Guang-Yuan Hao

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 134 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #16,891 of 21,575 by trust here, #20,756 by citations
• Generative Models — 23 citations into it; #1,595 of 1,956 by trust here, #1,926 by citations
• Computer Graphics and Computer-Aided Design — 6 citations into it

Whom Guang-Yuan Hao trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ian J. Goodfellow
6. Jimmy Ba
7. Kaiming He
8. Yann LeCun
9. L. V. D. van der Maaten
10. Ilya Sutskever

Who trusts Guang-Yuan Hao overall

1. Tero Karras
2. Samuli Laine

Papers from Guang-Yuan Hao's perspective

Ordered by how strongly the researchers Guang-Yuan Hao 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. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• MIXGAN: Learning Concepts from Different Domains for Mixture Generation (2018) — 13 citations