Yazhou Yao

Computer Vision and Pattern Recognition · with Wang · 2024

A researcher in the Science corpus: 1 paper; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 16 citations into it
• Model Architectures — 7 citations into it

Whom Yazhou Yao trusts overall

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

1. Kaiming He
2. Xue Yang
3. Ross B. Girshick
4. Karen Simonyan
5. Alex Krizhevsky
6. Geoffrey E. Hinton

Papers from Yazhou Yao's perspective

Ordered by how strongly the researchers Yazhou Yao 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: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Microsoft COCO: Common Objects in Context
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Poly Kernel Inception Network for Remote Sensing Detection (2024) — 464 citations