Sebastian Schreiber

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 61 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian Schreiber trusts overall

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

  1. Ross B. Girshick
  2. Karen Simonyan
  3. Kaiming He
  4. Andrew Zisserman
  5. Matthew D. Zeiler
  6. Shaoqing Ren
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Evan Shelhamer
  10. Rob Fergus

Who trusts Sebastian Schreiber overall

  1. Xu Zhong
  2. Yiheng Xu
  3. Antonio Jimeno-Yepes
  4. Elaheh Shafieibavani
  5. Jianbin Tang

Papers from Sebastian Schreiber's perspective

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

Their papers