Lixin Liu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 19 citations into it
• Model Architectures — 8 citations into it

Whom Lixin Liu trusts overall

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

1. Kaiming He
2. Christian Szegedy
3. Weiyang Liu
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. X. Zhang

Who trusts Lixin Liu overall

1. Weiyang Liu

Papers from Lixin Liu's perspective

Ordered by how strongly the researchers Lixin Liu 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. Going deeper with convolutions
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Dropout: a simple way to prevent neural networks from overfitting
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning towards Minimum Hyperspherical Energy (2018) — 172 citations