Wenhan Wu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 305 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 156 citations into it
• Human-Computer Interaction — 36 citations into it
• Computational Mechanics — 22 citations into it
• Control and Systems Engineering — 13 citations into it

Whom Wenhan Wu trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Yann LeCun
6. Andrew Zisserman
7. Yoshua Bengio
8. Christian Szegedy
9. Diederik P. Kingma
10. Ilya Sutskever

Papers from Wenhan Wu's perspective

Ordered by how strongly the researchers Wenhan Wu 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Deep Learning-based Human Pose Estimation: A Survey (2020) — 975 citations