Demo Data from SIGIR 2026 / reviewers in the wild / expert
Warren Vu
dblp:315/4613
· DBLP profile ↗
1ranked-venue papers
0as 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 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 |
Autonomous driving · 77% Generative modeling · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Autonomous driving
trajectory prediction |
0.6 | 1 | 2022 | Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation · ECCV (22) 2022 |
Machine learning › Generative modeling › maximum likelihood learning
implicit maximum likelihood estimation |
0.2 | 1 | 2022 | Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation · ECCV (22) 2022 |
Methods — techniques the papers use, named apart from their topics
implicit maximum likelihood estimation · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
Abduallah A. Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny 0001, Christian G. Claudel |
ECCV (22) | 3 |