Rob Heylen

Media Technology · 2014

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rob Heylen trusts overall

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

  1. Antonio J. Plaza
  2. Marian-Daniel Iordache
  3. Ben Somers
  4. Sam T. Roweis
  5. Gustau Camps-Valls
  6. Daniel C. Heinz
  7. Chengquan Huang
  8. José M. Bioucas-Dias
  9. Josh Tenenbaum
  10. Nicolas Dobigeon

Papers from Rob Heylen's perspective

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

Their papers