Michael Bleyer

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Bleyer trusts overall

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

  1. Vladimir Kolmogorov
  2. Yuri Boykov
  3. Connelly Barnes
  4. Ramin Zabih
  5. Hai Tao
  6. Oliver J. Woodford
  7. Olga Veksler
  8. Kaiming He
  9. Eli Shechtman
  10. Qingxiong Yang

Who trusts Michael Bleyer overall

  1. Silvano Galliani
  2. Konrad Schindler
  3. Johannes L. Schönberger
  4. Christoph Vogel
  5. Michael Niemeyer
  6. Vladimir Tankovich
  7. Daniel Scharstein
  8. Zehao Yu
  9. Andreas Geiger
  10. Fangjinhua Wang

Papers from Michael Bleyer's perspective

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

Their papers