Advances in adversarial attacks and defenses in computer vision: A survey
Deep Learning is the most widely used tool in the contemporary field of computer vision. Its
ability to accurately solve complex problems is employed in vision research to learn deep …
ability to accurately solve complex problems is employed in vision research to learn deep …
Transformer for skeleton-based action recognition: A review of recent advances
Skeleton-based action recognition has rapidly become one of the most popular and
essential research topics in computer vision. The task is to analyze the characteristics of …
essential research topics in computer vision. The task is to analyze the characteristics of …
Threat of adversarial attacks on deep learning in computer vision: A survey
Deep learning is at the heart of the current rise of artificial intelligence. In the field of
computer vision, it has become the workhorse for applications ranging from self-driving cars …
computer vision, it has become the workhorse for applications ranging from self-driving cars …
Fusing higher-order features in graph neural networks for skeleton-based action recognition
Skeleton sequences are lightweight and compact and thus are ideal candidates for action
recognition on edge devices. Recent skeleton-based action recognition methods extract …
recognition on edge devices. Recent skeleton-based action recognition methods extract …
Perceptual attacks of no-reference image quality models with human-in-the-loop
No-reference image quality assessment (NR-IQA) aims to quantify how humans perceive
visual distortions of digital images without access to their undistorted references. NR-IQA …
visual distortions of digital images without access to their undistorted references. NR-IQA …
Action recognition based on RGB and skeleton data sets: A survey
Action recognition is a major branch of computer vision research. As a widely used
technology, action recognition has been applied to human–computer interaction, intelligent …
technology, action recognition has been applied to human–computer interaction, intelligent …
Deep learning and RGB-D based human action, human–human and human–object interaction recognition: A survey
Human activity recognition is one of the most studied topics in the field of computer vision. In
recent years, with the availability of RGB-D sensors and powerful deep learning techniques …
recent years, with the availability of RGB-D sensors and powerful deep learning techniques …
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
Recently, methods for skeleton-based human activity recognition have been shown to be
vulnerable to adversarial attacks. However, these attack methods require either the full …
vulnerable to adversarial attacks. However, these attack methods require either the full …
BASAR: black-box attack on skeletal action recognition
Skeletal motion plays a vital role in human activity recognition as either an independent data
source or a complement. The robustness of skeleton-based activity recognizers has been …
source or a complement. The robustness of skeleton-based activity recognizers has been …
Efficient robustness assessment via adversarial spatial-temporal focus on videos
Adversarial robustness assessment for video recognition models has raised concerns owing
to their wide applications on safety-critical tasks. Compared with images, videos have much …
to their wide applications on safety-critical tasks. Compared with images, videos have much …