Allen R. Tannenbaum

Computer Vision and Pattern Recognition · 1995–2011

A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Allen R. Tannenbaum trusts overall

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

  1. David L. Donoho
  2. Nikos Paragios
  3. Stéphane Mallat
  4. Stanley J. Osher
  5. Ingrid Daubechies
  6. Robert J. McCann
  7. Rachid Deriche
  8. Bernard Walter Silverman
  9. Alin M. Achim
  10. Tony F. Chan

Who trusts Allen R. Tannenbaum overall

  1. Daniel Cremers
  2. Nikos Paragios
  3. Gopal Datt Joshi
  4. Lei He
  5. Filippo Santambrogio
  6. Karl Krissian
  7. Nicolas Bonneel
  8. Alex Levinshtein
  9. Bjorn Engquist

Papers from Allen R. Tannenbaum's perspective

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

  1. A wavelet tour of signal processing
  2. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  3. Statistical shape influence in geodesic active contours (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
  4. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Ten Lectures on Wavelets
  7. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  8. Nonlinear total variation based noise removal algorithms
  9. Active contours without edges
  10. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)

Their papers