Nitish is a computer science undergraduate with keen interest in the field of deep learning. He has done various projects related to deep learning and closely follows the new advancements taking place in the field.
Deep neural networks (DNNs) have become widely used in recent years across a variety of data-driven application domains, including speech recognition, natural language processing,...
In computer vision, determining the posture of 3D objects from a single RGB image is crucial. This field is frequently separated into several tasks,...
The goal of planetary exploration is to improve science by revealing new information about the geology and resource potential of other worlds. Extraterrestrial robotic...
The interpretation of a holistic 3D object from a single RGB-D observation has remained a popular but difficult subject in robotics and computer vision....
Modern Virtual Reality applications require technology that supports photo-realistic human face rendering and restoration. Due to the social nature of people and their ability...
Atari video games, board games like chess and go, scientific difficulties like protein folding, and language modeling—all of these activities are now being mastered...
Deep generative models have recently been used to create hyper-realistic facial images that are virtually indistinguishable from real photographs. However, the substantial advancement in...
The top cause of death for women globally is breast cancer. Due to its adaptability, safety, and high sensitivity, ultrasonic imaging is currently the...
Motion capture and interactive video games are only two examples of the many applications made possible by accurate real-time inference of the human body...
