Demo Data from SIGIR 2026 / reviewers in the wild / expert
Arul Asirvatham
dblp:70/2016
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
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 |
Geometric modeling and processing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › shape correspondence
inter-surface mapping |
0.0 | 1 | 2004 | Inter-surface mapping · ACM Trans. Graph. 2004 |
Geometric modeling and processing
surface mapping |
0.0 | 1 | 2004 | Inter-surface mapping · ACM Trans. Graph. 2004 |
Geometric modeling and processing
surface parameterization |
0.0 | 1 | 2004 | Inter-surface mapping · ACM Trans. Graph. 2004 |
Methods — techniques the papers use, named apart from their topics
symmetric distortion metric · 0.0coarse-to-fine refinement · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Inter-surface mappingabstractWe consider the problem of creating a map between two arbitrary triangle meshes. Whereas previous approaches compose parametrizations over a simpler intermediate domain, we directly create and optimize a continuous map between the meshes. Map distortion is measured with a new symmetric metric, and is minimized during interleaved coarse-to-fine refinement of both meshes. By explicitly favoring low inter-surface distortion, we obtain maps that naturally align corresponding shape elements. Typically, the user need only specify a handful of feature correspondences for initial registration, and even these constraints can be removed during optimization. Our method robustly satisfies hard constraints if desired. Inter-surface mapping is shown using geometric and attribute morphs. Our general framework can also be applied to parametrize surfaces onto simplicial domains, such as coarse meshes (for semi-regular remeshing), and octahedron and toroidal domains (for geometry image remeshing). In these settings, we obtain better parametrizations than with previous specialized techniques, thanks to our fine-grain optimization. John Schreiner, Arul Asirvatham, Emil Praun, Hugues Hoppe |
ACM Trans. Graph. | 2 |