Conrad Sanderson

Computer Vision and Pattern Recognition · Journal of Open Source Software · 2009–2016

A researcher in the Science corpus: 7 papers; trusts 61 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Conrad Sanderson trusts overall

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

  1. Peter N. Belhumeur
  2. Andrei Alexandrescu
  3. Dirk Eddelbuettel
  4. Radford M. Neal
  5. P. Jonathon Phillips
  6. Brian C. Lovell
  7. David J. Kriegman
  8. Yongkang Wong
  9. Eric Nowak
  10. John Shawe-Taylor

Who trusts Conrad Sanderson overall

  1. Gregor Kastner
  2. Yuezun Li
  3. Yongkang Wong
  4. Dirk Eddelbuettel
  5. Jonas Wulff
  6. Jaume Amores
  7. Jon Gauthier
  8. Brian C. Lovell
  9. Zhiwu Huang
  10. Mehrtash Harandi

Papers from Conrad Sanderson's perspective

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

Their papers