Guangyu Zhong

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 157 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #16,462 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 12 citations into it
• Model Architectures — 12 citations into it

Whom Guangyu Zhong trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Andrew Zisserman
6. Ross B. Girshick
7. Yann LeCun
8. Yoshua Bengio
9. Evan Shelhamer
10. Diederik P. Kingma

Who trusts Guangyu Zhong overall

1. Xinjing Cheng

Papers from Guangyu Zhong's perspective

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

Their papers

• Learning Affinity via Spatial Propagation Networks (2017) — 318 citations