Nikolaus Mayer

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 239 researchers and is trusted by 613 researchers here, as inferred from the citation graph.

Subfields

Whom Nikolaus Mayer trusts overall

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

  1. Thomas Brox
  2. Diederik P. Kingma
  3. Alexey Dosovitskiy
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Jitendra Malik
  8. Karen Simonyan
  9. Yoshua Bengio
  10. Kaiming He

Who trusts Nikolaus Mayer overall

  1. Haofei Xu
  2. Yi Zhu
  3. Sergey I. Nikolenko
  4. Junhwa Hur
  5. Shenlong Wang
  6. Pavel Tokmakov
  7. Fatma Güney
  8. Andreas Geiger
  9. Stefan Roth
  10. Tonmoy Saikia

Papers from Nikolaus Mayer's perspective

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

Their papers