About

Antonio Torralba

Head, Faculty of AI and Decision-making, MIT EECS, MIT Schwarzman College of Computing

Department Website Research Publications Linkedin

Who they work with

Categories

Computer Vision Deep Learning Explainability Generative Models Machine Learning Multimodal Learning Unsupervised Learning

Antonio Torralba is the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science at MIT and an investigator at the Computer Science and Artificial Intelligence Laboratory. He also heads the faculty of artificial intelligence and decision-making in the MIT Schwarzman College of Computing. Previously, he led the MIT Quest for Intelligence as its inaugural director, and was the MIT director of the MIT–IBM Watson AI Lab. Torralba researches computer vision, machine learning, and human visual perception, with an interest in building systems that can perceive the world the way humans do. He has received an NSF Career award, the International Association for Pattern Recognition’s JK Aggarwal Prize, a Frank Quick Faculty Research Innovation Fellowship and a Louis D. Smullin (’39) Award for Teaching Excellence. Torralba earned a BS from Telecom BCN, Spain, and a PhD from the Institut National Polytechnique de Grenoble, France.

Publications

Harwath, D., Recasens, A., Surís, D., Chuang, G., Torralba, A., Glass, J. (2019). Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. International Journal of Computer Vision, 128:620–641.
Bau, D., Zhu, J.Y., Wulff, J., Peebles, W., Strobelt, H., Zhou, B., Torralba, A. (2019). Seeing What a GAN Cannot Generate. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 4502-4511.
Kellnhofer, P., Recasens, A., Stent, S., Matusik, W., Torralba, A. (2019). Gaze360: Physically Unconstrained Gaze Estimation in the Wild. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 6912-6921.
Gan, C., Zhao, H., Chen, P., Cox, D., Torralba, A. (2019). Self-supervised Moving Vehicle Tracking with Stereo Sound. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 7053-7062.