Yu-Jing Lin

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; #20,857 of 21,575 by trust here, #18,782 by citations
• Generative Models — 19 citations into it; #1,904 of 1,956 by trust here, #1,796 by citations

Whom Yu-Jing Lin 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. Jimmy Ba
8. Individualized Treat
9. Karen Simonyan
10. Yann LeCun

Who trusts Yu-Jing Lin overall

1. Jiaolong Yang
2. Diego Gragnaniello
3. Luisa Verdoliva

Papers from Yu-Jing Lin's perspective

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

Their papers

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