Demo Data from SIGIR 2026 / reviewers in the wild / expert
Zarina Myles
dblp:43/2804
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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 |
Image and video processing · 62% Multimedia analysis and retrieval · 38% | |
| Artificial intelligence
1 paper |
3D vision · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval › image analysis › image blur analysis
defocus blur estimation |
0.0 | 1 | 1998 | Recovering Affine Motion and Defocus Blur Simultaneously · IEEE Trans. Pattern Anal. Mach. Intell. 1998 |
Image and video processing
image restoration |
0.0 | 1 | 1998 | Recovering Affine Motion and Defocus Blur Simultaneously · IEEE Trans. Pattern Anal. Mach. Intell. 1998 |
Computer vision › 3D vision
depth estimation |
0.0 | 1 | 1996 | Recovering Affine Motion and Defocus Blur Simultaneously · CVPR 1996 |
Computer vision › 3D vision
motion estimation |
0.0 | 1 | 1996 | Recovering Affine Motion and Defocus Blur Simultaneously · CVPR 1996 |
Image and video processing › motion estimation
affine motion estimation |
0.0 | 1 | 1998 | Recovering Affine Motion and Defocus Blur Simultaneously · IEEE Trans. Pattern Anal. Mach. Intell. 1998 |
Image and video processing
motion analysis |
0.0 | 1 | 1998 | Recovering Affine Motion and Defocus Blur Simultaneously · IEEE Trans. Pattern Anal. Mach. Intell. 1998 |
Methods — techniques the papers use, named apart from their topics
image formation modeling · 0.0defocus blur modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Recovering Affine Motion and Defocus Blur SimultaneouslyabstractMotion in depth and/or zooming cause defocus blur. We show how the defocus blur in an image can be recovered simultaneously with affine motion. We introduce the theory, develop a solution method and demonstrate the validity of the theory and the solution by conducting experiments with real scenery. Zarina Myles, Niels da Vitoria Lobo |
IEEE Trans. Pattern Anal. Mach. Intell. | 1 |
| 1996 | Recovering Affine Motion and Defocus Blur SimultaneouslyabstractThere are at least two situations in practical computer vision where displacement of a point in an image is accompanied by a defocus blur. The first is when a camera of limited autofocal capability moves in depth, and the second is when a limited autofocal camera zooms. Motion and zooming are two popular strategies for acquiring more detail or for acquiring depth. The defocus blur has been considered noise or at best been ignored. However, the defocus blur is in itself a cue to depth, and hence we proceed to show how it can be calculated simultaneously with affine motion. We first introduce the theory, then develop a solution method and finally demonstrate the validity of the theory and the solution by conducting experiments with real scenery. Zarina Myles, Niels da Vitoria Lobo |
CVPR | 1 |