Video Action Recognition (VAR) is a challenging task due to its inherent...
Image colorization is a well-known problem in computer vision. However, ...
In computer vision, human pose synthesis and transfer deal with probabil...
Person image generation is an intriguing yet challenging problem. Howeve...
Pose transfer refers to the probabilistic image generation of a person w...
Segmentation of macro and microvascular structures in fundoscopic retina...
Deep metric learning has been effectively used to learn distance metrics...
Reservoir Computing (RC) offers a viable option to deploy AI algorithms ...
Graph convolution networks have recently garnered a lot of attention for...
Sign language is a gesture based symbolic communication medium among spe...
COVID-19 pandemic is severely impacting the lives of billions across the...
The success and efficiency of Deep Learning based models for computer vi...
Compressive sensing (CS) is widely used to reduce the image acquisition ...
Compressive sensing magnetic resonance imaging (CS-MRI) accelerates the
...
Textual information in a captured scene play important role in scene
int...
By now, Internet word-of-mouth marketing has established its importance ...
Deep convolutional neural networks (CNNs) have achieved many state-of-th...