Haoji Hu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 159 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Efficiency & Compression — 28 citations into it
• Artificial Intelligence — 24 citations into it
• Model Architectures — 7 citations into it

Whom Haoji Hu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Yoshua Bengio
6. Karen Simonyan
7. Andrew Zisserman
8. Ilya Sutskever
9. X. Zhang
10. Song Han

Papers from Haoji Hu's perspective

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

Their papers

• Structured Probabilistic Pruning for Convolutional Neural Network Acceleration (2017) — 65 citations