Sabine Sternig

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sabine Sternig trusts overall

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

  1. Jitendra Malik
  2. Subhransu Maji
  3. Juergen Gall
  4. Yuri Boykov
  5. Bastian Leibe
  6. Deva Ramanan
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Kaiming He
  10. Chunhui Gu

Who trusts Sabine Sternig overall

  1. Ziyu Zhang
  2. Sanja Fidler
  3. Paul Wohlhart

Papers from Sabine Sternig's perspective

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

Their papers