Li He

Computer Vision and Pattern Recognition · with Wang · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Human-Computer Interaction — 16 citations into it
• Artificial Intelligence — 11 citations into it
• Biomedical Engineering — 8 citations into it
• 3D Vision & Pose — 7 citations into it

Whom Li He trusts overall

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

1. Xiaodong Yang
2. Wanqing Li
3. Ivan Laptev
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Zicheng Liu
7. Alex Krizhevsky
8. Kaiming He
9. Pedro F. Felzenszwalb
10. Jamie Shotton

Who trusts Li He overall

1. Albert Haque
2. Hongzhao Chen

Papers from Li He's perspective

Ordered by how strongly the researchers Li He 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
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

• Depth-images-based pose estimation using regression forests and graphical models (2015) — 27 citations
• A novel hierarchical framework for human action recognition (2016) — 71 citations
• Accurate and real-time human action recognition based on 3D skeleton (2013) — 6 citations