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Salman Khan

I'm a computer vision researcher affiliated with MBZUAI and ANU.

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I am an Associate Professor at MBZUAI and a member of the Intelligent Visual Analytics Lab (IVAL). Previously, I was a Senior Scientist at Inception Institute of Artificial Intelligence during 2018-2020 and a Research Scientist in the Computer Vision Research Group (CVRG) at Data61, CSIRO (Commonwealth Scientific and Industrial Research Organization) from 2016-18. I am also an adjunct faculty member at College of Electrical & Computer Science (CECS), Australian National University (ANU) since 2016. I was research visitor at NICTA (National ICT Australia) in 2015 and served as a research affiliate with Australian Center for Robotic Vision (ACRV) during 2016-18.

I work on model generalization, learning from limited data (zero and few-shot learning), adversarial robustness of deep neural networks and continual life-long learning systems for computer vision problems. The above-mentioned tasks can help us realize intelligent autonomous systems that can better understand the real world for improved recognition, detection, segmentation, and detailed scene comprehension.

Positions Available!

I am looking for exceptional candidates for two tracks: a) Research engineers, and b) Research interns at MBZUAI. Research engineers must demonstrate strong development skills via past projects (background in GIS and remote sensing is a plus). Research interns must have good grades in their BS/MS programs (top 10% of their class) and should have a relevant background in computer vision/machine learning (demonstrated through relevant coursework and past projects). Prior publication record in CVPR/ECCV/ICCV/NeurIPS/ICLR/ICML is a plus. Please drop me an email with your CV and a link to your Github profile.


  • Serving as an AC for CVPR’24 and ECCV’24.
  • Seven papers accepted at ICCV’23! Congratulations to all team members.
  • Acting as an Area Chair for CVPR’23, ICML’23 and NeurIPS’23.
  • Nine papers accepted to CVPR’23! Congratulations to all students and collaborators.
  • Co-organizing workshops on “Vision Transformer: Theory and Applications” at ACCV’22 (5th Dec’22) and NeurIPS’22 (9th Dec’22).
  • Two papers accepted to NeurIPS’22! Congratulations to all students and collaborators.
  • Acting as an Area Chair for NeurIPS’22 and ACML’22.
  • Five papers accepted to ECCV 2022! [Jul’22]
  • Six papers accepted to CVPR 2022 (including 3 Orals)! Congratulations to all the students and collaborators. [Mar’22]
  • Our paper on improving adversarial transferability of ViTs accepted in ICLR’22 as a spotlight (rate 5%). Congratulations Muzammal and Kanchana!
  • Glad to share that my Ph.D. student, Dr. Shafin Rahman has been awarded the J.G. Crawford Prize for the best thesis at ANU (Science Category). Congratulations Shafin!
  • Organizing TPAMI Special Issue on “Transformers in Vision” (Deadline: 15 Dec 2021)
  • I will be serving as an Area Chair for CVPR’22.