Julius Ziegler

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 5 papers; trusts 66 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Julius Ziegler trusts overall

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

  1. Steven M. LaValle
  2. Christopher Evans
  3. Andreas Geiger
  4. Moritz Werling
  5. Matthew McNaughton
  6. Derek Hoiem
  7. Alonzo James Kelly
  8. Markus Enzweiler
  9. A. Neubeck
  10. Luc Van Gool

Who trusts Julius Ziegler overall

  1. Andreas Geiger
  2. Moritz Menze
  3. Ekim Yurtsever
  4. Azim Eskandarian
  5. Wenyuan Zeng
  6. Christos Katrakazas
  7. David Sierra González
  8. Alberto Broggi
  9. Raquel Urtasun
  10. Hu He

Papers from Julius Ziegler's perspective

Ordered by how strongly the researchers Julius Ziegler 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Histograms of oriented gradients for human detection
  7. Et al
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers