Hyoung-Ro Kim

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 14 citations into it
• Civil and Structural Engineering — 12 citations into it
• Model Architectures — 6 citations into it

Whom Hyoung-Ro Kim trusts overall

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

1. Vijay Badrinarayanan
2. Diederik P. Kingma
3. Karen Simonyan
4. Kaiming He
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Andrew Zisserman
8. Alex Kendall

Papers from Hyoung-Ro Kim's perspective

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

Their papers

• Encoder–decoder network for pixel‐level road crack detection in black‐box images (2019) — 382 citations