25 citations · 87 across the 32 of their papers we have counts for
31 papers
Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models
Karukriti Kaushik Ghosh, Chiranjib Sur
Aspect-based sentiment analysis (ASBA) is a refined approach to sentiment analysis that aims to extract and classify sentiments based on specific aspects or features of a product,…
Self-Segregating and Coordinated-Segregating Transformer for Focused Deep Multi-Modular Network for Visual Question Answering
Chiranjib Sur
Attention mechanism has gained huge popularity due to its effectiveness in achieving high accuracy in different domains. But attention is opportunistic and is not justified by the…
SACT: Self-Aware Multi-Space Feature Composition Transformer for Multinomial Attention for Video Captioning
Chiranjib Sur
Video captioning works on the two fundamental concepts, feature detection and feature composition. While modern day transformers are beneficial in composing features, they lack the…
ReLGAN: Generalization of Consistency for GAN with Disjoint Constraints and Relative Learning of Generative Processes for Multiple Transformation Learning
Chiranjib Sur
Image to image transformation has gained popularity from different research communities due to its enormous impact on different applications, including medical. In this work, we ha…
Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework
Chiranjib Sur
In this work, we have introduced Gaussian Smoothen Semantic Features (GSSF) for Better Semantic Selection for Indian regional language-based image captioning and introduced a proce…
MRRC: Multiple Role Representation Crossover Interpretation for Image Captioning With R-CNN Feature Distribution Composition (FDC)
Chiranjib Sur
While image captioning through machines requires structured learning and basis for interpretation, improvement requires multiple context understanding and processing in a meaningfu…