Michael Werman

Computer Vision and Pattern Recognition · 1986–2010

A researcher in the Science corpus: 7 papers; trusts 323 researchers and is trusted by 852 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Werman trusts overall

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

  1. David G. Lowe
  2. Ofir Pele
  3. Yossi Rubner
  4. Shmuel Peleg
  5. Haibin Ling
  6. Andrew Zisserman
  7. Geoffrey E. Hinton
  8. Josef Sivic
  9. Cordelia Schmid
  10. Krystian Mikolajczyk

Who trusts Michael Werman overall

  1. Ofir Pele
  2. Relja Arandjelovi'c
  3. Tilke Judd
  4. Hema Swetha Koppula
  5. Julian Chow
  6. Yujia Xie
  7. Andrew Zisserman
  8. Kyle Genova
  9. Jonathan T. Barron
  10. Nicolas Riche

Papers from Michael Werman's perspective

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

Their papers