Matthias Dorfer

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthias Dorfer trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Sergey Ioffe
  4. Christian Szegedy
  5. Jimmy Ba
  6. Min Lin
  7. Andrew Zisserman
  8. Annamaria Mesaros
  9. Geoffrey E. Hinton
  10. Hongyi Zhang

Who trusts Matthias Dorfer overall

  1. Eduardo Fonseca
  2. Xavier Favory
  3. Xavier Serra

Papers from Matthias Dorfer's perspective

Ordered by how strongly the researchers Matthias Dorfer 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers