Julie Delon

Computer Vision and Pattern Recognition · 2010–2019

A researcher in the Science corpus: 4 papers; trusts 193 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Julie Delon trusts overall

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

  1. Krystian Mikolajczyk
  2. David G. Lowe
  3. Cordelia Schmid
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Christian Szegedy
  8. Kaiming He
  9. Ross B. Girshick
  10. Andrew L. Maas

Who trusts Julie Delon overall

  1. Mohammad Rostami
  2. Soheil Kolouri
  3. Brendan Pass
  4. Marco Cuturi
  5. Filippo Santambrogio
  6. Fan Hu
  7. Gui-Song Xia
  8. G. Peyr'e
  9. Nicolas Bonnotte
  10. Jingwen Hu

Papers from Julie Delon's perspective

Ordered by how strongly the researchers Julie Delon 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. ImageNet: A large-scale hierarchical image database
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers