Changyeon Yoon

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Generative Models — 22 citations into it
• Artificial Intelligence — 7 citations into it

Whom Changyeon Yoon trusts overall

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

1. Tero Karras
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Rameen Abdal
5. Yujun Shen
6. Yoshua Bengio
7. Yann LeCun
8. Alex Krizhevsky
9. Kaiming He
10. Samuli Laine

Papers from Changyeon Yoon's perspective

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

Their papers

• Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs (2021) — 35 citations