N. Kingsbury

Computer Vision and Pattern Recognition · 2000–2005

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 72 researchers here, as inferred from the citation graph.

Subfields

Whom N. Kingsbury trusts overall

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

  1. Stéphane Mallat
  2. David L. Donoho
  3. Edward H. Adelson
  4. Ivan W. Selesnick
  5. Eero P. Simoncelli
  6. E.J. Candes
  7. Jean-Luc Starck
  8. Ingrid Daubechies
  9. Zhou Wang
  10. Levent Sendur

Who trusts N. Kingsbury overall

  1. Ivan W. Selesnick
  2. Sujit Kumar Bose
  3. Richard Baraniuk
  4. Levent Sendur
  5. Vladimir Katkovnik
  6. Ramesh Neelamani
  7. Luca Calatroni
  8. Michelle Lochner
  9. Minh N. Do
  10. C.R. Johnson

Papers from N. Kingsbury's perspective

Ordered by how strongly the researchers N. Kingsbury 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. The steerable pyramid: a flexible architecture for multi-scale derivative computation
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. A wavelet tour of signal processing
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. The Laplacian Pyramid as a Compact Image Code
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers