Vision Research Lab
UC Santa Barbara
Vision Research Lab
At the Vision Research Lab (VRL) at UC Santa Barbara, we conduct research in computer vision, artificial intelligence, and multimodal data science.
Our research develops intelligent methods and agentic frameworks for analyzing and integrating complex multimodal scientific data. Current applications span materials science, biology, ecology, healthcare, geospatial intelligence, and visual media. We also advance fundamental problems in image and video analysis, including segmentation, registration, tracking, multimodal retrieval, and scalable data management, with an emphasis on robust, trustworthy, and reproducible methods.
A central component of our work is the BisQue cyberinfrastructure, an open and scalable platform that accelerates the management, analysis, and discovery of multimodal and heterogeneous scientific data. BisQue integrates data, metadata, AI and computer vision tools, computational models, and reproducible workflows to support collaborative, data-driven science across disciplines.
Research Areas
Our lab advances research in computer vision, artificial intelligence, multimodal data science, and scientific cyberinfrastructure.
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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