Pau Gargallo

Computer Vision and Pattern Recognition · 2007–2008

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Pau Gargallo trusts overall

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

  1. Stanley J. Osher
  2. Tom Minka
  3. Anthony J. Yezzi Jr.
  4. S. M. Seitz
  5. Jean-Philippe Pons
  6. Stefano Soatto
  7. Daniel Scharstein
  8. Brian Curless
  9. James A. Sethian
  10. Richard Szeliski

Who trusts Pau Gargallo overall

  1. Ali O. Ulusoy
  2. Amaël Delaunoy
  3. Christian Häne
  4. Yasutaka Furukawa
  5. Shikun Liu
  6. Michael J. Black
  7. Andreas Geiger
  8. Shubham Tulsiani
  9. Nikolay Savinov
  10. Marc Pollefeys

Papers from Pau Gargallo's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. The Visual Hull Concept for Silhouette-Based Image Understanding
  7. A Theory of Shape by Space Carving
  8. Multi-view stereo via volumetric graph-cuts
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Multi-camera Scene Reconstruction via Graph Cuts (European Conference on Computer Vision)

Their papers