Hui Li

Computer Vision and Pattern Recognition · with Shen · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 394 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it; #10,143 of 21,575 by trust here, #12,172 by citations
• Natural Language Processing — 13 citations into it
• Artificial Intelligence — 12 citations into it
• Media Technology — 11 citations into it; #1,420 of 3,621 by trust here, #2,033 by citations
• Model Architectures — 7 citations into it

Whom Hui Li trusts overall

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

1. Karen Simonyan
2. Diederik P. Kingma
3. Ross B. Girshick
4. Andrew Zisserman
5. Max Jaderberg
6. Baoguang Shi
7. Yoshua Bengio
8. Geoffrey E. Hinton
9. Kaiming He
10. Ilya Sutskever

Who trusts Hui Li overall

1. Pengyuan Lyu
2. Shangbang Long
3. Jing Wang
4. Cong Yao
5. Yipeng Sun
6. Xuebo Liu
7. Minghui Liao
8. Xiaoyu Yue
9. Hao Wang
10. Yuliang Liu

Papers from Hui Li's perspective

Ordered by how strongly the researchers Hui Li 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks (2017) — 216 citations
• Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition (2018) — 448 citations