Luyao Ye

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 22 citations into it
• Automotive Engineering — 19 citations into it
• Model Architectures — 8 citations into it

Whom Luyao Ye trusts overall

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

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

Papers from Luyao Ye's perspective

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

Their papers

• HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction (2022) — 486 citations