Yan-Ting Liou

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 20 citations into it
• Generative Models — 11 citations into it
• Model Architectures — 6 citations into it

Whom Yan-Ting Liou trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Yann LeCun
7. Sergey Ioffe
8. Yoshua Bengio
9. Karen Simonyan
10. Christian Szegedy

Who trusts Yan-Ting Liou overall

1. Wilhelm Tranheden
2. Viktor Olsson
3. Umberto Michieli
4. Matteo Biasetton

Papers from Yan-Ting Liou's perspective

Ordered by how strongly the researchers Yan-Ting Liou 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. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Adversarial Learning for Semi-supervised Semantic Segmentation (2018) — 619 citations