Peter Reinartz

Computer Vision and Pattern Recognition · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 166 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Reinartz trusts overall

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

  1. James C. Spall
  2. Ross B. Girshick
  3. Kaiming He
  4. Alex Krizhevsky
  5. Josien P. W. Pluim
  6. Karen Simonyan
  7. Geoffrey E. Hinton
  8. Shaoqing Ren
  9. Andrew Zisserman
  10. Ilya Sutskever

Who trusts Peter Reinartz overall

  1. Xue Yang
  2. Xingyu Jiang

Papers from Peter Reinartz's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers