Min-Je Choi

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; #10,278 of 21,575 by trust here, #3,166 by citations
• Generative Models — 26 citations into it; #988 of 1,956 by trust here, #346 by citations
• Artificial Intelligence — 5 citations into it

Whom Min-Je Choi 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 Min-Je Choi overall

1. Robin Rombach
2. Zhun Zhong
3. Liang Zheng
4. Ming-Yu Liu
5. Garrett Wilson
6. Xun Huang
7. Jiaolong Yang
8. Yuezun Li
9. Aviv Gabbay
10. Yisroel Mirsky

Papers from Min-Je Choi's perspective

Ordered by how strongly the researchers Min-Je Choi 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. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
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