With widely deployed WiFi network and the uniqueness feature (fingerprint) of wireless
channel information, fingerprinting based WiFi positioning is currently the mainstream indoor …

Temporal action segmentation is crucial for understanding long-form videos. Previous works
on this task commonly adopt an iterative refinement paradigm by using multi-stage models. …

With the extensive development of Wi-Fi, indoor location services based on received signal
strength (RSS) fingerprints have attracted increasing attention from researchers. In complex …

Volumetric video (or hologram video), the medium for representing natural content in VR/AR/MR,
is presumably the next generation of video technology and a typical use case for 5G …

Surgical skills have a great influence on surgical safety and patients' well-being. Traditional
assessment of surgical skills involves strenuous manual efforts, which lacks efficiency and …

Real-time smart grid monitoring is critical to enhancing resiliency and operational efficiency
of power equipment. Cloud-based and edge-based fault detection systems integrating deep …

Field of view (FoV) prediction is critical in 360-degree video multicast, which is a key component
of the emerging virtual reality and augmented reality applications. Most of the current …

The recession of water levels of natural lakes and their associated impacts on wetland
ecosystems is a serious issue worldwide. Poyang Lake (the largest freshwater lake in China) has …

We propose a novel few-shot learning framework that can recognize human–object
interaction (HOI) classes with a few labeled samples. We achieve this by leveraging a meta-learning …

Incipient fault detection in power distribution systems is crucial to improve the reliability of the
grid. However, the nonstationary nature and the inadequacy of the training dataset due to …