Hyeonwoo Kang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 221 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #14,772 of 21,575 by trust here, #15,529 by citations
• Generative Models — 22 citations into it; #1,394 of 1,956 by trust here, #1,601 by citations
• Artificial Intelligence — 6 citations into it

Whom Hyeonwoo Kang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Christian Szegedy
6. Jimmy Ba
7. Yoshua Bengio
8. Xun Huang
9. Yann LeCun
10. Ming-Yu Liu

Who trusts Hyeonwoo Kang overall

1. Li Luo
2. Yang Zhao
3. Jiaxian Guo
4. Lei Huang
5. Yimin Jiang
6. Guoxian Song

Papers from Hyeonwoo Kang's perspective

Ordered by how strongly the researchers Hyeonwoo Kang 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. Going deeper with convolutions

Their papers

• U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (2019) — 641 citations