Ke Cheng

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 111 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Biomedical Engineering — 41 citations into it
• Artificial Intelligence — 31 citations into it
• Model Architectures — 17 citations into it

Whom Ke Cheng trusts overall

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

1. Jun Liu
2. Lei Shi
3. Amir Shahroudy
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Kaiming He
7. Christian Szegedy
8. Yoshua Bengio
9. Ilya Sutskever
10. Ross B. Girshick

Who trusts Ke Cheng overall

1. Yisheng Song
2. Yuxin Chen
3. Hyung-gun Chi
4. Wenjie Zhu
5. Zhan Chen
6. Xingjiao Wu
7. Zehua Sun
8. Zhang Zhang
9. Ziqi Zhang

Papers from Ke Cheng's perspective

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

Their papers

• Skeleton-Based Action Recognition With Shift Graph Convolutional Network (2020) — 845 citations
• Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition (2020) — 338 citations