Mattias Paul Heinrich

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 8 papers; trusts 128 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mattias Paul Heinrich trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Olga Veksler
  3. Yuri Boykov
  4. Vladimir Kolmogorov
  5. Ben Glocker
  6. Dan Huttenlocher
  7. David G. Lowe
  8. Karen Simonyan
  9. Gary E. Christensen
  10. Geoffrey E. Hinton

Who trusts Mattias Paul Heinrich overall

  1. Grant Haskins
  2. Enzo Ferrante
  3. Yabo Fu
  4. Uwe Kruger
  5. Yuanxin Ye
  6. Sérgio Pereira
  7. Nikos Paragios
  8. Pingkun Yan
  9. Yang Lei

Papers from Mattias Paul Heinrich's perspective

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

Their papers