1.9k citations · 3.4k across the 51 of their papers we have counts for
46 papers · 1 filter
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…
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…
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs
Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
The stochastic gradient descent (SGD) optimizers are generally used to train the convolutional neural networks (CNNs). In recent years, several adaptive momentum based SGD optimize…
T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network
Bulla Rajesh, Nandakishore Dusa, Mohammed Javed +2
The problem of generating textual descriptions for the visual data has gained research attention in the recent years. In contrast to that the problem of generating visual data from…
Context Unaware Knowledge Distillation for Image Retrieval
Bytasandram Yaswanth Reddy, Shiv Ram Dubey, Rakesh Kumar Sanodiya +1
Existing data-dependent hashing methods use large backbone networks with millions of parameters and are computationally complex. Existing knowledge distillation methods use logits…
Moment Centralization based Gradient Descent Optimizers for Convolutional Neural Networks
Sumanth Sadu, Shiv Ram Dubey, SR Sreeja
Convolutional neural networks (CNNs) have shown very appealing performance for many computer vision applications. The training of CNNs is generally performed using stochastic gradi…
Target Aware Network Architecture Search and Compression for Efficient Knowledge Transfer
S. H. Shabbeer Basha, Debapriya Tula, Sravan Kumar Vinakota +1
Transfer Learning enables Convolutional Neural Networks (CNN) to acquire knowledge from a source domain and transfer it to a target domain, where collecting large-scale annotated e…
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
CH Sarvani, Mrinmoy Ghorai, Shiv Ram Dubey +1
This paper proposes an Information Bottleneck theory based filter pruning method that uses a statistical measure called Mutual Information (MI). The MI between filters and class la…
HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network
Bulla Rajesh, Abhishek Kumar Gupta, Ayush Raj +2
Handwritten word recognition from document images using deep learning is an active research area in the field of Document Image Analysis and Recognition. In the present era of Big…
Semantic Map Injected GAN Training for Image-to-Image Translation
Balaram Singh Kshatriya, Shiv Ram Dubey, Himangshu Sarma +4
Image-to-image translation is the recent trend to transform images from one domain to another domain using generative adversarial network (GAN). The existing GAN models perform the…
Vision Transformer Hashing for Image Retrieval
Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu
Deep learning has shown a tremendous growth in hashing techniques for image retrieval. Recently, Transformer has emerged as a new architecture by utilizing self-attention without c…
Frequency Disentangled Residual Network
Satya Rajendra Singh, Roshan Reddy Yedla, Shiv Ram Dubey +2
Residual networks (ResNets) have been utilized for various computer vision and image processing applications. The residual connection improves the training of the network with bett…
Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval
Satya Rajendra Singh, Shiv Ram Dubey, Shruthi MS +2
Deep learning has shown a great improvement in the performance of visual tasks. Image retrieval is the task of extracting the visually similar images from a database for a query im…
Deep Model Compression based on the Training History
S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari +2
Deep Convolutional Neural Networks (DCNNs) have shown promising performances in several visual recognition problems which motivated the researchers to propose popular architectures…
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks
Jayendra Kantipudi, Shiv Ram Dubey, Soumendu Chakraborty
The Convolutional Neural Networks (CNNs) have emerged as a very powerful data dependent hierarchical feature extraction method. It is widely used in several computer vision problem…
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network
Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy, Snehasis Mukherjee +1
Micro-expression has emerged as a promising modality in affective computing due to its high objectivity in emotion detection. Despite the higher recognition accuracy provided by th…
A Decade Survey of Content Based Image Retrieval using Deep Learning
Shiv Ram Dubey
The content based image retrieval aims to find the similar images from a large scale dataset against a query image. Generally, the similarity between the representative features of…
On the Performance of Convolutional Neural Networks under High and Low Frequency Information
Roshan Reddy Yedla, Shiv Ram Dubey
Convolutional neural networks (CNNs) have shown very promising performance in recent years for different problems, including object recognition, face recognition, medical image ana…
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning
S. H. Shabbeer Basha, Sravan Kumar Vinakota, Viswanath Pulabaigari +2
Transfer learning enables solving a specific task having limited data by using the pre-trained deep networks trained on large-scale datasets. Typically, while transferring the lear…