Emmanuel de Bézenac

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 9 citations into it; #22,165 of 35,345 by trust here, #21,316 by citations
• Generative Models — 8 citations into it

Whom Emmanuel de Bézenac trusts overall

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

1. Geoffrey K. Vallis
2. Yannick Trémolet
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Chelsea Finn
6. Diederik P. Kingma
7. Kaiming He
8. Alex Krizhevsky
9. Yoshua Bengio
10. Yann LeCun

Who trusts Emmanuel de Bézenac overall

1. Vincent Le Guen
2. Mengyu Chu
3. Rui Wang
4. Sungyong Seo
5. Nils Thürey
6. Nicolas Thomé
7. Karthik Kashinath
8. Zichao Long

Papers from Emmanuel de Bézenac's perspective

Ordered by how strongly the researchers Emmanuel de Bézenac trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep learning for physical processes: incorporating prior scientific knowledge (2017) — 364 citations