Kuan-Ting Lai

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kuan-Ting Lai trusts overall

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

  1. David G. Lowe
  2. Yixin Chen
  3. Thomas G. Dietterich
  4. Yu-Gang Jiang
  5. Stuart Andrews
  6. Kevin D. Tang
  7. Yixin Chen
  8. James Ze Wang
  9. Dan Zhang
  10. Rong-En Fan

Who trusts Kuan-Ting Lai overall

  1. Thibaut Durand
  2. Marc-Andre Carbonneau
  3. Giorgio Patrini
  4. Nicolas Thomé
  5. Veronika Cheplygina

Papers from Kuan-Ting Lai's perspective

Ordered by how strongly the researchers Kuan-Ting Lai 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Histograms of oriented gradients for human detection
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers