Vision Research Lab
UC Santa Barbara
Vision Research Lab
At the Vision Research Lab (VRL) at UC Santa Barbara, we conduct research in various areas of computer vision, machine learning, and image processing.
Current research focus is on (a) integration of human and contextual information in analyzing images and video, leading to bio-inspired methods for computer vision; (b) large scale camera networks and associated "big-data" information processing tasks; and (c) bio-medical image informatics and brain connectomics. In addition, we continue the work on fundamental problems of segmentation, registration and tracking, and large scale image/video indexing and search, with emphasis on developing robust and scalable methods. .
Research Areas
Our lab specializes in several key areas of computer vision and machine learning research.
Complex Activity Detection
Developing algorithms to understand human activity in images and videos, including human-object interactions and complex multi-camera activities.
Learn more →Biomedical Image Analysis
Creating algorithms for analyzing medical and biological images to assist in diagnosis, treatment planning, and scientific research.
Learn more →Materials Science
Using AI to accelerate material discovery and generate synthetic material structures using physics-based machine learning.
Learn more →Wildlife Conservation
Leveraging computer vision to monitor and protect endangered species through automated census and behavior analysis.
Learn more →Geospatial Data Analysis
Building graph methods to better understand human movement patterns.
Learn more →Latest News
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