Herve Lombaert

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Herve Lombaert trusts overall

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

  1. Kaiming He
  2. Brian Patenaude

Papers from Herve Lombaert's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Fully convolutional networks for semantic segmentation
  3. Densely Connected Convolutional Networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Identity Mappings in Deep Residual Networks
  6. Gradient-based learning applied to document recognition
  7. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  8. Wide Residual Networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers