Derek Bradley

Computer Vision and Pattern Recognition · 2007–2020

A researcher in the Science corpus: 6 papers; trusts 47 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Derek Bradley trusts overall

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

  1. Olga Veksler
  2. Mark Fiala
  3. Paul A. Viola
  4. John F. Canny
  5. Jaakko J. Sauvola
  6. Mark Billinghurst
  7. Thabo Beeler
  8. Patrick Pérez
  9. Li Zhang
  10. Michael J. Jones

Who trusts Derek Bradley overall

  1. Ira Kemelmacher-Shlizerman
  2. Michael Zollhöfer
  3. Yasutaka Furukawa
  4. Hanbyul Joo
  5. Hao Li
  6. Sofien Bouaziz
  7. Pablo Garrido
  8. Ayush Kumar Tewari
  9. Darren P. Cosker
  10. Justus Thies

Papers from Derek Bradley's perspective

Ordered by how strongly the researchers Derek Bradley 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers