Dongwook Lee

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Radiology, Nuclear Medicine and Imaging — 12 citations into it
• Optimization & Training — 5 citations into it

Whom Dongwook Lee trusts overall

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

1. Paul J. Werbos
2. Xavier Glorot
3. Andrea Vedaldi
4. Individualized Treat
5. Michael Lustig
6. Yoshua Bengio
7. Heinz H. Bauschke
8. Alex Krizhevsky
9. Kaiming He
10. Olaf Ronneberger

Papers from Dongwook Lee's perspective

Ordered by how strongly the researchers Dongwook Lee 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. ImageNet: A large-scale hierarchical image database
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks (2018) — 321 citations