Yoav Shechtman

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Yoav Shechtman trusts overall

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

  1. E.J. Candes
  2. Dimitri P. Bertsekas
  3. Amir Beck
  4. Stefano Marchesini
  5. Irène Waldspurger
  6. Yonina C. Eldar
  7. K. Nugent
  8. D. R. Luke
  9. Christoph Helmberg
  10. Michel X. Goemans

Who trusts Yoav Shechtman overall

  1. Yuxin Chen
  2. Philip Schniter
  3. Yonina C. Eldar
  4. E.J. Candes
  5. Yifan Peng
  6. Sundeep Rangan
  7. G. Wang
  8. Tom Goldstein

Papers from Yoav Shechtman's perspective

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

  1. Decoding by linear programming
  2. ImageNet classification with deep convolutional neural networks
  3. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  4. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
  5. A practical algorithm for the determination of phase from image and diffraction plane pictures
  6. Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices (Proceedings of the 2003 American Control Conference, 2003.)
  7. Phase recovery, MaxCut and complex semidefinite programming (Mathematical programming)
  8. Deep Learning
  9. Compressed Sensing
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers