François Lauze

Computer Vision and Pattern Recognition · 2013

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

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it; #20,243 of 21,575 by trust here, #7,852 by citations

Whom François Lauze trusts overall

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

1. Yann LeCun

Who trusts François Lauze overall

1. Mohammad Mustafa Taye

Papers from François Lauze's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Best practices for convolutional neural networks applied to visual document analysis
5. 3D Convolutional Neural Networks for Human Action Recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Flexible, High Performance Convolutional Neural Networks for Image Classification

Their papers

• Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network (2013) — 604 citations