Ruizhe Zhao

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 381 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Artificial Intelligence — 31 citations into it
• Efficiency & Compression — 25 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 6 citations into it

Whom Ruizhe Zhao trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Yann LeCun
7. X. Zhang
8. Andrew Zisserman
9. Yoshua Bengio
10. Zhuang Liu

Papers from Ruizhe Zhao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Efficient Structured Pruning and Architecture Searching for Group Convolution (2018) — 20 citations