Pierre Wilmot

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #10,759 of 21,575 by trust here, #15,162 by citations

Whom Pierre Wilmot trusts overall

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

1. Soheil Darabi
2. Alex Krizhevsky
3. Eli Shechtman
4. Alexei A. Efros
5. Geoffrey E. Hinton
6. Kaiming He
7. Karen Simonyan
8. Ilya Sutskever
9. Connelly Barnes
10. Sergey Ioffe

Who trusts Pierre Wilmot overall

1. Dae Young Park
2. Nicholas I. Kolkin
3. Yujin Tang
4. Lu Sheng
5. Yingying Deng
6. Kwang Hee Lee
7. Jason Salavon
8. Yifan Peng
9. Ziyi Lin
10. Xun Huang

Papers from Pierre Wilmot's perspective

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

Their papers

• Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses (2017) — 261 citations