Guanhang Wu

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 162 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #14,937 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 26 citations into it
• Graph Learning — 9 citations into it
• Model Architectures — 6 citations into it

Whom Guanhang Wu trusts overall

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

1. Karen Simonyan
2. David G. Lowe
3. Andrew Zisserman
4. Kaiming He
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Shaoqing Ren
8. Yoshua Bengio
9. Ilya Sutskever
10. Yann LeCun

Who trusts Guanhang Wu overall

1. Luca Ciampi
2. Vishwanath A. Sindagi
3. Corey Snyder
4. Carlos Santiago

Papers from Guanhang Wu's perspective

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

Their papers

• Adversarial Multiple Source Domain Adaptation (2018) — 619 citations
• Topology adaptive graph convolutional networks (2017) — 392 citations
• Understanding Traffic Density from Large-Scale Web Camera Data (2017) — 145 citations