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GI'24 — Graphics Interface 2024
03. Jun 2024 - 06. Jun 2024 • Halifax, Nova Scotia, Kanada
Veranstalter:
Graphics Interface Conference Organization Team, Dalhousie University and partner Universities, Human Computer Interaction, Visualization, Graphics Cluster, Faculty of Computer Science
Zusammenfassung:
In 2024, GI is celebrating its 50th anniversary! The GI 2024 program will cover technical and fundamental contributions in both graphics and HCI. We seek submissions covering all aspects of graphics, HCI, and visualization. All paper submissions are rigorously peer-reviewed by at least three members of the international program committee.

With graphics and HCI having equal weights in the conference, Graphics Interface offers a unique venue for a meeting of minds working on computer graphics and interactive techniques. Browse the proceedings archive. Graphics Interface is sponsored by the Canadian Human-Computer Communications Society, a non-profit organization dedicated to advancing research and education in the fields of computer graphics, visualization and human-computer interaction.

International Conference, Peer-reviewed with at least 3 double-blind reviewers.

Call for Papers: https://graphicsinterface.org/conference/2024/cfp/

All accepted GI papers will be indexed in the ACM Digital Library and will be open access in the GI archive. The Michael A. J. Sweeney Award will be awarded at the conference to the best student papers in computer graphics and HCI. Additionally, authors of top papers will be invited to submit revised and extended versions to the journals IEEE Transactions on Visualization and Computer Graphics (TVCG) and Computers & Graphics.

Conference will be Hybrid

Kontakt:
Conference Committee https://graphicsinterface.org/conference/2024/committee/ Conference Chair: Dr. Derek Reilly, Dalhousie University;     Email: reilly [at] cs.dal.ca
Themen:
Human-Computer Interaction, Computer Science, Graphics, Graphics Research, Dalhousie University, Visualization, Peer-reviewed, International, Computing Machinery, Canadian Human Computer Communications Society, Double-blind Peer reviewed,
Eintrags-ID:
1593476


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