1.9k citations · 3.4k across the 51 of their papers we have counts for
57 papers
HAViT: Historical Attention Vision Transformer
Swarnendu Banik, Manish Das, Shiv Ram Dubey +1
Vision Transformers have excelled in computer vision but their attention mechanisms operate independently across layers, limiting information flow and feature learning. We propose…
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…
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…
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…