Tobias Heimann

Computer Vision and Pattern Recognition · 2007–2017

A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Heimann trusts overall

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

  1. John G. Daugman
  2. William T. Freeman
  3. Fernando De la Torre
  4. David Cristinacce
  5. Alexander Andreopoulos
  6. Aapo Hyvärinen
  7. Arthur P. Dempster
  8. Daniel Cremers
  9. Alejandro F Frangi
  10. Michael Kaus

Who trusts Tobias Heimann overall

  1. M. Avendi
  2. Brian Patenaude
  3. Anders Eklund
  4. Juan Eugenio Iglesias
  5. Xiaomeng Li
  6. Zhuowen Tu
  7. Lequan Yu
  8. Arash Kheradvar
  9. Hao Chen
  10. Stephen M. Smith

Papers from Tobias Heimann's perspective

Ordered by how strongly the researchers Tobias Heimann 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers