| 2025 | WACV | Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes. | Poulami Sinhamahapatra, Franziska Schwaiger, Shirsha Bose, Huiyu Wang, Karsten Roscher, Stephan Gnnemann |
| 2024 | CVPR | CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery. | Sai Bhargav Rongali, Sarthak Mehrotra, Ankit Jha, Mohamad Hassan N C, Shirsha Bose, Tanisha Gupta, Mainak Singha, Biplab Banerjee |
| 2024 | CVPR | Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization. | Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin R. Nair, Moloud Abdar, Biplab Banerjee |
| 2024 | ICASSP | SPDG-Net: Semantics Preserving Domain Augmentation through Style Interpolation for Multi-Source Domain Generalization. | Advait Kumar, Shirsha Bose, Mohamad Hassan N C, Biplab Banerjee |
| 2024 | WACV | StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. | Shirsha Bose, Ankit Jha, Enrico Fini, Mainak Singha, Elisa Ricci, Biplab Banerjee |
| 2023 | CVPR | APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP. | Mainak Singha, Ankit Jha, Bhupendra Solanki, Shirsha Bose, Biplab Banerjee |
| 2023 | WACV | GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning. | Ankit Jha, Shirsha Bose, Biplab Banerjee |
| 2023 | WACV | MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network. | Debabrata Pal, Shirsha Bose, Biplab Banerjee, Yogananda V. Jeppu |