Given input images, scene graph generation (SGG) aims to produce comprehensive,
graphical representations describing visual relationships among salient objects. Recently …

Indoor localization (IL) is a significant topic of study with several practical applications,
particularly in the context of the Internet of Things (IoT) and smart cities. The area of IL has …

Deepfake technology has given rise to a spectrum of novel and compelling applications.
Unfortunately, the widespread proliferation of high-fidelity fake videos has led to pervasive …

In recent years, the use of WiFi fingerprints for indoor positioning has grown in popularity,
largely due to the widespread availability of WiFi and the proliferation of mobile …

Detecting human-object interactions (HOI) is an important step toward a comprehensive
visual understanding of machines. While detecting non-temporal HOIs (eg, sitting on a chair) …

In recent years, Zero-shot Node Classification (ZNC), an emerging and more difficult task is
starting to attract attention, where the classes of testing nodes are unobserved in the training …

Given that fingerprint localization methods can be effectively modeled as supervised
learning problems, machine learning has been employed for indoor localization tasks based …

Wi-Fi fingerprinting using the received signal strength (RSS) of the access point (AP) as a
physical signal feature is widely studied in the indoor localization area with various …

Human pose estimation in videos has long been a compelling yet challenging task within
the realm of computer vision. Nevertheless, this task remains difficult because of the …

Due to the inability of GPS (or other GNSS methods) to provide satisfactory precision for the
indoor location scenario, indoor positioning systems resort to other signals already available …