Frederik Maes

Computer Vision and Pattern Recognition · 2001–2020

A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Frederik Maes trusts overall

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

  1. Igor Vajda
  2. Paul A. Viola
  3. Philippe Thévenaz
  4. Daniel Rueckert
  5. Arthur P. Dempster
  6. Michael A. Unser
  7. William M. Wells
  8. Josien P. W. Pluim
  9. Diederik P. Kingma
  10. Greg C. G. Wei

Who trusts Frederik Maes overall

  1. Francisco P. M. Oliveira
  2. Habib Zaidi
  3. Alex P. Zijdenbos
  4. Alan C. Evans
  5. Chris A. Cocosco
  6. João Manuel Ribeiro da Silva Tavares
  7. Mark Holden
  8. Charu C. Aggarwal
  9. Ender Konukoglu
  10. I. E. El Naqa

Papers from Frederik Maes's perspective

Ordered by how strongly the researchers Frederik Maes trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. Fully convolutional networks for semantic segmentation
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers