Lei Huang

Computer Vision and Pattern Recognition · with Li · 2017

A researcher in the Science corpus: 1 paper; trusts 190 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 91 citations into it
• Artificial Intelligence — 33 citations into it
• Human-Computer Interaction — 19 citations into it
• Media Technology — 8 citations into it
• 3D Vision & Pose — 7 citations into it

Whom Lei Huang trusts overall

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

1. Ivan Laptev
2. Alex Krizhevsky
3. David G. Lowe
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Kaiming He
7. Ilya Sutskever
8. Karen Simonyan
9. Andrew Y. Ng
10. Yoshua Bengio

Papers from Lei Huang's perspective

Ordered by how strongly the researchers Lei Huang 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. 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. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Histograms of oriented gradients for human detection

Their papers

• A Review on Human Activity Recognition Using Vision-Based Method (2017) — 306 citations