Lu Pang

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 213 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 7 citations into it

Whom Lu Pang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Jeff Donahue
5. Christian Szegedy
6. Ross B. Girshick
7. Jia Deng
8. Yoshua Bengio
9. Yann LeCun
10. Karen Simonyan

Papers from Lu Pang's perspective

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

Their papers

• Deep Relative Distance Learning: Tell the Difference between Similar Vehicles (2016) — 738 citations
• Cross-Domain Adversarial Feature Learning for Sketch Re-identification (2018) — 75 citations