Roeland De Geest

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Roeland De Geest trusts overall

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

  1. Karen Simonyan
  2. Florent Perronnin
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Jorge Sánchez
  7. David G. Lowe
  8. Kaiming He
  9. Ivan Laptev
  10. Yoshua Bengio

Who trusts Roeland De Geest overall

  1. Antonino Furnari
  2. Giovanni Maria Farinella
  3. Jiyang Gao
  4. Dima Damen
  5. Zhenheng Yang

Papers from Roeland De Geest's perspective

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

Their papers