Skeleton-based action recognition methods using complete human skeletons have
achieved remarkable performance, but the performance of these methods could significantly …

Human motion detection in complex scenarios poses challenges due to occlusions. This
paper presents an integrated approach for accurate human motion detections by combining …

In this technological era, human activity recognition (HAR) plays a significant role in several
applications like surveillance, health services, Internet of Things, etc. Recent advancements …

In this article, a hierarchical method for action recognition based on temporal and spatial
features is proposed. In current HAR methods, camera movement, sensor movement …

Abstract Generative Adversarial Network (GAN) is one of the recent developments in the
area of deep learning to transform the images from one domain to another domain. While …

Action segmentation involves locating and classifying human action segments in an
untrimmed video, which is very important for understanding human activities. Segmenting …

Facial image synthesis using delineated face images is a complex task associated with
computer vision. The delineated face image synthesis such as sketch to face generation or …

The task of video action segmentation is to classify an untrimmed long video at the frame
level. With the requirement of processing long-term feature sequences containing much …

The challenge of generating and creating humanoid 3D models is nowadays omnipresent in
animation films, video games, and many other applications. To enhance and speed up this …

Temporal action detection is usually divided into two stages: temporal action proposal
generation and proposal classification. Most methods consider the proposal classification …