VIS30K: A Collection of Figures and Tables From IEEE Visualization Conference Publications.

Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Moller, Robert S Laramee, Han-Wei Shen, Katharina Wunsche, Qiru Wang

September 2021 IEEE Trans Vis Comput Graph

Synopsis of Social media discussions

The discussions reflect a neutral interest, noting the creation of the large dataset of figures and tables and its use of neural networks combined with manual curation. Words such as 'collection', 'dataset', and 'web tool' suggest a cautious appreciation for its utility, with some expressions hinting at its relevance for future visualization studies. The tone indicates recognition of the resource's importance without overly enthusiastic endorsements, emphasizing its methodological aspects and potential applications.

A
Agreement
 Neither agree nor disagree

The discussions show neutral to mildly positive attitudes toward the dataset and its potential utility, without strong disagreement or enthusiasm.

I
Interest
 Moderate level of interest

Participants display some curiosity and recognition of the dataset's importance, but overall interest remains moderate.

E
Engagement
 Moderate level of engagement

Posts reference the dataset and method but do not delve deeply into technical details or critical analysis.

I
Impact
 Moderate level of impact

While the dataset is acknowledged as valuable for visualization research, the discussions primarily highlight its potential rather than current transformative influence.

Social Mentions

YouTube

4 Videos

Twitter

9 Posts

Metrics

Video Views

318

Total Likes

13

Extended Reach

7,418

Social Features

13

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

VIS30K Dataset: 30 Years of Visualization Conference Figures and Tables

VIS30K Dataset: 30 Years of Visualization Conference Figures and Tables

This presentation supports a paper about the VIS30K dataset, which contains nearly 30,000 images from 30 years of IEEE Visualization conference papers, created with a semi-automated process for research and exploration. The dataset includes a web tool for searching and analyzing visualization research evolution.

Bob Laramee

October 26, 2021

101 views

VIS30K Dataset of Scientific Visualization Figures and Tables Overview

VIS30K Dataset of Scientific Visualization Figures and Tables Overview

This video supports the paper describing the VIS30K dataset, which includes nearly 30,000 images from IEEE Visualization conference papers over 30 years. It highlights the dataset creation process and the VISImageNavigator search tool.

Bob Laramee

September 17, 2021

95 views

Analysis of VIS30K Visualization Conference Figures Dataset and Tools

Analysis of VIS30K Visualization Conference Figures Dataset and Tools

This 2-minute presentation summarizes the VIS30K dataset containing nearly 30,000 figures and tables from IEEE Visualization papers spanning 30 years, created using neural networks and manual curation, with a web tool for exploration.

Anasuya Dutta

March 15, 2024

83 views

VIS30K Dataset: Extracting Scientific Visualization Figures from IEEE Papers

VIS30K Dataset: Extracting Scientific Visualization Figures from IEEE Papers

This video summarizes the VIS30K dataset, which includes nearly 30,000 images of figures and tables from IEEE Visualization conference papers. It highlights the semi-automated extraction process and the Web-based VISImageNavigator tool for exploring visualization research.

Xinyu Liu

March 14, 2025

41 views

  • IEEE R2 Vitality
    @IeeeR2 (Twitter)

    VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications Tobias Isenberg - VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications - https://t.co/m7pikHcz9L #ieeer2 https://t.co/pZrPAmb9r3
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    February 19, 2021

  • arXiv CS-GR
    @arxiv_csgr (Twitter)

    VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications https://t.co/EZ1QPpMLi0
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    January 12, 2021

  • arXiv CS-GR
    @arxiv_csgr (Twitter)

    VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications https://t.co/EZ1QPpMLi0
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    January 11, 2021

  • arXiv reaDer bot (cs-CV)
    @arXiv_reaDer (Twitter)

    VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications VIS30K：IEEE Visualization ConferencePublicationsの図と表のコレクション 2021-01-11T11:50:39+00:00 arXiv: https://t.co/vFAP6J9X2i 英/日サマリ↓ https://t.co/pp7uoKga24
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    January 11, 2021

  • arXiv CS-GR
    @arxiv_csgr (Twitter)

    VIS30K: A Collection of Figures and Tables from {IEEE} Visualization Conference Publications https://t.co/EZ1QPpMLi0
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    January 7, 2021

  • arXiv CS-GR
    @arxiv_csgr (Twitter)

    VIS30K: A Collection of Figures and Tables from {IEEE} Visualization Conference Publications https://t.co/EZ1QPq4m9y
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    January 7, 2021

  • arXiv reaDer bot (cs-CV)
    @arXiv_reaDer (Twitter)

    VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications VIS30K：IEEE Visualization ConferencePublicationsの図と表のコレクション 2021-01-06T03:05:49+00:00 arXiv: https://t.co/VOVZ1n0N0Y 英/日サマリ↓ https://t.co/qm0gtiwY0n
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    January 6, 2021

  • arXiv CS-GR
    @arxiv_csgr (Twitter)

    VIS30K: A Collection of Figures and Tables from {IEEE} Visualization Conference Publications https://t.co/EZ1QPpMLi0
    view full post

    January 6, 2021

  • 午後のarXiv
    @arxivml (Twitter)

    "VIS30K: A Collection of Figures and Tables from {IEEE} Visualization Conference Publications", Jian Chen, Meng Lin… https://t.co/3J0t0erz2L
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    January 5, 2021

    2

Abstract Synopsis

  • The VIS30K dataset contains nearly 30,000 images of figures and tables from 30 years of IEEE Visualization conference papers, covering various topics in scientific visualization.
  • The dataset was created using a semi-automated process that combines neural networks and manual curation to ensure high-quality extraction of images, helping researchers study the evolution and development of visualization research.
  • Additionally, the project includes a web tool called VISImageNavigator, which allows users to search and explore the dataset by different criteria like author, keywords, title, abstract, and publication year.]