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Rao Muhammad Anwer is Assistant Professor of Computer Vision at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). His research interests include visual object recognition, pedestrian detection and action recognition, efficient and robust deep learning models for comprehensive scene understanding, and human visual relationship detection. Current projects focus on integrated and detailed image understanding as well as learning visual recognition models with limited human supervision.
Prior to joining MBZUAI, Professor Anwer served as a research scientist at the Inception Institute of Artificial Intelligence (IIAI) in Abu Dhabi, United Arab Emirates. He previously held a postdoctoral research fellowship at Aalto University in Finland from 2014 to 2018. He earned a Ph.D. in Computer Vision from the Autonomous University of Barcelona in Spain and a Master’s degree in Intelligent Systems Design from Chalmers University of Technology in Sweden. Professor Anwer has organized a workshop titled Vision Transformers: Theory and Applications at ACCV 2022 and serves as a Program Committee Member for conferences including CVPR, ICCV, and ECCV. He is also co-PI for two external research projects with the Weizmann Institute of Science. He has authored or co-authored more than 45 academic publications and maintains an active research profile with contributions in top-tier venues such as CVPR, ICCV, and ECCV.
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