Dan Barnes

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 76 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Barnes trusts overall

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

  1. Andreas Geiger
  2. William P. Maddern
  3. Chris Linegar
  4. Philip H. S. Torr
  5. Paul M. Newman
  6. Joel C. McCall
  7. Andrew Zisserman
  8. Gabriel J. Brostow
  9. Vijay Badrinarayanan
  10. Mark Joseph Cummins

Who trusts Dan Barnes overall

  1. Edouard Leurent
  2. Fahad Lateef
  3. Gregory Kahn
  4. Markus Wulfmeier
  5. H. Wang
  6. Wilko Schwarting
  7. Giseop Kim
  8. Yassine Ruichek
  9. Di Feng
  10. Adam Villaflor

Papers from Dan Barnes's perspective

Ordered by how strongly the researchers Dan Barnes 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. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers