Kuang-chih Lee

Computer Vision and Pattern Recognition · 2003–2006

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 329 researchers here, as inferred from the citation graph.

Subfields

Whom Kuang-chih Lee trusts overall

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

  1. Ravi Ramamoorthi
  2. Ronen Basri
  3. P. Hanrahan
  4. R. Fisher
  5. Hiroshi Murase
  6. Sam T. Roweis
  7. Athinodoros S. Georghiades
  8. Kilian Q. Weinberger
  9. Amir Globerson
  10. Jason D. M. Rennie

Who trusts Kuang-chih Lee overall

  1. Guangcan Liu
  2. Meng Yang
  3. Ehsan Elhamifar
  4. Lei Zhang
  5. Shuicheng Yan
  6. René Vidal
  7. Canyi Lu
  8. Xiaofei He
  9. Zhouchen Lin
  10. Ran He

Papers from Kuang-chih Lee's perspective

Ordered by how strongly the researchers Kuang-chih Lee 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. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. GENERATIVE ADVERSARIAL NETS

Their papers