EDBT 2026 Demo / reviewers in the wild / expert
Reuben MV John
dblp:413/7758
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—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 · 69% Generative modeling · 21% Efficient and distributed learning · 10% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Autonomous driving › trajectory prediction
long-tail trajectory prediction |
0.9 | 1 | 2025 | Generative Active Learning for Long-Tail Trajectory Prediction via Controllable Diffusion Model · ICCV 2025 |
Robotics › Autonomous driving
trajectory prediction |
0.9 | 1 | 2025 | Generative Active Learning for Long-Tail Trajectory Prediction via Controllable Diffusion Model · ICCV 2025 |
Machine learning › Efficient and distributed learning
active learning |
0.3 | 1 | 2025 | Generative Active Learning for Long-Tail Trajectory Prediction via Controllable Diffusion Model · ICCV 2025 |
Machine learning › Generative modeling › diffusion model
controllable generation |
0.3 | 1 | 2025 | Generative Active Learning for Long-Tail Trajectory Prediction via Controllable Diffusion Model · ICCV 2025 |
Machine learning › Generative modeling
diffusion model |
0.3 | 1 | 2025 | Generative Active Learning for Long-Tail Trajectory Prediction via Controllable Diffusion Model · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
diffusion model · 0.9active learning · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Generative Active Learning for Long-Tail Trajectory Prediction via Controllable Diffusion Model
Daehee Park 0001, Monu Surana, Pranav Desai, Ashish Mehta, Reuben MV John, Kuk-Jin Yoon |
ICCV | 5 |