Eike Rehder

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 246 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Eike Rehder trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Christian Szegedy
  8. Jifeng Dai
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Eike Rehder overall

  1. Huiyu Wang
  2. Liang-Chieh Chen
  3. Qihang Yu
  4. Yukun Zhu
  5. Minghan Li
  6. Davy Neven

Papers from Eike Rehder's perspective

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

Their papers