Video Computing Group
The Video Computing Group at the University of California, Riverside conducts research on the foundations and applications of computer vision, image processing, and statistical learning from images/videos.
Principal Investigator: Amit K. Roy-Chowdhury
Current projects are related to camera networks, event recognition and prediction, visual learning with limited supervision, resource-constrained visual analysis, integrated sensing and navigation, and bio-image analysis. The work provides the scientific underpinnings behind applications in cyber-physical, autonomous and intelligent systems. Members of the group regularly publish in top-tier conferences and journals in computer vision and image processing. Past members work in major research labs and hold faculty positions across the world.
The Video Computing Group is looking for highly motivated and talented graduate and undergraduate students. If interested, prospective graduate students should check here for ECE students and here for CSE students. Interested undergraduate students should directly email the PI. Post-doc positions will be announced when available.