Christian Bailer

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 181 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #11,189 of 21,575 by trust here, #13,269 by citations
• Aerospace Engineering — 13 citations into it

Whom Christian Bailer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David G. Lowe
2. Thomas Brox
3. Philippe Weinzaepfel
4. Jérôme Revaud
5. Geoffrey E. Hinton
6. Yann LeCun
7. Kaiming He
8. Andreas Geiger
9. Alex Krizhevsky
10. Yasutaka Furukawa

Who trusts Christian Bailer overall

1. Eddy Ilg
2. David Gadot
3. Lukas Prantl
4. Simon Niklaus
5. Stephan R. Richter
6. Shenlong Wang
7. Yi Zhu
8. Jamie Watson
9. René Schuster
10. Federico Perazzi

Papers from Christian Bailer's perspective

Ordered by how strongly the researchers Christian Bailer trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation (2015) — 224 citations
• CNN based Patch Matching for Optical Flow with Thresholded Hinge Loss (2016) — 24 citations