Zhilan Hu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 26 citations into it
• Efficiency & Compression — 21 citations into it
• Model Architectures — 7 citations into it

Whom Zhilan Hu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Yihui He
6. Song Han
7. X. Zhang
8. Andrew Zisserman
9. Ross B. Girshick
10. Yann LeCun

Papers from Zhilan Hu's perspective

Ordered by how strongly the researchers Zhilan Hu 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. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers

• Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (2018) — 1,252 citations