Zhen Zuo

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 4 papers; trusts 533 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 117 citations into it; #10,308 of 21,575 by trust here, #10,334 by citations
• Artificial Intelligence — 48 citations into it
• Model Architectures — 20 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Signal Processing — 10 citations into it
• Aerospace Engineering — 9 citations into it
• Media Technology — 9 citations into it; #3,566 of 3,621 by trust here, #2,280 by citations
• Natural Language Processing — 8 citations into it

Whom Zhen Zuo trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yann LeCun
5. David G. Lowe
6. Ross B. Girshick
7. Ilya Sutskever
8. Alex Graves
9. Kaiming He
10. Antonio Torralba

Who trusts Zhen Zuo overall

1. Bing Shuai
2. Heng Fan
3. Hojjat Salehinejad
4. Alberto Garcia-Garcia
5. Fahad Lateef
6. G. Wang
7. Abrar H. Abdulnabi
8. Jia Wang
9. Qiuhong Ke
10. Haibin Ling

Papers from Zhen Zuo's perspective

Ordered by how strongly the researchers Zhen Zuo 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

• DAG-Recurrent Neural Networks for Scene Labeling (2015) — 153 citations
• Integrating parametric and non-parametric models for scene labeling (2015) — 53 citations
• Quaddirectional 2D-Recurrent Neural Networks For Image Labeling (2015) — 35 citations
• Exemplar based Deep Discriminative and Shareable Feature Learning for scene image classification (2015) — 69 citations