EDBT 2026 Demo / reviewers in the wild / expert
Levente Halmosi
dblp:350/0710
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0005-2375-2429ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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.
| Artificial intelligence
1 paper |
Segmentation and scene understanding · 67% Trustworthy machine learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › robustness
adversarial robustness |
0.8 | 1 | 2024 | Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off · ECCV (79) 2024 |
Computer vision › Segmentation and scene understanding › semantic segmentation
robust semantic segmentation |
0.8 | 1 | 2024 | Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off · ECCV (79) 2024 |
Computer vision › Segmentation and scene understanding
semantic segmentation |
0.8 | 1 | 2024 | Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off · ECCV (79) 2024 |
Methods — techniques the papers use, named apart from their topics
adversarial attack · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off
Levente Halmosi, Bálint Mohos, Márk Jelasity |
ECCV (79) | 1 |