Kanghan Oh

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 234 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 15 citations into it
• Safety, Robustness & Interpretability — 15 citations into it

Whom Kanghan Oh trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Alex Krizhevsky
6. Yann LeCun
7. Matthew D. Zeiler
8. Yoshua Bengio
9. Jia Deng
10. Christian Szegedy

Who trusts Kanghan Oh overall

1. Dong Wang
2. Sayna Ebrahimi

Papers from Kanghan Oh's perspective

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

Their papers

• Regional Multi-Scale Approach for Visually Pleasing Explanations of Deep Neural Networks (2018) — 29 citations