Dominique Barbe

Computer Vision and Pattern Recognition · 2017

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

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Dominique Barbe trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan

Who trusts Dominique Barbe overall

1. David Stutz

Papers from Dominique Barbe's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. ImageNet Large Scale Visual Recognition Challenge
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Intriguing properties of neural networks
5. ImageNet classification with deep convolutional neural networks
6. Explaining and Harnessing Adversarial Examples
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality (2017) — 62 citations