Mohsen Ali
Mohsen Ali
Associate Professor, Information Technology University (ITU) of the Punjab
Verified email at - Homepage
Cited by
Cited by
Virtual learning environment to predict withdrawal by leveraging deep learning
SU Hassan, H Waheed, NR Aljohani, M Ali, S Ventura, F Herrera
International Journal of Intelligent Systems, 2019
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
MN Subhani, M Ali
European Conference on Computer Vision (ECCV), 2020
Block and Group Regularized Sparse Modeling for Dictionary Learning
YT Chi, M Ali, A Rajwade, H Jeffrey
Computer Vision and Pattern Recognition (CVPR), 2013
Mlsl: Multi-level self-supervised learning for domain adaptation with spatially independent and semantically consistent labeling
J Iqbal, M Ali
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
Ssal: Synergizing between self-training and adversarial learning for domain adaptive object detection
MA Munir, MH Khan, M Sarfraz, M Ali
Advances in Neural Information Processing Systems 34, 22770-22782, 2021
EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
M Faisal, I Akhter, M Ali, R Hartley
The IEEE Winter Conference on Applications of Computer Vision, 1884-1893, 2020
Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery
J Iqbal, M Ali
ISPRS Journal of Photogrammetry and Remote Sensing 167, 263-275, 2020
A unique physics-inspired deep-learning-based platform introducing a generalized tool for rapid optical-response prediction and parametric-optimization for all-dielectric …
S Noureen, MQ Mehmood, M Ali, B Rehman, M Zubair, Y Massoud
Nanoscale 14 (44), 16436-16449, 2022
High-Level Concepts for Affective Understanding of Images
A Ali, U Shahid, M Ali, J Ho
IEEE Winter Conference on Applications of Computer Vision, 2017
Leveraging orientation for weakly supervised object detection with application to firearm localization
J Iqbal, MA Munir, A Mahmood, AR Ali, M Ali
Neurocomputing 440, 310-320, 2021
A dataset and benchmark for malaria life-cycle classification in thin blood smear images
QA Arshad, M Ali, S Hassan, C Chen, A Imran, G Rasul, W Sultani
Neural Computing and Applications 34 (6), 4473-4485, 2022
Deep built-structure counting in satellite imagery using attention based re-weighting
A Shakeel, W Sultani, M Ali
ISPRS journal of photogrammetry and remote sensing 151, 313-321, 2019
Detecting target text related to algorithmic efficiency in scholarly big data using recurrent convolutional neural network model
I Safder, J Sarfraz, SU Hassan, M Ali, S Tuarob
International conference on Asian digital libraries, 30-40, 2017
Deep learning based hybrid sequence modeling for optical response retrieval in metasurfaces for STPV applications
S Noureen, M Zubair, M Ali, MQ Mehmood
Optical Materials Express 11 (9), 3178-3193, 2021
Affine-Constrained Group Sparse Coding and Its Application to Image-Based Classification
YT Chi, M Ali, M Rushdi, J Ho
Computer Vision (ICCV), 2013 IEEE International Conference on, 681 - 688, 2013
Destruction from sky: Weakly supervised approach for destruction detection in satellite imagery
MU Ali, W Sultani, M Ali
ISPRS Journal of Photogrammetry and Remote Sensing 162, 115-124, 2020
CAxCNN: Towards the use of canonic sign digit based approximation for hardware-friendly convolutional neural networks
M Riaz, R Hafiz, SA Khaliq, M Faisal, HT Iqbal, M Ali, M Shafique
IEEE Access 8, 127014-127021, 2020
FogAdapt: Self-supervised domain adaptation for semantic segmentation of foggy images
J Iqbal, R Hafiz, M Ali
Neurocomputing 501, 844-856, 2022
Comparing background subtraction algorithms and method of car counting
GS Thakur, M Ali, P Hui, A Helmy
arXiv preprint arXiv:1202.0549, 2012
Towards improving calibration in object detection under domain shift
MA Munir, MH Khan, M Sarfraz, M Ali
Advances in Neural Information Processing Systems 35, 38706-38718, 2022
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