Demo Data from EDBT 2026 / reviewers in the wild / expert
Yi-Ruei Liu
dblp:391/2969
· 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 |
3D vision · 100% | |
| Computer graphics and multimedia
1 paper |
Rendering · 62% Geometric modeling and processing · 38% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
3d reconstruction |
0.9 | 1 | 2025 | SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes · CVPR 2025 |
Computer vision › 3D vision › 3d scene reconstruction
dynamic scene reconstruction |
0.9 | 1 | 2025 | SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes · CVPR 2025 |
Rendering
neural rendering |
0.9 | 1 | 2025 | SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes · CVPR 2025 |
Geometric modeling and processing › surface processing
surface normal estimation |
0.3 | 1 | 2025 | SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes · CVPR 2025 |
Geometric modeling and processing
surface reconstruction |
0.3 | 1 | 2025 | SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes · CVPR 2025 |
Methods — techniques the papers use, named apart from their topics
physically-based rendering · 1.7deformation field · 1.73d gaussian splatting · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | SpectroMotion: Dynamic 3D Reconstruction of Specular ScenesabstractWe present SpectroMotion, a novel approach that combines 3D Gaussian Splatting (3DGS) with physically-based rendering (PBR) and deformation fields to reconstruct dynamic specular scenes. Previous methods extending 3DGS to model dynamic scenes have struggled to represent specular surfaces accurately. Our method addresses this limitation by introducing a residual correction technique for accurate surface normal computation during deformation, complemented by a deformable environment map that adapts to time-varying lighting conditions. We implement a coarse-to-fine training strategy significantly enhancing scene geometry and specular color prediction. It is the only existing 3DGS method capable of synthesizing photorealistic real-world dynamic specular scenes, outperforming state-of-the-art methods in rendering complex, dynamic, and specular scenes. Please see our project page at cdfan0627.github.io/spectromotion. Cheng-De Fan, Chen-Wei Chang, Yi-Ruei Liu, Jie-Ying Lee, Jiun-Long Huang, Yu-Chee Tseng, Yu-Lun Liu 0001 |
CVPR | 3 |