Juan Eugenio Iglesias

Computer Vision and Pattern Recognition · 2011–2021

A researcher in the Science corpus: 7 papers; trusts 59 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Juan Eugenio Iglesias trusts overall

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

  1. B. van Ginneken
  2. Daniel Rueckert
  3. Bruce Fischl
  4. Rolf A. Heckemann
  5. Stephen M. Smith
  6. Yuri Boykov
  7. Stefan Klein
  8. Paul Aljabar
  9. R. Fisher
  10. John Ashburner

Who trusts Juan Eugenio Iglesias overall

  1. Phi Vu Tran
  2. Zhipeng Ding
  3. Sérgio Pereira
  4. Maria Vakalopoulou
  5. Christoph Baur
  6. José Bernal
  7. Jens Kleesiek
  8. Hoo-Chang Shin
  9. Simon Fristed Eskildsen
  10. Xu Han

Papers from Juan Eugenio Iglesias's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers