Fahad Khan

Prior to joining MBZUAI, Professor Khan was a lead scientist at the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates. From 2012 to 2014, Khan was a postdoctoral fellow and then a research fellow (2014-2018) at Computer Vision Laboratory, Linköping University, Sweden. In 2018, he was awarded the Docent title in computer vision from Linköping University, Sweden.

Professor Khan has achieved top ranks on various international challenges (Visual Object Tracking VOT: 1st 2014 and 2018, 2nd 2015, 1st 2016; VOT-TIR: 1st 2015 and 2016; OpenCV Tracking: 1st 2015; 1st PASCAL VOC Segmentation and Action Recognition tasks 2010).

He received the best paper award in the computer vision track at IEEE ICPR 2016.

• Ph.D. in computer vision from the Autonomous University of Barcelona, Spain.
• Master’s in intelligent systems design from Chalmers University of Technology, Sweden.
• Master’s in artificial intelligence and computer vision from the Autonomous University of Barcelona, Spain.

• Prestigious Swedish Research Council grant (acceptance rate of 15%) in 2016.
• Docent title (in Sweden, Docent is often translated as Associate Professor) in computer vision from Linkoping University, Sweden in 2018.
• Top ranks on various international challenges (Visual Object Tracking VOT: 1^st 2014, 2016 and 2018 and 2^nd in 2015; VOT-TIR: 1^st 2015 and 2016; OpenCV Tracking: 1^st 2015; 1^st PASCAL VOC Segmentation and Action Recognition tasks 2010).
• Best paper award in the computer vision track at IEEE ICPR 2016.
• Serves as a regular program committee member for leading computer vision and artificial intelligence conferences such as IEEE CVPR, ICCV, and ECCV.

Khan has published more than 100 reviewed conference papers, journal articles, and book contributions, with more than 20,000 citations according to Google Scholar.

• A. Gupta, S. Narayan, K. J. Joseph, S. Khan, FS. Khan, M. Shah. OW-DETR: Open-world Detection Transformer. CVPR 2022.
• N. Ristea, R. Ionescu, K. Nasrollahi, FS. Khan, T. Moeslund, M. Shah. Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. CVPR 2022.
• K. J. Joseph, S. Khan, FS Khan, V. Balasubramanian. Towards Open World Object Detection. CVPR 2021.
• M. Danelljan, G. Bhat, FS. Khan, M. Felsberg. ATOM: Accurate Tracking by Overlap Maximization. CVPR 2019.
• Acsintoae, A. Florescu, M. Georgescu, T. Mare, P. Sumedrea, R. Ionescu, FS Khan, M. Shah: UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. CVPR 2022.
• T. Wang, T. Yang, M. Danelljan, FS. Khan, X. Zhang, J. Sun. Learning Human-Object Interaction Detection Using Interaction Points. CVPR 2020.