Martin Reuter

Computer Vision and Pattern Recognition · NeuroImage · 2006–2019

A researcher in the Science corpus: 12 papers; trusts 178 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Reuter trusts overall

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

  1. Bruce Fischl
  2. Mikhail Belkin
  3. Mark Jenkinson
  4. Zachi Karni
  5. Brian B. Avants
  6. Bruno Lévy
  7. Craig Gotsman
  8. Stephen M. Smith
  9. Philippe Thévenaz
  10. H. Rosas

Who trusts Martin Reuter overall

  1. Bruce Fischl
  2. Jorge L. Bernal-Rusiel
  3. Michael M. Bronstein
  4. A. Bronstein
  5. Bruno Lévy
  6. Facundo M'emoli
  7. Lara M. Wierenga
  8. M. Dylan Tisdall
  9. Douglas N. Greve
  10. Roee Litman

Papers from Martin Reuter's perspective

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

Their papers