Yongri Piao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 145 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #16,343 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 6 citations into it

Whom Yongri Piao trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. X. Zhang
5. Karen Simonyan
6. Deng-Ping Fan
7. Ross B. Girshick
8. Shaoqing Ren
9. Ming-Ming Cheng
10. Andrew Zisserman

Who trusts Yongri Piao overall

1. Deng-Ping Fan
2. Keren Fu
3. Zhengyi Liu
4. Nian Liu
5. Xiaoqi Zhao
6. Tao Zhou
7. Jing Zhang
8. Ling Shao
9. Yacheng Tan
10. Youwei Pang

Papers from Yongri Piao's perspective

Ordered by how strongly the researchers Yongri Piao 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection (2019) — 468 citations