Xiangzuo Huo

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Artificial Intelligence — 26 citations into it
• Model Architectures — 20 citations into it

Whom Xiangzuo Huo trusts overall

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

1. Geoffrey E. Hinton
2. François Chollet
3. Kaiming He
4. Jimmy Ba
5. Alex Krizhevsky
6. Ross B. Girshick
7. Yoshua Bengio
8. Diederik P. Kingma
9. Yann LeCun
10. Karen Simonyan

Papers from Xiangzuo Huo's perspective

Ordered by how strongly the researchers Xiangzuo Huo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
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

• HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification (2022) — 352 citations