Guy Farjon

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Plant Science — 8 citations into it

Whom Guy Farjon trusts overall

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

1. F. Dennis
2. Karen Simonyan
3. Shaoqing Ren
4. Suchet Bargoti
5. Jia Deng
6. Andrew Zisserman
7. Kaiming He
8. Ross B. Girshick
9. Alex Krizhevsky
10. Inkyu Sa

Papers from Guy Farjon's perspective

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

Their papers

• Detection and counting of flowers on apple trees for better chemical thinning decisions (2019) — 114 citations