Hang Wu

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Media Technology — 15 citations into it

Whom Hang Wu trusts overall

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

1. David G. Lowe
2. Karen Simonyan
3. Florent Perronnin
4. Alex Krizhevsky
5. Xiaojiang Peng
6. Geoffrey E. Hinton
7. Andrew Zisserman
8. Jorge Sánchez
9. Yi Yang
10. Tommi S. Jaakkola

Who trusts Hang Wu overall

1. Gong Cheng
2. Muhammad Ahmad
3. Junwei Han

Papers from Hang Wu's perspective

Ordered by how strongly the researchers Hang Wu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
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

• Hierarchical Coding Vectors for Scene Level Land-Use Classification (2016) — 52 citations