Generative Adversarial Networks (GANs) have been very successful for
syn...
With the rise of handy smart phones in the recent years, the trend of
ca...
In this paper, we present electromyography analysis of human activity -
...
The stochastic gradient descent (SGD) optimizers are generally used to t...
Existing data-dependent hashing methods use large backbone networks with...
Convolutional neural networks (CNNs) have shown very appealing performan...
Transfer Learning enables Convolutional Neural Networks (CNN) to acquire...
This paper proposes an Information Bottleneck theory based filter prunin...
Image-to-image translation is the recent trend to transform images from ...
Neural networks have shown tremendous growth in recent years to solve
nu...
Deep learning has shown a tremendous growth in hashing techniques for im...
Residual networks (ResNets) have been utilized for various computer visi...
In this paper, we propose a new approach, hereafter referred as AdaInjec...
Recently, Conditional Generative Adversarial Network (Conditional GAN) h...
Deep learning has shown a great improvement in the performance of visual...
Covid-19 global pandemic continues to devastate health care systems acro...
Deep Convolutional Neural Networks (DCNNs) have shown promising results ...
The Convolutional Neural Networks (CNNs) have emerged as a very powerful...
We propose a facial micro-expression recognition model using 3D residual...
The content based image retrieval aims to find the similar images from a...
In many real world scenarios, it is difficult to capture the images in t...
Deep Convolutional Neural Networks (CNN) have evolved as popular machine...
Image-to-image transformation is a kind of problem, where the input imag...
Neural Architecture Search (NAS) represents a class of methods to genera...
Stochastic Gradient Decent (SGD) is one of the core techniques behind th...
The Visual Question Answering (VQA) task combines challenges for process...
Facial expression recognition in videos is an active area of research in...
Hyperspectral image (HSI) classification is widely used for the analysis...
The Convolutional Neural Networks (CNNs), in domains like computer visio...
The primary motivation of Image-to-Image Transformation is to convert an...
Efficient and precise classification of histological cell nuclei is of u...
Face recognition in images is an active area of interest among the compu...
In the current era, biometric based access control is becoming more popu...
A lot of progress has been made to solve the depth estimation problem in...
The convolutional neural networks (CNN) like AlexNet, GoogleNet, VGGNet,...
Methods based on local image features have recently shown promise for te...
Face recognition is still a very demanding area of research. This proble...
The local descriptors have been the backbone of most of the computer vis...
The economic and production losses in agricultural industry worldwide ar...
Diseases in fruit cause devastating problem in economic losses and produ...