50 citations · 92 across the 40 of their papers we have counts for
43 papers
CoDeFont: One-Shot Font Generation via Multi-Scale Factor-Specific Representation Learning
Rejoy Chakraborty, Prasun Roy, Saumik Bhattacharya +1
One-shot Font Generation (OFG) aims to synthesize a target glyph by transferring the stylistic characteristics of a single reference glyph while preserving the structure of the tar…
A Path Integral Surrogate for Multi-Step Gradient Inversion in Federated Learning
Agnivo Ghosh, Saumik Bhattacharya
Federated learning lets many clients train a shared model together without ever sending their private data to a central server. Each client shares only a model update, and this upd…
On the Role of the Projector in Contrastive Self-Supervised Learning: Last-Layer Rank Dynamics Drive Representation Quality
Siladittya Manna, Priyangshu Mandal, Umapada Pal +1
The dimensional collapse of representations in self-supervised contrastive learning is an ever-present issue. One notable technique to prevent such a collapse of representations is…
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…
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…
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…
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…
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…
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…
Decorrelation-based Self-Supervised Visual Representation Learning for Writer Identification
Arkadip Maitra, Shree Mitra, Siladittya Manna +2
Self-supervised learning has developed rapidly over the last decade and has been applied in many areas of computer vision. Decorrelation-based self-supervised pretraining has shown…
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.…
FastTextSpotter: A High-Efficiency Transformer for Multilingual Scene Text Spotting
Alloy Das, Sanket Biswas, Umapada Pal +2
The proliferation of scene text in both structured and unstructured environments presents significant challenges in optical character recognition (OCR), necessitating more efficien…
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…
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…
Quantitative Analysis of Social Influence & Digital Piracy Contagion with Differential Equations on Networks
Dibyajyoti Mallick, Kumar Gaurav, Saumik Bhattacharya +1
Though the studies of social contagions are regularly borrowing network models to study the propagation of social influences and opinions to include social heterogeneity. Such stud…
ViLP: Knowledge Exploration using Vision, Language, and Pose Embeddings for Video Action Recognition
Soumyabrata Chaudhuri, Saumik Bhattacharya
Video Action Recognition (VAR) is a challenging task due to its inherent complexities. Though different approaches have been explored in the literature, designing a unified framewo…
FASTER: A Font-Agnostic Scene Text Editing and Rendering Framework
Alloy Das, Sanket Biswas, Prasun Roy +5
Scene Text Editing (STE) is a challenging research problem, that primarily aims towards modifying existing texts in an image while preserving the background and the font style of t…
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Siladittya Manna, Soumitri Chattopadhyay, Rakesh Dey +2
In contemporary self-supervised contrastive algorithms like SimCLR, MoCo, etc., the task of balancing attraction between two semantically similar samples and repulsion between two…
SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation
Subhajit Maity, Sanket Biswas, Siladittya Manna +4
Document layout analysis is a known problem to the documents research community and has been vastly explored yielding a multitude of solutions ranging from text mining, and recogni…
MMC: Multi-Modal Colorization of Images using Textual Descriptions
Subhankar Ghosh, Saumik Bhattacharya, Prasun Roy +2
Handling various objects with different colors is a significant challenge for image colorization techniques. Thus, for complex real-world scenes, the existing image colorization al…
Semantically Consistent Person Image Generation
Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +2
We propose a data-driven approach for context-aware person image generation. Specifically, we attempt to generate a person image such that the synthesized instance can blend into a…
To Jab or Not to Jab? A Study on COVID-19 Vaccine Hesitancy in India
Shagata Mukherjee, Sayantari Ghosh, Saumik Bhattacharya +1
With a country-wide comprehensive internet survey conducted in India, we aim to determine the factors that drive hesitancy towards getting vaccinated for COVID-19, and also compare…
TIC: Text-Guided Image Colorization
Subhankar Ghosh, Prasun Roy, Saumik Bhattacharya +2
Image colorization is a well-known problem in computer vision. However, due to the ill-posed nature of the task, image colorization is inherently challenging. Though several attemp…
TIPS: Text-Induced Pose Synthesis
Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +2
In computer vision, human pose synthesis and transfer deal with probabilistic image generation of a person in a previously unseen pose from an already available observation of that…