EDBT 2026 Demo / reviewers in the wild / expert
Mikhail Skopenkov
dblp:43/10532
· DBLP profile ↗
4ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0003-2453-0009ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 4 · 1 first-author · 2 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.
| Computer graphics and multimedia
1 paper |
Rendering · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering › sampling
low-discrepancy sequences |
0.7 | 1 | 2023 | Analysis and Synthesis of Digital Dyadic Sequences · ACM Trans. Graph. 2023 |
Rendering
sampling |
0.7 | 1 | 2023 | Analysis and Synthesis of Digital Dyadic Sequences · ACM Trans. Graph. 2023 |
Methods — techniques the papers use, named apart from their topics
self-similar sequences · 0.7matrix-generated nets · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Unlocking Euclidean problems with isotropic initialization
Khusrav Yorov, Bolun Wang, Mikhail Skopenkov, Helmut Pottmann, Caigui Jiang |
Comput. Aided Geom. Des. | 3 |
| 2023 | Analysis and Synthesis of Digital Dyadic SequencesabstractWe explore the space of matrix-generated (0, m , 2)-nets and (0, 2)-sequences in base 2, also known as digital dyadic nets and sequences. In computer graphics, they are arguably leading the competition for use in rendering. We provide a complete characterization of the design space and count the possible number of constructions with and without considering possible reorderings of the point set. Based on this analysis, we then show that every digital dyadic net can be reordered into a sequence, together with a corresponding algorithm. Finally, we present a novel family of self-similar digital dyadic sequences, to be named ξ -sequences, that spans a subspace with fewer degrees of freedom. Those ξ -sequences are extremely efficient to sample and compute, and we demonstrate their advantages over the classic Sobol (0, 2)-sequence. Abdalla G. M. Ahmed, Mikhail Skopenkov, Markus Hadwiger, Peter Wonka |
ACM Trans. Graph. | 2 |
| 2020 | Characterizing envelopes of moving rotational cones and applications in CNC machining
Mikhail Skopenkov, Pengbo Bo, Michael Barton 0002, Helmut Pottmann |
Comput. Aided Geom. Des. | 1 |
| 2012 | Darboux cyclides and webs from circles
Helmut Pottmann, Mikhail Skopenkov |
Comput. Aided Geom. Des. | 3 |