Paul Henderson

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 344 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #14,997 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 16 citations into it; #24,280 of 35,345 by trust here, #26,682 by citations

Whom Paul Henderson trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Andrew Zisserman
7. Mark Everingham
8. Yann LeCun
9. Kaiming He
10. Yoshua Bengio

Who trusts Paul Henderson overall

1. Kemal Oksuz
2. Jérôme Revaud
3. Kean Chen
4. Baris Can Cam
5. Jon Almazán
6. Xinlei Chen
7. Jianguo Li
8. Jan Hendrik Hosang
9. Yan Zhang
10. Sinan Kalkan

Papers from Paul Henderson's perspective

Ordered by how strongly the researchers Paul Henderson 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• End-to-End Training of Object Class Detectors for Mean Average Precision (2016) — 339 citations