Yi-Chun Kuo

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 123 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 21 citations into it

Whom Yi-Chun Kuo trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Karen Simonyan
6. Ross B. Girshick
7. Ilya Sutskever
8. Andrew Zisserman
9. Yoshua Bengio
10. Yann LeCun

Papers from Yi-Chun Kuo's perspective

Ordered by how strongly the researchers Yi-Chun Kuo 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
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. Going deeper with convolutions

Their papers

• Referring Image Segmentation via Recurrent Refinement Networks (2018) — 294 citations