M. Bartlett

Computer Vision and Pattern Recognition · IEEE Trans. Neural Networks · 1996–2011

A researcher in the Science corpus: 10 papers; trusts 28 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom M. Bartlett trusts overall

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

  1. Paul A. Viola
  2. Takeo Kanade
  3. Ying-li Tian
  4. Maja Pantic
  5. Jerome H. Friedman
  6. Michael J. Jones
  7. Jeffrey F. Cohn
  8. Anthony J. Bell
  9. Matthew A. Turk
  10. David E. Rumelhart

Who trusts M. Bartlett overall

  1. Fernando De la Torre
  2. Caifeng Shan
  3. Jeffrey F. Cohn
  4. Bruce A. Draper
  5. Tadas Baltrusaitis
  6. Michel François Valstar
  7. Stefanos P. Zafeiriou
  8. Rabia Jafri
  9. Shaogang Gong
  10. Jian Yang

Papers from M. Bartlett's perspective

Ordered by how strongly the researchers M. Bartlett 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers