1 citations · 1 across the 10 of their papers we have counts for
10 papers
d-Sketch: Improving Visual Fidelity of Sketch-to-Image Translation with Pretrained Latent Diffusion Models without Retraining
Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +2
Structural guidance in an image-to-image translation allows intricate control over the shapes of synthesized images. Generating high-quality realistic images from user-specified ro…
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images
Siladittya Manna, Saumik Bhattacharya, Umapada Pal
Medical image segmentation is one of the domains where sufficient annotated data is not available. This necessitates the application of low-data frameworks like few-shot learning.…
Simba: Mamba augmented U-ShiftGCN for Skeletal Action Recognition in Videos
Soumyabrata Chaudhuri, Saumik Bhattacharya
Skeleton Action Recognition (SAR) involves identifying human actions using skeletal joint coordinates and their interconnections. While plain Transformers have been attempted for t…
LATIS: Lambda Abstraction-based Thermal Image Super-resolution
Gargi Panda, Soumitra Kundu, Saumik Bhattacharya +1
Single image super-resolution (SISR) is an effective technique to improve the quality of low-resolution thermal images. Recently, transformer-based methods have achieved significan…
Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance
Alloy Das, Sanket Biswas, Ayan Banerjee +3
The adaptation capability to a wide range of domains is crucial for scene text spotting models when deployed to real-world conditions. However, existing state-of-the-art (SOTA) app…
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization
Vaibhav Khamankar, Sutanu Bera, Saumik Bhattacharya +2
Histopathological images are essential for medical diagnosis and treatment planning, but interpreting them accurately using machine learning can be challenging due to variations in…