Christian Payer

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Payer trusts overall

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

  1. Jonathan Tompson
  2. Yann LeCun
  3. Alex Krizhevsky
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Evan Shelhamer
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Olaf Ronneberger

Who trusts Christian Payer overall

  1. Dang Lien Minh
  2. H. Xiang Wang

Papers from Christian Payer's perspective

Ordered by how strongly the researchers Christian Payer 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers