Zhengzhe Liu

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 247 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Generative Models — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Media Technology — 9 citations into it
• Model Architectures — 5 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Zhengzhe Liu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Ilya Sutskever
6. Leon A. Gatys
7. Karen Simonyan
8. Yoshua Bengio
9. Yann LeCun
10. Davis E. King

Who trusts Zhengzhe Liu overall

1. Nils Hulzebosch
2. Mingjian Zhu
3. Luisa Verdoliva
4. Sarah Ibrahimi

Papers from Zhengzhe Liu's perspective

Ordered by how strongly the researchers Zhengzhe Liu 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation (2018) — 409 citations
• Global Texture Enhancement for Fake Face Detection in the Wild (2020) — 450 citations