EDBT 2026 Demo / reviewers in the wild / expert
Hai-Lun Lu
dblp:224/0321
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
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 |
Segmentation and scene understanding · 77% Representation and self-supervised learning · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Segmentation and scene understanding › object segmentation
human segmentation |
0.3 | 1 | 2018 | Leveraging Motion Priors in Videos for Improving Human Segmentation · ECCV (7) 2018 |
Machine learning › Representation and self-supervised learning
motion prior |
0.1 | 1 | 2018 | Leveraging Motion Priors in Videos for Improving Human Segmentation · ECCV (7) 2018 |
Methods — techniques the papers use, named apart from their topics
video segmentation · 0.3motion prior · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Leveraging Motion Priors in Videos for Improving Human Segmentation
Yuting Chen 0002, Wen-Yen Chang, Hai-Lun Lu, Tingfan Wu, Min Sun 0001 |
ECCV (7) | 3 |