Kaiyu Yue

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 233 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it; #17,508 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 38 citations into it
• Efficiency & Compression — 15 citations into it
• Model Architectures — 13 citations into it; #1,854 of 2,278 by trust here, #1,882 by citations
• Optimization & Training — 8 citations into it

Whom Kaiyu Yue trusts overall

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

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

Who trusts Kaiyu Yue overall

1. Yuhui Yuan
2. Jingdong Wang
3. Zhuoran Shen
4. Defang Chen
5. Xilin Chen
6. Yingwei Li
7. Kai Han
8. Jian-Ping Mei

Papers from Kaiyu Yue's perspective

Ordered by how strongly the researchers Kaiyu Yue 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Compact Generalized Non-local Network (2018) — 176 citations
• Matching Guided Distillation (2020) — 63 citations