The pervasive view of the mobile crowd bridges various real-world scenes and people's
perceptions with the gathering of distributed crowdsensing photos. To elaborate informative …

Mobile crowdsensing has emerged as a promising paradigm where location-based sensing
tasks are outsourced to mobile participants carrying sensor-equipped devices. A critical …

With the rapid development of interactive multimedia services and camera sensor networks,
the number of network videos is exploding, which has formed a natural carrier library for …

The existing safety helmet detection methods are mainly based on one-stage object
detection algorithms with high detection speed to reach the real-time detection …

Mobile crowdsensing provides the data collection and sharing for the 5G-enabled industrial
Internet of Things. However, the redundant and duplicated heterogeneous sensing data …

Massive amounts of high-quality data are the prerequisite and support for AI technologies.
Due to the nature of privacy-preserving and low communication overheads, federated …

The emergence of vehicular crowdsensing (VCS) brings new opportunities and possibilities
for the collection of High-Definition (HD) maps. Unlike traditional mapping methods, VCS …

Medical image segmentation is an important application field of computer vision in medical
image processing. Due to the close location and high similarity of different organs in medical …

The incorporation of the mobile crowd in visual sensing provides a significant opportunity to
explore and understand uncharted physical places. We investigate the gains and losses of …

Surveillance cameras have been extensively used in smart cities and high security zones.
However, with the exploding deployment of smart cameras, the rapid growth of cloud …