| A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar, MB Shaikh, N Akhtar, J Wu, ... TechRxiv, 2023 | 412* | 2023 |
| Brain Tumor Synthetic Data Generation with Adaptive StyleGANs U Tariq, R Qureshi, A Zafar, D Aftab, J Wu, T Alam, Z Shah, H Ali Irish Conference on Artificial Intelligence and Cognitive Science, 147-159, 2022 | 13 | 2022 |
| Single Stage Adaptive Multi-Attention Network for Image Restoration A Zafar, D Aftab, R Qureshi, X Fan, P Chen, J Wu, H Ali, S Nawaz, S Khan, ... IEEE Transactions on Image Processing, 2024 | 6 | 2024 |
| Permutation-Aware Activity Segmentation via Unsupervised Frame-To-Segment Alignment QH Tran, A Mehmood, M Ahmed, M Naufil, A Zafar, A Konin, Z Zia Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 6* | 2024 |
| Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion SW Hyder, M Usama, A Zafar, M Naufil, A Konin, MZ Zia, QH Tran IEEE International Conference on Robotics and Automation (ICRA), 2024 | 1 | 2024 |
| Multi-Explainable TemporalNet: An Interpretable Multimodal Approach using Temporal Convolutional Network for User-level Depression Detection A Zafar, D Aftab, R Qureshi, Y Wang, H Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Supplementary Material: Permutation-Aware Activity Segmentation via Unsupervised Frame-to-Segment Alignment QH Tran, A Mehmood, M Ahmed, M Naufil, A Zafar, A Konin, MZ Zia | | |
Rizwan Qureshi, PhD, SMIEEECenter for Research in Computer Vision (CRCV), University of Central Florida, Orlando, USAEmail verificata su ucf.edu