De Cheng

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 77 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #8,355 of 21,572 by trust here, #6,737 by citations
• Biomedical Engineering — 10 citations into it; #2,071 of 10,732 by trust here, #3,027 by citations

Whom De Cheng trusts overall

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

1. Xiaogang Wang
2. Rui Zhao
3. Ross B. Girshick
4. Wei Li
5. Alex Krizhevsky
6. Douglas T. Gray
7. Geoffrey E. Hinton
8. Pedro F. Felzenszwalb
9. Kaiming He
10. Kilian Q. Weinberger

Who trusts De Cheng overall

1. Liang Zheng
2. Zhedong Zheng
3. Xiatian Zhu
4. Rahul Rama Varior
5. Longhui Wei
6. Yi Yang
7. Mang Ye
8. Shiliang Zhang
9. Xingping Dong
10. Alexander Hermans

Papers from De Cheng's perspective

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

Their papers

• Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function (2016) — 1,326 citations