Lishan Qiao

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 16 citations into it
• Biomedical Engineering — 13 citations into it
• Human-Computer Interaction — 8 citations into it
• Model Architectures — 6 citations into it
• Signal Processing — 5 citations into it

Whom Lishan Qiao trusts overall

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

1. Kaiming He
2. Matthew D. Zeiler
3. Geoffrey E. Hinton
4. Ehsan Elhamifar
5. Ju Han
6. Deng Cai
7. Rob Fergus
8. Alex Krizhevsky
9. Shiqi Yu
10. X. Zhang

Papers from Lishan Qiao's perspective

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

Their papers

• Pattern Recognition (2018) — 537 citations