Herbert Bay

Computer Vision and Pattern Recognition · 2006–2008

A researcher in the Science corpus: 2 papers; trusts 190 researchers and is trusted by 1,232 researchers here, as inferred from the citation graph.

Subfields

Whom Herbert Bay trusts overall

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

  1. David G. Lowe
  2. Krystian Mikolajczyk
  3. Cordelia Schmid
  4. Adam Baumberg
  5. Matthew A. Brown
  6. Jan J. Koenderink
  7. Yan Ke
  8. Andrew Zisserman
  9. Rob Fergus
  10. Paul A. Viola

Who trusts Herbert Bay overall

  1. Heng Wang
  2. Luc Van Gool
  3. Christoph H. Lampert
  4. Yi Yang
  5. Douwe Kiela
  6. Cordelia Schmid
  7. Tinne Tuytelaars
  8. Zhiliang Ma
  9. Viktoriia Sharmanska
  10. Lei Tai

Papers from Herbert Bay's perspective

Ordered by how strongly the researchers Herbert Bay 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers