Hyunchul Roh
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 10 citations into it
Whom Hyunchul Roh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hyunchul Roh's perspective
Ordered by how strongly the researchers Hyunchul Roh trusts endorse each paper. Same corpus, a different order for every researcher.
- Vision meets robotics: The KITTI dataset
- The Cityscapes Dataset for Semantic Urban Scene Understanding
- A Flexible New Technique for Camera Calibration
- Estimating uncertain spatial relationships in robotics
- iSAM: Incremental Smoothing and Mapping
- The ApolloScape Dataset for Autonomous Driving
- The EuRoC micro aerial vehicle datasets (Int. J. Robotics Res.)
- Ford Campus vision and lidar data set (Int. J. Robotics Res.)
- Generalized-ICP (Robotics: Science and Systems Conference)
- The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM (Int. J. Robotics Res.)
Their papers
- Complex urban dataset with multi-level sensors from highly diverse urban environments (2019) — 309 citations