Demo Data from EDBT 2026 / reviewers in the wild / expert
M. Azaria
dblp:89/3634
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, 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 |
Rendering · 50% Image and video processing · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › low-level vision
derivative estimation |
0.0 | 1 | 1996 | The design of two-dimensional gradient estimators based on one-dimensional operators · IEEE Trans. Image Process. 1996 |
Rendering › differentiable rendering
gradient estimation |
0.0 | 1 | 1996 | The design of two-dimensional gradient estimators based on one-dimensional operators · IEEE Trans. Image Process. 1996 |
Methods — techniques the papers use, named apart from their topics
surface fitting · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | The design of two-dimensional gradient estimators based on one-dimensional operatorsabstractTwo-dimensional (2-D) gradient estimators are some of the most useful tools in image processing. A computational procedure for the extension of one-dimensional (1-D) gradient estimators to two dimensions (2-D) is presented. The procedure is equivalent to the surface fitting method. It is, however, simpler in design, as the design is 1-D rather than 2-D. Higher order derivative estimators can also be constructed by the same procedure. M. Azaria, Ilia Vitsnudel, Yehoshua Y. Zeevi |
IEEE Trans. Image Process. | 1 |