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"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": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "f500b1a7df00f67c417673e0538d86abb8a333fa", "title": "Facial Landmark Detection by Deep Multi-task Learning", "year": "2014", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepfacealign.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940094.pdf", "http://www.eecs.qmul.ac.uk/~ccloy/files/eccv_2014_deepfacealign.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-319-10599-4_7"], "doi": ["https://doi.org/10.1007/978-3-319-10599-4_7"]}, {"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": "cbba352a37426a21b020d1ba8f61e5bca9ca20ae", "title": "Fully convolutional networks for semantic segmentation", "year": "2015", "pdf": ["http://arxiv.org/pdf/1411.4038"], "doi": ["https://doi.org/10.1109/cvpr.2015.7298965", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298965"]}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": 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