Publications & Preprints

Full publication list can be accessed from the Google Scholar.

2024

Townim Faisal Chowdhury, Kewen Liao, Minh Hieu Phan, Minh-Son To, Yutong Xie, Kevin Hung, David Ross, Anton van den Hengel, Johan W. Verjans, and Zhibin Liao, “CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation,” In IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024. (top 1% conference in computer vision and pattern recognition) [paper website, arxiv, code, video]
Townim Faisal Chowdhury, Kewen Liao, Minh Hieu Phan, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, and Zhibin Liao, “AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis,” In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 (top 5% medical imaging conference). [paper, arxiv]
Ahsanur Rahman, Kalyan Roy, Ramiza Maliha, and Townim Faisal Chowdhury, “A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques in Large Sparse Graphs,” In 30th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 (top 1% data mining conference). [paper]
Sahar Ahmadi, Ali Cheraghian, Townim Faisal Chowdhury, Morteza Saberi, and Shafin Rahman, “3D scene generation for zero-shot learning using ChatGPT guided language prompts,” In Computer Vision and Image Understanding (CVIU), 2024. [paper]

Fahimul Hoque Shubho, Townim Faisal Chowdhury, Ali Cheraghian, Morteza Saberi, Nabeel Mohammed, and Shafin Rahman, “ChatGPT-guided Semantics for Zero-shot Learning,” In International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2023. (ORAL). [arxiv]

Majid Nasiri, Ali Cheraghian, Townim Faisal Chowdhury, Sahar Ahmadi, Morteza Saberi, and Shafin Rahman, “Prompt-guided Scene Generation for 3D Zero-Shot Learning,” In International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2022. (ORAL). [arxiv]
Townim Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, and Shafin Rahman, “Few-shot Class-incremental Learning for 3D Point Cloud Objects,” In European Conference on Computer Vision (ECCV), 2022. (top 2% conference in computer vision and pattern recognition) [paper website, code, arxiv, presentation video, poster]
Md Hossain, Pritom Saha, Townim Chowdhury, Shafin Rahman, Fuad Rahman, and Nabeel Mohammed, “Rethinking Task-Incremental Learning Baselines,” In International Conference on Pattern Recognition (ICPR), 2022. [arxiv]
Ali Cheraghian, Shafin Rahman, Townim Chowdhury, Dylan Campbell, and Lars Petersson,, “Zero-shot learning on 3d point cloud objects and beyond,” In International Journal of Computer Vision (IJCV), 2022. [arxiv, paper]

Townim Chowdhury, Mahira Jalisha, Ali Cheraghian, and Shafin Rahman,, “Learning without Forgetting for 3D Point Cloud Objects,” published in Advances in Computational Intelligence, IWANN, Vol. 12861, pp. 484-497, Springer, 2021. [code, arxiv, presentation video, paper]
Juwel Rana, Townim Chowdhury, Shafin Rahman, John Oldroyd, and Rakibul Islam,, “Artificial Neural Network Models For Lipid Profile Prediction In The Us General Population,” published in Circulation, 2021.