Shihong Lao

Computer Vision and Pattern Recognition · 2004–2012

A researcher in the Science corpus: 6 papers; trusts 47 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Shihong Lao trusts overall

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

  1. Robert E. Schapire
  2. Yoav Freund
  3. Paul A. Viola
  4. S. Li
  5. Henry Schneiderman
  6. Jerome H. Friedman
  7. Lawrence R. Rabiner

Who trusts Shihong Lao overall

  1. Zdenek Kalal
  2. Zitong Yu
  3. Cha Zhang
  4. Helmut Grabner

Papers from Shihong Lao's perspective

Ordered by how strongly the researchers Shihong Lao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Histograms of oriented gradients for human detection
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers