| 2026 | ACL | BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs. | Mainak Singha, Tanisha Gupta, Ankit Jha, Muhammad Haris Khan, Sayantani Ghosh, Biplab Banerjee |
| 2026 | WACV | Vision-informed Semantic Text Alignment for Open-set Recognition in Remote Sensing. | Siddhant Gole, Akash Pal, Ankit Jha, Subhasis Chaudhuri, Biplab Banerjee |
| 2025 | CVPR | OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP. | Mohamad Hassan N C, Divyam Gupta, Mainak Singha, Sai Bhargav Rongali, Ankit Jha, Muhammad Haris Khan, Biplab Banerjee |
| 2025 | ICCV | FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models. | Mainak Singha, Subhankar Roy, Sarthak Mehrotra, Ankit Jha, Moloud Abdar, Biplab Banerjee, Elisa Ricci |
| 2025 | WACV | Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering. | Sai Bhargav Rongali, Mohamad Hassan N C, Ankit Jha, Neha Bhargava, Saurabh Prasad, Biplab Banerjee |
| 2024 | BMVC | COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation. | Munish Monga, Sachin Kumar Giroh, Ankit Jha, Mainak Singha, Biplab Banerjee, Jocelyn Chanussot |
| 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 | ECCV | Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning. | Mainak Singha, Ankit Jha, Divyam Gupta, Pranav Singla, Biplab Banerjee |
| 2024 | MODELS | Verifying UML Models Annotated with OCL Strings. | Ankit Jha, Rosemary Monahan, Hao Wu |
| 2024 | WACV | Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. | Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, 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 | BMVC | GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning. | Mainak Singha, Ankit Jha, 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 | ICST | Automatic Benchmark Generation for Object Constraint Language. | Ankit Jha |
| 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 |
| 2021 | WACV | ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer. | Ruchika Chavhan, Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri |
| 2020 | BMVC | SD-MTCNN: Self-Distilled Multi-Task CNN. | Ankit Jha, Awanish Kumar, Biplab Banerjee, Vinay P. Namboodiri |
| 2020 | CVPR | AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model For Scene Understanding. | Ankit Jha, Awanish Kumar, Biplab Banerjee, Subhasis Chaudhuri |
| 2020 | ICIP | MT-UNET: A Novel U-Net Based Multi-Task Architecture For Visual Scene Understanding. | Ankit Jha, Awanish Kumar, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri |