Stéphane Lathuilière

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 7 papers; trusts 899 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Stéphane Lathuilière trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Yann LeCun
  9. Karen Simonyan
  10. Andrew Zisserman

Who trusts Stéphane Lathuilière overall

  1. Jian Zhao
  2. Aliaksandr Siarohin
  3. Zhimeng Zhang
  4. Andrea Pilzer
  5. Yisroel Mirsky
  6. Nicu Sebe
  7. Lin Wang
  8. Yin-Yin He
  9. Elisa Ricci
  10. Fredrik K. Gustafsson

Papers from Stéphane Lathuilière's perspective

Ordered by how strongly the researchers Stéphane Lathuilière 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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