activity
20242026
collaborators

17 papers

physics.soc-ph2026

Teacher Knows It Best: Spontaneous Symmetry Breaking and Tipping Points in Networked Langevin Dynamics AI Sycophancy

Sayantari Ghosh, Saumik Bhattacharya, Partha Pratim Chakrabarti

We formulate a statistical physics framework to model a networked stochastic dynamical system exhibiting bistability, driven by additive noise and social conformity. We apply this…

cs.CV2026

Exploring Mutual Cross-Modal Attention for Context-Aware Human Affordance Generation

Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +2

Human affordance learning investigates contextually relevant novel pose prediction such that the estimated pose represents a valid human action within the scene. While the task is…

cs.CV2026

DRG-Font: Dynamic Reference-Guided Few-shot Font Generation via Contrastive Style-Content Disentanglement

Rejoy Chakraborty, Prasun Roy, Saumik Bhattacharya +1

Few-shot Font Generation aims to generate stylistically consistent glyphs from a few reference glyphs. However, capturing complex font styles from a few exemplars remains challengi…

cs.CV2025

F-ANcGAN: An Attention-Enhanced Cycle Consistent Generative Adversarial Architecture for Synthetic Image Generation of Nanoparticles

Varun Ajith, Anindya Pal, Saumik Bhattacharya +1

Nanomaterial research is becoming a vital area for energy, medicine, and materials science, and accurate analysis of the nanoparticle topology is essential to determine their prope…

cs.CV2025

MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning

Siladittya Manna, Umapada Pal, Saumik Bhattacharya

Self-supervised contrastive learning frameworks have progressed rapidly over the last few years. In this paper, we propose a novel loss function for contrastive learning. We model…

cs.CV2025

Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation

Siladittya Manna, Suresh Das, Sayantari Ghosh +1

Decentralized federated learning enables learning of data representations from multiple sources without compromising the privacy of the clients. In applications like medical image…