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ORCIDShirsha Bose
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2020 – today
- 2024
[j7]Ritesh Sur Chowdhury
, Shirsha Bose, Sayantani Ghosh, Amit Konar:
Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification. Comput. Biol. Medicine 183: 109260 (2024)- [c9]Sai Bhargav Rongali, Sarthak Mehrotra, Ankit Jha, Mohamad Hassan N C, Shirsha Bose, Tanisha Gupta, Mainak Singha, Biplab Banerjee:
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery. CVPR Workshops 2024: 2616-2626 - [c8]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: 13309-13319 - [c7]Advait Kumar, Shirsha Bose, Mohamad Hassan N C, Biplab Banerjee:
SPDG-Net: Semantics Preserving Domain Augmentation through Style Interpolation for Multi-Source Domain Generalization. ICASSP 2024: 7365-7369 - [c6]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: 5530-5540 - [i6]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. CoRR abs/2404.00710 (2024) - [i5]Sai Bhargav Rongali, Sarthak Mehrotra, Ankit Jha, Mohamad Hassan N C, Shirsha Bose, Tanisha Gupta, Mainak Singha, Biplab Banerjee:
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery. CoRR abs/2404.05366 (2024) - [i4]Poulami Sinhamahapatra, Franziska Schwaiger, Shirsha Bose, Huiyu Wang, Karsten Roscher, Stephan Günnemann:
Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes. CoRR abs/2404.07664 (2024) - 2023
- [j6]Rangan Das, Shirsha Bose, Ritesh Sur Chowdhury, Ujjwal Maulik:
Dense Dilated Multi-Scale Supervised Attention-Guided Network for histopathology image segmentation. Comput. Biol. Medicine 163: 107182 (2023) - [j5]Behrooz Fereidoonnezhad, M. Akbarzadeh Khorshidi, Shirsha Bose, Brian Watschke, E. Mareena, D. Nolan, S. Cooney, Caitríona Lally:
Development of in silico models to guide the experimental characterisation of penile tissue and inform surgical treatment of erectile dysfunction. Comput. Biol. Medicine 166: 107524 (2023) - [j4]Debabrata Pal, Shirsha Bose, Deeptej More, Ankit Jha, Biplab Banerjee, Yogananda V. Jeppu:
MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta-learning. Pattern Recognit. Lett. 173: 101-107 (2023) - [j3]Debabrata Pal, Shirsha Bose, Biplab Banerjee, Yogananda V. Jeppu:
Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j2]Shirsha Bose, Ankit Jha, Hitesh Kandala, Biplab Banerjee:
Beyond Boundaries: A Novel Data-Augmentation Discourse for Open Domain Generalization. Trans. Mach. Learn. Res. 2023 (2023) - [c5]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 Workshops 2023: 2024-2034 - [c4]Debabrata Pal, Shirsha Bose, Biplab Banerjee, Yogananda V. Jeppu:
MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network. WACV 2023: 6284-6293 - [c3]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: 6343-6352 - [i3]Shirsha Bose, Enrico Fini, Ankit Jha, Mainak Singha, Biplab Banerjee, Elisa Ricci:
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. CoRR abs/2302.09251 (2023) - [i2]Shirsha Bose, Ritesh Sur Chowdhury, Debabrata Pal, Shivashish Bose, Biplab Banerjee, Subhasis Chaudhuri:
MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation. CoRR abs/2302.09411 (2023) - [i1]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. CoRR abs/2304.05995 (2023) - 2022
- [j1]Shirsha Bose, Ritesh Sur Chowdhury, Rangan Das, Ujjwal Maulik:
Dense Dilated Deep Multiscale Supervised U-Network for biomedical image segmentation. Comput. Biol. Medicine 143: 105274 (2022) - [c2]Sayantani Ghosh, Shirsha Bose, Ritesh Sur Chowdhury, Amit Konar, Atulya K. Nagar:
Decoding the Creative Ability of Subjects from Aesthetic Quality Assessment Using Dual Convolution Induced Capsule Network. SSCI 2022: 1319-1326 - 2021
- [c1]Shirsha Bose, Sayantani Ghosh, Amit Konar, Atulya K. Nagar:
Decoding the Confidence Level of Subjects in Answering Multiple Choice Questions Using EEG Induced Capsule Network. SSCI 2021: 1-8
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