Margaux Luck

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Margaux Luck trusts overall

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

  1. Jun-Yan Zhu
  2. Phillip Isola
  3. Ming-Yu Liu
  4. Tran Minh Quan
  5. Dong Nie
  6. Vincent Dumoulin
  7. Jelmer M. Wolterink
  8. Alexei A. Efros

Who trusts Margaux Luck overall

  1. Joseph Paul Cohen

Papers from Margaux Luck's perspective

Ordered by how strongly the researchers Margaux Luck 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. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. GENERATIVE ADVERSARIAL NETS
  8. ImageNet Large Scale Visual Recognition Challenge
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers