Decoding the Confidence Level of Subjects in Answering Multiple Choice Questions Using EEG Induced Capsule Network. - Shirsha Bose; Sayantani Ghosh; Amit Konar; Atulya K. Nagar (SSCI, 2021)

Decoding the Creative Ability of Subjects from Aesthetic Quality Assessment Using Dual Convolution Induced Capsule Network. - Sayantani Ghosh; Shirsha Bose; Ritesh Sur Chowdhury; Amit Konar; Atulya K. Nagar (SSCI, 2022)

Dense Dilated Deep Multiscale Supervised U-Network for biomedical image segmentation. - Shirsha Bose; Ritesh Sur Chowdhury; Rangan Das; Ujjwal Maulik (Comput. Biol. Medicine, 2022)

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 (CVPR Workshops, 2023)

GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning. - Ankit Jha; Shirsha Bose; Biplab Banerjee (WACV, 2023)

MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network. - Debabrata Pal; Shirsha Bose; Biplab Banerjee; Yogananda V. Jeppu (WACV, 2023)

MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation. - Shirsha Bose; Ritesh Sur Chowdhury; Debabrata Pal; Shivashish Bose; Biplab Banerjee; Subhasis Chaudhuri (CoRR, 2023)

Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images. - Debabrata Pal; Shirsha Bose; Biplab Banerjee; Yogananda V. Jeppu (IEEE Trans. Geosci. Remote. Sens., 2023)

Beyond Boundaries: A Novel Data-Augmentation Discourse for Open Domain Generalization. - Shirsha Bose; Ankit Jha; Hitesh Kandala; Biplab Banerjee (Trans. Mach. Learn. Res., 2023)

Dense Dilated Multi-Scale Supervised Attention-Guided Network for histopathology image segmentation. - Rangan Das; Shirsha Bose; Ritesh Sur Chowdhury; Ujjwal Maulik (Comput. Biol. Medicine, 2023)

MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta-learning. - Debabrata Pal; Shirsha Bose; Deeptej More; Ankit Jha; Biplab Banerjee; Yogananda V. Jeppu (Pattern Recognit. Lett., 2023)

Development of in silico models to guide the experimental characterisation of penile tissue and inform surgical treatment of erectile dysfunction. - Behrooz Fereidoonnezhad; M. Akbarzadeh Khorshidi; Shirsha Bose; Brian Watschke; E. Mareena; D. Nolan; S. Cooney; Caitríona Lally (Comput. Biol. Medicine, 2023)

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 (CVPR Workshops, 2024)

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 (CVPR, 2024)

SPDG-Net: Semantics Preserving Domain Augmentation through Style Interpolation for Multi-Source Domain Generalization. - Advait Kumar; Shirsha Bose; Mohamad Hassan N C; Biplab Banerjee (ICASSP, 2024)

StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. - Shirsha Bose; Ankit Jha; Enrico Fini; Mainak Singha; Elisa Ricci 001; Biplab Banerjee (WACV, 2024)

Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification. - Ritesh Sur Chowdhury; Shirsha Bose; Sayantani Ghosh; Amit Konar (Comput. Biol. Medicine, 2024)

Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes. - Poulami Sinhamahapatra; Franziska Schwaiger; Shirsha Bose; Huiyu Wang; Karsten Roscher; Stephan Günnemann (CoRR, 2024)

Zero-Shot Open-Vocabulary OOD Object Detection and Grounding using Vision Language Models. - Poulami Sinhamahapatra; Shirsha Bose; Karsten Roscher; Stephan Günnemann (NLDL, 2025)

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 Günnemann (WACV, 2025)

Meta-Learning to Teach Semantic Prompts for Open Domain Generalization in Vision-Language Models. - Shirsha Bose; Mainak Singha; Ankit Jha; Souradeep Mukhopadhyay; Biplab Banerjee (Trans. Mach. Learn. Res., 2025)