Sebastian Krebs

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 586 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian Krebs trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Piotr Doll'ar
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Andrew Zisserman
  8. Yoshua Bengio
  9. Yann LeCun
  10. Christian Szegedy

Who trusts Sebastian Krebs overall

  1. Di Feng

Papers from Sebastian Krebs's perspective

Ordered by how strongly the researchers Sebastian Krebs 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. 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers