Demo Data from EDBT 2026 / reviewers in the wild / expert
Stephen Cullingford
dblp:334/7527
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—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 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 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 |
Computer animation and physical simulation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation
facial animation |
0.6 | 1 | 2022 | Animatomy: an Animator-centric, Anatomically Inspired System for 3D Facial Modeling, Animation and Transfer · SIGGRAPH Asia 2022 |
Computer animation and physical simulation › facial animation
facial expression transfer |
0.6 | 1 | 2022 | Animatomy: an Animator-centric, Anatomically Inspired System for 3D Facial Modeling, Animation and Transfer · SIGGRAPH Asia 2022 |
Methods — techniques the papers use, named apart from their topics
performance capture · 0.6muscle fiber curve representation · 0.6deformation architecture · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Animatomy: an Animator-centric, Anatomically Inspired System for 3D Facial Modeling, Animation and TransferabstractWe present Animatomy, a novel anatomic+animator centric representation of the human face. Present FACS-based systems are plagued with problems of face muscle separation, coverage, opposition, and redundancy. We, therefore, propose a collection of muscle fiber curves as an anatomic basis, whose contraction and relaxation provide us with a fine-grained parameterization of human facial expression. We build an end-to-end modular deformation architecture using this representation that enables: automatic optimization of the parameters of a specific face from high-quality dynamic facial scans; face animation driven by performance capture, keyframes, or dynamic simulation; interactive and direct manipulation of facial expression; and animation transfer from an actor to a character. We validate our facial system by showing compelling animated results, applications, and a quantitative comparison of our facial reconstruction to ground truth performance capture. Our system is being intensively used by a large creative team on Avatar: The Way of Water. We report feedback from these users as qualitative evaluation of our system. Byungkuk Choi, Haekwang Eom, Benjamin Mouscadet, Stephen Cullingford, Wan-Duo Kurt Ma, Stefanie Gassel, Suzi Kim, Andrew Moffat, Millicent Maier, Marco Revelant, Joe Letteri, Karan Singh 0004 |
SIGGRAPH Asia | 4 |