Laurent Heutte

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 47 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #9,689 of 21,575 by trust here, #8,612 by citations
• Artificial Intelligence — 20 citations into it; #15,071 of 35,345 by trust here, #12,387 by citations

Whom Laurent Heutte trusts overall

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

1. David G. Lowe
2. Yann LeCun
3. Alex Krizhevsky
4. Fabio Alexandre Spanhol
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Christopher Evans
8. Josef Kittler
9. Ilya Sutskever
10. L. Eon Bottou

Who trusts Laurent Heutte overall

1. Dalal Bardou
2. Fabio Alexandre Spanhol
3. Ghulam Murtaza

Papers from Laurent Heutte's perspective

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

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

Their papers

• A Dataset for Breast Cancer Histopathological Image Classification (2016) — 1,610 citations
• Deep features for breast cancer histopathological image classification (2017) — 296 citations
• Breast cancer histopathological image classification using Convolutional Neural Networks (2016) — 838 citations