Emmanuel Froustey

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #7,826 of 21,575 by trust here, #6,371 by citations
• Computational Mechanics — 13 citations into it
• Artificial Intelligence — 10 citations into it

Whom Emmanuel Froustey trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Alex Krizhevsky
4. Andrea Vedaldi
5. Geoffrey E. Hinton
6. Karol Gregor
7. Ross B. Girshick
8. Yoshua Bengio
9. Ilya Sutskever
10. Tom Goldstein

Who trusts Emmanuel Froustey overall

1. Jonas Adler
2. Yoseob Han
3. Jong Chul Ye
4. Ozan Öktem
5. Andreas Hauptmann
6. Sarah Jane Hamilton
7. Zhun Wei
8. Fangshu Yang
9. Michael T. McCann

Papers from Emmanuel Froustey's perspective

Ordered by how strongly the researchers Emmanuel Froustey 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 Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep Convolutional Neural Network for Inverse Problems in Imaging (2016) — 2,439 citations