Data is a critical asset in AI, as high-quality datasets can significant...
Chinese geographic re-ranking task aims to find the most relevant addres...
The 5G networks have extensively promoted the growth of mobile users and...
Icicles and sunbursts are two commonly-used visual representations of tr...
Differential privacy (DP), as a rigorous mathematical definition quantif...
Graph data is used in a wide range of applications, while analyzing grap...
The recent release of ChatGPT has garnered widespread recognition for it...
Glyph-based visualization is one of the main techniques for visualizing
...
Semantic scene completion (SSC) aims to complete a partial 3D scene and
...
In many applications, machine learned (ML) models are required to hold s...
This paper introduces design patterns for dashboards to inform their des...
We report on an ongoing collaboration between epidemiological modellers ...
Sign language recognition and translation first uses a recognition modul...
Grounded theory (GT) is a research methodology that entails a systematic...
Deep learning methods are notoriously data-hungry, which requires a larg...
Music mood classification has been a challenging problem in comparison w...
Graph is an important data representation ubiquitously existing in the r...
In machine learning workflows, determining invariance qualities of a mod...
In the process of developing an infrastructure for providing visualizati...
Federated learning (FL) brings collaborative intelligence into industrie...
Many mission-critical applications of machine learning (ML) in the real-...
This arXiv report provides a short introduction to the information-theor...
The right to be forgotten states that a data subject has the right to er...
Information theory can be used to analyze the cost-benefit of visualizat...
Many visual representations, such as volume-rendered images and metro ma...
This paper tackles the problem of novel view synthesis (NVS) from 2D ima...
It is always a challenging problem to deliver a huge volume of videos ov...
Recently, Chen and Sbert proposed a general divergence measure. This rep...
Detecting the changes of buildings in urban environments is essential.
E...
Medical imaging is a form of technology that has revolutionized the medi...
Visualization guidelines, if defined properly, are invaluable to both
pr...
Visualization is a useful technology in health science, and especially f...
In each of the last five years, a few dozen empirical studies appeared i...
Many computer science disciplines (e.g., combinatorial optimization, nat...
The right to be forgotten states that a data owner has the right to eras...
Information theory can be used to analyze the cost-benefit of visualizat...
In this paper, we present a visual analytics tool for enabling
hypothesi...
We present FlowNet3D++, a deep scene flow estimation network. Inspired b...
This archiving article consists of several short reports on the discussi...
With the development of Internet of Things (IoT) and communication
techn...
In this article we revisit the concept of abstraction as it is used in
v...
Empirical studies form an integral part of visualization research. Not o...
From a traditional point of view, the value of information does not chan...
Emotion recognition plays an important role in human-computer interactio...
There are a lot of hidden dangers in the change of human skin conditions...
Limited by the computational capabilities and battery energy of terminal...
Current artificial intelligence (AI) technology is mainly used in ration...
Although deep reinforcement learning has achieved great success recently...
In human computer interaction (HCI), it is common to evaluate the value ...
Robot understanding of human intentions is essential for fluid human-rob...