Rémi Emonet

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #17,517 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 17 citations into it

Whom Rémi Emonet trusts overall

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

1. Kaiming He
2. Evan Shelhamer
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Jia Deng
6. Karen Simonyan
7. Ross B. Girshick
8. X. Zhang
9. Fisher Yu
10. Yann LeCun

Who trusts Rémi Emonet overall

1. Simon Niklaus
2. Feng Liu
3. Xiaohong Liu

Papers from Rémi Emonet's perspective

Ordered by how strongly the researchers Rémi Emonet 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. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Residual Conv-Deconv Grid Network for Semantic Segmentation (2017) — 238 citations