Fabien Reyal

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #19,382 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 17 citations into it; #31,554 of 35,345 by trust here, #25,809 by citations
• Biophysics — 12 citations into it

Whom Fabien Reyal trusts overall

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

1. Kaiming He
2. Fuyong Xing
3. Xavier Glorot
4. Alex Krizhevsky
5. Yoshua Bengio
6. Evan Shelhamer
7. Geoffrey E. Hinton
8. Ross B. Girshick
9. Tsung-Yi Lin
10. Dan Claudiu Ciresan

Who trusts Fabien Reyal overall

1. Simon Graham

Papers from Fabien Reyal's perspective

Ordered by how strongly the researchers Fabien Reyal 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Microsoft COCO: Common Objects in Context
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map (2019) — 666 citations