Muhammad Haris Khan

Assistant Professor of Computer Vision

Research interests

Khan’s research interests span active topics in computer vision, including face-related tasks, visual domain adaptation and generalization, and visual tracking. He is also interested in unsupervised learning for instance-level to dense prediction tasks to leverage vast amounts of unlabeled data and human-object interaction detection tasks for a deeper understanding of human behaviors.

Email

Prior to MBZUAI, Khan was a research scientist in the Inception Institute of Artificial Intelligence (IIAI), UAE. Before joining IIAI, he served as an assistant professor at Comsats University Islamabad (CUI), Pakistan for two years. Earlier, he was a postdoctoral fellow at the University of Nottingham (UoN), United Kingdom for 1.5 years.

Prior to starting his Ph.D., he also served as a lecturer for three years at CUI, Pakistan. He is a recipient of the International Research Excellence Scholarship for his doctoral study.

  • Ph.D. in computer vision from the University of Nottingham (UoN), United Kingdom.
  • Master’s in embedded digital systems from University of Sussex, United Kingdom.
  • Several publications in top-tier computer vision venues, including CVPR, ICCV, and NeurIPS - 2015-2022
  • Outstanding reviewer recognition in CVPR 2021
  • Best Workshop Paper Award 2013
  • Best Paper Award 2009
  • International Research Excellence Scholarship from University of Nottingham for three years Ph.D. study - 2011
  • Bronze medal for achieving 3rd position in Computer Engineering - 2006
  • Awarded Honorarium twice during employment - 2009-2010
  • Publication Muhammad Haris Khan

Khan has authored and co-authored several papers in top-ranked computer vision conferences. His overall peer-reviewed research has more than 2700 citations.

  • Muhammad Zaigham Zaheer, Arif Mehmood, Muhammad Haris Khan, Mattia Segu, Fisher Yu, Seung-Ik Lee, “Generative Cooperative Learning for Unsupervised Video Anomaly Detection”. Accepted at IEEE/CVF (CVPR) 2022.
  • Muhammad Saad Saeed, Muhammad Haris Khan, Shah Nawaz, Muhammad Haroon Yousaf, Alessio Del Bue, “Fusion and Orthogonal Projection for Improved Face-Voice Association”, Accepted at IEEE ICASSP 2022.
  • Muhammad Akhtar Munir, Muhammad Haris Khan, Muhammad Saquib Sarfraz, Mohsen Ali, “Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection”, Proc. NeurIPS 2021.
  • Muhammad Haris Khan, Talha Zaidi, Salman Khan, Fahad Shahbaz Khan, “Mode-Guided Feature Augmentation for Domain Generalization”, Proc. BMVC 2021.
  • Muhammad Haris Khan, John McDonagh, Salman Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, and Georgios Tzimiropoulos, “AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces”. Proc. IEEE/CVF (CVPR) 2020.
  • Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen, “Deep Contextual Attention for Human-Object Interaction Detection”, Proc. ICCV 2019.

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