Computer Vision Research

Computer Vision Research

Researchers working in the field of computer vision develop algorithms which automatically analyze visual data to extract useful knowledge. MBZUAI researchers work across multiple sub-areas of computer vision, including but not limited to facial and object recognition, object detection, counting and segmentation, image and video captioning, bio-metric security, medical imaging, image colorization and enhancement, object tracking, action recognition and video understanding.

Computer vision has important applications in augmented and virtual reality, autonomous cars, service robots, bio-metrics and forensics, remote sensing and smart cities.

The university offers Ph.D. and master's degrees in computer vision with advanced courses and outcomes.

Chair's message

The Computer Vision (CV) Department is comprised of expert faculty and researchers that have been leading their field for decades. Though MBZUAI is new, it has amassed a truly talented team of faculty, researchers, and world-class students that mark MBZUAI as a rising star in CV innovation and research. It is my great pleasure and honor to be part of such a dynamic institution, undertaking such momentous research.

Computer vision algorithms and technologies are rapidly impacting all aspects of our society from security to governance. It will be my goal to balance education with research opportunities. We will interact with industrial partners to identify problems and create solutions.

department-chair

Ian Reid

Department Chair of Computer Vision, and Professor of Computer Vision

“

Computer vision algorithms and technologies are rapidly impacting all aspects of our society from security to governance.

The mission of the CV Department is to develop and maintain high quality graduate programs in CV and conduct research that yields tangible projects and patents that we can introduce to the market. CV will continue to be at the forefront of security, surveillance, and autonomous vehicle technologies, and we will lead that wave of innovation. You will find the faculty are eager to interact with the next generation of tech leaders and foster synergy.

Ian Reid

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Faculty members

Ian Reid

Department Chair of Computer Vision, and Professor of Computer Vision

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Fahad Khan

Deputy Department Chair of Computer Vision, and Professor of Computer Vision

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Hao Li

Associate Professor of Computer Vision, and Director of MBZUAI Metaverse Center

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Abdulmotaleb El Saddik

Professor of Computer Vision

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Salman Khan

Associate Professor of Computer Vision

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Karthik Nandakumar

Associate Professor of Computer Vision

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Mohammad Yaqub

Associate Professor of Computer Vision

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Rao Muhammad Anwer

Assistant Professor of Computer Vision

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Hisham Cholakkal

Assistant Professor of Computer Vision

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Muhammad Haris Khan

Assistant Professor of Computer Vision

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Xiaojun Chang

Visiting Professor of Computer Vision

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Ivan Laptev

Visiting Professor of Computer Vision

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Xiaodan Liang

Visiting Associate Professor of Computer Vision

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Shahrukh Hashmi

Adjunct Associate Professor of Computer Vision

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Shijian Lu

Adjunct Associate Professor of Computer Vision

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Min Xu

Affiliated Associate Professor of Computer Vision

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Projects

Research centers

Center for Integrative Artificial Intelligence (CIAI)

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Study

Master of Science
in Computer Vision

Doctor of Philosophy
in Computer Vision