Michael Dorr

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 5 papers; trusts 106 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Dorr trusts overall

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

  1. Ivan Laptev
  2. Robert J. Peters
  3. Dario D. Salvucci
  4. James Bergstra
  5. Xiaodi Hou
  6. Yoshua Bengio
  7. Laurent Itti
  8. B. Tatler
  9. Heng Wang
  10. Alex Krizhevsky

Who trusts Michael Dorr overall

  1. Wenguan Wang
  2. Junting Pan
  3. Jianbing Shen
  4. Marcella Cornia
  5. Lucas Theis
  6. Waqas Sultani
  7. Matthias Kümmerer
  8. Jia Li
  9. Heng Wang
  10. Tam V. Nguyen

Papers from Michael Dorr's perspective

Ordered by how strongly the researchers Michael Dorr 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers