David B. Cooper

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom David B. Cooper trusts overall

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

  1. Carlos Hernández Esteban
  2. Yasutaka Furukawa
  3. George Vogiatzis
  4. Vladimir Kolmogorov
  5. Shubao Liu
  6. William E. Lorensen
  7. Marshall F. Tappen
  8. Thomas B. Pollard
  9. M. Kazhdan
  10. Jean Ponce

Who trusts David B. Cooper overall

  1. Ali O. Ulusoy
  2. Nikolay Savinov
  3. Christian Häne
  4. Andreas Geiger
  5. Shubao Liu
  6. Michael J. Black
  7. Michal Jancosek
  8. Gernot Riegler
  9. Lubor Ladicky
  10. Henrik Aanæs

Papers from David B. Cooper's perspective

Ordered by how strongly the researchers David B. Cooper 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Silhouette and stereo fusion for 3D object modeling
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Multiple View Geometry in Computer Vision
  10. What energy functions can be minimized via graph cuts?

Their papers