Paul Dufort

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Dufort trusts overall

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

  1. Michael Elad
  2. Gitta Kutyniok
  3. Paul A. Viola
  4. Christoph Vetter
  5. Thomas Schiwietz
  6. Jianbo Shi
  7. Carlo Tomasi
  8. Fang Xu
  9. Vibhav Vineet
  10. Tobias Heimann

Who trusts Paul Dufort overall

  1. Shiva Maleki Varnosfaderani

Papers from Paul Dufort's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Normalized cuts and image segmentation
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Bilateral filtering for gray and color images
  7. Gradient-based learning applied to document recognition
  8. A non-local algorithm for image denoising
  9. ImageNet: A large-scale hierarchical image database
  10. Fully convolutional networks for semantic segmentation

Their papers