Still image human action recognition (HAR) is a challenging problem owing to limited
sources of information and large intra-class and small inter-class variations which requires …

Human activity recognition is one of the most difficult tasks in computer vision. Due to the
lack of time information, detecting human activities from still photos is more difficult than …

In still image human action recognition, existing studies have mainly leveraged extra
bounding box information along with class labels to mitigate the lack of temporal information …

Still-image based human action recognition is a challenging task in the field of computer
vision due to the limited information available in a single image. Hence, it is important to …

A novel dataset on teacher-student classroom behavior has been designed and
implemented in this paper. The dataset, named Posture-based Teacher-Student Behavioral …

Introduction Currently, using machine learning methods for precise analysis and
improvement of swimming techniques holds significant research value and application …

The advent of Contrastive Language-Image Pre-training (CLIP) models has revolutionized
the integration of textual and visual representations, significantly enhancing the …

Still image-based human action recognition is a highly sought-after but challenging field in
computer vision, and such challenge mainly stems from the lack of information in single …

Human action detection in static images is a hot and challenging field within computer
vision. Given the limited features of a single image, achieving precision detection results …

Throughout the last decades, human activity recognition has been considered one of the
most complex tasks in the domain of computer vision. Previously, many works have …