Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas Saunders
dblp:129/8564
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, 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 |
3D vision · 100% | |
| Computer graphics and multimedia
1 paper |
Computer animation and physical simulation · 77% Geometric modeling and processing · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
shape from shading |
0.2 | 1 | 2013 | Water Surface Modeling from a Single Viewpoint Video · IEEE Trans. Vis. Comput. Graph. 2013 |
Computer vision › 3D vision › 3d reconstruction › surface reconstruction
water surface reconstruction |
0.2 | 1 | 2013 | Water Surface Modeling from a Single Viewpoint Video · IEEE Trans. Vis. Comput. Graph. 2013 |
Computer animation and physical simulation
fluid simulation |
0.2 | 1 | 2013 | Water Surface Modeling from a Single Viewpoint Video · IEEE Trans. Vis. Comput. Graph. 2013 |
Geometric modeling and processing
surface reconstruction |
0.0 | 1 | 2013 | Water Surface Modeling from a Single Viewpoint Video · IEEE Trans. Vis. Comput. Graph. 2013 |
Methods — techniques the papers use, named apart from their topics
shape-from-shading · 0.3shallow water model · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Water Surface Modeling from a Single Viewpoint VideoabstractWe introduce a video-based approach for producing water surface models. Recent advances in this field output high-quality results but require dedicated capturing devices and only work in limited conditions. In contrast, our method achieves a good tradeoff between the visual quality and the production cost: It automatically produces a visually plausible animation using a single viewpoint video as the input. Our approach is based on two discoveries: first, shape from shading (SFS) is adequate to capture the appearance and dynamic behavior of the example water; second, shallow water model can be used to estimate a velocity field that produces complex surface dynamics. We will provide qualitative evaluation of our method and demonstrate its good performance across a wide range of scenes. Chuan Li 0001, David Pickup, Thomas Saunders, Darren Cosker, David Marshall 0001, Peter Hall 0001, Philip J. Willis |
IEEE Trans. Vis. Comput. Graph. | 3 |