GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
Head, Faculty of AI and Decision-making, MIT EECS, MIT Schwarzman College of Computing
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.
- (2019). Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. International Journal of Computer Vision, 128:620–641.
- Seeing What a GAN Cannot Generate. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 4502-4511.
- Gaze360: Physically Unconstrained Gaze Estimation in the Wild. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 6912-6921.
- Self-supervised Moving Vehicle Tracking with Stereo Sound. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 7053-7062.
- November 8, 2019: MIT News, Visualizing an AI model’s blind spots.
- July 1, 2019: MIT News, Teaching artificial intelligence to create visuals with more common sense.
- January 10, 2019: MIT Technology Review, A neural network can learn to organize the world it sees into concepts—just like we do.
- August 30, 2018: Quanta magazine, The new science of seeing around corners.
Publications with the MIT-IBM Watson AI Lab