O. Dietrich

Computer Vision and Pattern Recognition · 2007–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom O. Dietrich trusts overall

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

  1. Mark A. Griswold
  2. Elliot R. McVeigh

Who trusts O. Dietrich overall

  1. Ben Jeurissen
  2. Alexander Leemans
  3. Oscar Esteban
  4. Xiaobo Qu
  5. Jacques-Donald Tournier
  6. Derek K. Jones

Papers from O. Dietrich's perspective

Ordered by how strongly the researchers O. Dietrich 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Improving neural networks by preventing co-adaptation of feature detectors
  6. Visualizing and Understanding Convolutional Networks
  7. Caffe: Convolutional Architecture for Fast Feature Embedding
  8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  9. Generalized autocalibrating partially parallel acquisitions (GRAPPA) (Magnetic Resonance in Medicine)
  10. Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks

Their papers