Demo Data from EDBT 2026 / reviewers in the wild / expert
Jungu Cho
dblp:402/9113
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Computer graphics and multimedia
1 paper |
Rendering · 67% Visual content generation and editing · 33% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
illumination |
1.0 | 1 | 2026 | RehearsalNeRF: Decoupling Intrinsic Neural Fields of Dynamic Illuminations for Scene Editing · Int. J. Comput. Vis. 2026 |
Rendering
neural radiance fields |
1.0 | 1 | 2026 | RehearsalNeRF: Decoupling Intrinsic Neural Fields of Dynamic Illuminations for Scene Editing · Int. J. Comput. Vis. 2026 |
Visual content generation and editing › scene authoring
scene editing |
1.0 | 1 | 2026 | RehearsalNeRF: Decoupling Intrinsic Neural Fields of Dynamic Illuminations for Scene Editing · Int. J. Comput. Vis. 2026 |
Methods — techniques the papers use, named apart from their topics
neural field · 1.0intrinsic decomposition · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | RehearsalNeRF: Decoupling Intrinsic Neural Fields of Dynamic Illuminations for Scene Editing
Changyeon Won, Jungu Cho, Seonmi Park, Hae-Gon Jeon |
Int. J. Comput. Vis. | 3 |