4 citations · 6 across the 10 of their papers we have counts for
11 papers
VSANet: View-aware Sparse Attention Network for Light Field Image Denoising
Gargi Panda, Soumitra Kundu, Saumik Bhattacharya +1
Light field (LF) image denoising is challenging due to the high-dimensional structure of LF data. While noise is independent across sub-aperture images, scene content exhibits stro…
Escape from Delusional Echo Trap: Symmetry Breaking, Stochastic Dynamics and Mathematical Mitigation Strategies for Algorithmic Sycophancy
Sayantari Ghosh, Saumik Bhattacharya, Partha Pratim Chakrabarti
We propose a rigorous and systematic mathematical framework for tracking the cognitive trajectories of a user, in the context of algorithmic sycophancy and AI-driven delusional spi…
SAGE-GAN: Towards Realistic and Robust Segmentation of Spatially Ordered Nanoparticles via Attention-Guided GANs
Anindya Pal, Varun Ajith, Saumik Bhattacharya +1
Precise analysis of nanoparticles for characterization in electron microscopy images is essential for advancing nanomaterial development. Yet it remains challenging due to the time…
Hyperspectral Unmixing with 3D Convolutional Sparse Coding and Projected Simplex Volume Maximization
Gargi Panda, Soumitra Kundu, Saumik Bhattacharya +1
Hyperspectral unmixing (HSU) aims to separate each pixel into its constituent endmembers and estimate their corresponding abundance fractions. This work presents an algorithm-unrol…
LifWavNet: Lifting Wavelet-based Network for Non-contact ECG Reconstruction from Radar
Soumitra Kundu, Gargi Panda, Saumik Bhattacharya +2
Non-contact electrocardiogram (ECG) reconstruction from radar signals offers a promising approach for unobtrusive cardiac monitoring. We present LifWavNet, a lifting wavelet networ…
SSNet: Saliency Prior and State Space Model-based Network for Salient Object Detection in RGB-D Images
Gargi Panda, Soumitra Kundu, Saumik Bhattacharya +1
Salient object detection (SOD) in RGB-D images is an essential task in computer vision, enabling applications in scene understanding, robotics, and augmented reality. However, exis…
l0-Regularized Sparse Coding-based Interpretable Network for Multi-Modal Image Fusion
Gargi Panda, Soumitra Kundu, Saumik Bhattacharya +1
Multi-modal image fusion (MMIF) enhances the information content of the fused image by combining the unique as well as common features obtained from different modality sensor image…
INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction
Soumitra Kundu, Gargi Panda, Saumik Bhattacharya +2
Non-invasive and continuous blood pressure (BP) monitoring is essential for the early prevention of many cardiovascular diseases. Estimating arterial blood pressure (ABP) from phot…
SINET: Sparsity-driven Interpretable Neural Network for Underwater Image Enhancement
Gargi Panda, Soumitra Kundu, Saumik Bhattacharya +1
Improving the quality of underwater images is essential for advancing marine research and technology. This work introduces a sparsity-driven interpretable neural network (SINET) fo…
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…
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…