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.

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.

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.

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.

Ankit Jha, and Biplab Banerjee, "MDFS-Net: Multi-domain Few shot Classification for Hyperspectral Images With Support Set Reconstruction", In IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.

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.

Ankit Jha, Biplab Banerjee, "In the Era of Prompt Learning with Vision Language Models", Young Faculty Symposium, ICVGIP, 2024.

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," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

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," ACM Indian Conference on Vision Graphics and Image Processing (ICVGIP), 2024.

Satish Bhoyar, Ankit Jha:"DistilBrakeLightNet: Knowledge Distilled Approach for Classification of Car Brake Light", International Conference on Vehicular Technology and Transportation Systems (ICVTTS), 2024.

Mohammad Hassan, Ankit Jha, Moloud Abdar, Biplab Banerjee: "Can Commonsense Knowledge Improve CLIP’s Performance in Cross-Domain VQA?," ACM Indian Conference on Vision Graphics and Image Processing  (ICVGIP), 2024.

Munish Monga, Sachin Giroh, Ankit Jha, Mainak Singha, Biplab Banerjee, Jocelyn Chanussot: "COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation," British Machine Vision Conference (BMVC), 2024.

Mainak Singha, Ankit Jha, Divyam Gupta, Pranav Singla, Biplab Banerjee: "Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning," European Conference on Computer Vision (ECCV), 2024.

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.

Sai Bhargava 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 on Learning with Limited Labeled Data, 2024.

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.

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.

Avigyan Bhattacharya, Mainak Singha, Ankit Jha, Biplab Banerjee: "C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing," ACM ICVGIP, 2023.

Mainak Singha, Ankit Jha, Biplab Banerjee: "GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning," BMVC, 2023.

Mainak Singha, Harsh Pal, Ankit Jha, Biplab Banerjee: "AD-CLIP: Adapting Domains in Prompt Space Using CLIP," ICCV Workshop (Out of Distribution Generalization), 2023.

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.

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," EarthVision, IEEE CVPR Workshops, 2023.

Ankit Jha, Shirsha Bose, Biplab Banerjee: "GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning," IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.

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.

Ruchika Chavan, Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri: "ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer," IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.

Ankit Jha, Awanish Kumar, Biplab Banerjee, Vinay Namboodiri: "SD-MTCNN: Self-Distilled Multi-Task CNN," British Machine Vision Conference (BMVC), 2020.

Ankit Jha, Awanish Kumar, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri: "MT-UNET: A Novel U-Net-Based Multi-Task Architecture for Visual Scene Understanding," IEEE International Conference on Image Processing (ICIP), 2020.

Ankit Jha, Awanish Kumar, Biplab Banerjee, Subhasis Chaudhuri: "AdaMT-Net: An Adaptive Weight Learning-Based Multi-Task Learning Model for Scene Understanding," IEEE CVPR Workshop (Efficient Deep Learning in Computer Vision), 2020.

Ankit Jha, Biplab Banerjee, "Self-Distillation with the New Paradigm in Multi-Task Learning", Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems, P169-192, Springer International Publishing, 2023.