Demo Data from EDBT 2026 / reviewers in the wild / expert
James J. Kuch
dblp:69/5679
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 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 |
Virtual and augmented reality · 77% Image and video coding · 23% | |
| Artificial intelligence
1 paper |
Face, body and person analysis · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › video compression
model-based coding |
0.0 | 1 | 1995 | Vision Based Hand Modeling and Tracking for Virtual Teleconferencing and Telecollaboration · ICCV 1995 |
Methods — techniques the papers use, named apart from their topics
single-camera fitting · 0.0model-based tracking · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Vision Based Hand Modeling and Tracking for Virtual Teleconferencing and TelecollaborationabstractThe authors present a hand model that simultaneously satisfies both the synthesis and analysis requirements of model based compression. The model can be fitted to any person's hand and can be done using a single camera. Once the model is fitted to a real human hand, it is then used in several tracking scenarios in order to verify its effectiveness. With successful tracking achieved, the model is ready to be incorporated into a virtual environment or model based compression scheme such as sign language communication over telephone lines or virtual teleconferences over computer networks at very low bit rates and at very high image quality.> James J. Kuch, Thomas S. Huang |
ICCV | 1 |