Jeffrey J. Rodríguez

Computer Vision and Pattern Recognition · 2007–2019

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Jeffrey J. Rodríguez trusts overall

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

  1. Lute Kamstra
  2. C. De Vleeschouwer
  3. Jessica J. Fridrich
  4. Jianhong Shen
  5. Marcelo Bertalmío
  6. Henk J. A. M. Heijmans
  7. Antonio Criminisi

Who trusts Jeffrey J. Rodríguez overall

  1. Xiaolong Li
  2. Dinu Coltuc
  3. Weiming Zhang
  4. Wien Hong
  5. Wei-Liang Tai
  6. Y. Shi
  7. Bin Yang
  8. Kede Ma
  9. Ioan-Catalin Dragoi
  10. Vasiliy Sachnev

Papers from Jeffrey J. Rodríguez's perspective

Ordered by how strongly the researchers Jeffrey J. Rodríguez 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. ImageNet Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. GENERATIVE ADVERSARIAL NETS

Their papers