Computer Vision

Google Research Proposes an Artificial Intelligence (AI) Model to Utilize Vision Transformers on Videos

Transformers have played a crucial role in natural language processing tasks in the last decade. Their success attributes mainly to their ability to extract...

Meet ‘EDGE’: A Diffusion Based AI Model That Generates Realistic And Long-Form Dance Sequences Conditioned On Music

Many cultures place a high value on dance as a means of expression, communication, and social connection. However, producing new dances or dance animations...

This Artificial Intelligence (AI) Paper Proposes a Novel Differentiable Angle Coder Named Phase Shifting Coder (PSC) to Accurately Predict the Orientation of Objects

Object detection is the technique used to identify and classify various items in an image. Different methods are commonly used for object detection to...

This Artificial Intelligence Paper Proposes ‘SuperGlue,’ A Graph Neural Network That Simultaneously Performs Context Aggregation, Matching, And Filtering of Local Features for Wide-Baseline Pose...

Imagine you have two pictures of the same scene taken from different angles. Most of the objects in both pictures are the same, just...

Latest Artificial Intelligence Research Presents Generative Adversarial Neural Networks Capable of Generating DeepFake Knee Osteoarthritis X-rays with Varying Osteoarthritis Severity

Recent advances in deep learning have touched the field of medical science. However, recent privacy concerns and legislative frameworks have hampered the sharing and...

Intel AI Introduces Deepfake Detector that Analyzes ‘Blood Flow’ in Video Pixels to Return Results in Milliseconds with 96% Accuracy

Deepfakes, the art of swapping one face with another, is probably fun. Technology has been getting better day by day, and so are deepfakes...

This Artificial Intelligence AI Research Proposes A Novel NIR-VIS Face Generation Method To Address The Problem of Insufficient NIR-VIS Data For The Cross-Modality Face...

Face recognition across Near Infrared (NIR) and VIS images have recently gained increasing attention in the computer vision community to overcome the problem that...

Meet Diffusion-GAN: A Novel GAN Framework That Leverages A Forward Diffusion Chain To Generate Gaussian-Mixture Distributed Instance Noise

Generative Adversarial Networks (or just GANs) have been widely used to generate synthetic data for different applications in recent years. The most commonly considered...

AWS AI Labs Propose A Method That Predicts Bias In Face Recognition Models Using Unlabeled Data

Algorithmic bias has emerged as a major area of study in artificial intelligence in recent years. An examination of facial recognition software in 2018...

Meet ‘Chinese CLIP,’ An Implementation of CLIP Pretrained on Large-Scale Chinese Datasets with Contrastive Learning

Contrastive Language-Image Pretraining, or CLIP, is a training method that differs from standard technics used by the vision community. A large dataset of over...

Researchers From Microsoft and TUDelft Propose An Artificial Intelligence (AI) Based Approach That Creates Synthetic Expression-Based Face Wrinkles

Synthetic data has frequently been used for a range of computer vision tasks, such as object identification, scene comprehension, eye tracking, hand tracking, and...

Google AI Researchers Propose An Artificial Intelligence-Based Method For Learning Perpetual View Generation of Natural Scenes Solely From Single-View Photos

Our earth is gorgeous, with majestic mountains, breathtaking seascapes, and tranquil forests. Flying past intricately detailed, three-dimensional landscapes, picture yourself taking in this splendor...

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