Shirsha Bose

Orcid: 0000-0003-4528-955X

According to our database1, Shirsha Bose authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

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

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

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


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