David Lindenbaum

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom David Lindenbaum trusts overall

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

  1. Geoffrey E. Hinton
  2. Geoff Boeing
  3. Adam Van Etten
  4. Volodymyr Mnih
  5. Olaf Ronneberger
  6. Kaiming He
  7. Joseph Redmon
  8. Olga Russakovsky
  9. Alex Krizhevsky
  10. Tsung-Yi Lin

Who trusts David Lindenbaum overall

  1. Junshi Xia
  2. Bradley Denby
  3. Fuyang Zhang
  4. Selim S. Seferbekov

Papers from David Lindenbaum's perspective

Ordered by how strongly the researchers David Lindenbaum 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. ImageNet Large Scale Visual Recognition Challenge
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Microsoft COCO: Common Objects in Context
  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