Author: Nitish Kumar

Nitish Kumar
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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.

Researchers at the University of Michigan Develop Zeus: A Machine Learning-Based Framework for Optimizing GPU Energy Consumption of Deep Neural Networks DNNs Training

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 a Latest Computer Vision Research, Alibaba Researchers Develop ‘EPro-PnP’ for Monocular 3D Object Detection in Driving Scenes

In computer vision, determining the posture of 3D objects from a single RGB image is crucial. This field is frequently separated into several tasks,...

Researchers at The University of Luxembourg Develop a Method to Learn Grasping Objects on the Moon from 3D Octree Observations with Deep Reinforcement Learning

The goal of planetary exploration is to improve science by revealing new information about the geology and resource potential of other worlds. Extraterrestrial robotic...

In A Latest Computer Vision Research, Researchers Propose ShAPO; An End-To-End Method For Joint Multi-Object Detection, 3D Textured Reconstruction, 6D Object Pose, And Size...

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....

Researchers at Meta AI Develop Multiface: A Dataset for Neural Face Rendering

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...

Researchers at ByteDance develop IDOL for enabling Models to learn more about Discriminative and Robust Instance Features for VIS (Video Instance Segmentation) Tasks

The goal of video instance segmentation is to simultaneously find, segment, and track all instances of an object in a video. Due to the...

Researchers At Samsung Develop MegaPortraits: An AI Model To Create One-Shot Megapixel Neural Head Avatars

A novel and intriguing method of building virtual head models are neural head avatars. They learn the shape and appearance of talking humans in...

Researchers From CMU And Stanford Develop OBJECTFOLDER 2.0: A Multisensory Object Dataset For Sim2Real Transfer

Perception and manipulation of a wide array of items are part of our daily activities. The alarm clock looks round and glossy, cutlery clinks...

Inspired by Developmental Psychology, Deepmind Researchers Develop a Deep Learning Model to Learn Intuitive Physics

Atari video games, board games like chess and go, scientific difficulties like protein folding, and language modelingโ€”all of these activities are now being mastered...

Researchers at NTU Singapore Propose Seq-DeepFake Transformer (SeqFakeFormer) for Detecting and Recovering Sequential DeepFake Manipulations

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...

Researchers Develop a New Dataset and Baseline Model for Breast Lesion Detection in Ultrasound Videos

The top cause of death for women globally is breast cancer. Due to its adaptability, safety, and high sensitivity, ultrasonic imaging is currently the...

Researchers at Google Develop BlazePose GHUM Holistic: A Lightweight Neural Network Pipeline that Predicts 3D Landmarks and Pose of the Human Body on-Device

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...

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