Timo Scharwächter

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 3 papers; trusts 178 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Timo Scharwächter trusts overall

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

  1. David G. Lowe
  2. Andrea Vedaldi
  3. Heiko Hirschmüller
  4. Mark Everingham
  5. Ross B. Girshick
  6. Brian Fulkerson
  7. Geoffrey E. Hinton
  8. Andrew Zisserman
  9. Svetlana Lazebnik
  10. Alex Krizhevsky

Who trusts Timo Scharwächter overall

  1. Marius Cordts
  2. Dan Barnes
  3. Gerhard Neuhold
  4. Girish Varma
  5. Markus Enzweiler
  6. Abhishek Sharma
  7. Mohamed Omran
  8. William P. Maddern
  9. Uwe Franke
  10. Fahad Lateef

Papers from Timo Scharwächter's perspective

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

Their papers