Bin Luo

Computer Vision and Pattern Recognition · with Hancock · 2001–2003

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Luo trusts overall

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

  1. John C. Gower
  2. Yann LeCun
  3. Geoffrey J. McLachlan
  4. Arthur P. Dempster
  5. Yoshua Bengio
  6. Horst Bunke
  7. Nan M. Laird
  8. Irving Biederman
  9. Constantine Papageorgiou
  10. Donald B. Rubin

Who trusts Bin Luo overall

  1. Kaspar Riesen
  2. Horst Bunke
  3. Marc Barthelemy
  4. Subu Surendran
  5. Ehsan Zare Borzeshi
  6. Shijun Wang

Papers from Bin Luo's perspective

Ordered by how strongly the researchers Bin Luo 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers