Zhe Cao

Computer Vision and Pattern Recognition · with Sheikh · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 907 researchers and is trusted by 792 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 153 citations into it; #1,547 of 21,575 by trust here, #2,423 by citations
• Human-Computer Interaction — 47 citations into it
• 3D Vision & Pose — 40 citations into it
• Control and Systems Engineering — 25 citations into it
• Artificial Intelligence — 23 citations into it; #3,861 of 35,345 by trust here, #3,279 by citations
• Biomedical Engineering — 15 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Model Architectures — 12 citations into it

Whom Zhe Cao trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Karen Simonyan
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Mykhaylo Andriluka
8. Yoshua Bengio
9. Yann LeCun
10. Pedro F. Felzenszwalb

Who trusts Zhe Cao overall

1. Xingyi Zhou
2. Muhammed Kocabas
3. Aliaksandr Siarohin
4. Thiemo Alldieck
5. Jiefeng Li
6. Bin Xiao
7. Kaiming He
8. Hanbyul Joo
9. Donglai Xiang
10. Michael J. Black

Papers from Zhe Cao's perspective

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

Their papers

• Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields (2016) — 7,345 citations
• OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields (2018) — 5,711 citations
• Reconstructing Hand-Object Interactions in the Wild (2020) — 192 citations