Video moment localization, also known as video moment retrieval, aims to search a target
segment within a video described by a given natural language query. Beyond the task of …

Medical image segmentation has the priori guiding significance for clinical diagnosis and
treatment. In the past ten years, a large number of experimental facts have proved the great …

This paper presents an intelligent human PC intuitive framework. In this proposed work,
artificial intelligence is utilized for home mechanization, which perceives human motions …

Reconstructing a 3D hand from a single-view RGB image is challenging due to various hand
configurations and depth ambiguity. To reliably reconstruct a 3D hand from a monocular …

It is difficult to construct a data collection including all possible combinations of human
actions and interacting objects due to the combinatorial nature of human-object interactions …

Current studies have shown that the spatial‐temporal graph convolutional network (ST‐
GCN) is effective for skeleton‐based action recognition. However, for the existing ST‐GCN …

Most skeleton-based action recognition methods assume that the same type of action
samples in the training set and the test set share similar motion patterns. However, action …

Action visual tempo characterizes the dynamics and the temporal scale of an action, which is
helpful to distinguish human actions that share high similarities in visual dynamics and …

With the development of the Internet of things (IoT) and wearable devices, the sensor-based
human activity recognition (HAR) has attracted more and more attentions from researchers …

Limited by the size, location, number of samples and other factors of the small object itself,
the small object is usually insufficient, which degrades the performance of the small object …