It is becoming increasingly prevalent in digital learning research to encompass an array of
different meanings, spaces, processes, and teaching strategies for discerning a global …

Although there are methods of artificial intelligence (AI) applied to virtual reality (VR)
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …

Over the past decades, unmanned aerial vehicles (UAVs) have been widely used in both
military and civilian fields. In these applications, flocking motion is a fundamental but crucial …

In this paper, we present a dynamic convolution kernel (DCK) strategy for convolutional
neural networks. Using a fully convolutional network with the proposed DCKs, high-quality …

The ability to interpret multimodal data, and map the targets and anomalies within, is
important for an automatic recognition system. Due to the expensive and time-consuming …

Quality assessment, which evaluates the visual quality level of multimedia experiences, has
garnered significant attention from researchers and has evolved substantially through …

One of the most important aesthetic concepts in autonomous Unmanned Aerial Vehicle
(UAV) cinematography is the UAV/Camera Motion Type (CMT), describing the desired UAV …

Imitation of human behaviors is one of the effective ways to develop artificial intelligence.
Human dancers, standing in front of a mirror, always achieve autonomous aesthetics …

In the tasks of image aesthetic quality assessment, it is difficult to reach both the high score
area and low score area due to the normal distribution of aesthetic datasets. To reduce the …

Nowadays, almost everyone can shoot photos using smart phones. However, not everyone
can take good photos. We propose to use computational aesthetics to automatically teach …