• Intelligent Systems
• Large Scale Camera Networks
• Automatic Object Recognition
• Learning in Computer Vision and Pattern Recognition
• Medical and Biological Image Analysis
• Multimodal Biometrics
• Image and Video Databases
• Autonomous Navigation
• Network Monitoring and Intrusion Detection
• Remote Sensing

VisLab undertakes research in computer vision, pattern recognition, image processing, machine learning, artificial intelligence, multimedia databases, robotics, man/machine interfaces, computer graphics, and visualization. Current projects are in video networks, image database, biologically inspired computation, biological/medical imaging and perception-based navigation and control.

Call for Papers:

• IEEE Workshop on Biometrics CVPR 2022
• CVPR 2021 Biometrics Workshop, jointly with the Workshop on Analysis and Modeling of Faces and Gestures (B-AMFG)
• IEEE Workshop on Biometrics CVPR 2020, 2019, 2018, 2017
• Call for Book Chapters on Deep learning for Biometrics 2016
• Distributed Smart Sensing for Mobile Vision, IEEE Sensors Journal 2015
• WACV 2015: IEEE Winter Conference on Applications of Computer Vision

/ / Workshop on Distributed Video Sensor Networks

To New Post Doctoral Fellows

We are currently looking for Post Doctoral Fellows in several areas of Computer Vision and Pattern Recognition. Please send your resumes to Alex Shin (Dr. Bhanu's assistant): wshin@ece.ucr.edu. Thank you very much.

To New Graduate Students Regarding Admissions:

Professor Bhanu’s laboratory has openings for a couple of outstanding graduate students who have a strong background in computer vision and machine learning. Please send your bio to bhanu@ece.ucr.edu.