Meibin Qi

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 106 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #14,147 of 21,575 by trust here, #9,872 by citations
• Biomedical Engineering — 14 citations into it; #5,298 of 10,734 by trust here, #4,781 by citations
• Artificial Intelligence — 9 citations into it

Whom Meibin Qi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Shengcai Liao
4. Wei Li
5. Ilya Sutskever
6. Sepp Hochreiter
7. Xiaogang Wang
8. Yoshua Bengio
9. Kaiming He
10. Jia Deng

Who trusts Meibin Qi overall

1. Liang Zheng
2. Zhedong Zheng

Papers from Meibin Qi's perspective

Ordered by how strongly the researchers Meibin Qi 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. ImageNet: A large-scale hierarchical image database
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
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

• End-to-End Comparative Attention Networks for Person Re-Identification (2016) — 604 citations