Shixiang Wu

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it; #10,379 of 21,575 by trust here, #2,983 by citations
• Media Technology — 48 citations into it
• Generative Models — 16 citations into it; #1,095 of 1,956 by trust here, #535 by citations

Whom Shixiang Wu trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Christian Szegedy
4. Karen Simonyan
5. Sergey Ioffe
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Radu Timofte
9. Yann LeCun
10. Yoshua Bengio

Who trusts Shixiang Wu overall

1. Kai Zhang
2. Andreas Lugmayr
3. Jinjin Gu
4. Radu Timofte
5. Yochai Blau
6. Xintao Wang
7. Chao Dong
8. Weihao Xia
9. Saeed Anwar
10. Jingyun Liang

Papers from Shixiang Wu's perspective

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

Their papers

• ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks (2018) — 4,766 citations
• NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations