Jamie Sherrah

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 417 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 9 citations into it
• Media Technology — 6 citations into it; #302 of 3,621 by trust here, #1,423 by citations

Whom Jamie Sherrah trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Evan Shelhamer
4. Andrew Zisserman
5. Alex Krizhevsky
6. Keiller Nogueira
7. Kaiming He
8. Ross B. Girshick
9. Yann LeCun
10. Liang-Chieh Chen

Who trusts Jamie Sherrah overall

1. Michele Volpi
2. Devis Tuia
3. Diego Marcos
4. Yongyang Xu
5. Foivos I. Diakogiannis
6. Sudipan Saha
7. Xin-Yi Tong
8. Yingchao Feng
9. Dimitrios Marmanis
10. Xiaoxiang Zhu

Papers from Jamie Sherrah's perspective

Ordered by how strongly the researchers Jamie Sherrah 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. 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

• Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery (2016) — 397 citations