Shih-Wei Liao

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; #20,856 of 21,575 by trust here, #18,782 by citations
• Generative Models — 19 citations into it; #1,903 of 1,956 by trust here, #1,796 by citations

Whom Shih-Wei Liao 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

Who trusts Shih-Wei Liao overall

1. Luisa Verdoliva

Papers from Shih-Wei Liao's perspective

Ordered by how strongly the researchers Shih-Wei Liao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. GENERATIVE ADVERSARIAL NETS
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

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