Richard Szeliski
About Richard Szeliski
- Affiliations
- Google DeepMind, Distinguished Scientist
- University of Washington, Affiliate Professor
- Facebook, Director of Computational Photography
- Microsoft Research, Interactive Visual Media Group
- Location
- Bellevue, Washington, United States of America
- Website
- https://szeliski.org/
- Bio
Richard is currently a Distinguished Scientist at Google DeepMind and Affiliate Professor at the University of Washington. He was the founding Director of the Computational Photography group at Facebook, and led the Interactive Visual Media Group at Microsoft Research.
SIGGRAPH 1999
Richard Szeliski is a Senior Researcher in the Vision Technology Group at Microsoft Research, where he is pursuing research in 3-D computer vision, video scene analysis, and image-based rendering. His current focus is on constructing photorealistic 3-D scene models from multiple images and video, and on automatically parsing video for editing and retrieval applications. Dr. Szeliski has published over 60 research papers in computer vision, computer graphics, medical imaging, neural nets, and parallel numerical algorithms, as well as a book, Bayesian Modeling of Uncertainty in Low-Level Vision. He is a member of the Association of Computing Machinery, the Institute of Electrical and Electronics Engineers, and Sigma Xi. He served as co-organizer of the first Workshop on Image-Based Modeling and Rendering, and is currently an Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence.
SIGGRAPH 1998
Richard Szeliski is a Senior Researcher in the Vision Technology Group at Microsoft Research, where he is pursuing research in 3-D computer vision, video scene analysis, and image-based rendering. His current focus is on constructing photorealistic 3D scene models from multiple images and video, and on automatically parsing video for editing and retrieval applications. Dr. Szeliski received a B. Eng. degree in Honours Electrical Engineering from McGill University, Montreal, in 1979, a M. Appl. Sc. degree in Electrical Engineering from the University of British Columbia, Vancouver, in 1981, and a Ph. D. degree in Computer Science from Carnegie Mellon University, Pittsburgh, in 1988. He joined Microsoft Research in 1995. Prior to Microsoft, he worked at Bell-Northern Research, Montreal, at Schlumberger Palo Alto Research, Palo Alto, at the Artificial Intelligence Center of SRI International, Menlo Park, and at the Cambridge Research Lab of Digital Equipment Corporation, Cambridge. Dr. Szeliski has published over 60 research papers in computer vision, computer graphics, medical imaging, neural nets, and parallel numerical algorithms, as well as the book Bayesian Modeling of Uncertainty in Low-Level Vision. He is a member of the Association of Computing Machinery, the Institute of Electrical and Electronics Engineers, and Sigma Xi. He was an organizer of the first Workshop on Image-Based Modeling and Rendering, and is currently an Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence.
SIGGRAPH 1994
Richard Szeliski is currently a member of the research staff at the Cambridge Research Lab of Digital Equipment Corporation. In 1989, he was a Visiting Scientist at the Artificial Intelligence Center of SRI International, Menlo Park. In 1988, he was a Member of the Scientific Staff at Schlumberger Palo Alto Research. Palo Alto. From 1982 to 1983, he was a Member of the Scientific Staff at Bell-Northern Research, Montreal. His research interests include 3-D computer vision, geometric modeling, medical image registration, and parallel programming and algorithms.
- Awards and Recognition
- SIGGRAPH 2011 Computer Graphics Achievement Award: Szeliski
- ACM SIGGRAPH Academy Member, inducted in 2018
SIGGRAPH Conference Organizing Committee Positions
- Jury Member
- SIGGRAPH 1997: Technical Papers
Conference Contributions
- Experiences
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- Experience Collaborations
- Presentations
- Sessions Moderated
- “Synthetic depth-of-field with a single-camera mobile phone” by Wadhwa, Garg, Feldman, Kanazawa, Carroll, et al. …
- “Stereo magnification: learning view synthesis using multiplane images” by Flynn, Zhou, Tucker, Fyffe and Snavely
- “Gigapixel Panorama Video Loops” by He, Liao, Sander and Hoppe
- “An Omnistereoscopic Video Pipeline for Capture and Display of Real-World VR” by Schroers, Bazin and Sorkine-Hornung
- “Reconstruction of Personalized 3D Face Rigs From Monocular Video” by Wang, Shi, Xia and Chai
- “Realtime 3D eye gaze animation using a single RGB camera”
- “Lightweight eye capture using a parametric model”
- “AutoHair: fully automatic hair modeling from a single image”
- “Fusion4D: real-time performance capture of challenging scenes”
- “An anatomically-constrained local deformation model for monocular face capture”
Other Information
- Roles
- ACM SIGGRAPH Academy Member
- Awardee
- Course Presenter
- Emerging Technologies Collaborator
- Emerging Technologies Presenter
- Panel Presenter
- SIGGRAPH Technical Awards Committee Member
- Talk (Sketch) Presenter
- Technical Paper Moderator
- Technical Paper Presenter
- Technical Papers Jury Member
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