Axel Sauer

Computer Vision and Pattern Recognition · 2018–2025

A researcher in the Science corpus: 9 papers; trusts 1,240 researchers and is trusted by 102 researchers here, as inferred from the citation graph.

Subfields

Whom Axel Sauer trusts overall

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

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

Who trusts Axel Sauer overall

  1. Tianwei Yin
  2. Tero Karras
  3. Yang Song
  4. Richard Zhang
  5. Eli Shechtman
  6. Michael Gharbi
  7. Nupur Kumari
  8. Jun-Yan Zhu
  9. Andreas Blattmann
  10. Tuomas Kynkaanniemi

Papers from Axel Sauer's perspective

Ordered by how strongly the researchers Axel Sauer trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers