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Mikhail Skopenkov

dblp:43/10532 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Rendering › sampling
low-discrepancy sequences
0.712023
Analysis and Synthesis of Digital Dyadic Sequences · ACM Trans. Graph. 2023
Rendering
sampling
0.712023
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
YearPublicationVenuePosition
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 Sequences
abstract
We 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