Ziyu Zhou

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 127 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Generative Models — 7 citations into it; #182 of 1,956 by trust here, #247 by citations

Whom Ziyu Zhou trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Individualized Treat
4. Ilya Sutskever
5. Nitish Srivastava

Who trusts Ziyu Zhou overall

1. Sagie Benaim
2. Xuanyi Dong
3. Hany Farid
4. Yi Yang
5. Chongyi Li
6. Lior Wolf
7. Yunjey Choi
8. Ming-Yu Liu
9. Luc Van Gool
10. Yuhua Chen

Papers from Ziyu Zhou's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. GENERATIVE ADVERSARIAL NETS
3. Dropout: a simple way to prevent neural networks from overfitting
4. Et al
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (2018)