Linkai Luo

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 210 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 85 citations into it
• Artificial Intelligence — 52 citations into it
• Efficiency & Compression — 37 citations into it
• Model Architectures — 22 citations into it
• Optimization & Training — 10 citations into it

Whom Linkai Luo trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Ilya Sutskever
6. X. Zhang
7. Ross B. Girshick
8. Yann LeCun
9. Sergey Zagoruyko
10. Diederik P. Kingma

Papers from Linkai Luo's perspective

Ordered by how strongly the researchers Linkai Luo 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. Going deeper with convolutions
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
• Training convolutional neural networks with cheap convolutions and online distillation (2019) — 15 citations