9 citations · 14 across the 6 of their papers we have counts for
6 papers
Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks
Akshay Jain, Shiv Ram Dubey, Satish Kumar Singh +2
Convolutional Neural Networks (CNNs) have made remarkable strides; however, they remain susceptible to vulnerabilities, particularly in the face of minor image perturbations that h…
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation
Trinetra Devkatte, Shiv Ram Dubey, Satish Kumar Singh +1
Facial super-resolution/hallucination is an important area of research that seeks to enhance low-resolution facial images for a variety of applications. While Generative Adversaria…
Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval
Ayush Dubey, Shiv Ram Dubey, Satish Kumar Singh +1
Unsupervised image retrieval aims to learn the important visual characteristics without any given level to retrieve the similar images for a given query image. The Convolutional Ne…
SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network
Neeraj Baghel, Shiv Ram Dubey, Satish Kumar Singh
Image super-resolution aims to synthesize high-resolution image from a low-resolution image. It is an active area to overcome the resolution limitations in several applications lik…
PTSR: Patch Translator for Image Super-Resolution
Neeraj Baghel, Shiv Ram Dubey, Satish Kumar Singh
Image super-resolution generation aims to generate a high-resolution image from its low-resolution image. However, more complex neural networks bring high computational costs and m…
Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey
Shiv Ram Dubey, Satish Kumar Singh
Generative Adversarial Networks (GANs) have been very successful for synthesizing the images in a given dataset. The artificially generated images by GANs are very realistic. The G…