Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yoshitaka Onishi
dblp:98/1799
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 |
Robot manipulation · 77% Face, body and person analysis · 23% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Face, body and person analysis › face modeling
face shape modeling |
0.0 | 1 | 2006 | Development and Evaluation of Face Robot to Express Various Face Shape · ICRA 2006 |
Methods — techniques the papers use, named apart from their topics
morphing · 0.13-DOF drive units · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Development and Evaluation of Face Robot to Express Various Face ShapeabstractYour face is one of the most important factors in communicating with people. At present, the TV-phone, which can transmit face information, is becoming a part of modern life. In order to transfer more realistic face information, we propose the face shape robot WD-1 (Waseda-Docomo face robot No.1), which can express various face shapes by morphing an average mask (made of SEPTON) through 19 facial control-points. In this study, an average face mask is made in order to express a wide range of shapes with few control points. The position, number and movement range of the control-points are optimized. In addition, we introduce 3-DOFs drive units and control each control-point on a plane, not at a point. In order to evaluate the performance of WD-1, we measure the shape error between the faces of three subjects and the WD-1 equivalents. We elucidate the weaknesses of the current WD-1 implementation: a paucity of control points on the face line and wrinkling of the mask due to excessive local stress Kouki Hayashi, Yoshitaka Onishi, Kazuko Itoh, Hiroyasu Miwa, Atsuo Takanishi |
ICRA | 2 |