Computer Vision

CMU Researchers Create An AI Model That Can Detect The Pose of Multiple Humans In A Room Using Only The Signals From WiFi

Significant advancement in 2D and 3D human posture estimation using RGB cameras, LiDAR, and radars has been made possible by improvements in computer vision...

A New Artificial Intelligence (AI) Research From The University of Maryland Propose A Shape-Aware Text-Driven Layered Video Editing Tool

Video editing, the process of manipulating and rearranging video clips to meet desired objectives, has been revolutionized by the integration of artificial intelligence (AI)...

This AI Model Called SeaFormer Brings Vision Transformers to Mobile Devices

The introduction of the vision transformer and its massive success in the object detection task has attracted a lot of attention toward transformers in...

Researchers at NYU Propose A New Fine-Grained Vision And Language Understanding Task (CPD) And Associated Benchmark – TRICD For Object Detection

An important goal in the study of computer vision is to comprehend visual situations. Over the years, several proxy tasks—from picture-level tasks like classification...

Meet RangeAugment: Image Augmentation Technique That Works By Learning The Range of Magnitudes For Effective Computation

The performance of a deep neural network depends on the characteristics and quantity of the data provided for training purposes. Since there is a...

Researchers at Stanford Release A Large Pediatric Echocardiography Video Dataset for Computer Vision Research

The most important frontline diagnostic tool for heart disease in the United States is echocardiography since it is portable, effective, and non-invasive while still...

CMU Researchers Develop FRIDA: An Artificial Intelligence (AI) Powered Robotics Framework That Can Collaborate With Humans To Paint And Create Beautiful Art

Artificial Intelligence has been the talk of the town ever since it was introduced. It has contributed to almost every single domain with its...

Meet MOSE: A New Dataset for Video Object Segmentation in Complex Scenes

One of the most fundamental and difficult computer vision problems is essential for many illegal applications, including video analysis and comprehension, including self-driving cars,...

Meet CutLER (Cut-and-LEaRn): A Simple AI Approach For Training Object Detection And Instance Segmentation Models Without Human Annotations

Object detection and image segmentation are crucial tasks in computer vision and artificial intelligence. They are critical in numerous applications, such as autonomous vehicles,...

Meet STEPS: A New Computer Vision Method That Jointly Learns A Nighttime Image Enhancer And A Depth Estimator Without Using Ground Truth

In recent times, researchers have gained considerable interest in self-supervised depth estimation techniques because of their low hardware cost and ability to promote the...

A Recent AI Research Proposes IDE-3D: An Interactive Disentangled Editing Framework for High-Resolution 3D-aware Portrait Synthesis

Portrait synthesis has become a rapidly growing field of computer graphics in recent years. If you are wondering what portrait synthesis means, it is...

A New AI Research From MIT Reduces Variance in Denoising Score-Matching, Improving Image Quality, Stability, and Training Speed in Diffusion Models

Diffusion models have recently produced outstanding results on various generating tasks, including the creation of images, 3D point clouds, and molecular conformers. Ito stochastic...

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