Demo Data from SIGIR 2026 / reviewers in the wild / expert
Wenting Zeng
dblp:117/8479
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · unresolved
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 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › mesh deformation
laplacian deformation |
0.1 | 1 | 2012 | Enhancing the Symmetry and Proportion of 3D Face Geometry · IEEE Trans. Vis. Comput. Graph. 2012 |
Geometric modeling and processing
mesh deformation |
0.1 | 1 | 2012 | Enhancing the Symmetry and Proportion of 3D Face Geometry · IEEE Trans. Vis. Comput. Graph. 2012 |
Methods — techniques the papers use, named apart from their topics
nonlinear least squares · 0.1feature point optimization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Enhancing the Symmetry and Proportion of 3D Face GeometryabstractWe present an engine for enhancing the geometry of a 3D face mesh model while making the enhanced version share close similarity with the original. After obtaining the feature points of a given scanned 3D face model, we first perform a local and global symmetrization on the key facial features. We then apply an overall proportion optimization to the frontal face based on Neoclassical Canons and golden ratios. A nonlinear least-squares solution is adopted to adjust the feature points so that the face profile complies with the aesthetic criteria, which are derived from the profile cosmetology. Through the above processes, we obtain the optimized feature points, which will lead to a more attractive face. According to the original feature points and the optimized ones, we perform Laplacian deformation to adjust the remaining points of the face in order to preserve the geometric details. The analysis of user study in this paper validates the effectiveness of our 3D face geometry enhancement engine. Qiqi Liao, Xiaogang Jin 0001, Wenting Zeng |
IEEE Trans. Vis. Comput. Graph. | 3 |