Markus Unger

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Unger trusts overall

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

  1. Hiroshi Ishikawa
  2. Daniel Cremers
  3. Thomas Pock
  4. Christopher Zach
  5. Thomas Brox
  6. Oliver J. Woodford
  7. Manuel Werlberger
  8. Horst Bischof
  9. Edward H. Adelson
  10. Stanley J. Osher

Who trusts Markus Unger overall

  1. Christoph Vogel
  2. Stefan Roth
  3. Junhwa Hur
  4. Konrad Schindler
  5. Denis Fortun
  6. Patrick Bouthemy

Papers from Markus Unger's perspective

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

Their papers