Daniel Freedman

Computer Vision and Pattern Recognition · 2005–2015

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Freedman trusts overall

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

  1. Yuri Boykov
  2. Vladimir Kolmogorov
  3. Tim Cootes
  4. Michael E. Leventon

Who trusts Daniel Freedman overall

  1. Olga Veksler
  2. Dim P. Papadopoulos
  3. Liang-Chieh Chen
  4. Konstantin Sofiiuk
  5. Jasper R. R. Uijlings
  6. Meng Tang
  7. Vittorio Ferrari
  8. Sanja Fidler
  9. Ilya A. Petrov
  10. Lena Gorelick

Papers from Daniel Freedman's perspective

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

  1. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
  2. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Level Set Methods and Fast Marching Methods
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Long Short-Term Memory
  10. Efficient regression of general-activity human poses from depth images

Their papers