Jo Vermeulen

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jo Vermeulen trusts overall

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

  1. R. Hartson
  2. Anind K. Dey
  3. Olivier Bau
  4. Brian Y. Lim
  5. Joanna McGrenere
  6. Victoria Bellotti
  7. Been Kim
  8. Joachim Diederich
  9. Jason Chuang
  10. Tameru Hailesilassie

Who trusts Jo Vermeulen overall

  1. Leilani H. Gilpin
  2. Giulia Vilone
  3. Jessica Morley
  4. Yao Ming
  5. Ashraf Abdul

Papers from Jo Vermeulen's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers