Michael Fink

Computer Vision and Pattern Recognition · 2004–2007

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 1,639 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Fink trusts overall

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

  1. R. Golden
  2. Shai Shalev-Shwartz
  3. Nicolò Cesa-Bianchi
  4. David G. Lowe
  5. Aharon Bar-Hillel
  6. Sebastian Mika
  7. Yoram Singer
  8. Antonio Torralba
  9. Andrew Y. Ng
  10. Geoffrey E. Hinton

Who trusts Michael Fink overall

  1. Marcus Rohrbach
  2. Tatiana Tommasi
  3. Yusuf Aytar
  4. Trevor Darrell
  5. Ariadna Quattoni
  6. Andrew Zisserman
  7. Lior Wolf
  8. Bernt Schiele
  9. Francesco Orabona
  10. Yaqing Wang

Papers from Michael Fink's perspective

Ordered by how strongly the researchers Michael Fink 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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