Manuel Werlberger

Computer Vision and Pattern Recognition · 2009–2017

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Manuel Werlberger trusts overall

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

  1. Daniel Cremers
  2. Hiroshi Ishikawa
  3. Thomas Pock
  4. Jakob J. Engel
  5. David Nistér
  6. Christopher Zach
  7. Jürgen Sturm
  8. Thomas Brox
  9. Oliver J. Woodford

Who trusts Manuel Werlberger overall

  1. Deqing Sun
  2. Michael J. Black
  3. Christoph Vogel
  4. Stefan Roth
  5. Jonas Wulff
  6. Denis Fortun
  7. Konrad Schindler
  8. Anurag Ranjan
  9. Viorica Patraucean
  10. A. Ciptadi

Papers from Manuel Werlberger's perspective

Ordered by how strongly the researchers Manuel Werlberger 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. An Iterative Image Registration Technique with an Application to Stereo Vision

Their papers