Zhimin Cao

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 6 papers; trusts 583 researchers and is trusted by 444 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 103 citations into it; #1,997 of 21,575 by trust here, #3,239 by citations
• Artificial Intelligence — 17 citations into it; #23,845 of 35,345 by trust here, #18,186 by citations
• Signal Processing — 16 citations into it; #7,254 of 7,572 by trust here, #2,400 by citations
• Evaluation & Benchmarks — 12 citations into it; #1,974 of 3,147 by trust here, #2,369 by citations
• Media Technology — 6 citations into it
• Model Architectures — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Zhimin Cao trusts overall

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

1. Ross B. Girshick
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Karen Simonyan
6. Andrew Zisserman
7. David G. Lowe
8. Yi Sun
9. Yann LeCun
10. Piotr Doll'ar

Who trusts Zhimin Cao overall

1. Xiaoou Tang
2. Xiaogang Wang
3. Dong Chen
4. Zhen Lei
5. Zhenyao Zhu
6. Gary B. Huang
7. Eric Learned-Miller
8. Ping Luo
9. Chaochao Lu
10. Xudong Cao

Papers from Zhimin Cao's perspective

Ordered by how strongly the researchers Zhimin Cao 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Face recognition with learning-based descriptor (2010) — 481 citations
• UnitBox: An Advanced Object Detection Network (2016) — 1,757 citations
• Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not? (2015) — 198 citations
• What Can Help Pedestrian Detection? (2017) — 293 citations
• Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade (2013) — 368 citations
• Learning Deep Face Representation (2014) — 113 citations