Demo Data from EDBT 2026 / reviewers in the wild / expert
Jack Luong
dblp:262/8300
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0003-4674-8578ORCID · 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 · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation
fracture simulation |
0.7 | 1 | 2023 | Breaking Good: Fracture Modes for Realtime Destruction · ACM Trans. Graph. 2023 |
Methods — techniques the papers use, named apart from their topics
modal analysis · 0.7eigenvalue problem · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Breaking Good: Fracture Modes for Realtime DestructionabstractDrawing a direct analogy with the well-studied vibration or elastic modes, we introduce an object’s fracture modes , which constitute its preferred or most natural ways of breaking. We formulate a sparsified eigenvalue problem, which we solve iteratively to obtain the n lowest-energy modes. These can be precomputed for a given shape to obtain a prefracture pattern that can substitute the state of the art for realtime applications at no runtime cost but significantly greater realism. Furthermore, any realtime impact can be projected onto our modes to obtain impact-dependent fracture patterns without the need for any online crack propagation simulation. We not only introduce this theoretically novel concept, but also show its fundamental and practical advantages in a diverse set of examples and contexts. Silvia Sellán, Jack Luong, Leticia Mattos Da Silva, Aravind Ramakrishnan, Alec Jacobson |
ACM Trans. Graph. | 2 |