Vincent De Smet

Computer Vision and Pattern Recognition · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 99 researchers and is trusted by 695 researchers here, as inferred from the citation graph.

Subfields

Whom Vincent De Smet trusts overall

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

  1. Michael Elad
  2. Jianchao Yang
  3. Hong Chang
  4. Roman Zeyde
  5. William T. Freeman
  6. Sam T. Roweis
  7. Joel A. Tropp
  8. Daniel Glasner
  9. Jian Sun
  10. Simon Baker

Who trusts Vincent De Smet overall

  1. Radu Timofte
  2. Chao Dong
  3. Chen Change Loy
  4. Eirikur Agustsson
  5. Luc Van Gool
  6. Yochai Blau
  7. Jiwon Kim
  8. Samuel Schulter
  9. Wei-Sheng Lai
  10. Jia-Bin Huang

Papers from Vincent De Smet's perspective

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

Their papers