Po-Wei Wu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #20,854 of 21,575 by trust here, #18,782 by citations
• Generative Models — 19 citations into it; #1,901 of 1,956 by trust here, #1,796 by citations

Whom Po-Wei Wu trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Tero Karras
6. Yoshua Bengio
7. Individualized Treat
8. Jimmy Ba
9. Karen Simonyan
10. Yann LeCun

Who trusts Po-Wei Wu overall

1. Jiaolong Yang
2. Diego Gragnaniello
3. Luisa Verdoliva
4. Yunfan Liu
5. Ying Fu
6. Francesco Marra
7. Qi Li

Papers from Po-Wei Wu's perspective

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

Their papers

• RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes (2019) — 160 citations