Introduction
JapanVis is a new international-domestic-hybrid symposium administered by Visualization Society of Japan, that solicits research contributionn in all areas of computer visualization such as information visualization, scientific visualization, visual analytics, and visualization applications.The first day of the symposium organizes international paper sessions in conjunction with Journal of Visualization (JoV).
* Administered by Visualization Society of Japan
Call for Papers
SCOPE
The scope of the international paper sessions follows the scope of Journal of Visualization. Submissions need to include an exhaustive survey of related work published by computer visualization journals and conferences.REVIEW PROCESS
Submissions of the international paper sessions are reviewed by the international program committee of the symposium. Excellent submissions are accepted as journal-track papers and will be published by Journal of Visualization after a quick review process. Other submissions are accepted as non-archival conference papers if they fit the scope of the symposium. Conference papers are strongly recommended to be submitted to Journal of Visualization after carefully revising according to review comments.SUBMISSION GUIDELINE
Submissions must follow the guideline of Journal of Visualization . The LaTeX template of Springer Nature is strongly recommended.NOTE: Though the guideline Web page describes "not exceeding 8 pages", the journal usually accepts papers that exceed 8 pages. Similarly, this symposium can accept papers that exceed 8 pages, but not exceeding 20 pages.
EasyChair is open for online submission:
https://easychair.org/my/conference?conf=japanvis2025
IMPORTANT DATES
Mar 15, 2025(AoE) Submission deadlineMay 5, 2025 Acceptance notification
May 25, 2025 Final manuscript submission
Program
1st day (July 3)
| 10:30 | Opening Keynote Talk (Hideki Koike) |
| 11:50 - 12:50 | Session 1 (Visualization meets AI) Chair: Liang Li (Ritsumeikan University) |
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A Light-Multimodal-Neural-Network for Tropical Cyclone Path Prediction with Single-Time-Step Xiaoxian Tian, Lu Yang, Chongke Bi and Ce Yu MSPT: A Framework of the Multi-Scale Patch Decomposition Transformer and Visual Analytics for Enhancing Time Series Forecasting Xianpeng Yuan, Yi Chen, Yufei Gao, Cheng Lv, Haomiao Wang, Qinghui Zhang and Yu Dong Visualization for Interactively Adjusting the De-bias Effect of Word Embedding Arisa Sugino and Takayuki Itoh |
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| 12:50 - 14:00 | Lunch |
| 14:00 - 15:20 | Session 2 (Human-Centric Visual Studies) Chair: Chongke Bi (Tianjin University) |
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Adaptive Visual Anchors in Data Videos: Guiding Attention through Visual Persistence Yongqing Chen, Jie Liang, Kaye Chan and Nina Errey Visualizing River Features in Athletes’ Landscape Drawings: A Big Five Personality Correlation Study Kyoko Okita, Satoshi Maeda and Chieko Kato Visualization System for Comparison of Harai Actions of Japanese Karuta Players Risa Kitagawa and Takayuki Itoh A Visual Analysis Tool for Checking Volleyball Serve Form Nao Torii and Takayuki Itoh |
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| 15:20 - 15:40 | Break |
| 15:40 - 17:00 | Session 3 (Visualization Techniques)
Chair: (TBD) |
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Visually Enriching and Comparing Runtime Performance of Visualization Pipelines Hagen Tarner, Patrick Gralka, Guido Reina, Fabian Beck and Steffen Frey Animated Transition between Node-Link and Parallel Coordinates Visualizations Abdulhaq Adetunji Salako, Hannes Hagen and Christian Tominski VisEPS: A Visual Explorer of Parameter Spaces for Networked Models Esteban Lanzarotti, Kresimir Matkovic, Ezequiel Pecker-Marcosig, Eduard Gröller and Rodrigo Castro Eyes in the Clouds: Spatial Data Analysis with Gaze-Enhanced Point Clouds Sergej Geringer, Laura Balangé, Michael Becher, Nelusa Pathmanathan, Gabriel Kerekes, Volker Schwieger, Daniel Weiskopf and Kuno Kurzhals |
2nd day (July 4)
Details are to be announced in Japanese page.Keynote talk
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Supporting Motor Skill Learning in Sports and Music through Advanced Motion Visualization Hideki Koike
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Acquiring correct motor postures is essential in mastering skills such as sports and musical instrument performance. In this context, explicitly visualizing the discrepancies between an expert and a learner enables the learner to identify and rectify those differences, thereby promoting more effective skill acquisition.
In this presentation, we introduce several skill acquisition support systems we have developed, along with the visualization techniques implemented in each system.
In the golf training system, we propose a method for synchronizing the temporally misaligned swing motions of the learner and the expert, projecting these onto the floor along with the trajectory of the golf club. Additionally, we present an approach that analyzes both movements within a latent space to pinpoint areas that require correction.
In the table tennis training system, we demonstrate that the application of “Time Distortion” - artificially decelerating the perceived passage of time within a virtual training environment - can enhance the efficiency of skill acquisition.
Finally, in the piano training system, we present a method that synchronizes the hand and finger postures of the learner and the expert using Temporal Cycle-Consistency learning, employs augmented reality for visualization, and further visualizes estimated muscle activity inferred solely from visual input.
Hideki Koike is a professor at School of Computing, Institute of Science Tokyo (formerly Tokyo Institute of Technology). He received his B.E., M.E., and Ph.D. degrees from the University of Tokyo in 1986, 1988, and 1991, respectively. He began his academic career at the University of Electro-Communications, Tokyo, where he served as Assistant Professor, Associated Professor, and Professor, Since 2014, he has been a Professor of Tokyo Institute of Technology since 2014. He has also held various visiting and governmental positions, including Visiting Scholar at the University of California, Berkeley; Visiting Researcher at the University of Sydney; and Cabinet Secretariat Officer for Information Security. His research interests are in the field of Human-Computer Interaction (HCI), with a particular focus on information visualization, vision-based HCI, projector-camera systems, and human augmentation. |





