Younghoon Cho

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Artificial Intelligence — 32 citations into it

Whom Younghoon Cho trusts overall

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

1. Geoffrey E. Hinton
2. Dan Claudiu Ciresan
3. Yann LeCun
4. Yoshua Bengio
5. Alex Krizhevsky
6. Lijuan Cao
7. Ilya Sutskever
8. Kaiming He
9. J. Urgen Schmidhuber

Papers from Younghoon Cho's perspective

Ordered by how strongly the researchers Younghoon Cho trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet Large Scale Visual Recognition Challenge
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Microsoft COCO: Common Objects in Context

Their papers

• Deep Learning in Medical Imaging: General Overview (2017) — 1,168 citations