Demo Data from SIGIR 2026 / reviewers in the wild / expert
Eran Eilat
dblp:289/1180
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1
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.
| Artificial intelligence
1 paper |
3D vision · 67% Face, body and person analysis · 33% | |
| Human-computer interaction and pervasive computing
1 paper |
Wearable and physiological sensing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Face, body and person analysis
human pose estimation |
0.1 | 1 | 2009 | Markerless motion capture using a single depth sensor · SIGGRAPH ASIA Sketches 2009 |
Computer vision › 3D vision › motion capture › human motion capture
markerless motion capture |
0.1 | 1 | 2009 | Markerless motion capture using a single depth sensor · SIGGRAPH ASIA Sketches 2009 |
Computer vision › 3D vision
motion capture |
0.1 | 1 | 2009 | Markerless motion capture using a single depth sensor · SIGGRAPH ASIA Sketches 2009 |
Wearable and physiological sensing › optical sensing
depth sensing |
0.0 | 1 | 2009 | Markerless motion capture using a single depth sensor · SIGGRAPH ASIA Sketches 2009 |
Methods — techniques the papers use, named apart from their topics
multi-person detection · 0.2background noise removal · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Markerless motion capture using a single depth sensorabstractWe present a robust framework for tracking skeleton joints in real-time by using a single time-of-flight depth sensor. The framework is able to remove the background noise inherent in time-of-flight cameras, detect multiple people, and track up to 30 joints of free motion for each person. The approach has several advantages over traditional motion capture, as it is a cheap alternative to magnetic and optical systems, and requires no markers whatsoever. Unlike markerless systems based on RGB cameras [Duetscher et al. 2000; Kehl and Van Gool 2006], our framework yields dependable results at an interactive rate using a single camera. Amit Bleiweiss, Eran Eilat, Gershom Kutliroff |
SIGGRAPH ASIA Sketches | 2 |