Li Zhu

Computer Vision and Pattern Recognition · with Tao · 2019

A researcher in the Science corpus: 1 paper; trusts 181 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 21 citations into it

Whom Li Zhu trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Tsung-Yi Lin
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Piotr Doll'ar
8. Karen Simonyan
9. Andrew Zisserman
10. Jia Deng

Who trusts Li Zhu overall

1. Kemal Oksuz
2. Xiang-Yang Li

Papers from Li Zhu's perspective

Ordered by how strongly the researchers Li Zhu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• IoU-uniform R-CNN: Breaking Through the Limitations of RPN (2019) — 58 citations