Zhiquan He

Computer Vision and Pattern Recognition · with Ning · 2017

A researcher in the Science corpus: 1 paper; trusts 299 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 19 citations into it
• Human-Computer Interaction — 13 citations into it
• Model Architectures — 10 citations into it
• Biomedical Engineering — 9 citations into it
• 3D Vision & Pose — 6 citations into it

Whom Zhiquan He trusts overall

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

1. Christian Szegedy
2. Geoffrey E. Hinton
3. Andrew Zisserman
4. Kaiming He
5. Shaoqing Ren
6. Pedro F. Felzenszwalb
7. Alex Krizhevsky
8. Yann LeCun
9. Ross B. Girshick
10. Karen Simonyan

Papers from Zhiquan He's perspective

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

Their papers

• Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation (2017) — 180 citations