Shangshu Yu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 373 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 83 citations into it
• Computational Mechanics — 47 citations into it
• Geology — 45 citations into it
• Aerospace Engineering — 39 citations into it
• Environmental Engineering — 29 citations into it
• 3D Vision & Pose — 20 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Computer Graphics and Computer-Aided Design — 10 citations into it

Whom Shangshu Yu trusts overall

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

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

Papers from Shangshu Yu's perspective

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

Their papers

• Review: deep learning on 3D point clouds (2020) — 314 citations