50 citations · 62 across the 16 of their papers we have counts for
17 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…
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…
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…
Probabilistically robust conformal prediction
Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja +3
Conformal prediction (CP) is a framework to quantify uncertainty of machine learning classifiers including deep neural networks. Given a testing example and a trained classifier, C…
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…
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
Subhankar Ghosh, Taha Belkhouja, Yan Yan +1
Safe deployment of deep neural networks in high-stake real-world applications requires theoretically sound uncertainty quantification. Conformal prediction (CP) is a principled fra…
A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing
Prasun Roy, Subhankar Ghosh, Umapada Pal
Air-writing refers to virtually writing linguistic characters through hand gestures in three-dimensional space with six degrees of freedom. This paper proposes a generic video came…
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…
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…
Scene Aware Person Image Generation through Global Contextual Conditioning
Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +2
Person image generation is an intriguing yet challenging problem. However, this task becomes even more difficult under constrained situations. In this work, we propose a novel pipe…
Multi-scale Attention Guided Pose Transfer
Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +1
Pose transfer refers to the probabilistic image generation of a person with a previously unseen novel pose from another image of that person having a different pose. Due to potenti…
Shared and Private VAEs with Generative Replay for Continual Learning
Subhankar Ghosh
Continual learning tries to learn new tasks without forgetting previously learned ones. In reality, most of the existing artificial neural network(ANN) models fail, while humans do…
Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
Subhankar Ghosh
Continual zero-shot learning(CZSL) is a new domain to classify objects sequentially the model has not seen during training. It is more suitable than zero-shot and continual learnin…
STEFANN: Scene Text Editor using Font Adaptive Neural Network
Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +1
Textual information in a captured scene plays an important role in scene interpretation and decision making. Though there exist methods that can successfully detect and interpret c…
Effects of Degradations on Deep Neural Network Architectures
Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +1
Deep convolutional neural networks (CNN) have massively influenced recent advances in large-scale image classification. More recently, a dynamic routing algorithm with capsules (gr…
Online Stroke and Akshara Recognition GUI in Assamese Language Using Hidden Markov Model
SRM Prasanna, Rituparna Devi, Deepjoy Das +2
The work describes the development of Online Assamese Stroke & Akshara Recognizer based on a set of language rules. In handwriting literature strokes are composed of two coordinate…