Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hanme Kim
dblp:157/3581
· DBLP profile ↗
3ranked-venue papers
2as 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 · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 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.
| Artificial intelligence
2 papers |
3D vision · 100% | |
| Computer graphics and multimedia
1 paper |
Computational photography and imaging · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
feature matching |
0.4 | 1 | 2020 | Neural Outlier Rejection for Self-Supervised Keypoint Learning · ICLR 2020 |
Computer vision › 3D vision › low-level vision › feature detection
keypoint detection |
0.4 | 1 | 2020 | Neural Outlier Rejection for Self-Supervised Keypoint Learning · ICLR 2020 |
Computer vision › 3D vision
outlier rejection |
0.4 | 1 | 2020 | Neural Outlier Rejection for Self-Supervised Keypoint Learning · ICLR 2020 |
Computer vision › 3D vision › low-level vision › feature detection
self-supervised keypoint learning |
0.4 | 1 | 2020 | Neural Outlier Rejection for Self-Supervised Keypoint Learning · ICLR 2020 |
Computer vision › 3D vision
3d reconstruction |
0.2 | 1 | 2016 | Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera · ECCV (6) 2016 |
Computer vision › 3D vision › pose estimation › pose tracking
6-dof tracking |
0.2 | 1 | 2016 | Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera · ECCV (6) 2016 |
Computational photography and imaging
event camera |
0.1 | 1 | 2016 | Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera · ECCV (6) 2016 |
Methods — techniques the papers use, named apart from their topics
event camera · 0.5self-supervised learning · 0.4neural network · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Neural Outlier Rejection for Self-Supervised Keypoint Learning
Jiexiong Tang, Hanme Kim, Vitor Campagnolo Guizilini, Sudeep Pillai, Rares Ambrus |
ICLR | 2 |
| 2016 | Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera
Hanme Kim, Stefan Leutenegger, Andrew J. Davison |
ECCV (6) | 1 |
| 2014 | Simultaneous Mosaicing and Tracking with an Event Camera
Hanme Kim, Ankur Handa, Ryad Benosman, Sio-Hoi Ieng, Andrew J. Davison |
BMVC | 1 |