Dohoon Ryu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 83 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 — 20 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Dohoon Ryu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yang Song
5. Kaiming He
6. Yoshua Bengio
7. B.D.O. Anderson
8. Jia Deng
9. Yann LeCun
10. Phillip Isola

Papers from Dohoon Ryu's perspective

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

Their papers

• Improving Diffusion Models for Inverse Problems using Manifold Constraints (2022) — 698 citations