Developing effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …

Arguably the most representative application of artificial intelligence, autonomous driving
systems usually rely on computer vision techniques to detect the situations of the external …

Data science (DS) devotes to extract useful data from noisy one to form actionable insights. It
has broad applications in many domains such as internet search, tourism and social media …

Video moderation, which refers to remove deviant or explicit content from e-commerce
livestreams, has become prevalent owing to social and engaging features. However, this …

Planning an ideal tour schedule is a tedious process, where the attractions to visit and the
order of visits need to be carefully determined. In this paper, we propose a novel interactive …

We propose a user-centered visual explorer (UcVE) for progressive comparing multiple
visualization units in spatiotemporal space. We create unique unit visualization with the …

Abstract Model comparison is an important process to facilitate model diagnosis,
improvement, and selection when multiple models are developed for a classification task. It …

Numerous patterns found in urban phenomena, such as air pollution and human mobility,
can be characterized as many directed geospatial networks (geo-networks) that represent …

Capitalizing on the rapid development of diverse deep learning technologies in the field of
image analysis, studies are now being conducted to detect objects within images, estimate …

With the continuous advancement of autonomous driving technology, visual analysis
techniques have emerged as a prominent research topic. The data generated by …