Hao Zhu

Computer Vision and Pattern Recognition · with He · 2020

A researcher in the Science corpus: 1 paper; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Signal Processing — 44 citations into it
• Artificial Intelligence — 29 citations into it
• Multimodal Learning — 19 citations into it
• Generative Models — 8 citations into it
• Speech & Audio — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Hao Zhu trusts overall

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

1. Andrew Zisserman
2. Joon Son Chung
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Kaiming He
7. Diederik P. Kingma
8. Yann LeCun
9. Sepp Hochreiter
10. J. Urgen Schmidhuber

Papers from Hao Zhu's perspective

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

Their papers

• Deep Audio-visual Learning: A Survey (2020) — 194 citations