David Schubert
Aerospace Engineering · 2018
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
- Aerospace Engineering — 13 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
Whom David Schubert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Timothy Furgale
- Michael Burri
- Tong Qin
- Andreas Geiger
- J. Rehder
- William P. Maddern
- Roland Yves Siegwart
- Jürgen Sturm
- Stefan Leutenegger
- Michael Bloesch
Who trusts David Schubert overall
Papers from David Schubert's perspective
Ordered by how strongly the researchers David Schubert trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Vision meets robotics: The KITTI dataset
- ImageNet classification with deep convolutional neural networks
- Keyframe-based visual–inertial odometry using nonlinear optimization
- A benchmark for the evaluation of RGB-D SLAM systems
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- The EuRoC micro aerial vehicle datasets (Int. J. Robotics Res.)
- Are we ready for autonomous driving? The KITTI vision benchmark suite
- Unified temporal and spatial calibration for multi-sensor systems (2013 IEEE/RSJ International Conference on Intelligent Robots and Systems)
- Distinctive Image Features from Scale-Invariant Keypoints
Their papers
- The TUM VI Benchmark for Evaluating Visual-Inertial Odometry (2018) — 479 citations