Marie Liénou

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Marie Liénou trusts overall

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

  1. David M. Blei
  2. Michael I. Jordan
  3. Li Fei-Fei
  4. Xiaogang Wang
  5. Josef Sivic
  6. Geoffrey E. Hinton
  7. Andrew Y. Ng
  8. Pietro Perona
  9. Radford M. Neal
  10. Andrew Zisserman

Who trusts Marie Liénou overall

  1. Yanfei Zhong
  2. Bei Zhao
  3. Liangpei Zhang
  4. Gui-Song Xia
  5. Harini Sridharan
  6. Anil M. Cheriyadat
  7. Reza Bahmanyar
  8. Yasen Zhang
  9. Fan Hu
  10. Xiwen Yao

Papers from Marie Liénou's perspective

Ordered by how strongly the researchers Marie Liénou 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. 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. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers