7 citations · 15 across the 12 of their papers we have counts for
12 papers
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification
Shyam Varahagiri, Aryaman Sinha, Shiv Ram Dubey +1
In recent years, Vision Transformers (ViTs) have shown promising classification performance over Convolutional Neural Networks (CNNs) due to their self-attention mechanism. Many re…
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…
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…
WSD: Wild Selfie Dataset for Face Recognition in Selfie Images
Laxman Kumarapu, Shiv Ram Dubey, Snehasis Mukherjee +3
With the rise of handy smart phones in the recent years, the trend of capturing selfie images is observed. Hence efficient approaches are required to be developed for recognising f…