Thomas Deselaers

Computer Vision and Pattern Recognition · 2005–2012

A researcher in the Science corpus: 8 papers; trusts 786 researchers and is trusted by 6,364 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Deselaers trusts overall

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

  1. Pedro F. Felzenszwalb
  2. David G. Lowe
  3. Geoffrey E. Hinton
  4. Rob Fergus
  5. Andrew Zisserman
  6. Ross B. Girshick
  7. Li Fei-Fei
  8. Alex Krizhevsky
  9. Bogdan Alexe
  10. Kaiming He

Who trusts Thomas Deselaers overall

  1. Vittorio Ferrari
  2. Xinlei Chen
  3. Li Deng
  4. Abhinav Kumar Gupta
  5. Luc Van Gool
  6. Trevor Darrell
  7. Li Fei-Fei
  8. Ross B. Girshick
  9. Andrea Vedaldi
  10. Armand Joulin

Papers from Thomas Deselaers's perspective

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

Their papers