Si-Yao Fu

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #17,836 of 21,575 by trust here, #16,367 by citations

Whom Si-Yao Fu trusts overall

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

1. Laurent Itti
2. Lijun Yin
3. Daniel T. Levin
4. Patrick Grother
5. Kunihiko Fukushima
6. P. Jonathon Phillips
7. Christof Koch
8. Ali Borji
9. Luiz Pessoa
10. Jacqueline M. Chen

Who trusts Si-Yao Fu overall

1. Harish Katti
2. Joseph P. Robinson
3. S. Arun
4. Hee Jung Ryu
5. Gennady Livitz

Papers from Si-Yao Fu's perspective

Ordered by how strongly the researchers Si-Yao Fu 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. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
4. Gradient-based learning applied to document recognition
5. Going deeper with convolutions
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Distinctive Image Features from Scale-Invariant Keypoints
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Race from Face: A Survey (2014) — 174 citations