EDBT 2026 Demo / reviewers in the wild / expert
Etienne von Lavante
dblp:60/4016
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorArtificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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.
| Artificial intelligence
1 paper |
Segmentation and scene understanding · 77% Graph learning · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Segmentation and scene understanding › 3d segmentation
shape segmentation |
0.1 | 1 | 2010 | Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer · ECCV (5) 2010 |
Machine learning › Graph learning › graph clustering
spectral clustering |
0.0 | 1 | 2010 | Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer · ECCV (5) 2010 |
Methods — techniques the papers use, named apart from their topics
probabilistic label transfer · 0.1constrained spectral clustering · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
Avinash Sharma 0001, Etienne von Lavante, Radu Horaud |
ECCV (5) | 2 |
| 2007 | Improving the Contrast of Breast Cancer Masses in Ultrasound Using an Autoregressive Model Based Filter
Etienne von Lavante, J. Alison Noble |
MICCAI (1) | 1 |