Hong Cheng

Computer Vision and Pattern Recognition · with Liu · 2012–2016

A researcher in the Science corpus: 3 papers; trusts 187 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it; #16,256 of 21,575 by trust here, #13,269 by citations
• Human-Computer Interaction — 40 citations into it
• Control and Systems Engineering — 14 citations into it; #6,052 of 8,257 by trust here, #3,145 by citations
• Artificial Intelligence — 12 citations into it
• Biomedical Engineering — 7 citations into it; #6,683 of 10,734 by trust here, #7,109 by citations
• Aerospace Engineering — 5 citations into it

Whom Hong Cheng trusts overall

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

1. Chih-Jen Lin
2. Zhou Ren
3. Robert Y. Wang
4. I. Oikonomidis
5. Zhengyou Zhang
6. Srinath Sridhar
7. Geoffrey E. Hinton
8. Miguel Reyes
9. Jamie Shotton
10. Alex Krizhevsky

Who trusts Hong Cheng overall

1. Amir Shahroudy
2. Qiuhong Ke
3. Pichao Wang
4. Y. Zhu

Papers from Hong Cheng's perspective

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

Their papers

• Interactive body part contrast mining for human interaction recognition (2014) — 142 citations
• Survey on 3D Hand Gesture Recognition (2016) — 320 citations
• Combing RGB and Depth Map Features for human activity recognition (2012) — 99 citations