Heiko H. Schütt

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Heiko H. Schütt trusts overall

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

  1. Felix Wichmann
  2. N. Jeremy Hill
  3. Trevor J. Hastie
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Robert Tibshirani
  7. Kaiming He
  8. Geoffrey E. Hinton
  9. Christian Szegedy
  10. Andrew Zisserman

Who trusts Heiko H. Schütt overall

  1. Robert Geirhos

Papers from Heiko H. Schütt's perspective

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

Their papers