Jianhua Zou

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 420 researchers and is trusted by 179 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #2,736 of 21,575 by trust here, #4,402 by citations
• Artificial Intelligence — 24 citations into it; #5,574 of 35,345 by trust here, #9,369 by citations
• Efficiency & Compression — 13 citations into it; #116 of 1,264 by trust here, #318 by citations
• Model Architectures — 11 citations into it
• Computational Mechanics — 5 citations into it; #5,230 of 10,001 by trust here, #1,929 by citations

Whom Jianhua Zou trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Karen Simonyan
6. Andrew Zisserman
7. Yann LeCun
8. Matthew D. Zeiler
9. Rob Fergus
10. Ilya Sutskever

Who trusts Jianhua Zou overall

1. Xuanyi Dong
2. Xiangyu Zhang
3. Yihui He
4. Jia-Nan Wu
5. Frederick Tung
6. Song Han
7. Jiaxiang Wu
8. Yi Yang
9. Jia Li
10. Mikhail Figurnov

Papers from Jianhua Zou's perspective

Ordered by how strongly the researchers Jianhua Zou 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. 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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Accelerating Very Deep Convolutional Networks for Classification and Detection (2015) — 853 citations
• Efficient and accurate approximations of nonlinear convolutional networks (2014) — 270 citations