EDBT 2026 Demo / reviewers in the wild / expert
Shengyang Wu
dblp:122/0071
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 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 |
Segmentation and scene understanding · 75% Transfer learning and domain adaptation · 25% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Segmentation and scene understanding › image segmentation › scene segmentation
panoramic segmentation |
0.9 | 1 | 2025 | OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation · ICCV 2025 |
Computer vision › Segmentation and scene understanding › semantic segmentation › geometry-aware semantic segmentation
panoramic semantic segmentation |
0.9 | 1 | 2025 | OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation · ICCV 2025 |
Computer vision › Segmentation and scene understanding
semantic segmentation |
0.9 | 1 | 2025 | OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation · ICCV 2025 |
Machine learning › Transfer learning and domain adaptation › domain adaptation
unsupervised domain adaptation |
0.9 | 1 | 2025 | OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
segment anything model · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
Ding Zhong, Xu Zheng 0002, Chenfei Liao, Yuanhuiyi Lyu, Jialei Chen 0001, Shengyang Wu, Linfeng Zhang 0001, Xuming Hu |
ICCV | 6 |
| 2025 | Efficient generation of power system topology diagrams based on Graph Neural Network
Shengyang Wu, Dongyuan Shi |
Eng. Appl. Artif. Intell. | 2 |