EDBT 2026 Demo / reviewers in the wild / expert
Arian Etemadi
dblp:314/6466
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0007-7124-7747ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Computer animation and physical simulation · 70% Geometric modeling and processing · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › mesh processing › surface mesh processing
non-manifold mesh processing |
0.8 | 1 | 2024 | Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes · ACM Trans. Graph. 2024 |
Computer animation and physical simulation › collision handling
self-intersection resolution |
0.8 | 1 | 2024 | Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes · ACM Trans. Graph. 2024 |
Computer animation and physical simulation › fluid simulation › free-surface flow
surface tracking |
0.8 | 1 | 2024 | Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes · ACM Trans. Graph. 2024 |
Methods — techniques the papers use, named apart from their topics
mesh-based surface tracking · 0.8level set method · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Multi-Material Mesh-Based Surface Tracking with Implicit Topology ChangesabstractWe introduce a multi-material non-manifold mesh-based surface tracking algorithm that converts self-intersections into topological changes. Our algorithm generalizes prior work on manifold surface tracking with topological changes: it preserves surface features like mesh-based methods, and it robustly handles topological changes like level set methods. Our method also offers improved efficiency and robustness over the state of the art. We demonstrate the effectiveness of the approach on a range of examples, including complex soap film simulations with thousands of interacting bubbles, and boolean unions of non-manifold meshes consisting of millions of triangles. Peter Heiss-Synak, Aleksei Kalinov, Malina Strugaru, Arian Etemadi, Huidong Yang, Christopher Wojtan |
ACM Trans. Graph. | 4 |