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Visual Computing
April 28, 2011
This symposium will explore recent developments in computer vision, graphics, and imaging. It will bring together experts in industry and academia to discuss how data-driven visual learning is improving recognition and scene understanding, and how this helps us synthesize and interact with visual media.
Please RSVP by April 21 to abt@cs.brown.edu
Schedule
- 8:30 Breakfast and Registration
- 3rd Floor, CIT Building
- 9:00 Welcome
- 9:10 The Loop: People and Computer Vision
- Andy Gallagher, Kodak Research
- 9:50 Large Scale Learning of Face Manifolds (slides)
- Sanjiv Kumar, Google
- 10:30 Break
- 10:50 Photographing events over time (slides)
- Bill Freeman, MIT
- 11:30 LabelMe: online image annotation and applications (slides)
- Bryan Russell, University of Washington
- 12:10 Lunch
- 3rd Floor, CIT Building
- 1:30 RGB-D Perception: Depth Camera Usages beyond Gesture and Gaming
- Xiaofeng Ren, Intel Research
- 2:10 Perception for Robotics
- Caroline Pantofaru, Willow Garage
- 2:50 Break
- 3:10 Learning to Adjust Photographs (slides)
- Sylvain Paris, Adobe
- 3:50 Helping each other to see: Humans and machines
- Larry Zitnick, Microsoft
- 4:30 Discussion
- 5:00 Reception
