Chris Bregler

Chris Bregler

Chris Bregler is a Director / Principal Scientist at Google DeepMind. He received an Academy Award in the Science and Technology category for his work in visual effects. His other awards include the IEEE Longuet-Higgins Prize for "Fundamental Contributions in Computer Vision that Have Withstood the Test of Time," the Olympus Prize, and grants from the National Science Foundation, Packard Foundation, Electronic Arts, Microsoft, U.S. Navy, U.S. Airforce, and other agencies. Formerly a professor at New York University and Stanford University, he was named Stanford Joyce Faculty Fellow, Terman Fellow, and Sloan Research Fellow. In addition to working for several companies including Hewlett Packard, Interval, Disney Feature Animation, LucasFilm's ILM, and the New York Times, he was the executive producer of squid-ball.com, for which he built the world's largest real-time motion capture volume. He received his M.S. and Ph.D. in Computer Science from U.C. Berkeley. Full publications list at http://chris.bregler.com
Authored Publications
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    Google
Training-Free Neural Matte Extraction for Visual Effects
Sharif Elcott
JP Lewis
Nori Kanazawa
SIGGRAPH Asia Technical Communications (2022)
COSMOS: Catching out-of-Context Misinformation with Self-Supervised Learning
Shivangi Aneja
Matthias Niessner
https://arxiv.org/abs/2101.06278 (2021)
LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization
Avisek Lahiri
Christian Frueh
John Lewis
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2021) (to appear)