Xiaojun Chang
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About
Dr. Xiaojun Chang is a Professor in the Australian Artificial Intelligence Institute (AAII) at UTS and a Visiting Professor at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). He directs the Recognition, Learning and Reasoning Lab (ReLER) where he focuses on video analysis and multimedia information retrieval. His research interests include video analysis, multi-modal foundation models, medical foundation models, and multi-agent reinforcement learning. He has secured over $3 million in research funding and has published over 200 peer-reviewed research papers.
Platform
Task
Features
• object detection
• video analysis
• segmentation
• multi-agent reinforcement learning
• medical foundation models
• event detection
• multi-modal foundation models
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