Aihua Zheng

Computer Vision and Pattern Recognition · 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 Aihua Zheng trusts overall

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

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

Papers from Aihua Zheng's perspective

Ordered by how strongly the researchers Aihua Zheng 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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