Jérôme Idier

Computer Vision and Pattern Recognition · 2005–2016

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Jérôme Idier trusts overall

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

  1. Chih-Jen Lin
  2. Ali Taylan Cemgil
  3. Andrzej S. Cichocki
  4. David R. Hunter
  5. Chris H. Q. Ding
  6. Cédric Févotte
  7. Julien Mairal
  8. Shun-ichi Amari
  9. Daniel D. Lee
  10. Kenneth L. Lange

Who trusts Jérôme Idier overall

  1. Laura Gustafson
  2. Maarten Grootendorst
  3. Ruohan Gao
  4. Bryan Hooi
  5. Hossein Sharifi-Noghabi
  6. Babak Salimi

Papers from Jérôme Idier's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Projected Gradient Methods for Nonnegative Matrix Factorization
  7. Learning Multiple Layers of Features from Tiny Images
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers