Ron Rubinstein

Computer Vision and Pattern Recognition · 2006–2013

A researcher in the Science corpus: 5 papers; trusts 65 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Ron Rubinstein trusts overall

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

  1. Michael Elad
  2. Stéphane Mallat
  3. David L. Donoho
  4. Michal Aharon
  5. E.J. Candes
  6. Scott Shaobing Chen
  7. Julien Mairal
  8. Alfred Marcel Bruckstein
  9. Thomas Blumensath
  10. Erwan Le Pennec

Who trusts Ron Rubinstein overall

  1. Saiprasad Ravishankar
  2. Lei Zhang
  3. Weisheng Dong
  4. Xiaofeng Ren
  5. Yoram Bresler
  6. Vishal M. Patel
  7. Meng Yang
  8. Liefeng Bo
  9. Bo Huang
  10. Michael Elad

Papers from Ron Rubinstein's perspective

Ordered by how strongly the researchers Ron Rubinstein 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. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers