Benedict Becker

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Benedict Becker trusts overall

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

  1. John G. Daugman
  2. Timo Ojala
  3. Zhenhua Guo

Who trusts Benedict Becker overall

  1. Christina Heinze-Deml

Papers from Benedict Becker's perspective

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

  1. Going deeper with convolutions
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
  4. How iris recognition works (IEEE transactions on circuits and systems for video technology (Print))
  5. What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics (IEEE Transactions on Information Forensics and Security)
  6. A Completed Modeling of Local Binary Pattern Operator for Texture Classification (IEEE Transactions on Image Processing)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers