Jan Quenzel

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jan Quenzel trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Andreas Geiger
  8. Yoshua Bengio
  9. Jens Behley
  10. Charles Ruizhongtai Qi

Who trusts Jan Quenzel overall

  1. Xu Yan

Papers from Jan Quenzel's perspective

Ordered by how strongly the researchers Jan Quenzel 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: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers