Wolfgang Heidrich

Computer Vision and Pattern Recognition · 2001–2018

A researcher in the Science corpus: 10 papers; trusts 171 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Wolfgang Heidrich trusts overall

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

  1. Alex Krizhevsky
  2. John F. Canny
  3. Kaiming He
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Rob Fergus
  7. Scott J. Daly
  8. Patrick Pérez
  9. Cédric Villani
  10. Yann LeCun

Who trusts Wolfgang Heidrich overall

  1. Ira Kemelmacher-Shlizerman
  2. Rafal Mantiuk
  3. Yasutaka Furukawa
  4. Sofien Bouaziz
  5. Hanbyul Joo
  6. Darren P. Cosker
  7. Hao Li
  8. G. Peyr'e

Papers from Wolfgang Heidrich's perspective

Ordered by how strongly the researchers Wolfgang Heidrich 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. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers