Ai4vis: Survey on artificial intelligence approaches for data visualization

A Wu, Y Wang, X Shu, D Moritz, W Cui… - … on Visualization and …, 2021 - ieeexplore.ieee.org
Visualizations themselves have become a data format. Akin to other data formats such as
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …

Doom or deliciousness: Challenges and opportunities for visualization in the age of generative models

V Schetinger, S Di Bartolomeo… - Computer Graphics …, 2023 - Wiley Online Library
Generative text‐to‐image models (as exemplified by DALL‐E, MidJourney, and Stable
Diffusion) have recently made enormous technological leaps, demonstrating impressive …

MANet: A multi-level aggregation network for semantic segmentation of high-resolution remote sensing images

B Chen, M Xia, M Qian, J Huang - International Journal of Remote …, 2022 - Taylor & Francis
With the continuous improvement of the segmentation effect for natural datasets, some
studies have gradually been applied to high-resolution remote sensing images (HRRSIs) …

KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation

H Li, Y Wang, S Zhang, Y Song… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Visualization recommendation or automatic visualization generation can significantly lower
the barriers for general users to rapidly create effective data visualizations, especially for …

A survey on ML4VIS: Applying machine learning advances to data visualization

Q Wang, Z Chen, Y Wang, H Qu - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Inspired by the great success of machine learning (ML), researchers have applied ML
techniques to visualizations to achieve a better design, development, and evaluation of …

[HTML][HTML] A survey on automatic infographics and visualization recommendations

S Zhu, G Sun, Q Jiang, M Zha, R Liang - Visual Informatics, 2020 - Elsevier
Automatic infographics generators employ machine learning algorithms/user-defined rules
and visual embellishments into the creation of infographics. It is an emerging topic in the …

Who do we mean when we talk about visualization novices?

A Burns, C Lee, R Chawla, E Peck… - Proceedings of the 2023 …, 2023 - dl.acm.org
As more people rely on visualization to inform their personal and collective decisions,
researchers have focused on a broader range of audiences, including “novices.” But …

MultiVision: Designing analytical dashboards with deep learning based recommendation

A Wu, Y Wang, M Zhou, X He, H Zhang… - … on Visualization and …, 2021 - ieeexplore.ieee.org
We contribute a deep-learning-based method that assists in designing analytical
dashboards for analyzing a data table. Given a data table, data workers usually need to …

VIS+ AI: integrating visualization with artificial intelligence for efficient data analysis

X Wang, Z Wu, W Huang, Y Wei, Z Huang, M Xu… - Frontiers of Computer …, 2023 - Springer
Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. On
one hand, visualization can facilitate humans in data understanding through intuitive visual …

[HTML][HTML] Generative ai for visualization: State of the art and future directions

Y Ye, J Hao, Y Hou, Z Wang, S Xiao, Y Luo, W Zeng - Visual Informatics, 2024 - Elsevier
Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …