Mohsen Ali
Associate Professor, Information Technology University, 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
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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
- Area Chair #NeurIPS2023
- Area Chair #CVPR2023
- Paper accepted in #NeurIPS2022
- Talk at AI-connect by Motive titled "Mapping Economic Wellbeing"
- Reviewer for ICCV 2023, CVPR 2022, ECCV 2022, CHI 2022
- Malaria detection work accepted at CVPR 2022
- Domain Adaptation work accepted at NeurIPS 2021
- Groogle Reseach Scholar Award 2021
- AI for Earth innovation program by National Geographic & Microsoft 2021, co-PI
- Outstanding Reviewer for CVPR 2021
- Second PhD student clears proposal stage [Dec 2020]
- Work on exploiting scale invariance in the source domain, to regulate adaptation accepted at #ECCV2020.We believe it was 1st time work completely done in Pakistan was accepted in this venue. [2020]
- Presented in Change Seminar, University of Washington [2020]
Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
- Towards improving calibration in object detection under domain shift
Advances in Neural Information Processing Systems (NeurIPS)
[Paper] [Project Page] [Code] [Dataset] - Towards Low-Cost and Efficient Malaria Detection
Computer Vision and Pattern Recognition (CVPR)
[Paper] [Project Page] [Code] [Dataset] - SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Advances in Neural Information Processing Systems (NeurIPS)
[Paper] [Project Page] [Code] [Dataset] - Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization
Neurocomputing, 2021
[Paper] [Project Page] [Code] [Dataset] - Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
European Conference on Computer Vision (ECCV), 2020.
[Paper] - Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery
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
The IEEE Winter Conference on Applications of Computer Vision, 2020.
[Paper] [Project Page] [Code] - High-Level Concepts for Affective Understanding of Images
The IEEE Winter Conference on Applications of Computer Vision (WACV), 2017.
[Paper] [Project Page] - Automatic Image Transformation for Inducing Affect
BMVC 2017.
[Paper] [Project Page]
- Towards improving calibration in object detection under domain shift
Advances in Neural Information Processing Systems (NeurIPS)
[Paper] [Project Page] [Code] [Dataset] - Towards Low-Cost and Efficient Malaria Detection
Computer Vision and Pattern Recognition (CVPR)
[Paper] [Project Page] [Code] [Dataset] - SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Advances in Neural Information Processing Systems (NeurIPS)
[Paper] [Project Page] [Code] [Dataset] - Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization
Neurocomputing, 2021
[Paper] [Project Page] [Code] [Dataset] - “Optimal school site selection in Urban areas using deep neural networks"
“Journal of Ambient Intelligence and Humanized Computing, 2021”
[Paper] - Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
European Conference on Computer Vision (ECCV), 2020.
[Paper] - Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery
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
The IEEE Winter Conference on Applications of Computer Vision, 2020.
[Paper] [Project Page] [Code] - Localizing Firearm Carriers By Identifying Human-Object Pairs
IEEE International Conference on Image Processing.
[Paper] [Project Page] - High-Level Concepts for Affective Understanding of Images
The IEEE Winter Conference on Applications of Computer Vision (WACV), 2017.
[Paper] [Project Page] - Automatic Image Transformation for Inducing Affect
BMVC 2017.
[Paper] [Project Page]
Projects
Self Supervised Learnign for the Semantic Segmentation
Using Deep Learning to Detecting Slums and Understanding Poverty
Self Supervised Learnign for the Semantic Segmentation
Using Deep Learning to Detecting Slums and Understanding Poverty
Vitæ
Full Resume in PDF.
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CVPR 2024Area Chair
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ICLR 2024Area Chair
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NeurIPS 2023Area Chair
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CVPR 2023Area Chair
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Information Technology University 2022Assocaite Professor - secured Tenure
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Google Research Scholar Award 2021Economics From Afar
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Information Technology University 2014 - nowAssistant Professor
Intelligent Machines Lab -
University of Florida 2007-2014PhD. student
CISE: Department of Computer and Information Science and Engineering
Fulbright Scholarship -
Fulbright Scholar 2007-2014PhD. student
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LUMS 2003 - 2006M.Sc. Student
Department of Computer Sicence
Dean’s Honor List -
Punjab University 2000 - 2002M.Sc. Student
Punjab University College of Information Technology
Gold Medalist
Merit Scholarship -
Punjab University 1999 - 2000P.G.D Student
Department of Comptuer Sicence
First Position in Examination -
Forman Christian College 1997 - 1999F.Sc. Student
Punjab University