David Verstraete

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Verstraete trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Marina Sokolova
  4. Xiaojie Guo
  5. G. S. Babu
  6. Zhiqiang Chen
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Andrew Zisserman
  10. Chong Zhang

Who trusts David Verstraete overall

  1. Dhiraj Neupane
  2. Jinyang Jiao
  3. Jong-Hoon Seok
  4. Ming Zhao

Papers from David Verstraete's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers