Adrian Clark

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adrian Clark trusts overall

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

  1. Daniel Wagner
  2. Vincent Lepetit
  3. Neil A. Dodgson
  4. David G. Lowe
  5. Herbert Bay
  6. Mark Billinghurst
  7. Dieter Schmalstieg
  8. Edward Rosten
  9. Tom Drummond
  10. Yan Ke

Papers from Adrian Clark's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers