Pierre Alliez

Computer Graphics and Computer-Aided Design · 2002–2019

A researcher in the Science corpus: 19 papers; trusts 312 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre Alliez trusts overall

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

  1. Jonathan Richard Shewchuk
  2. Mathieu Desbrun
  3. Xianfeng David Gu
  4. Geoffrey E. Hinton
  5. David Cohen-Steiner
  6. Hugues Hoppe
  7. Michael Garland
  8. Michael S. Floater
  9. Craig Gotsman
  10. Gabriel Taubin

Who trusts Pierre Alliez overall

  1. Bruno Lévy
  2. David Cohen-Steiner
  3. Kai Hormann
  4. Hang Si
  5. Xianfeng David Gu
  6. Alla Sheffer
  7. Eugene Zhang
  8. Marco Attene
  9. Craig Gotsman
  10. Simon Fuhrmann

Papers from Pierre Alliez's perspective

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

Their papers