Hi, I'm Akhtar
Research Associate (Computer Vision)
MBZUAI, Abu Dhabi
United Arab Emirates
akhtar<dot>munir<at>mbzuai<dot>ac<dot>ae
I am a Postdoctoral Research Associate in Computer Vision at MBZUAI in Abu Dhabi. My research spans areas like Domain Adaptation, Uncertainty Estimation, Model Calibration, and Vision-Language Models (VLMs). Currently, I am focused on tackling challenges in Model Calibration, enhancing the accuracy of Weather Modeling, and improving Remote Sensing analysis through VLMs.
Selected Publications
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Muhammad Akhtar Munir, Fahad Shahbaz Khan, and Salman Khan.
"Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region". In CCAI-NeurIPS (2024).
[Paper] [Code] -
Sohail Danish, Muhammad Haris Khan, Muhammad Akhtar Munir, Saquib Sarfraz, and Mohsen Ali.
"Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment". In CVPR (2024).
[Paper] [Code] -
Muhammad Akhtar Munir, Salman Khan, Muhammad Haris Khan, Mohsen Ali, and Fahad Shahbaz Khan.
"Cal-DETR: Calibrated Detection Transformer". In NeurIPS (2023).
[Paper] [Code] -
Muhammad Akhtar Munir, Muhammad Haris Khan, Muhammad Saquib Sarfraz, and Mohsen Ali.
"Domain Adaptive Object Detection via Balancing between Self-Training and Adversarial Learning". In IEEE TPAMI (2023).
[Paper] [Project Page] -
Muhammad Akhtar Munir, Muhammad Haris Khan, Salman Khan, and Fahad Shahbaz Khan.
"Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection". In CVPR (2023).
[Paper] [Code] -
Muhammad Akhtar Munir, Muhammad Haris Khan, Muhammad Saquib Sarfraz, and Mohsen Ali.
"Towards improving calibration in object detection under domain shift". In NeurIPS (2022).
[Paper] [Code] -
Muhammad Akhtar Munir, Muhammad Haris Khan, Muhammad Saquib Sarfraz, and Mohsen Ali.
"SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection". In NeurIPS (2021).
[Paper] [Project Page] -
Javed Iqbal, Muhammad Akhtar Munir, Arif Mahmood, Afsheen Rafaqat Ali, and Mohsen Ali.
"Leveraging orientation for weakly supervised object detection with application to firearm localization". In Neurocomputing (2021).
[Paper] [Code]
Experience
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Research Associate, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE
- Duration: July 2023 – Present
- Association: Computer Vision Department
- Advisors: Dr. Salman Khan, Dr. Fahad S Khan
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Research Intern, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE
- Duration: August 2022 – June 2023
- Association: Computer Vision Department
- Advisors: Dr. Salman Khan, Dr. Fahad S Khan
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Research Associate, Information Technology University (ITU), Lahore, Pakistan
- Duration: January 2022 – July 2022
- Association: Under Google Research Scholar Award, ITU
- PI: Dr. Mohsen Ali
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Fellowship, Information Technology University (ITU), Lahore, Pakistan
- Duration: September 2017 – August 2021
- Association: Intelligent Machines Lab, ITU
- Advisor: Dr. Mohsen Ali
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Lab Engineer, School of EE and CS (SEECS), NUST, Islamabad, Pakistan
- Duration: November 2013 – September 2017
- Association: Department of Computing, SEECS, NUST
Services & Honors
Reviewer: CVPR 2024, ICLR 2024, CVPR 2023, ICCV 2023, NeurIPS 2023, ACM MM 2021
Awardee: NeurIPS 2022 & 2023 Scholar Award, CVPR 2023 DEI Award
Scholarship: PhD Fellowship, from Information Technology University, Lahore, Pakistan
Summer School: EEML Summer School, Virtual Budapest, Hungary, 2021
Curriculum Vitae (CV)
Download CV as PDF: Download CV