collaborators

9 papers

cs.CV2026

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…

cs.AI2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…