Marc Lebrun

Computer Vision and Pattern Recognition · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Marc Lebrun trusts overall

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

  1. Kostadin Dabov
  2. A. Buades
  3. Priyam Chatterjee
  4. Alessandro Foi
  5. Anat Levin
  6. Vladimir Katkovnik
  7. Bartomeu Coll
  8. Karen O. Egiazarian
  9. Daniel Zoran
  10. Peyman Milanfar

Who trusts Marc Lebrun overall

  1. Joshua D. Batson
  2. Loic A. Royer
  3. Matias Tassano
  4. A. Buades
  5. Jingwen Chen
  6. Shi Guo
  7. Jean-Michel Morel
  8. Julie Delon
  9. Jiawei Chen
  10. Zifei Yan

Papers from Marc Lebrun's perspective

Ordered by how strongly the researchers Marc Lebrun 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 Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers