Maxime Lhuillier

Computer Vision and Pattern Recognition · 2005–2007

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Maxime Lhuillier trusts overall

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

  1. David Nistér
  2. Ross T. Whitaker
  3. Stanley J. Osher
  4. Vladimir Kolmogorov
  5. Brian Curless
  6. Hongkai Zhao
  7. Hugues Hoppe
  8. Olivier D. Faugeras
  9. Satyanad Kichenassamy
  10. Ramin Zabih

Who trusts Maxime Lhuillier overall

  1. Yasutaka Furukawa
  2. Jean Ponce
  3. Martin Habbecke
  4. Mark W. Smith
  5. Yao Yao
  6. Xiaodong Gu
  7. Kurt Konolige
  8. Leif Kobbelt
  9. Jonathan L. Carrivick
  10. Zixin Luo

Papers from Maxime Lhuillier's perspective

Ordered by how strongly the researchers Maxime Lhuillier 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers