Javier Portilla

Computer Vision and Pattern Recognition · 2000–2008

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 2,582 researchers here, as inferred from the citation graph.

Subfields

Whom Javier Portilla trusts overall

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

  1. David J. Field
  2. Song-Chun Zhu
  3. Stuart Geman
  4. Stéphane Mallat
  5. Martin J. Wainwright
  6. William T. Freeman
  7. Mário A. T. Figueiredo
  8. Eero P. Simoncelli
  9. Daniel L. Ruderman
  10. Barbara Olshausen

Who trusts Javier Portilla overall

  1. Zhou Wang
  2. A. Bovik
  3. Eero P. Simoncelli
  4. Leon A. Gatys
  5. Hamid R. Sheikh
  6. Nikos Komodakis
  7. Song-Chun Zhu
  8. Michael Elad
  9. Li Fei-Fei
  10. Andrea Vedaldi

Papers from Javier Portilla's perspective

Ordered by how strongly the researchers Javier Portilla 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers