Christof Angermüller

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christof Angermüller trusts overall

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

  1. Johannes Söding
  2. Radford M. Neal
  3. L. Eon Bottou
  4. Michael Remmert
  5. Steven Henikoff
  6. Andrew Y. Ng
  7. Yang Zhang
  8. Alexey G. Murzin
  9. Stephen F. Altschul
  10. Valerio Mariani

Who trusts Christof Angermüller overall

  1. Martin Steinegger
  2. Barak Yariv
  3. Markus Meier

Papers from Christof Angermüller's perspective

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

Their papers