Hi, I'm Akhtar

Postdoc. Research Associate (CV & ML)
MBZUAI, Abu Dhabi
United Arab Emirates

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its<dot>akhtar90<at>gmail<dot>com
akhtar<dot>munir<at>mbzuai<dot>ac<dot>ae

I am a Postdoctoral Fellow 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.

Publications (Selected)

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  Ashshak Sharifdeen, Muhammad Akhtar Munir, Sanoojan Baliah, Salman Khan, and Muhammad Haris Khan.

  "O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models". In CVPR (2025).

  [Paper] [Code]

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  Sagar Soni, Akshay Dudhane, Hiyam Debary, Mustansar Fiaz, Muhammad Akhtar Munir, Muhammad Sohail Danish, Paolo Fraccaro, Campbell D Watson, Levente J Klein, Fahad Shahbaz Khan, Salman Khan.

  "EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues". In CVPR (2025).

  [Paper] [Code]

• 

  Muhammad Akhtar Munir*, Muhamad Sohail Danish*, Syed Roshaan Ali Shah, Kartik Kuckreja, Fahad Shahbaz Khan, Paolo Fraccaro, Alexandre Lacoste, and Salman Khan.

  "GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks". In arXiv (2025). *Equally contributing first authors.

  [Paper] [Code]

• 

  Vishal Nedungadi, Muhammad Akhtar Munir, Marc Rußwurm, Ron Sarafian, Ioannis N. Athanasiadis, Yinon Rudich, Fahad Shahbaz Khan, and Salman Khan.

  AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment". In arXiv (2025).

  [Paper] [Code]

• 

  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]

Experience

Services & Honors

• Reviewer: CVPR 2023-2025, ICLR 2024-2025, ICCV 2023, NeurIPS 2023-2024, ACM MM 2021
• Awardee: NeurIPS 2022 & 2023 Scholar Award, CVPR 2023 DEI Award
• Scholarship: PhD Fellowship, from Information Technology University, Lahore, Pakistan
• Conferences (Attended): CVPR 2023, NeurIPS 2023, CVPR 2024, BMVC 2024

Curriculum Vitae (CV)

Download CV as PDF: Download CV