Vision and Learning Group
The Vision and Learning Group (formerly Video Computing Group) at the University of California, Riverside conducts research on the foundations and applications of computer vision, image processing, and machine learning.
Principal Investigator: Amit K. Roy-Chowdhury
Current projects are related to visual analysis and understanding, efficient learning and inference, multi-modal data analysis, adversarial attacks/defenses, learning for planning and navigation, distributed machine learning, and applications in physical and biological sciences. 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 Vision and Learning 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 Vision and Learning Group gratefully acknowledges the support received from a number of government agencies and private corporations.
