Christoph Stiller
Computer Vision and Pattern Recognition · 2009–2019
A researcher in the Science corpus: 9 papers; trusts 322 researchers and is trusted by 1,636 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 103 citations into it; #1,022 of 21,575 by trust here, #1,375 by citations
- Automotive Engineering — 39 citations into it; #1,451 of 3,081 by trust here, #627 by citations
- Aerospace Engineering — 32 citations into it; #113 of 6,421 by trust here, #134 by citations
- Artificial Intelligence — 24 citations into it
- Environmental Engineering — 11 citations into it; #4,159 of 5,479 by trust here, #611 by citations
- Electrical and Electronic Engineering — 5 citations into it
Whom Christoph Stiller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Geiger
- Geoffrey E. Hinton
- Radford M. Neal
- Sebastian Thrun
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Antonio Torralba
- Pedro F. Felzenszwalb
- Yoshua Bengio
Who trusts Christoph Stiller overall
- Andreas Geiger
- Ji Zhang
- Rahaf Aljundi
- Moritz Menze
- Chunhua Shen
- Jonas Wulff
- Joel Janai
- Sergey I. Nikolenko
- Raquel Urtasun
- Amir Rasouli
Papers from Christoph Stiller's perspective
Ordered by how strongly the researchers Christoph Stiller trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Vision meets robotics: The KITTI dataset (2013) — 10,594 citations
- 3D Traffic Scene Understanding From Movable Platforms (2014) — 417 citations
- StereoScan: Dense 3d reconstruction in real-time (2011) — 1,184 citations
- Trajectory planning for Bertha — A local, continuous method (2014) — 465 citations
- INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps (2019) — 610 citations
- Three Decades of Driver Assistance Systems: Review and Future Perspectives (2014) — 817 citations
- Making Bertha Drive—An Autonomous Journey on a Historic Route (2014) — 842 citations
- D Traffic Scene Understanding from Movable Platforms (2013)
- Segmentation of 3D lidar data in non-flat urban environments using a local convexity criterion (2009) — 332 citations