| 2025 | CVPR | Get a GRIP on Test Time Adaptation! - Group Robust Inference-Time Policy Optimization for Vision Models. | Prabhav Sanga, Jaskaran Singh, Tapabrata Chakraborti |
| 2025 | MICCAI | Ambiguous Medical Image Segmentation Using Diffusion Schrdinger Bridge. | Lalith Bharadwaj Baru, Kamalaker Dadi, Tapabrata Chakraborti, Raju S. Bapi |
| 2024 | ICONIP | Conformal Adversarial Generative Ensemble. | Ahmad Shahi, Mamehgol Yousefi, Brendon J. Woodford, Farhaan Mirza, Tapabrata Chakraborti |
| 2024 | ICPR | A Fast Domain-Inspired Unsupervised Method to Compute COVID-19 Severity Scores from Lung CT. | Samiran Dey, Bijon Kundu, Partha Basuchowdhuri, Sanjoy Kumar Saha, Tapabrata Chakraborti |
| 2024 | IVCNZ | Investigating Feature Clustering for Generalised 3D Point Cloud Part Segmentation. | Nirmal Das, Steven Mills, Lech Szymanski, Xinyu Jiang, Tapabrata Chakraborti |
| 2024 | MICCAI | Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias. | Faizanuddin Ansari, Tapabrata Chakraborti, Swagatam Das |
| 2024 | MICCAI | SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS). | Zhihang Ren, Yunqi Li, Xinyu Li, Xinrong Xie, Erik P. Duhaime, Kathy Fang, Tapabrata Chakraborti, Yunhui Guo, Stella X. Yu, David Whitney |
| 2022 | MICCAI | Active Data Enrichment by Learning What to Annotate in Digital Pathology. | George Batchkala, Tapabrata Chakraborti, Mark McCole, Fergus Gleeson, Jens Rittscher |
| 2021 | MICCAI | Contrastive Representations for Continual Learning of Fine-Grained Histology Images. | Tapabrata Chakraborti, Fergus Gleeson, Jens Rittscher |
| 2020 | ACCV | Learn More, Forget Less: Cues from Human Brain. | Arijit Patra, Tapabrata Chakraborti |
| 2020 | IVCNZ | CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification. | Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal |
| 2020 | IVCNZ | PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification. | Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal |
| 2020 | KI | A Comparative Study of Explainer Modules Applied to Automated Skin Lesion Classification. | Jia Sun, Tapabrata Chakraborti, J. Alison Noble |
| 2020 | MICCAI | Microscopic Fine-Grained Instance Classification Through Deep Attention. | Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher |
| 2018 | IVCNZ | Fine-grained Collaborative K-Means Clustering. | Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal |
| 2017 | BMVC | A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC). | Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal |
| 2016 | ICPR | A scale and rotation invariant scheme for multi-oriented Character Recognition. | Nilamadhaba Tripathy, Tapabrata Chakraborti, Mita Nasipuri, Umapada Pal |
| 2016 | IVCNZ | Collaborative representation based fine-grained species recognition. | Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal |