Publications

Journal Publications

  1. Shirsha Bose, Mainak Singha, Ankit Jha, Souradeep Mukhopadhyay, Biplab Banerjee, “Meta-Learning to Teach Semantic Prompts for Open Domain Generalization in Vision-Language Models,” Transactions on Machine Learning Research (TMLR), 2025.
  2. Alessia Boccalatte, Ankit Jha, Jocelyn Chanussot, “Leveraging Large-Scale Aerial Data for Accurate Urban Rooftop Solar Potential Estimation via Multitask Learning,” Journal of Solar Energy, Elsevier, 2024.
  3. Ankit Jha, Mainak Singha, Avigyan Bhattacharya, and Biplab Banerjee, “RS3Lip: Consistency for Remote Sensing Image Classification on Part Embeddings using Self-supervised Learning and CLIP,” Computer Vision and Image Understanding (CVIU), 2024.
  4. Ashwin Nair, Xingjian Li, Bhupendra Solanki, Souradeep Mukhopadhyay, Ankit Jha, Mostofa Rafid Uddin, Mainak Singha, Biplab Banerjee, Min Xu, “Towards molecular structure discovery from Cryo-ET density volumes via modeling auxiliary semantic prototypes,” Briefings in Bioinformatics (BIB), 2024.
  5. Shirsha Bose, Ankit Jha, and Biplab Banerjee, “Beyond Boundaries: A Novel Data-Augmentation Discourse for Open Domain Generalization,” Transactions on Machine Learning Research (TMLR), 2023.
  6. Ankit Jha, and Biplab Banerjee, “MDFS-Net: Multi-domain Few shot Classification for Hyperspectral Images With Support Set Reconstruction,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.
  7. Debabrata Pal, Shirsha Bose, Deeptej More, Ankit Jha, Biplab Banerjee and Yogananda Jeppu, “MAML-SR: Self-Adaptive Super-Resolution Networks via Multi-scale Optimized Attention-aware Meta-Learning,” Pattern Recognition Letters, Elsevier, 2023.

Conference Publications

  1. Mainak Singha, Tanisha Gupta, Ankit Jha, Muhammad Haris Khan, Sayantani Ghosh, Biplab Banerjee, “BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs,” Findings of the Association for Computational Linguistics (ACL), 2026.
  2. Prachet Dev Singh, Shyamsundar Paramasivam, Sneha Barman, Mainak Singha, Ankit Jha, Girish Mishra, Biplab Banerjee, “SDHSI-Net: Learning Better Representations for Hyperspectral Images via Self-Distillation,” IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2025.
  3. Aditya Chaudhary, Sneha Barman, Mainak Singha, Ankit Jha, Girish Mishra, Biplab Banerjee, “MMLGNet: Cross-Modal Alignment of Remote Sensing Data using CLIP,” IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2025.
  4. Mohit Jaiswal, Naman Jain, Shivani Pathak, Mainak Singha, Nikunja Bihari Kar, Ankit Jha, Biplab Banerjee, “Reconstruction Guided Few-shot Network For Remote Sensing Image Classification,” IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2025.
  5. Mainak Singha, Subhankar Roy, Sarthak Mehrotra, Ankit Jha, Moloud Abdar, Biplab Banerjee, Elisa Ricci, “FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models,” IEEE International Conference on Computer Vision (ICCV), 2025.
  6. Mohamad Hassan NC, Divyam Gupta, Mainak Singha, Sai Bhargav Rongali, Ankit Jha, Muhammad Haris Khan, Biplab Banerjee, “OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
  7. Ankit Jha, Biplab Banerjee, “In the Era of Prompt Learning with Vision Language Models,” Young Faculty Symposium, ICVGIP, 2024.
  8. Sai Bhargav Rangoli, Mohammad Hassan, Ankit Jha, Neha Bhargava, Saurabh Prasad, Biplab Banerjee, “Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering,” WACV, 2025.
  9. Bhupendra Solanki, Ashwin Nair, Mainak Singha, Souradeep Mukherjee, Ankit Jha, Biplab Banerjee, “GraphVL: Graph-Enhanced Semantic Modeling via Vision-Language Models for Generalized Class Discovery,” ICVGIP, 2024.
  10. Satish Bhoyar, Ankit Jha, “DistilBrakeLightNet: Knowledge Distilled Approach for Classification of Car Brake Light,” ICVTTS, 2024.
  11. Mohammad Hassan, Ankit Jha, Moloud Abdar, Biplab Banerjee, “Can Commonsense Knowledge Improve CLIP’s Performance in Cross-Domain VQA?,” ICVGIP, 2024.
  12. Munish Monga, Sachin Giroh, Ankit Jha, Mainak Singha, Biplab Banerjee, Jocelyn Chanussot, “COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation,” BMVC, 2024.
  13. Mainak Singha, Ankit Jha, Divyam Gupta, Pranav Singla, Biplab Banerjee, “Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning,” ECCV, 2024.
  14. Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin Nair, Moloud Abdar, Biplab Banerjee, “Unknown Prompt, the Only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization,” CVPR, 2024.
  15. Sai Bhargav Rangoli, Sarthak Mehrotra, Ankit Jha, Mohammad Hassan, Shirsha Bose, Tanisha Gupta, Mainak Singha, Biplab Banerjee, “CDAD-Net: Bridging Domain Gap in Generalized Category Discovery,” CVPR Workshop, 2024.
  16. Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee, “Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization,” WACV, 2024.
  17. Shirsha Bose, Ankit Jha, Enrico Fini, Mainak Singha, Elisa Ricci, Biplab Banerjee, “STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization,” WACV, 2024.
  18. Avigyan Bhattacharya, Mainak Singha, Ankit Jha, Biplab Banerjee, “C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing,” ACM ICVGIP, 2023.
  19. Mainak Singha, Ankit Jha, Biplab Banerjee, “GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning,” BMVC, 2023.
  20. Mainak Singha, Harsh Pal, Ankit Jha, Biplab Banerjee, “AD-CLIP: Adapting Domains in Prompt Space Using CLIP,” ICCV Workshop, 2023.
  21. Ankit Jha, Debabrata Pal, Naman Aggarwal, Biplab Banerjee, “HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues,” ECML-PKDD Workshop, 2023.
  22. Mainak Singha, Ankit Jha, Bhupendra Solanki, Shirsha Bose, Biplab Banerjee, “APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP,” CVPR Workshop, 2023.
  23. Ankit Jha, Shirsha Bose, Biplab Banerjee, “GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning,” WACV, 2023.
  24. Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri, “S3DMT-Net: Improving Soft Sharing-Based Multi-Task CNN Using Task-Specific Distillation and Cross-Task Interactions,” ACM ICVGIP, 2021.
  25. Ruchika Chavan, Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri, “ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer,” WACV, 2021.
  26. Ankit Jha, Awanish Kumar, Biplab Banerjee, Vinay Namboodiri, “SD-MTCNN: Self-Distilled Multi-Task CNN,” BMVC, 2020.
  27. Ankit Jha, Awanish Kumar, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri, “MT-UNET: A Novel U-Net-Based Multi-Task Architecture for Visual Scene Understanding,” ICIP, 2020.
  28. Ankit Jha, Awanish Kumar, Biplab Banerjee, Subhasis Chaudhuri, “AdaMT-Net: An Adaptive Weight Learning-Based Multi-Task Learning Model for Scene Understanding,” CVPR Workshop, 2020.

Book Chapters

  1. Ankit Jha, Biplab Banerjee, “Self-Distillation with the New Paradigm in Multi-Task Learning,” Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems, Springer International Publishing, pp. 169–192, 2023.
  2. Ankit Jha, Mainak Singh, Girish Mishra, Biplab Banerjee, “Synthesizing Audio-Visual Embeddings for Few-Shot Classification with Limited Modalities in Aerial Sensing,” Novel Sensing for Robotics and Drones: Smart Sensors, Measurement and Instrumentation, vol 54. Springer, Cham., pp. 159–169, 2026.
  3. Ankit Jha, Mainak Singh, Girish Mishra, Biplab Banerjee, “Enhancing Latent Space with Self and Cross-Attention in Multimodal Remote Sensing Image Classification,” Novel Sensing for Robotics and Drones: Smart Sensors, Measurement and Instrumentation, vol 54. Springer, Cham., pp. 233-251, 2026.