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Antonio Torralba
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My research is in the areas of computer vision, machine learning and human visual perception. I am interested in building systems that can perceive the world like humans do. Although my work focuses on computer vision I am also interested in other modalities such as audition and touch. A system able to perceive the world through multiple senses might be able to learn without requiring massive curated datasets. Other interests include understanding neural networks, common-sense reasoning, computational photography, building image databases and the intersections between visual art and computation.
Papers282 papers
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international conference on machine learning, (2020)
Information Processing & Management, no. 5 (2020): 102261
Proceedings of the National Academy of Sciences of the United States of America, no. 48 (2020): 30071-30078
european conference on computer vision, pp.581-597, (2020)
european conference on computer vision, pp.331-350, (2020)
european conference on computer vision, pp.351-369, (2020)
International Journal of Computer Vision, no. 3 (2020): 620-641
european conference on computer vision, pp.758-775, (2020)
ICML, pp.1984-1994, (2020)
ICLR, (2020)
NeurIPS, (2020)
Rouditchenko Andrew, Boggust Angie,Harwath David,Joshi Dhiraj,Thomas Samuel,Audhkhasi Kartik, Feris Rogerio,Kingsbury Brian,Picheny Michael,Torralba Antonio,Glass James
ICML 2020, (2020)
AI MAGAZINE, no. 1 (2020): 70-81
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