Feida Zhu

Computer Vision and Pattern Recognition · with Guan · 2020

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #15,654 of 21,572 by trust here, #13,815 by citations
• Generative Models — 20 citations into it; #1,488 of 1,956 by trust here, #1,485 by citations
• Artificial Intelligence — 10 citations into it

Whom Feida Zhu trusts overall

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

1. Diederik P. Kingma
2. Tero Karras
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yann LeCun
7. Yoshua Bengio
8. Ming-Yu Liu
9. Jimmy Ba
10. Jun-Yan Zhu

Who trusts Feida Zhu overall

1. Yuval Alaluf

Papers from Feida Zhu's perspective

Ordered by how strongly the researchers Feida 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. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Collaborative Learning for Faster StyleGAN Embedding (2020) — 111 citations