Rao Muhammad Anwer

Assistant Professor of Computer Vision

Research interests

Anwer’s research interests are in 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 he is working on include: (1) Toward integrated and detailed image understanding; and (2) Learning visual recognition models with limited human supervision.

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Prior to joining MBZUAI, Anwer was at Inception Institute of Artificial Intelligence (IIAI) in Abu Dhabi, United Arab Emirates working as a research scientist. Before joining IIAI, he was a postdoctoral research fellow with Aalto University, Finland from 2014 to 2018.

  • Ph.D. in computer vision from the Autonomous University of Barcelona, Spain.
  • Master’s degree in intelligent systems design from the Chalmers University of Technology, Sweden.
  • Workshop organizer at ACCV 2022. I am co-organizing a workshop titled " Vision Transformers: Theory and Applications" at ACCV 2022.
  • Program Committee Member for top-tier conferences like CVPR, ICCV, and ECCV. I am also serving as a co-PI for two external research project with Weizmann Institute of Science
  • Publication Rao Muhammad Anwer

Anwer has authored or co-authored more than 45 academic publications in the International Journal of Biological and Medical Sciences, the Proceedings of IEEE, and others, and has been cited more than 1500 times.

  • “Spatio-temporal Relation Modeling for Few-shot Action Recognition”: Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem, CVPR 2022.
  • “PSTR: End-to-End One-Step Person Search with Transformers”: Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Jin Xie, Mubarak Shah, Fahad Shahbaz Khan, CVPR 2022.
  • “Energy-based Latent Aligner for Incremental Learning”: Joseph K J, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N Balasubramanian, CVPR 2022.
  • “Handwriting Transformer”: Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah, ICCV 2021.
  • “Sipmask: Spatial information preservation for fast image video instance segmentation”: Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, ECCV 2020.
  • “Deep contextual attention for human-object interaction detections”: Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen, ICCV 2019.

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