S. Happy

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Experimental and Cognitive Psychology — 6 citations into it

Whom S. Happy trusts overall

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

1. Caifeng Shan
2. Maja Pantic
3. Paul A. Viola
4. Chih-Wei Hsu
5. Yongmian Zhang
6. Rafael A. Calvo
7. Peter N. Belhumeur
8. Shaogang Gong
9. Ira Cohen
10. Lin Zhong

Who trusts S. Happy overall

1. Fuyan Ma
2. Fanglei Xue

Papers from S. Happy's perspective

Ordered by how strongly the researchers S. Happy 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Histograms of oriented gradients for human detection
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automatic facial expression recognition using features of salient facial patches (2015) — 496 citations