Xiaotong Liu

Computer Vision and Pattern Recognition · 1 papers · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it

Whom Xiaotong Liu trusts overall

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

1. Kaiming He

Papers from Xiaotong Liu's perspective

Ordered by how strongly the researchers Xiaotong 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. ImageNet Large Scale Visual Recognition Challenge
8. Automatic differentiation in PyTorch
9. FaceNet: A unified embedding for face recognition and clustering
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Hard negative examples are hard, but useful (2020) — 157 citations