Yu-Hsiang Fu

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Yu-Hsiang Fu trusts overall

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

  1. Michael Elad

Who trusts Yu-Hsiang Fu overall

  1. Ruoteng Li
  2. Robby T. Tan
  3. Xueyang Fu
  4. Chris H. Bahnsen
  5. Wenhan Yang
  6. He Zhang
  7. Loong Fah Cheong
  8. Yi-Lei Chen
  9. Lei Zhu

Papers from Yu-Hsiang Fu's perspective

Ordered by how strongly the researchers Yu-Hsiang 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. Gradient-based learning applied to document recognition
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Histograms of oriented gradients for human detection
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers