Jonathan L. Carrivick

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan L. Carrivick trusts overall

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

  1. David G. Lowe
  2. S. M. Seitz
  3. Yasutaka Furukawa
  4. Arko Lucieer
  5. David Nistér
  6. Shimon Ullman
  7. Darren Turner
  8. Richard Szeliski
  9. Andrew Zisserman
  10. Philip H. S. Torr

Papers from Jonathan L. Carrivick's perspective

Ordered by how strongly the researchers Jonathan L. Carrivick 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Object recognition from local scale-invariant features

Their papers