Mohsen Ali

Associate Professor, Information Technology University, Intelligent Machines Lab //

Intelligent Machines Lab

mohsen.ali [AT] itu.edu.pk

Bio

I am Associate Professor at Information Technology University and co-founder of Intelligent Machines Lab. IML has been established with an objective to provide platform for researchers and engineers working in machine learning, computer vision and robotics to collaborate and solve real world problems. Mohsen’s current interest lies in theoretical and practical problems entailing Computer Vision and Machine Learning; and apply them in the field of video and image analysis, remote sensing, affective computing and human robot interaction. He works extensively in Deep Learning both extending theoretical foundations and applying to create practical solutions of real-world problems.

Grants / Awards
Google Logo Groogle Reseach Scholar Award, “Is Economics From Afar Domain Generalizable?” PI: Dr. Mohsen Ali, Co-PI: Dr. Izza Aftab
• AI for Earth innovation program by National Geographic & Microsoft, “AI4GLOF: AI for Glacial Lake Outburst Floods hazard potential assessment in Chitral, Pakistan” PI: Dr. Adnan Siddiqui, Co-PIs: Dr. Khurram Bhatti & Dr. Mohsen Ali
• Facebook AI, Computer Vision for Global Challenges research award , “Low-cost deep learning solution to real-time detection of malaria” PI: Dr. Waqas Sultani, Co-PI: Dr. Mohsen Ali
• Electronics and Telecommunications Research Institute, South Korea, “Feature Extraction & Matching for 3D Point Cloud Formation”, yearly renewed. PI: Dr. Rehan Hafiz, Co-PI: Dr. Mohsen Ali

Recent

Publications

Most recent publications on Google Scholar.
‡ indicates equal contribution.

  • Towards improving calibration in object detection under domain shift

    Muhammad Akhtar Munir, Muhammad Haris Khan, M Sarfraz, Mohsen Ali

    Advances in Neural Information Processing Systems (NeurIPS)

    [Paper] [Project Page] [Code] [Dataset]
  • Towards Low-Cost and Efficient Malaria Detection

    Waqas Sultani, Wajahat Nawaz, Syed Javed, Muhammad Sohail Danish, Asma Saadia, Mohsen Ali

    Computer Vision and Pattern Recognition (CVPR)

    [Paper] [Project Page] [Code] [Dataset]
  • SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection

    Muhammad Akhtar Munir, Muhammad Haris Khan, M Sarfraz, Mohsen Ali

    Advances in Neural Information Processing Systems (NeurIPS)

    [Paper] [Project Page] [Code] [Dataset]
  • Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization

    Javed Iqbal, Muhammad Akhtar Munir, Arif Mahmood, Afsheed Rafaqat Ali, and Mohsen Ali

    Neurocomputing, 2021

    [Paper] [Project Page] [Code] [Dataset]
  • Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation

    N. Subhani, Mohsen Ali

    European Conference on Computer Vision (ECCV), 2020.

    [Paper]
  • Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery

    Javed Iqbal, Mohsen Ali

    ISPRS Journal of Photogrammetry and Remote Sensing, 2020.

    [Paper] [Project Page] [Code] [Dataset]
  • MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling

    Javed Iqbal, Mohsen Ali

    The IEEE Winter Conference on Applications of Computer Vision, 2020.

    [Paper] [Project Page] [Code]
  • High-Level Concepts for Affective Understanding of Images

    Afsheed Rafaqat Ali, Usman Shahid, Mohsen Ali and Jeffrey Ho

    The IEEE Winter Conference on Applications of Computer Vision (WACV), 2017.

    [Paper] [Project Page]
  • Automatic Image Transformation for Inducing Affect

    Afsheed Rafaqat Ali and Mohsen Ali

    BMVC 2017.

    [Paper] [Project Page]
  • Towards improving calibration in object detection under domain shift

    Muhammad Akhtar Munir, Muhammad Haris Khan, M Sarfraz, Mohsen Ali

    Advances in Neural Information Processing Systems (NeurIPS)

    [Paper] [Project Page] [Code] [Dataset]
  • Towards Low-Cost and Efficient Malaria Detection

    Waqas Sultani, Wajahat Nawaz, Syed Javed, Muhammad Sohail Danish, Asma Saadia, Mohsen Ali

    Computer Vision and Pattern Recognition (CVPR)

    [Paper] [Project Page] [Code] [Dataset]
  • SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection

    Muhammad Akhtar Munir, Muhammad Haris Khan, M Sarfraz, Mohsen Ali

    Advances in Neural Information Processing Systems (NeurIPS)

    [Paper] [Project Page] [Code] [Dataset]
  • Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization

    Javed Iqbal, Muhammad Akhtar Munir, Arif Mahmood, Afsheed Rafaqat Ali, and Mohsen Ali

    Neurocomputing, 2021

    [Paper] [Project Page] [Code] [Dataset]
  • “Optimal school site selection in Urban areas using deep neural networks"

    “Nimra Zaheer, Saeed-Ul Hassan, Mohsen Ali, Mudassir Shabbir”

    “Journal of Ambient Intelligence and Humanized Computing, 2021”

    [Paper]
  • Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation

    N. Subhani, Mohsen Ali

    European Conference on Computer Vision (ECCV), 2020.

    [Paper]
  • Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery

    Javed Iqbal, Mohsen Ali

    ISPRS Journal of Photogrammetry and Remote Sensing, 2020.

    [Paper] [Project Page] [Code] [Dataset]
  • MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling

    Javed Iqbal, Mohsen Ali

    The IEEE Winter Conference on Applications of Computer Vision, 2020.

    [Paper] [Project Page] [Code]
  • Localizing Firearm Carriers By Identifying Human-Object Pairs

    Abdul Basit, Muhammad Akhtar Munir, Mohsen Ali, Naoufel Werghi, Arif Mahmood

    IEEE International Conference on Image Processing.

    [Paper] [Project Page]
  • High-Level Concepts for Affective Understanding of Images

    Afsheed Rafaqat Ali, Usman Shahid, Mohsen Ali and Jeffrey Ho

    The IEEE Winter Conference on Applications of Computer Vision (WACV), 2017.

    [Paper] [Project Page]
  • Automatic Image Transformation for Inducing Affect

    Afsheed Rafaqat Ali and Mohsen Ali

    BMVC 2017.

    [Paper] [Project Page]

Projects

Domain Adaptation
Self Supervised Learnign for the Semantic Segmentation
Affective Computing
Economics From Afar
Using Deep Learning to Detecting Slums and Understanding Poverty
Domain Adaptation
Self Supervised Learnign for the Semantic Segmentation
Affective Computing
Economics From Afar
Using Deep Learning to Detecting Slums and Understanding Poverty

Vitæ

Full Resume in PDF.

Website Design

This website has been modified (till now slightly) using GitHub repo. If you like mine version, please feel free to use it; and if you do, please link to here and drop me an email.
Mohsen Ali
mohsen.ali [AT] itu.edu.pk