Florence Bénézit

2005

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 250 researchers here, as inferred from the citation graph.

Whom Florence Bénézit trusts overall

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

  1. Jianbo Shi
  2. Eitan Sharon
  3. Jitendra Malik
  4. Charless C. Fowlkes

Who trusts Florence Bénézit overall

  1. Iasonas Kokkinos
  2. Catalin Ionescu
  3. Michael Maire
  4. Antonio Torralba
  5. Pablo Arbeláez
  6. Derek Hoiem
  7. Zhenguo Li
  8. Xiaodi Hou
  9. Radhakrishna Achanta
  10. Orestis Vantzos

Papers from Florence Bénézit's perspective

Ordered by how strongly the researchers Florence Bénézit trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Normalized cuts and image segmentation
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. The Laplacian Pyramid as a Compact Image Code
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers