Manuel Blum

Computer Vision and Pattern Recognition · International Conference on the Theory and Application of Cryptographic Techniques · 1973–2008

A researcher in the Science corpus: 9 papers; trusts 15 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Manuel Blum trusts overall

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

  1. Luis von Ahn
  2. Whitfield Diffie
  3. Nicholas Pippenger
  4. Lance Fortnow
  5. Greg Mori
  6. Martin E. Hellman
  7. Oded Goldreich
  8. Kobus Barnard
  9. Michael J. Fischer
  10. Shafi Goldwasser

Who trusts Manuel Blum overall

  1. Jens Groth
  2. Ran Canetti
  3. Mihir Bellare
  4. Srinath T. V. Setty
  5. Helger Lipmaa
  6. Rafail M. Ostrovsky
  7. Eli Ben-Sasson
  8. Wenbo Mao
  9. Paul Valiant
  10. Dan Boneh

Papers from Manuel Blum's perspective

Ordered by how strongly the researchers Manuel Blum 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. LabelMe: A Database and Web-Based Tool for Image Annotation
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Learning the semantics of words and pictures
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers