VLDB 2026 Research / reviewers in the wild / expert
Dumitru Pavel
dblp:363/7410
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, 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.
| Artificial intelligence
1 paper |
3D vision · 67% Representation and self-supervised 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 › Representation and self-supervised learning
inductive biases |
0.8 | 1 | 2024 | RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields · ECCV (35) 2024 |
Computer vision › 3D vision › implicit neural representation
neural field |
0.8 | 1 | 2024 | RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields · ECCV (35) 2024 |
Computer vision › 3D vision
neural radiance field |
0.8 | 1 | 2024 | RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields · ECCV (35) 2024 |
Methods — techniques the papers use, named apart from their topics
neural radiance field · 0.8inductive biases · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields
Doriand Petit, Steve Bourgeois, Dumitru Pavel, Vincent Gay-Bellile, Florian Chabot, Loïc Barthe |
ECCV (35) | 3 |