Lab Group
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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, event recognition and prediction, learning with limited supervision, resource-constrained data 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.

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.

Latest News

New DARPA Grant on Adversarial Machine Learning

A team of ECE and CSE faculty received a grant of ~$1 million from DARPA

Three papers accepted to ACM-Multimedia 2020

Papers on High-Frame Rate Video Enhancement, Adversarial Knowledge Transfer and Video Fast-Forwarding accepted to ACM-MM 2020

Three papers accepted to ECCV 2020

Three papers on different topics were accepted to ECCV 2020

Two papers accepted to CVPR 2020

Papers on Non-Adversarial Video Synthesis and Multi-source Adaptation using Hypothesis Transfer Learning accepted to CVPR 2020.

Paper on Subgoal Discovery accepted in NeurIPS 2019

Title: Learning from Trajectories via Subgoal Discovery

Acknowledgements

The Video Computing Group gratefully acknowledges the support received from a number of government agencies and private corporations.

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