Demo Data from SIGIR 2026 / reviewers in the wild / expert
Luke Kendall
dblp:138/3458
· 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.
| Computer graphics and multimedia
1 paper |
Rendering · 44% Geometric modeling and processing · 44% Image and video processing · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
boundary element method |
0.2 | 1 | 2013 | Biharmonic diffusion curve images from boundary elements · ACM Trans. Graph. 2013 |
Image and video processing › image resampling › image rescaling
image upsampling |
0.0 | 1 | 2013 | Biharmonic diffusion curve images from boundary elements · ACM Trans. Graph. 2013 |
Methods — techniques the papers use, named apart from their topics
line-by-line evaluation · 0.2boundary element method · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Biharmonic diffusion curve images from boundary elementsabstractThere is currently significant interest in freeform, curve-based authoring of graphic images. In particular, "diffusion curves" facilitate graphic image creation by allowing an image designer to specify naturalistic images by drawing curves and setting colour values along either side of those curves. Recently, extensions to diffusion curves based on the biharmonic equation have been proposed which provide smooth interpolation through specified colour values and allow image designers to specify colour gradient constraints at curves. We present a Boundary Element Method (BEM) for rendering diffusion curve images with smooth interpolation and gradient constraints, which generates a solved boundary element image representation. The diffusion curve image can be evaluated from the solved representation using a novel and efficient line-by-line approach. We also describe "curve-aware" upsampling, in which a full resolution diffusion curve image can be upsampled from a lower resolution image using formula evaluated orrections near curves. The BEM solved image representation is compact. It therefore offers advantages in scenarios where solved image representations are transmitted to devices for rendering and where PDE solving at the device is undesirable due to time or processing constraints. Peter W. M. Ilbery, Luke Kendall, Cyril Concolato, Michael McCosker |
ACM Trans. Graph. | 2 |