Demo Data from SIGIR 2026 / reviewers in the wild / expert
Toru Matsuoka
dblp:122/6387
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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 · 100% | |
| Computer graphics and multimedia
1 paper |
Rendering · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
3d object detection |
0.4 | 1 | 2020 | Monocular Differentiable Rendering for Self-supervised 3D Object Detection · ECCV (21) 2020 |
Computer vision › 3D vision › 3d object detection › label-efficient 3d object detection
self-supervised 3d object detection |
0.4 | 1 | 2020 | Monocular Differentiable Rendering for Self-supervised 3D Object Detection · ECCV (21) 2020 |
Rendering
differentiable rendering |
0.4 | 1 | 2020 | Monocular Differentiable Rendering for Self-supervised 3D Object Detection · ECCV (21) 2020 |
Methods — techniques the papers use, named apart from their topics
self-supervised learning · 0.9differentiable rendering · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Monocular Differentiable Rendering for Self-supervised 3D Object Detection
Deniz Beker, Hiroharu Kato, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon |
ECCV (21) | 5 |