Xingming Wu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Building and Construction — 14 citations into it
• Transportation — 12 citations into it
• Artificial Intelligence — 8 citations into it
• Generative Models — 8 citations into it
• Media Technology — 7 citations into it
• Model Architectures — 6 citations into it

Whom Xingming Wu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Karen Simonyan
5. Yann LeCun
6. Kaiming He
7. Alex Krizhevsky
8. Andrew Zisserman
9. L. Eon Bottou
10. Simon Osindero

Papers from Xingming Wu's perspective

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

Their papers

• High-Quality Face Image SR Using Conditional Generative Adversarial Networks (2017) — 24 citations
• LSTM network: a deep learning approach for short-term traffic forecast (2017) — 1,716 citations