Ryan Layne

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 218 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #6,123 of 21,575 by trust here, #11,950 by citations
• Artificial Intelligence — 10 citations into it; #14,774 of 35,345 by trust here, #21,878 by citations

Whom Ryan Layne trusts overall

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

1. Douglas T. Gray
2. Christopher K. I. Williams
3. Chih-Jen Lin
4. Martin Hirzer
5. Geoffrey E. Hinton
6. Andrew Y. Ng
7. Alex Krizhevsky
8. Kaiming He
9. Piotr Doll'ar
10. Hai Tao

Who trusts Ryan Layne overall

1. Jingya Wang
2. Chi Su
3. Yutian Lin
4. Kimmo Kärkkäinen
5. Shaogang Gong
6. Xiatian Zhu
7. Kai Han
8. Tao A. Xiang
9. Liang Zheng
10. Yanwei Fu

Papers from Ryan Layne's perspective

Ordered by how strongly the researchers Ryan Layne 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Person Re-identification by Attributes (2012) — 344 citations
• Re-id: Hunting Attributes in the Wild (2014) — 71 citations