This paper introduces a novel concept for Home-based Monitoring (HM) that enables robust
analysis and understanding of activities towards improved caring and safety. Spatio …

Skeleton-based methods have made remarkable strides in human action recognition (HAR).
However, the performance of existing unimodal approaches is still limited by the lack of …

Currently, efficient spatio-temporal information modeling is one of the key research
components to solve the action recognition problem. Previous approaches focus on …

Critical applications ranging from sensitive military data to restricted area access demand
selective user authentication. The prevalent methods of tokens, passwords, and other …

Abstract Contrastive Language-Image Pretraining (CLIP) models have achieved significant
success and have markedly improved the performance of various downstream tasks …

Graph theory originated as a fun way to solve math problems, but it has now evolved into a
significant mathematics subject with several applications in computer vision. The human …

Recent years have seen an explosion in interest in and development of action recognition
based on skeletal data. Contemporary methods using fully gated units can successfully …

Abstract Salient Object Detection (SOD) is a crucial task within the domain of digital image
processing which aims to detect objects in images or videos that attract special human …

The current proofreading algorithms for action regulation mainly recover the 3D structure
and action information of non-rigid objects from image sequences by factorization. Most of …

Recognizing human actions from skeletal data is a major challenge, as it does not always
deliver optimal performance due to the limited ability to discern the spatio-temporal patterns …