Che-Han Chang

Computer Vision and Pattern Recognition · with Chang · 2019

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #20,855 of 21,575 by trust here, #18,782 by citations
• Generative Models — 19 citations into it; #1,902 of 1,956 by trust here, #1,796 by citations

Whom Che-Han Chang trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Tero Karras
6. Yoshua Bengio
7. Jimmy Ba
8. Karen Simonyan
9. Individualized Treat
10. Yann LeCun

Who trusts Che-Han Chang overall

1. Luisa Verdoliva

Papers from Che-Han Chang's perspective

Ordered by how strongly the researchers Che-Han Chang 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes (2019) — 160 citations