G. Pavlidis

Computer Vision and Pattern Recognition · 2007–2014

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

Subfields

Whom G. Pavlidis trusts overall

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

  1. Daniel Scharstein
  2. Richard Szeliski

Papers from G. Pavlidis's perspective

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

  1. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  2. The Visual Hull Concept for Silhouette-Based Image Understanding
  3. Accurate, Dense, and Robust Multi-View Stereopsis
  4. Shape from Shading: A Survey
  5. A low cost 3D scanner based on structured light
  6. Pattern codification strategies in structured light systems (Pattern Recognition)
  7. Fast approximate energy minimization via graph cuts
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Multi-view stereo via volumetric graph-cuts

Their papers