Yann Henon

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it

Whom Yann Henon trusts

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

1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
2. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Yann Henon's perspective

Ordered by how strongly the researchers Yann Henon 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Face Recognition: Too Bias, or Not Too Bias? (2020) — 149 citations