Jed R. Brubaker

Computer Vision and Pattern Recognition · 2007–2021

A researcher in the Science corpus: 5 papers; trusts 62 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jed R. Brubaker trusts overall

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

  1. Joy Buolamwini
  2. Pamela A. Roberts
  3. J. Marc Overhage
  4. T. Habermas
  5. Brian Carroll

Who trusts Jed R. Brubaker overall

  1. Kate C. McLean
  2. Sarah Pedersen

Papers from Jed R. Brubaker's perspective

Ordered by how strongly the researchers Jed R. Brubaker 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Unbiased look at dataset bias
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers