Yong-Goo Shin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 239 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it
• Generative Models — 24 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Graphics and Computer-Aided Design — 9 citations into it
• Optimization & Training — 7 citations into it
• Media Technology — 6 citations into it

Whom Yong-Goo Shin trusts overall

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

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

Who trusts Yong-Goo Shin overall

1. Omar ElHarrouss
2. Noor Almaadeed

Papers from Yong-Goo Shin's perspective

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

Their papers

• PEPSI : Fast Image Inpainting With Parallel Decoding Network (2019) — 123 citations
• PEPSI++: Fast and Lightweight Network for Image Inpainting (2019) — 109 citations