Shirsha Bose
Orcid: 0000-0003-4528-955X
According to our database1,
Shirsha Bose
authored at least 18 papers
between 2021 and 2024.
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Bibliography
2024
Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes.
CoRR, 2024
Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification.
Comput. Biol. Medicine, 2024
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
SPDG-Net: Semantics Preserving Domain Augmentation through Style Interpolation for Multi-Source Domain Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Development of <i>in silico</i> models to guide the experimental characterisation of penile tissue and inform surgical treatment of erectile dysfunction.
Comput. Biol. Medicine, November, 2023
MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta-learning.
Pattern Recognit. Lett., September, 2023
Dense Dilated Multi-Scale Supervised Attention-Guided Network for histopathology image segmentation.
Comput. Biol. Medicine, September, 2023
Beyond Boundaries: A Novel Data-Augmentation Discourse for Open Domain Generalization.
Trans. Mach. Learn. Res., 2023
Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2023
MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation.
CoRR, 2023
MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Dense Dilated Deep Multiscale Supervised U-Network for biomedical image segmentation.
Comput. Biol. Medicine, 2022
Decoding the Creative Ability of Subjects from Aesthetic Quality Assessment Using Dual Convolution Induced Capsule Network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
2021
Decoding the Confidence Level of Subjects in Answering Multiple Choice Questions Using EEG Induced Capsule Network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021