基本信息
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个人简介
Our research focuses on providing theoretical foundations and computational innovations in the study of computational and human vision. We take an integrated experimental and computational approach with theories and tools from computer vision, machine learning, visual cognition, computational neuroscience, and physics to develop quantitative models of biological and computational vision, to inspire interesting experimental design for psychophysical and neurophysiological study, to gain insights into visual and cognitive disorders, and to build intelligent visual systems that approach human performance.
研究兴趣
论文共 145 篇作者统计合作学者相似作者
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IEEE Transactions on Pattern Analysis and Machine Intelligenceno. 99 (2024): 1-17
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMSno. 99 (2024): 1-15
CVPR 2024 (2024)
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arxiv(2023)
Jordan D. Alexander,Samantha M. Freis,Stephanie M. Zellers,Robin Corley, Amy Ledbetter, Rachel K. Schneider,Chanda Phelan,Hariharan Subramonyam,Maia Frieser,Gianna Rea-Sandin, Michelle E. Stocker, Helen Vernier,
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NeurIPS (2023)
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arxiv(2023)
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CVPR 2023 (2023): 6736-6745
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D-Core
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