Young-sik Shin
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 Young-sik Shin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Young-sik Shin's perspective
Ordered by how strongly the researchers Young-sik Shin 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