Dong Lao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 229 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 27 citations into it
• Radiology, Nuclear Medicine and Imaging — 9 citations into it

Whom Dong Lao trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Andrew Zisserman
6. Ross B. Girshick
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Judy Hoffman

Papers from Dong Lao's perspective

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

Their papers

• Phase Consistent Ecological Domain Adaptation (2020) — 130 citations