Stefan Milz

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 7 papers; trusts 764 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Milz trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Yoshua Bengio
  8. Karen Simonyan
  9. Shaoqing Ren
  10. Ilya Sutskever

Who trusts Stefan Milz overall

  1. Senthil Kumar Yogamani
  2. Eduardo Arnold
  3. Sourabh Vora
  4. Liquan Zhao
  5. Alex H. Lang
  6. Ganesh Sistu
  7. Sergey I. Nikolenko
  8. Yan Yan
  9. Chenhang He
  10. Waleed Ali

Papers from Stefan Milz's perspective

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

Their papers