Mun Wai Lee

Computer Vision and Pattern Recognition · 2005–2013

A researcher in the Science corpus: 4 papers; trusts 233 researchers and is trusted by 87 researchers here, as inferred from the citation graph.

Subfields

Whom Mun Wai Lee trusts overall

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

  1. Tao Zhao
  2. Paul A. Viola
  3. Jay Earley
  4. Song-Chun Zhu
  5. Zhuowen Tu
  6. Cristian Sminchisescu
  7. Ramkant Nevatia
  8. Geoffrey E. Hinton
  9. Bill Triggs
  10. Alex Krizhevsky

Who trusts Mun Wai Lee overall

  1. Haonan Yu
  2. Fengjun Lv
  3. L. Eon Bottou
  4. Fei Han
  5. Mao Ye
  6. Ramkant Nevatia
  7. Qi Wu
  8. Jeffrey Mark Siskind
  9. Martín Arjovsky
  10. Brian Reily

Papers from Mun Wai Lee's perspective

Ordered by how strongly the researchers Mun Wai Lee 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers