Guanghan Ning

Computer Vision and Pattern Recognition · 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 Guanghan Ning 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. Ross B. Girshick
9. Yann LeCun
10. Leonid Pishchulin

Who trusts Guanghan Ning overall

1. Feng Zhang

Papers from Guanghan Ning's perspective

Ordered by how strongly the researchers Guanghan Ning 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

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