Munyoung Kim

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #10,277 of 21,575 by trust here, #3,166 by citations
• Generative Models — 26 citations into it; #987 of 1,956 by trust here, #346 by citations
• Artificial Intelligence — 5 citations into it

Whom Munyoung Kim trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Ming-Yu Liu
5. Alex Krizhevsky
6. Yann LeCun
7. Yoshua Bengio
8. Jimmy Ba
9. Ilya Sutskever
10. Ross B. Girshick

Who trusts Munyoung Kim overall

1. Robin Rombach
2. Zhun Zhong
3. Liang Zheng
4. Ming-Yu Liu

Papers from Munyoung Kim's perspective

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

Their papers

• StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation (2017) — 3,914 citations