Pei Liu

Computer Vision and Pattern Recognition · with Hu · 2019

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 7 citations into it

Whom Pei Liu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Karen Simonyan
5. Abhishek Sharma
6. Ilya Sutskever
7. Allan Aasbjerg Nielsen
8. Vinod Nair
9. Andrew Zisserman
10. Yoshua Bengio

Papers from Pei Liu's perspective

Ordered by how strongly the researchers Pei Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Microsoft COCO: Common Objects in Context
9. ImageNet: A large-scale hierarchical image database
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• Scalable Deep Multimodal Learning for Cross-Modal Retrieval (2019) — 129 citations