Liming Zhu

Computer Vision and Pattern Recognition · with Bednarz · 2021

A researcher in the Science corpus: 1 paper; trusts 118 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Generative Models — 22 citations into it
• Artificial Intelligence — 8 citations into it

Whom Liming Zhu trusts overall

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

1. Jun-Yan Zhu
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Ian J. Goodfellow
8. Yann LeCun
9. Ilya Sutskever
10. Phillip Isola

Papers from Liming Zhu's perspective

Ordered by how strongly the researchers Liming 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends (2021) — 143 citations