Lukas Schneider

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Lukas Schneider trusts overall

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

  1. Kaiming He
  2. Yann LeCun
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Andreas Geiger
  6. Heiko Hirschmüller
  7. Yoshua Bengio
  8. Christian Szegedy
  9. Ross B. Girshick
  10. Diederik P. Kingma

Who trusts Lukas Schneider overall

  1. Jamie Watson
  2. Yinda Zhang

Papers from Lukas Schneider's perspective

Ordered by how strongly the researchers Lukas Schneider 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. Gradient-based learning applied to document recognition
  4. Going deeper with convolutions
  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. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers