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David J. Crandall
Associate Professor
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I work in computer vision, the area of computer science concerned with automatically inferring semantic meaning from images -- teaching computers to "see." More generally, I am interested in problems that involve analyzing and modeling large amounts of uncertain data, like mining data from social networking websites.
Papers146 papers
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ACM Trans. Comput. Hum. Interact., no. 4 (2020)
BMVC, (2020)
IEEE transactions on pattern analysis and machine intelligence, (2020): 1-1
Cognition, (2020): 104243
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp.3399-3408, (2020)
Journal of Hardware and Systems Security, no. 1 (2020): 44-54
CVPR Workshops, pp.3961-3955, (2020)
european conference on computer vision, pp.229-247, (2020)
CogSci, (2020)
CVPR, pp.6607-6616, (2020)
arXiv: Computer Vision and Pattern Recognition, (2019): 273-280
Past & Present, (2019)
international conference on robotics and automation, (2019)
Advances in Parallel Computing, (2019): 34-81
ICCV, pp.5531-5540, (2019)
international conference on computer vision, pp.2040-2050, (2019)
Cited by4EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 14702-14713
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