[image 05271] IEEE Pacific Visualization Conference ポスター発表募集

[伊藤正彦]

Image-MLの皆様

お世話になっております。
北海道情報大学の伊藤です。

可視化の代表的な国際会議の一つである IEEE Pacific Visualization Conferenceの ポスター発表募集の案内をお送りします。

　　日程：2024年4月23～26日
　　場所：慶応義塾大学三田キャンパス
　　https://pacificvis.github.io/pvis2024/

可視化に関する研究成果をお持ちの皆様の積極的な投稿をお待ちいたします。

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The PacificVis 2024 Poster Program welcomes all areas of visualization research, including
information visualization, scientific visualization, and visual analytics science and
technology. As we would like the authors to demonstrate novel and applicable ideas in all
aspects of visualization, posters on work in progress and practical applications are
welcome.

An interactive poster session will be held to allow plenty of opportunities for one-on-one
dialogue and small group discussion in a casual setting. The two-page summary of the
accepted posters will be included in the electronic conference proceedings.

https://pacificvis.github.io/pvis2024/cfp/poster/

IMPORTANT DEADLINES
- Poster Summary Submission Deadline:  February 9, 2024
- Poster Summary Notification: March 1, 2024

Submission:
      Original, unpublished posters of up to 2 pages (figures, tables, and references
included) are invited. Manuscripts should be prepared according to the guide for authors
given at https://tc.computer.org/vgtc/publications/conference/.
      The work should encompass a concise description of the background, problem statement,
research objectives and methodology, main findings, supporting tables or graphs, and a
discussion of the implications of the work. While comprehensive literature searches are
not expected, the inclusion of key and relevant citations is required.

Selection Process:
      Submissions undergo a juried selection process, offering lighter feedback without
author responses or conditional acceptances, and not necessitating the same level of
contribution as refereed content. Posters are subject to a single-blind review by
co-chairs, primarily evaluating abstracts and considering additional materials when
available.

Poster Chairs:
- Masahiko Itoh - Hokkaido Information University, Japan
- Nam Wook Kim - Boston College, USA
- Dongyu Liu - UC Davis, USA


-- 
　北海道情報大学　情報メディア学部　教授
    伊藤正彦
    imash ＠ do-johodai.ac.jp
    011-385-4411 (内線 325)