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.
Principal Investigator: Amit K. Roy-Chowdhury
Current projects are related to camera networks, tracking and pose estimation, event recognition and prediction, efficient learning and inference, multi-modal data analysis, adversarial attacks/defenses in vision systems, integrated sensing and navigation, distributed machine learning, and bio-image analysis. The work provides the scientific underpinnings behind applications in cyber-physical, autonomous and intelligent systems. Some of the application areas include environmental monitoring, agriculture, and biology/medicine. Members of the group regularly publish in top-tier conferences and journals in computer vision, machine learning, and image processing. Past members work in major research labs and hold faculty positions across the world.
Open Positions
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.
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Acknowledgements
The Video Computing Group gratefully acknowledges the support received from a number of government agencies and private corporations.
