Computer Vision and Machine Learning especially in the problems related to sparse representation and multi-image cosegmentation.
Mohsen Ali received his doctoral degree from the Department of Computer and Information Science and Engineering, University of Florida in 2014. Previously he received his MSc and MS in Computer Science degrees from Punjab University College of Information Technology and Lahore University of Management Sciences respectively. His research interests lie in the areas of Computer Vision and Machine Learning, specifically Sparse Representation and multi-image co-segmentation. He is a Fulbright Scholar.
Affine-Constrained Group Sparse Coding and Its Application to Image-Based Classification
Mohsen Ali, Yu-Tseh Chi, Muhammad Rushdi, and Jeffrey Ho
Proceedings of IEEE International Conference on Computer Vision (ICCV 2013)
Block and Group Regularized Sparse Modeling for Dictionary Learning
Yu-Tseh Chi, Mohsen Ali, Ajit Rajwade, and Jeffrey Ho
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013)
Color De-Rendering using Coupled Dictionary Learning
Muhammad Rushdi, Mohsen Ali, Jeffrey Ho
20th IEEE International Conference on Image Processing (ICIP) 2013