Wilfried Hartmann

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 161 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wilfried Hartmann trusts overall

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

  1. David G. Lowe
  2. Noah Snavely
  3. Andrew Zisserman
  4. Josef Sivic
  5. Yann LeCun
  6. Aude Oliva
  7. David Nistér
  8. Robert T. Collins
  9. Richard Szeliski
  10. Geoffrey E. Hinton

Who trusts Wilfried Hartmann overall

  1. Yao Yao
  2. Hamid Laga
  3. Zehao Yu
  4. Despoina Paschalidou
  5. Po-Han Huang
  6. Zixin Luo
  7. Songyou Peng
  8. Laurent Valentin Jospin
  9. Andreas Geiger

Papers from Wilfried Hartmann's perspective

Ordered by how strongly the researchers Wilfried Hartmann 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. 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