Martin Roser

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Roser trusts overall

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

  1. Heiko Hirschmüller
  2. Christopher Evans
  3. Daniel Scharstein
  4. Vladimir Kolmogorov
  5. Pedro F. Felzenszwalb
  6. Kuk-jin Yoon
  7. Andreas Klaus
  8. Oliver J. Woodford
  9. Thabo Beeler
  10. Richard Szeliski

Who trusts Martin Roser overall

  1. Andreas Geiger
  2. Hu He
  3. Sven Wanner
  4. Daniel Scharstein
  5. William P. Maddern
  6. René Schuster
  7. Gengshan Yang
  8. Till Kroeger
  9. Koichiro Yamaguchi
  10. Philippe Xu

Papers from Martin Roser's perspective

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

  1. Efficient Belief Propagation for Early Vision (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
  2. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  3. Computing visual correspondence with occlusions using graph cuts (Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001)
  4. Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Stereo Processing by Semi-global Matching and Mutual Information
  5. Adaptive Support-Weight Approach for Correspondence Search (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. Global stereo reconstruction under second order smoothness priors
  7. Notes on the OpenSURF Library
  8. Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure (International Conference on Pattern Recognition)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. High-quality single-shot capture of facial geometry (ACM Transactions on Graphics)

Their papers