EDBT 2026 Demo / reviewers in the wild / expert
Seungkwan Lee
dblp:239/5201
· DBLP profile ↗
2ranked-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 · 2 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 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 |
Video understanding and tracking · 50% Deep learning architectures and training · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Video understanding and tracking
object tracking |
0.6 | 1 | 2022 | Towards Sequence-Level Training for Visual Tracking · ECCV (22) 2022 |
Machine learning › Deep learning architectures and training › sequence modeling
sequence-level training |
0.6 | 1 | 2022 | Towards Sequence-Level Training for Visual Tracking · ECCV (22) 2022 |
Methods — techniques the papers use, named apart from their topics
sequence-level training · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Towards Sequence-Level Training for Visual Tracking
Minji Kim 0002, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho |
ECCV (22) | 2 |
| 2018 | Universal Bounding Box Regression and Its Applications
Seungkwan Lee, Suha Kwak, Minsu Cho |
ACCV (6) | 1 |