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

Prediction and Description of Near- Future Activities in Video

Can you predict an activity that may occur in the near future and provide a natural language description of it? See our recent journal paper on this topic.

Oral presentations at CVPR and ICML 2021

Papers on unsupervised multi-source domain adaptation without source data at CVPR 2021, and on cross-domain imitation learning from observations at ICML 2021

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

Acknowledgements

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

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