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Antonio Torralba Computer sciences – Artificial Intelligence (expert systems - machine learning - robotics)

Antonio Torralba’s research interests span computer and human vision, computer graphics and machine learning. His work focuses on the problem of visual scene understanding. His particular areas of interest include object detection and scene recognition, the role of context in visual perception, image and video annotation, and applications of large image databases.

Awards

J. K. Aggarwal Prize from the International Association for Pattern Recognition, 2010.

Best Student Paper Award, IEEE Conference on Computer Vision and Pattern Recognition, 2009.

National Science Foundation Career Award, 2008.

Relevant Publications

B. Zhou et al, "Object Detectors Emerge in Deep Scene CNNs," ICLR 2015.

B. Zhou et al, "Learning Deep Features for Scene Recognition using Places Database," Advances in Neural Information Processing Systems 27 (NIPS), 2014.

A. Torralba and W. T. Freeman, "Accidental pinhole and pinspeck cameras. Revealing the scene outside the picture," International Journal of Computer Vision, 2014.

J. Xiao et al, "SUN Database: Exploring a Large Collection of Scene Categories," International Journal of Computer Vision, 2014.

J. Lim, "FPM: Fine pose Parts-based Model with 3D CAD models," ECCV 2014.

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Appointment

Associate Fellow Learning in Machines & Brains

Institution

Massachusetts Institute of TechnologyDepartment of Electrical Engineering and Computer Science

Education

PhD (Signal image and speech processing) Institut National Polytechnique de Grenoble

M.Sc. Institut National Polytechnique Grenoble

Country

United States

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