Weiping Zhu

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 120 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 10 citations into it

Whom Weiping Zhu trusts overall

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

1. Jerome H. Friedman
2. Pedro F. Felzenszwalb
3. Andrew Zisserman
4. Geoffrey E. Hinton
5. Yann LeCun
6. Alex Krizhevsky
7. Antonio Torralba
8. Kaiming He
9. Evan Shelhamer
10. Ross B. Girshick

Papers from Weiping Zhu's perspective

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

Their papers

• Multi-scale context for scene labeling via flexible segmentation graph (2016) — 59 citations