Zhongyue Zhang

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 633 researchers and is trusted by 121 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 164 citations into it; #3,109 of 21,575 by trust here, #2,155 by citations
• Artificial Intelligence — 88 citations into it
• Model Architectures — 47 citations into it
• Optimization & Training — 29 citations into it
• Aerospace Engineering — 8 citations into it
• Media Technology — 5 citations into it

Whom Zhongyue Zhang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Karen Simonyan
7. Yoshua Bengio
8. Yann LeCun
9. Shaoqing Ren
10. Andrew Zisserman

Who trusts Zhongyue Zhang overall

1. Hugo Touvron
2. Irwan Bello
3. Qibin Hou
4. Yehao Li
5. Jun Fu
6. Meng-Hao Guo
7. Hang Zhang
8. Andrew Brock
9. Zhi-Li Zhang
10. Zizhao Zhang

Papers from Zhongyue Zhang's perspective

Ordered by how strongly the researchers Zhongyue Zhang 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Bag of Tricks for Image Classification with Convolutional Neural Networks (2018) — 1,617 citations
• Context Encoding for Semantic Segmentation (2018) — 1,368 citations
• ResNeSt: Split-Attention Networks (2020) — 1,747 citations
• Bag of Freebies for Training Object Detection Neural Networks (2019) — 203 citations