Demo Data from VLDB 2026 / reviewers in the wild / expert
Vongani H. Maluleke
dblp:329/3682
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none
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 |
Trustworthy machine learning · 61% Generative modeling · 30% Face, body and person analysis · 9% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › fairness › fairness in generative models
bias in generative models |
0.6 | 1 | 2022 | Studying Bias in GANs Through the Lens of Race · ECCV (13) 2022 |
Machine learning › Trustworthy machine learning
fairness |
0.6 | 1 | 2022 | Studying Bias in GANs Through the Lens of Race · ECCV (13) 2022 |
Machine learning › Generative modeling
generative adversarial network |
0.6 | 1 | 2022 | Studying Bias in GANs Through the Lens of Race · ECCV (13) 2022 |
Methods — techniques the papers use, named apart from their topics
bias analysis · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Studying Bias in GANs Through the Lens of Race
Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory |
ECCV (13) | 1 |