Shengyong Ding

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #8,841 of 21,575 by trust here, #8,612 by citations
• Artificial Intelligence — 6 citations into it
• Biomedical Engineering — 6 citations into it; #2,455 of 10,734 by trust here, #4,052 by citations

Whom Shengyong Ding trusts overall

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

1. Rui Zhao
2. Xiaogang Wang
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Wanli Ouyang
6. Douglas T. Gray
7. Ilya Sutskever
8. Shaogang Gong
9. Kaiming He
10. Yoshua Bengio

Who trusts Shengyong Ding overall

1. Liang Zheng
2. Tong Xiao
3. Chi Su
4. Zhedong Zheng
5. Waqas Sultani
6. Alexander Hermans
7. Weihua Chen
8. Mengyue Geng
9. Tien Dat Nguyen
10. Mahdi M. Kalayeh

Papers from Shengyong Ding's perspective

Ordered by how strongly the researchers Shengyong Ding 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. 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

• Deep feature learning with relative distance comparison for person re-identification (2015) — 686 citations