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"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": 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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": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", 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