Xiaolu Hui

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 14 citations into it

Whom Xiaolu Hui trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Alex Krizhevsky
7. Jia Deng
8. Yoshua Bengio
9. Jimmy Ba
10. Ross B. Girshick

Papers from Xiaolu Hui's perspective

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

Their papers

• Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition (2019) — 356 citations