Patrick Bardow

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Bardow trusts overall

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

  1. Thomas Pock
  2. Christopher Zach
  3. Antonin Chambolle
  4. Christoph Posch
  5. Richard A. Newcombe
  6. Ravi Garg
  7. Andreas Wedel
  8. Ryad Benosman
  9. Horst Bischof
  10. Stanley J. Osher

Who trusts Patrick Bardow overall

  1. Henri Rebecq
  2. Guillermo Gallego
  3. Alex Zihao Zhu
  4. Davide Scaramuzza
  5. Hanme Kim
  6. René Ranftl
  7. Vladlen Koltun
  8. Stefan Leutenegger
  9. Liangzhe Yuan
  10. Daniel Gehrig

Papers from Patrick Bardow's perspective

Ordered by how strongly the researchers Patrick Bardow trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Determining Optical Flow
  2. Nonlinear total variation based noise removal algorithms
  3. ImageNet classification with deep convolutional neural networks
  4. A Duality Based Approach for Realtime TV-L1 Optical Flow
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. A convex relaxation approach for computing minimal partitions (2009 IEEE Conference on Computer Vision and Pattern Recognition)

Their papers