Action recognition is intended to classify a video into a certain category by aggregating and
summarizing its temporal and spatial information. Existing methods have achieved …

This paper introduces a new and challenging Hidden Intention Discovery (HID) task. Unlike
existing intention recognition tasks, which are based on obvious visual representations to …

Video action recognition aims to classify actions within sequences of video frames, which
has important applications in computer vision fields. Existing methods have shown …

Abstract Current approaches in Group Activity Recognition (GAR) predominantly emphasize
Human Relations (HRs) while often neglecting the impact of Human-Object Interactions …

Multimodal emotion recognition presents a complex challenge, as it involves the
identification of human emotions using various modalities such as video, text, and audio …

Deep convolutional neural networks (CNNs) with strong learning abilities have obtained
good results for image denoising. However, the CNNs for image denoising have …

WiFi-based human activity recognition has gained ever-growing attention in the field of
wireless sensor networks. As a promising technology, it has large application potential for …

Cloth-changing person re-identification (CC-ReID) aims to match individuals across multiple
surveillance cameras despite variations in clothing. Existing methods typically focus on …

The objective of video re-localization (VRL) is to localize a successive sequence of frames,
namely, the target moment, from untrimmed reference videos that semantically correspond …

Spiking neural networks (SNNs) have garnered significant attention for their potential in ultra-
low-power event-driven neuromorphic hardware implementations. One effective strategy for …