Yoon-Jae Yeo

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Generative Models — 14 citations into it

Whom Yoon-Jae Yeo trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Alexei A. Efros
4. Kaiming He
5. Ilya Sutskever
6. Diederik P. Kingma
7. Individualized Treat
8. Yoshua Bengio
9. Yann LeCun
10. Sepp Hochreiter

Papers from Yoon-Jae Yeo's perspective

Ordered by how strongly the researchers Yoon-Jae Yeo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. GENERATIVE ADVERSARIAL NETS
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• PEPSI++: Fast and Lightweight Network for Image Inpainting (2019) — 109 citations