Maria Grazia Spera

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maria Grazia Spera trusts overall

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

  1. Yasutaka Furukawa
  2. Daniel Scharstein
  3. Richard Szeliski
  4. S. M. Seitz
  5. Carlos Hernández Esteban
  6. Heiko Hirschmüller
  7. Jean Ponce
  8. Florent Lafarge
  9. Noah Snavely
  10. Brian Curless

Papers from Maria Grazia Spera's perspective

Ordered by how strongly the researchers Maria Grazia Spera 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. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Silhouette and stereo fusion for 3D object modeling
  6. Multiple View Geometry in Computer Vision
  7. Accurate, Dense, and Robust Multi-View Stereopsis
  8. ImageNet classification with deep convolutional neural networks
  9. On benchmarking camera calibration and multi-view stereo for high resolution imagery (2008 IEEE Conference on Computer Vision and Pattern Recognition)
  10. Long Short-Term Memory

Their papers