Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kwon Soon
dblp:435/3622
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.
| Artificial intelligence
1 paper |
3D vision · 67% Efficient and distributed learning · 33% |
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 |
0.9 | 1 | 2025 | Power of Cooperative Supervision: Multiple Teachers Framework for Advanced 3D Semi-Supervised Object Detection · ICCV 2025 |
Machine learning › Efficient and distributed learning › model compression
knowledge distillation |
0.9 | 1 | 2025 | Power of Cooperative Supervision: Multiple Teachers Framework for Advanced 3D Semi-Supervised Object Detection · ICCV 2025 |
Computer vision › 3D vision › 3d object detection › label-efficient 3d object detection
semi-supervised 3d object detection |
0.9 | 1 | 2025 | Power of Cooperative Supervision: Multiple Teachers Framework for Advanced 3D Semi-Supervised Object Detection · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
semi-supervised learning · 0.9cooperative supervision · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Power of Cooperative Supervision: Multiple Teachers Framework for Advanced 3D Semi-Supervised Object Detection
Jae-Keun Lee, Jeseok Kim, Kwon Soon |
ICCV | 4 |