Li-Wei Kang

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 Li-Wei Kang trusts overall

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

  1. Michael Elad
  2. Julien Mairal
  3. David G. Lowe

Who trusts Li-Wei Kang 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
  10. Yu Luo

Papers from Li-Wei Kang's perspective

Ordered by how strongly the researchers Li-Wei Kang 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Learning Multiple Layers of Features from Tiny Images

Their papers