org/10.1109/TPAMI.2015.2509979", "https://www.ncbi.nlm.nih.gov/pubmed/26700969", "https://www.wikidata.org/entity/Q48636655"]}, {"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": "7238ad190988f86ad1ca5bbb8e5d0021802276c8", "title": "Face Recognition across Pose on Video Using Eigen Light-Fields", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6128716", "http://doi.ieeecomputersociety.org/10.1109/DICTA.2011.96", "http://doi.org/10.1109/DICTA.2011.96"]}, {"id": "ae853eb6d824e2c3c6b5d90475ef981d3c06cb98", "title": "Design of Robust Face Recognition System Realized with the Aid of Automatic Pose Estimation-based Classification and Preprocessing Networks Structure", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae85/3eb6d824e2c3c6b5d90475ef981d3c06cb98.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": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406479", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.130", "http://doi.org/10.1109/ICCVW.2015.130"]}, {"id": "2d634554ae82d07d8599dc8f2424ae5e9068617a", "title": "Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751499"]}, {"id": "1178a8ed61ec6714383f2e9791c27aea6d8022ad", "title": "Development of Robust Multiple Face Tracking Algorithm and Novel Performance Evaluation Metrics for Different Background Video Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1178/a8ed61ec6714383f2e9791c27aea6d8022ad.pdf"], "doi": []}, {"id": "243f795af7ba08fc7abd4a765cfd657b6e111d55", "title": "Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410825"]}, {"id": "cfb3c1c395b146021a70ae9d5cf7c76854108a86", "title": "S-Log: Skin based Log-Gabor Approach for Face Detection in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfb3/c1c395b146021a70ae9d5cf7c76854108a86.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": "c93cf675aa5fd0edd3435b082150ee65bd2457b0", "title": "Review of Face Detection Systems Based Artificial Neural Networks Algorithms", "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.1292.pdf"], "doi": []}, {"id": "0684811cb5df54945921ab762b10fbc6478ec0a0", "title": "Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations", "year": "2013", "pdf": ["https://arxiv.org/pdf/1210.1121.pdf"], "doi": []}, {"id": "f39c44e9e9dad5240af7d4d4020f35da7e7088ff", "title": "Multi-Order Statistical Descriptors for Real-Time Face Recognition and Object Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8271867"]}, {"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": "0b46dca675879c34c536b65a78c182b7bb6c7755", "title": "Multi view video based face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342705"]}, {"id": "e38ce7ad1b5fba83bc91f6961b0f36b196c0868b", "title": "Particle filtering on large dimensional state spaces and applications in computer vision", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.31274/etd-180810-3056", "https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=2781&context=etd&httpsredir=1&referer="]}, {"id": "45d25029a9dd71f47d2fb0693b9e070a0b1d0f10", "title": "Real-Time Face Tracking for Audience Engagement", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/45d2/5029a9dd71f47d2fb0693b9e070a0b1d0f10.pdf"], "doi": []}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "4ff5643ff5fbb791b902addd4b31b3e4eb11b4b3", "title": "Learning Where to Attend with Deep Architectures for Image Tracking", "year": "2012", "pdf": ["https://arxiv.org/pdf/1109.3737.pdf"], "doi": []}, {"id": "122aef0d23489b3d97bd093eadd38c2a73102263", "title": "Online People Tracking and Identification with RFID and Kinect", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.03824.pdf"], "doi": []}, {"id": "364c8a768fe821aec4def9a9d7a6b8ef288615d8", "title": "PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change", "year": "2013", "pdf": ["https://arxiv.org/pdf/1301.1374.pdf"], "doi": []}, {"id": "cdd5062627c7b331d64a1dec25989815cd9a4913", "title": "GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cdd5/062627c7b331d64a1dec25989815cd9a4913.pdf"], "doi": []}, {"id": "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "title": "Engineered and learned features for face and facial expression recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "f8925f543054d2cf411c88437b9dc3398a87c780", "title": "Robust Video-based Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f892/5f543054d2cf411c88437b9dc3398a87c780.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": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "225e9b5edb967b132c97dece8b0a526edff78889", "title": "Real Time Face Detection Based on Motion and Skin Color Information", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6280377"]}, {"id": "640aafdbd0eedd6001bd9cbe31045aa12223f65a", "title": "Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds", "year": "2015", "pdf": ["https://arxiv.org/pdf/1401.8126.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": "47a2252fdb2c5dae498a61dd73bfd48a8c5bb4d0", "title": "Semi-supervised Spectral Clustering for Image Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909417"]}, {"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": "0ac39e43deccef7b35f054b9784095027e6126af", "title": "Quality Based Frame Selection for Face Clustering in News Video", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6691517"]}, {"id": "46e05393f9b8169106b7c8e55ef2bd9f1931a362", "title": "Year : 2009 Perception and hierarchical dynamics", "year": "2010", "pdf": [], "doi": []}, {"id": "ff101205e1f71f6303073c04a5f23c2ad7cbeeb8", "title": "Face Detection for Human Identification in Surveillance", "year": "2014", "pdf": [], "doi": []}, {"id": "69c0ee6c2344ee7408b5095b00fe8b162b732325", "title": "Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909613"]}, {"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": "5bdfb28477ea9a8a1d4a28cba8675696e709555b", "title": "Learning Non-linear Reconstruction Models for Image Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909643"]}, {"id": "33daea82ae459324e42aa703b5e9809b5e4bf9af", "title": "Learning Deep Match Kernels for Image-Set Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100144"]}, {"id": "875b00be3e95382c930692efb20633ae7994c08e", "title": "Face Tracking and Recognition via Incremental Local Sparse Representation", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6643722"]}, {"id": "02203deb1aba9f54e12c2bf89c3b4096435164ad", "title": "Optimizing over Radial Kernels on Compact Manifolds", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909881"]}, {"id": "4ea53e76246afae94758c1528002808374b75cfa", "title": "A Review of Scholastic Examination and Models for Face Recognition and Retrieval in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4ea5/3e76246afae94758c1528002808374b75cfa.pdf"], "doi": []}, {"id": "36eb5ac678c49f29db681cbfab7576c0619b0df1", "title": "Human Motion Tracking using a Color-Based Particle Filter Driven by Optical Flow", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/e3c0/9607a14339f6e862ec74fbe6fdc83463ba63.pdf"], "doi": []}, {"id": "9a1dee546bdf48ab9028900ed034ae9d9da87c35", "title": "Multi-manifolds Discriminative Canonical Correlation Analysis for Image Set-Based Face Recognition", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s12559-016-9403-y"]}, {"id": "31a2fb63a3fc67da9932474cda078c9ac43f85c5", "title": "Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.0265.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": "8235f2f55ecfc80bd80cc1c2a1e8fe1e50bbec27", "title": "Computationally efficient application of the generic shape-illumination invariant to face recognition from video", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2011.07.002"]}, {"id": "a018e597608609018f3f11c4b8cda0cb2c6aff1e", "title": "Grassmann manifold for nearest points image set classification", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2015.09.008"]}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"], "doi": []}, {"id": "4e47663416e0b45fbcfb9d67304f30409a8ddfa9", "title": "Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers", "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=630C1561D647723F6FA360B5E4CBA559?doi=10.1.1.309.6901&rep=rep1&type=pdf", "http://iris.usc.edu/Outlines/papers/2008/yu-dinh-medioni-eccv08.pdf", "http://iris.usc.edu/Vision-Users/OldUsers/qianyu/ECCV2008.pdf", "http://iris.usc.edu/people/thangdin/files/Thang_ECCV08.pdf"], "doi": ["https://doi.org/10.1007/978-3-540-88688-4_50"]}, {"id": "5d8eba56d0c1db6873abff7966956bb44e652d71", "title": "International Journal of Application or Innovation in Engineering & Management ( IJAIEM ) Web", "year": "", "pdf": ["https://pdfs.semanticscholar.org/5d8e/ba56d0c1db6873abff7966956bb44e652d71.pdf"], "doi": []}, {"id": "536807e72623afe885abc82a6ad075a2e48f8c17", "title": "Optimizing feature selection in video-based recognition using Max-Min Ant System for the online video contextual advertisement user-oriented system", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.jocs.2016.10.016"]}, {"id": "b885b656f6a5523e8c5d0b6bd6ac5a60ad8057e2", "title": "Combination of sequential class distributions from multiple channels using Markov fusion networks", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s12193-014-0149-0"]}, {"id": "0b7e9fb57d91fa44aa5879c1024133c331ee8906", "title": "Lee Video-Based Face Recognition Based On State-Space Model", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0b7e/9fb57d91fa44aa5879c1024133c331ee8906.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "6204776d31359d129a582057c2d788a14f8aadeb", "citations": [{"id": "85a32743d0f544ebf6d2edbb29a785073fccd634", "title": "Adaboost modular tensor locality preservative projection: face detection in video using Adaboost modular-based tensor locality preservative projections", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0406"]}, {"id": "080f74ef33634874645a7a55b42a2a89a3cfa713", "title": "An Adaptive Object Tracking Using Kalman Filter and Probability Product Kernel", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/080f/74ef33634874645a7a55b42a2a89a3cfa713.pdf"], "doi": []}, {"id": "5f665729542e1424172ba2200e0cdbe3bdb802df", "title": "Semi-supervised Spectral Clustering for Classification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.5737.pdf"], "doi": []}, {"id": "c0323bb0aa1782a14f3860158689578bc3b8f5e3", "title": "Multi-local model image set matching based on domain description", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2013.08.025"]}, {"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": "9dfe8918f83d1c1a1e059034440eea97679343ab", "title": "Kernelized Low Rank Representation on Grassmann Manifolds", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01806.pdf"], "doi": []}, {"id": "772c2c2064ba9201d7249f0ab4ef023919e92493", "title": "Kernel Learning for Extrinsic Classification of Manifold Features", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619077"]}, {"id": "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "title": "Recognition of Faces from single and Multi-View Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2213/7ce9c01a8fdebf92ef35407a5a5d18730dde.pdf"], "doi": []}, {"id": "582e2d44a44d66974588f04f15badd248b177542", "title": "Locally discriminative stable model for visual tracking with clustering and principle component analysis", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1049/iet-cvi.2012.0180"]}, {"id": "538faff98ddec5d9391a521c9a27aa0117af7d15", "title": "Spatio-temporal Keypoints for Video-Based Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976804", "http://doi.org/10.1109/ICPR.2014.93"]}, {"id": "e8ef27f07f8709ea66acaf8b30e858750fdb7d02", "title": "Who missed the class? \u2014 Unifying multi-face detection, tracking and recognition in videos", "year": "2014", "pdf": ["http://web.mst.edu/~yinz/Papers/ICME2014_MultiFaceDetectionTrackingRecognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890334", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890334", "http://doi.org/10.1109/ICME.2014.6890334"]}, {"id": "1303a83494da62032feee866225b731f6317f605", "title": "Fast, robust and automatic 3D face model reconstruction from videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918653", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918653", "http://doi.org/10.1109/AVSS.2014.6918653"]}, {"id": "9c55428269c69db700819cf1790062ce8e306fb6", "title": "Integrating Multimedia Semantic Content Analysis of YouTube Videos with Hurricane Wind Analysis for Public Situation Awareness and outreach", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1142/S0218194010004670", "https://www.wikidata.org/entity/Q58310643"]}, {"id": "cc1b7592f29fc3a945a38c742b356167731ef59f", "title": "Image-Set Matching by Two Dimensional Generalized Mutual Subspace Method", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7839575", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2016.034", "http://doi.org/10.1109/BRACIS.2016.034"]}, {"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": "5adb8e8e5de6b5ae0235afa02e4c9fc74aa35745", "title": "Identification of Relevant Features based on the Variation of Chrono-Valued Descriptors", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7437243"]}, {"id": "271550eae921bb41b5f71af16981244e916827bb", "title": "Compact Video Code and Its Application to Robust Face Retrieval in TV-Series", "year": "2014", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Compact%20Video%20Code%20and%20Its%20Application%20to%20Robust%20Face%20Retrieval%20in%20TV-Series_BMVC2014.pdf", "http://www.bmva.org/bmvc/2014/files/abstract084.pdf", "http://www.bmva.org/bmvc/2014/files/paper084.pdf"], "doi": ["https://doi.org/10.5244/C.28.93", "http://www.bmva.org/bmvc/2014/papers/paper084/index.html"]}, {"id": "5acb1e65fb9c572658c46345b197b614c7a80952", "title": "Selection-based dictionary learning for sparse representation in visual tracking", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.7282/T3BZ64S3", "https://rucore.libraries.rutgers.edu/rutgers-lib/39129/PDF/1/play/"]}, {"id": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "4dadf6f4d9a180d36e9902bc9b6de3b124cb8c92", "title": "Image set-based classification using collaborative exemplars representation", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11760-017-1198-0"]}, {"id": "f136e17e3ca8ea4446ca6b737d0b14745bacf9ef", "title": "Tensor-Train Recurrent Neural Networks for Video Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01786.pdf"], "doi": []}, {"id": "45eb8ae2c68bc515a1f105e135eea747cfd5bbd0", "title": "Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751150"]}, {"id": "347601254b7d760d6650c59722e8b1f1e471f393", "title": "Perception and Hierarchical Dynamics", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/36dd/1b0023dc853f9629fc06a61de592f845276b.pdf"], "doi": []}, {"id": "759e56b7d706da1b1ff7f31f7a2c166fd3ae598f", "title": "The research of face detection method based on adaboost algorithm and skin color segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261538"]}, {"id": "932b157ea4e554af580124b5575097d47fb6a707", "title": "Video-based Face Recognition : A Survey", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/8a56/665b1b191e66818193a3e899c650809a9df5.pdf"], "doi": []}, {"id": "5a4fb4cec2fb4465d4d642a6104cf4f5a83ae80b", "title": "An integrated robust approach for fast face tracking in noisy real-world videos with visual constraints", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8321899"]}, {"id": "a1402ffb3e9af83124069b71831705e2663204ec", "title": "Online subspace learning using a misalignment detection for tracking a talking face in video sequence", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2009.12.027"]}, {"id": "256c91400aa7e92160c889654614f70213947f06", "title": "Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling", "year": "2015", "pdf": ["https://arxiv.org/pdf/1410.7484.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": "b6b18e79efd0e789d943b517df7c374e7b965376", "title": "Surface representations and automatic feature learning for 3D object recognition", "year": "2016", "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": "402a5fde740501e6d207d1e810c19a8008a2e2fe", "title": "Incremental learning patch-based bag of facial words representation for face recognition in videos", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-013-1562-1"]}, {"id": "ce6f459462ea9419ca5adcc549d1d10e616c0213", "title": "A Survey on Face Identification Methodologies in Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ce6f/459462ea9419ca5adcc549d1d10e616c0213.pdf"], "doi": []}, {"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": "e679d7d4a43b7549c0439bf00c05dc844e9ecfc6", "title": "Image Set Classification for Low Resolution Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09470.pdf"], "doi": []}, {"id": "03adcf58d947a412f3904a79f2ab51cfdf0e838a", "title": "Video-based face recognition : a survey", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/03ad/cf58d947a412f3904a79f2ab51cfdf0e838a.pdf"], "doi": []}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "4dfb81596c10cc770d242757e22cb83751ebec43", "title": "Joint space learning for video-based face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486457"]}, {"id": "0a350543ef2521b144c80a831848cbf711523fc4", "title": "Video face tracking: a work in progress", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a35/0543ef2521b144c80a831848cbf711523fc4.pdf"], "doi": []}, {"id": "d1128415f741c970bbfd149c5ce6317d8abdbf8e", "title": "Efficient Image Set Classification Using Linear Regression Based Image Reconstruction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014822"]}, {"id": "9e58348c7f51911ad67cc87df132cf9d70da8a5c", "title": "Reinforcement Learning for Robust and Efficient Real-World Tracking", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597280"]}, {"id": "09d078f942ec4ff982714b58963803d30f98dbcc", "title": "Large margin image set representation and classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6889378"]}, {"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": "51891f33c93cb7534c02fe20bcd13046a166e72e", "title": "Structured partial least squares based appearance model for visual tracking", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2014.02.034"]}, {"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": "f28bec263804f3d6b95f78a91d1ba8630ad5b7a2", "title": "A system for modeling social traits in realistic faces with artificial intelligence", "year": "2018", "pdf": [], "doi": []}, {"id": "0b28eedcc8ce4c06abc75d9327086ff7c7cf3510", "title": "Towards Large-Scale Face Recognition Based on Videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406490"]}, {"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": "113a1d0817b15f6330e140bb2ba5ed2620f2d5fb", "title": "Video-Based Face Recognition Based On State-Space Model", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.5281/zenodo.1088632", "https://waset.org/publications/17226/video-based-face-recognition-based-on-state-space-model"]}, {"id": "5305bfdff39ae74d2958ba28d42c16495ce2ff86", "title": "Regularized Least-Squares Coding with Unlabeled Dictionary for Image-Set Based Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008128", "http://doi.org/10.1109/DICTA.2014.7008128"]}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.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": "abac66ed5b0c89eed059667c041aedef89dbec9b", "title": "Kernelized Fast Algorithm for Regularized Hull-Based Face Recognition With Image Sets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8368237"]}, {"id": "3b7a682353683f7a62d37a7937fdf622c269d3b8", "title": "Correlation-based incremental visual tracking", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2011.08.026"]}, {"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": "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": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "a3677ff1b5ad66db12d81b5175b21ef2ae5f0955", "title": "Learning Structured Ordinal Measures for Video based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1507.02380.pdf"], "doi": []}, {"id": "454875688c220c25b45e877d71138219a1963ed4", "title": "Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6128684"]}, {"id": "2c9179fec33f69a5c1a453034dc7d3d3302839d3", "title": "Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami16_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360186", "http://doi.org/10.1109/TPAMI.2015.2509979", "https://www.ncbi.nlm.nih.gov/pubmed/26700969", "https://www.wikidata.org/entity/Q48636655"]}, {"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": "7238ad190988f86ad1ca5bbb8e5d0021802276c8", "title": "Face Recognition across Pose on Video Using Eigen Light-Fields", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6128716", "http://doi.ieeecomputersociety.org/10.1109/DICTA.2011.96", "http://doi.org/10.1109/DICTA.2011.96"]}, {"id": "ae853eb6d824e2c3c6b5d90475ef981d3c06cb98", "title": "Design of Robust Face Recognition System Realized with the Aid of Automatic Pose Estimation-based Classification and Preprocessing Networks Structure", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae85/3eb6d824e2c3c6b5d90475ef981d3c06cb98.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": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406479", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.130", "http://doi.org/10.1109/ICCVW.2015.130"]}, {"id": "2d634554ae82d07d8599dc8f2424ae5e9068617a", "title": "Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751499"]}, {"id": "1178a8ed61ec6714383f2e9791c27aea6d8022ad", "title": "Development of Robust Multiple Face Tracking Algorithm and Novel Performance Evaluation Metrics for Different Background Video Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1178/a8ed61ec6714383f2e9791c27aea6d8022ad.pdf"], "doi": []}, {"id": "243f795af7ba08fc7abd4a765cfd657b6e111d55", "title": "Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410825"]}, {"id": "cfb3c1c395b146021a70ae9d5cf7c76854108a86", "title": "S-Log: Skin based Log-Gabor Approach for Face Detection in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfb3/c1c395b146021a70ae9d5cf7c76854108a86.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": "c93cf675aa5fd0edd3435b082150ee65bd2457b0", "title": "Review of Face Detection Systems Based Artificial Neural Networks Algorithms", "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.1292.pdf"], "doi": []}, {"id": "0684811cb5df54945921ab762b10fbc6478ec0a0", "title": "Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations", "year": "2013", "pdf": ["https://arxiv.org/pdf/1210.1121.pdf"], "doi": []}, {"id": "f39c44e9e9dad5240af7d4d4020f35da7e7088ff", "title": "Multi-Order Statistical Descriptors for Real-Time Face Recognition and Object Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8271867"]}, {"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": "0b46dca675879c34c536b65a78c182b7bb6c7755", "title": "Multi view video based face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342705"]}, {"id": "e38ce7ad1b5fba83bc91f6961b0f36b196c0868b", "title": "Particle filtering on large dimensional state spaces and applications in computer vision", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.31274/etd-180810-3056", "https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=2781&context=etd&httpsredir=1&referer="]}, {"id": "45d25029a9dd71f47d2fb0693b9e070a0b1d0f10", "title": "Real-Time Face Tracking for Audience Engagement", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/45d2/5029a9dd71f47d2fb0693b9e070a0b1d0f10.pdf"], "doi": []}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "4ff5643ff5fbb791b902addd4b31b3e4eb11b4b3", "title": "Learning Where to Attend with Deep Architectures for Image Tracking", "year": "2012", "pdf": ["https://arxiv.org/pdf/1109.3737.pdf"], "doi": []}, {"id": "122aef0d23489b3d97bd093eadd38c2a73102263", "title": "Online People Tracking and Identification with RFID and Kinect", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.03824.pdf"], "doi": []}, {"id": "364c8a768fe821aec4def9a9d7a6b8ef288615d8", "title": "PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change", "year": "2013", "pdf": ["https://arxiv.org/pdf/1301.1374.pdf"], "doi": []}, {"id": "cdd5062627c7b331d64a1dec25989815cd9a4913", "title": "GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cdd5/062627c7b331d64a1dec25989815cd9a4913.pdf"], "doi": []}, {"id": "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "title": "Engineered and learned features for face and facial expression recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "f8925f543054d2cf411c88437b9dc3398a87c780", "title": "Robust Video-based Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f892/5f543054d2cf411c88437b9dc3398a87c780.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": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "225e9b5edb967b132c97dece8b0a526edff78889", "title": "Real Time Face Detection Based on Motion and Skin Color Information", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6280377"]}, {"id": "640aafdbd0eedd6001bd9cbe31045aa12223f65a", "title": "Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds", "year": "2015", "pdf": ["https://arxiv.org/pdf/1401.8126.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": "47a2252fdb2c5dae498a61dd73bfd48a8c5bb4d0", "title": "Semi-supervised Spectral Clustering for Image Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909417"]}, {"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": "0ac39e43deccef7b35f054b9784095027e6126af", "title": "Quality Based Frame Selection for Face Clustering in News Video", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6691517"]}, {"id": "46e05393f9b8169106b7c8e55ef2bd9f1931a362", "title": "Year : 2009 Perception and hierarchical dynamics", "year": "2010", "pdf": [], "doi": []}, {"id": "ff101205e1f71f6303073c04a5f23c2ad7cbeeb8", "title": "Face Detection for Human Identification in Surveillance", "year": "2014", "pdf": [], "doi": []}, {"id": "69c0ee6c2344ee7408b5095b00fe8b162b732325", "title": "Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909613"]}, {"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": "5bdfb28477ea9a8a1d4a28cba8675696e709555b", "title": "Learning Non-linear Reconstruction Models for Image Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909643"]}, {"id": "33daea82ae459324e42aa703b5e9809b5e4bf9af", "title": "Learning Deep Match Kernels for Image-Set Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100144"]}, {"id": "875b00be3e95382c930692efb20633ae7994c08e", "title": "Face Tracking and Recognition via Incremental Local Sparse Representation", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6643722"]}, {"id": "02203deb1aba9f54e12c2bf89c3b4096435164ad", "title": "Optimizing over Radial Kernels on Compact Manifolds", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909881"]}, {"id": "4ea53e76246afae94758c1528002808374b75cfa", "title": "A Review of Scholastic Examination and Models for Face Recognition and Retrieval in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4ea5/3e76246afae94758c1528002808374b75cfa.pdf"], "doi": []}, {"id": "36eb5ac678c49f29db681cbfab7576c0619b0df1", "title": "Human Motion Tracking using a Color-Based Particle Filter Driven by Optical Flow", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/e3c0/9607a14339f6e862ec74fbe6fdc83463ba63.pdf"], "doi": []}, {"id": "9a1dee546bdf48ab9028900ed034ae9d9da87c35", "title": "Multi-manifolds Discriminative Canonical Correlation Analysis for Image Set-Based Face Recognition", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s12559-016-9403-y"]}, {"id": "31a2fb63a3fc67da9932474cda078c9ac43f85c5", "title": "Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.0265.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": "8235f2f55ecfc80bd80cc1c2a1e8fe1e50bbec27", "title": "Computationally efficient application of the generic shape-illumination invariant to face recognition from video", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2011.07.002"]}, {"id": "a018e597608609018f3f11c4b8cda0cb2c6aff1e", "title": "Grassmann manifold for nearest points image set classification", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2015.09.008"]}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"], "doi": []}, {"id": "4e47663416e0b45fbcfb9d67304f30409a8ddfa9", "title": "Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers", "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=630C1561D647723F6FA360B5E4CBA559?doi=10.1.1.309.6901&rep=rep1&type=pdf", "http://iris.usc.edu/Outlines/papers/2008/yu-dinh-medioni-eccv08.pdf", "http://iris.usc.edu/Vision-Users/OldUsers/qianyu/ECCV2008.pdf", "http://iris.usc.edu/people/thangdin/files/Thang_ECCV08.pdf"], "doi": ["https://doi.org/10.1007/978-3-540-88688-4_50"]}, {"id": "5d8eba56d0c1db6873abff7966956bb44e652d71", "title": "International Journal of Application or Innovation in Engineering & Management ( IJAIEM ) Web", "year": "", "pdf": ["https://pdfs.semanticscholar.org/5d8e/ba56d0c1db6873abff7966956bb44e652d71.pdf"], "doi": []}, {"id": "536807e72623afe885abc82a6ad075a2e48f8c17", "title": "Optimizing feature selection in video-based recognition using Max-Min Ant System for the online video contextual advertisement user-oriented system", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.jocs.2016.10.016"]}, {"id": "b885b656f6a5523e8c5d0b6bd6ac5a60ad8057e2", "title": "Combination of sequential class distributions from multiple channels using Markov fusion networks", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s12193-014-0149-0"]}, {"id": "0b7e9fb57d91fa44aa5879c1024133c331ee8906", "title": "Lee Video-Based Face Recognition Based On State-Space Model", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0b7e/9fb57d91fa44aa5879c1024133c331ee8906.pdf"], "doi": []}]}
\ No newline at end of file