Patrick Labatut

Computer Vision and Pattern Recognition · 2007–2025

A researcher in the Science corpus: 9 papers; trusts 476 researchers and is trusted by 78 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Labatut trusts overall

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

  1. David G. Lowe
  2. Yuri Boykov
  3. Vladimir Kolmogorov
  4. S. M. Seitz
  5. Kaiming He
  6. Christopher Evans
  7. David Levin
  8. Ross T. Whitaker
  9. Geoffrey E. Hinton
  10. Diederik P. Kingma

Who trusts Patrick Labatut overall

  1. Michal Jancosek
  2. Christian Häne
  3. Yasutaka Furukawa
  4. Gernot Riegler
  5. Tomás Pajdla
  6. Jiarong Lin
  7. Qiancheng Fu
  8. Peter Hedman
  9. Abhishek Kar
  10. Silvano Galliani

Papers from Patrick Labatut's perspective

Ordered by how strongly the researchers Patrick Labatut 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers