Abraham Bachrach

Computer Vision and Pattern Recognition · 2009–2012

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Abraham Bachrach trusts overall

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

  1. Edwin Olson
  2. Andrew Howard
  3. Brian Yamauchi
  4. Shai Avidan
  5. Giorgio Grisetti
  6. Sebastian Thrun
  7. Wolfram Burgard
  8. Slawomir Grzonka
  9. David G. Lowe
  10. David Nistér

Who trusts Abraham Bachrach overall

  1. Fereshteh Sadeghi
  2. Stephan Weiss
  3. Shaojie Shen
  4. Dhiraj Gandhi
  5. Davide Scaramuzza
  6. Matthias Faessler
  7. Nathan Michael
  8. Albert S. Huang
  9. Vijay R. Kumar
  10. Sergey Levine

Papers from Abraham Bachrach's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers