Dong Wook Ko

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 199 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Artificial Intelligence — 9 citations into it
• Aerospace Engineering — 7 citations into it

Whom Dong Wook Ko trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. David Eigen
7. Yoshua Bengio
8. Rob Fergus
9. Yann LeCun
10. Karen Simonyan

Papers from Dong Wook Ko's perspective

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

Their papers

• From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation (2019) — 812 citations