Simon Meister

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 158 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #6,017 of 21,575 by trust here, #10,334 by citations
• Evaluation & Benchmarks — 7 citations into it
• Aerospace Engineering — 6 citations into it

Whom Simon Meister trusts overall

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

1. Andreas Geiger
2. Diederik P. Kingma
3. Thomas Brox
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Jimmy Ba
7. Alex Krizhevsky
8. Eddy Ilg
9. Alexey Dosovitskiy
10. Kaiming He

Who trusts Simon Meister overall

1. Haofei Xu
2. Alex Zihao Zhu
3. Longlong Jing
4. Zihang Lai
5. Junhwa Hur
6. C. Belthangady
7. X. Wang
8. Yuliang Zou
9. Lukas Prantl
10. Pengpeng Liu

Papers from Simon Meister's perspective

Ordered by how strongly the researchers Simon Meister 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss (2017) — 637 citations