Shiv Ram Dubey

research

∙ 02/17/2023

Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey

Generative Adversarial Networks (GANs) have been very successful for syn...

0 Shiv Ram Dubey, et al. ∙

research

∙ 02/14/2023

WSD: Wild Selfie Dataset for Face Recognition in Selfie Images

With the rise of handy smart phones in the recent years, the trend of ca...

0 Laxman Kumarapu, et al. ∙

research

∙ 01/09/2023

EMAHA-DB1: A New Upper Limb sEMG Dataset for Classification of Activities of Daily Living

In this paper, we present electromyography analysis of human activity - ...

0 Naveen Kumar Karnam, et al. ∙

research

∙ 10/12/2022

AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs

The stochastic gradient descent (SGD) optimizers are generally used to t...

0 Shiv Ram Dubey, et al. ∙

research

∙ 07/19/2022

Context Unaware Knowledge Distillation for Image Retrieval

Existing data-dependent hashing methods use large backbone networks with...

0 Bytasandram Yaswanth Reddy, et al. ∙

research

∙ 07/19/2022

Moment Centralization based Gradient Descent Optimizers for Convolutional Neural Networks

Convolutional neural networks (CNNs) have shown very appealing performan...

0 Sumanth Sadu, et al. ∙

research

∙ 05/12/2022

Target Aware Network Architecture Search and Compression for Efficient Knowledge Transfer

Transfer Learning enables Convolutional Neural Networks (CNN) to acquire...

0 S. H. Shabbeer Basha, et al. ∙

research

∙ 02/22/2022

HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels

This paper proposes an Information Bottleneck theory based filter prunin...

0 CH Sarvani, et al. ∙

research

∙ 12/03/2021

Semantic Map Injected GAN Training for Image-to-Image Translation

Image-to-image translation is the recent trend to transform images from ...

2 Balaram Singh Kshatriya, et al. ∙

research

∙ 09/29/2021

A Comprehensive Survey and Performance Analysis of Activation Functions in Deep Learning

Neural networks have shown tremendous growth in recent years to solve nu...

40 Shiv Ram Dubey, et al. ∙

research

∙ 09/26/2021

Vision Transformer Hashing for Image Retrieval

Deep learning has shown a tremendous growth in hashing techniques for im...

0 Shiv Ram Dubey, et al. ∙

research

∙ 09/26/2021

Frequency Disentangled Residual Network

Residual networks (ResNets) have been utilized for various computer visi...

5 Satya Rajendra Singh, et al. ∙

research

∙ 09/26/2021

Curvature Injected Adaptive Momentum Optimizer for Convolutional Neural Networks

In this paper, we propose a new approach, hereafter referred as AdaInjec...

0 Shiv Ram Dubey, et al. ∙

research

∙ 05/27/2021

Efficient High-Resolution Image-to-Image Translation using Multi-Scale Gradient U-Net

Recently, Conditional Generative Adversarial Network (Conditional GAN) h...

6 Kumarapu Laxman, et al. ∙

research

∙ 05/21/2021

Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval

Deep learning has shown a great improvement in the performance of visual...

0 Satya Rajendra Singh, et al. ∙

research

∙ 05/21/2021

AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images

Covid-19 global pandemic continues to devastate health care systems acro...

0 Anirudh Ambati, et al. ∙

research

∙ 01/30/2021

Deep Model Compression based on the Training History

Deep Convolutional Neural Networks (DCNNs) have shown promising results ...

0 S. H. Shabbeer Basha, et al. ∙

research

∙ 12/20/2020

Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks

The Convolutional Neural Networks (CNNs) have emerged as a very powerful...

0 Jayendra Kantipudi, et al. ∙

research

∙ 12/07/2020

MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network

We propose a facial micro-expression recognition model using 3D residual...

0 Viswanatha Reddy Gajjala, et al. ∙

research

∙ 11/23/2020

A Decade Survey of Content Based Image Retrieval using Deep Learning

The content based image retrieval aims to find the similar images from a...

0 Shiv Ram Dubey, et al. ∙

research

∙ 02/13/2020

PCSGAN: Perceptual Cyclic-Synthesized Generative Adversarial Networks for Thermal and NIR to Visible Image Transformation

In many real world scenarios, it is difficult to capture the images in t...

0 Kancharagunta Kishan Babu, et al. ∙

research

∙ 01/22/2020

AutoFCL: Automatically Tuning Fully Connected Layers for Transfer Learning

Deep Convolutional Neural Networks (CNN) have evolved as popular machine...

0 S. H. Shabbeer Basha, et al. ∙

research

∙ 01/15/2020

CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation

Image-to-image transformation is a kind of problem, where the input imag...

16 Kancharagunta Kishan Babu, et al. ∙

research

∙ 10/19/2019

NASIB: Neural Architecture Search withIn Budget

Neural Architecture Search (NAS) represents a class of methods to genera...

0 Abhishek Singh, et al. ∙

research

∙ 09/12/2019

diffGrad: An Optimization Method for Convolutional Neural Networks

Stochastic Gradient Decent (SGD) is one of the core techniques behind th...

0 Shiv Ram Dubey, et al. ∙

research

∙ 08/27/2019

Visual Question Answering using Deep Learning: A Survey and Performance Analysis

The Visual Question Answering (VQA) task combines challenges for process...

0 Yash Srivastava, et al. ∙

research

∙ 03/27/2019

Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks

Facial expression recognition in videos is an active area of research in...

0 Sai Prasanna Teja Reddy, et al. ∙

research

∙ 02/18/2019

HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification

Hyperspectral image (HSI) classification is widely used for the analysis...

18 Swalpa Kumar Roy, et al. ∙

research

∙ 01/21/2019

Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification

The Convolutional Neural Networks (CNNs), in domains like computer visio...

0 S H Shabbeer Basha, et al. ∙

research

∙ 01/11/2019

CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation

The primary motivation of Image-to-Image Transformation is to convert an...

8 Kishan Babu Kancharagunta, et al. ∙

research

∙ 09/30/2018

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification

Efficient and precise classification of histological cell nuclei is of u...

0 Shabbeer Basha S H, et al. ∙

research

∙ 09/30/2018

A Multi-Face Challenging Dataset for Robust Face Recognition

Face recognition in images is an active area of interest among the compu...

0 Shiv Ram Dubey, et al. ∙

research

∙ 05/08/2018

A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing

In the current era, biometric based access control is becoming more popu...

0 Chaitanya Nagpal, et al. ∙

research

∙ 04/16/2018

Dual CNN Models for Unsupervised Monocular Depth Estimation

A lot of progress has been made to solve the depth estimation problem in...

0 Vamshi Krishna Repala, et al. ∙

research

∙ 04/02/2018

Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval

The convolutional neural networks (CNN) like AlexNet, GoogleNet, VGGNet,...

0 Shiv Ram Dubey, et al. ∙

research

∙ 11/26/2017

Local Jet Pattern: A Robust Descriptor for Texture Classification

Methods based on local image features have recently shown promise for te...

0 Swalpa Kumar Roy, et al. ∙

research

∙ 09/20/2017

Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval

Face recognition is still a very demanding area of research. This proble...

0 Shiv Ram Dubey, et al. ∙

research

∙ 09/16/2017

Face Retrieval using Frequency Decoded Local Descriptor

The local descriptors have been the backbone of most of the computer vis...

0 Shiv Ram Dubey, et al. ∙

research

∙ 12/23/2014

Fusing Color and Texture Cues to Categorize the Fruit Diseases from Images

The economic and production losses in agricultural industry worldwide ar...

0 Shiv Ram Dubey, et al. ∙

research

∙ 05/20/2014

Adapted Approach for Fruit Disease Identification using Images

Diseases in fruit cause devastating problem in economic losses and produ...

0 Shiv Ram Dubey, et al. ∙

Shiv Ram Dubey

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