Chris Xiaoxuan Lu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom Chris Xiaoxuan Lu trusts overall

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

1. Robert K. Harle
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Agata Brajdic
5. Nitish Srivastava
6. Jimmy Ba
7. Alex Graves
8. Alex Krizhevsky
9. Klaus Greff
10. Stefan Leutenegger

Papers from Chris Xiaoxuan Lu's perspective

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

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

Their papers

• IONet: Learning to Cure the Curse of Drift in Inertial Odometry (2018) — 383 citations