Peter W. Jones

Computer Vision and Pattern Recognition · 2000–2007

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Peter W. Jones trusts overall

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

  1. Mikhail Belkin
  2. Partha Niyogi
  3. Ronald R. Coifman
  4. Lawrence K. Saul
  5. Hart F. Smith
  6. Kilian Q. Weinberger
  7. David L. Donoho
  8. Stéphane Lafon
  9. Jianbo Shi
  10. Stanley J. Osher

Who trusts Peter W. Jones overall

  1. Scott Sheffield
  2. Guy Gilboa
  3. Weisheng Dong
  4. Lei Zhang
  5. Jacobus W. Portegies
  6. Stanley J. Osher
  7. A. Buades
  8. Stamatios Lefkimmiatis
  9. Frank Filbir
  10. Xiaoqun Zhang

Papers from Peter W. Jones's perspective

Ordered by how strongly the researchers Peter W. Jones 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Normalized cuts and image segmentation
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers