Mark C. Preul

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mark C. Preul trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  4. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  5. Antonio Torralba (in Computer Vision and Pattern Recognition)
  6. Karen Simonyan (in Computer Vision and Pattern Recognition)
  7. Cordelia Schmid (in Computer Vision and Pattern Recognition)
  8. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  9. Aude Oliva (in Computer Vision and Pattern Recognition)
  10. Andrea Vedaldi (in Computer Vision and Pattern Recognition)

Papers from Mark C. Preul's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Rethinking the Inception Architecture for Computer Vision
  4. Caffe: Convolutional Architecture for Fast Feature Embedding
  5. Learning representations by back-propagating errors
  6. I and J
  7. Handwritten Digit Recognition with a Back-Propagation Network
  8. Aggregating local descriptors into a compact image representation
  9. Return of the Devil in the Details: Delving Deep into Convolutional Nets
  10. Learning Deep Features for Discriminative Localization

Their papers