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GMP 2025: Geometric Modeling and Processing

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截稿日期:
2024-12-09
通知日期:
2025-04-14
会议日期:
2025-05-28
会议地点:
St. Louis, Missouri, USA
届数:
19
CCF: C   ICORE: C   QUALIS: B2   浏览: 59911   关注: 22   参加: 7

会伴指数 (CP-I)

59.2 / 100
全站第 626 名 / 共 5,687 个会议 · 前 11%

计算机图形学与多媒体 第 31 / 151

学术认可 (35%)
68
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
81
社区关注 (10%)
41
资料公开度 (15%)
35

用到的输入: 收录等级：CCF C, ICORE C, QUALIS B2 · 有据可查的届次：19 · 在会伴关注它的研究者：22 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-25

征稿

GMP 2025 (Geometric Modeling and Processing) is a CCF C / ICORE C / QUALIS B2 conference held in St. Louis, Missouri, USA on 2025-05-28. The paper submission deadline is 2024-12-09. Acceptance notifications are sent on 2025-04-14.

GMP is an annual international conference series on geometric modeling, simulation, and computing. The modeling and processing of geometric data is fundamental to many computer applications, including computer graphics, computer vision, CAD/CAM, medical imaging, engineering analysis, robotics, additive manufacturing, and scientific computing. The GMP conference series provides researchers and practitioners with a forum for exchanging new ideas, discussing new applications, and presenting new solutions. GMP is one of the three flagship conferences held by ASIAGRAPHICS. GMP 2025 will be held in-person on the beautiful campus of Washington University in St. Louis. The meeting venue will be located in the McKelvey School of Engineering. The previous GMP conferences were held in Qingdao (2024), Genova (2023), online (2020-2022), Vancouver (2019), Aachen (2018), Xiamen (2017), and San Antonio (2016), etc., with great success. GMP 2025 will take place in St. Louis, USA, from May 28 to 30, 2025. The organizers of GMP 2025 invite submissions of full-length papers on topics including, but not limited, to: Computational design, manufacturing and 3D printing Computational geometry and topology Discrete differential geometry Geometric content generation Geometric feature modeling and recognition Geometric learning/data-driven approaches Isogeometric analysis Image based modeling Material modeling Mathematical foundations of computer aided geometric design Multi-resolution and heterogeneous modeling Shape and solid representation Shape optimization
由 Dou Sun 最后更新于

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