Dae Young Park

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 358 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #11,380 of 21,575 by trust here, #17,757 by citations
• Generative Models — 12 citations into it; #1,050 of 1,956 by trust here, #1,748 by citations
• Computer Graphics and Computer-Aided Design — 7 citations into it

Whom Dae Young Park trusts overall

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

1. Diederik P. Kingma
2. Leon A. Gatys
3. Dmitry Ulyanov
4. Karen Simonyan
5. Chuan Li
6. Geoffrey E. Hinton
7. Kaiming He
8. Alex Krizhevsky
9. Andrea Vedaldi
10. Ross B. Girshick

Who trusts Dae Young Park overall

1. Patrick Esser
2. Xiaolei Wu
3. Yingying Deng
4. Songhua Liu
5. Robin Rombach
6. Pei Wang
7. Zhihao Hu
8. Fan Tang
9. Björn Ommer
10. Tianwei Lin

Papers from Dae Young Park's perspective

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

Their papers

• Arbitrary Style Transfer With Style-Attentional Networks (2018) — 495 citations