Lin Yang

Computer Vision and Pattern Recognition · with Huang · 2011

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Yang trusts overall

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

  1. Iain Matthews
  2. Shai Avidan
  3. Joel A. Tropp

Who trusts Lin Yang overall

  1. Yi Wu
  2. Wei Zhong
  3. Ming-Hsuan Yang
  4. Huchuan Lu
  5. Fuyong Xing
  6. Yang Li

Papers from Lin Yang's perspective

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

Their papers