Xiaodan Hu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 25 citations into it
• Model Architectures — 9 citations into it

Whom Xiaodan Hu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Yann LeCun
7. Liang-Chieh Chen
8. Andrew Zisserman
9. X. Zhang
10. Yoshua Bengio

Papers from Xiaodan Hu's perspective

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

Their papers

• Squeeze-and-Attention Networks for Semantic Segmentation (2019) — 287 citations