J. D. L. Reyes

Computer Vision and Pattern Recognition · 2005–2015

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom J. D. L. Reyes trusts overall

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

  1. Karl Kunisch
  2. Kristian Bredies
  3. Justin Domke
  4. Thomas Pock
  5. Luigi Ambrosio
  6. Michael Hintermüller
  7. Eduardo Casas
  8. Bastian Goldlücke
  9. D. Pallara
  10. Kazufumi Ito

Who trusts J. D. L. Reyes overall

  1. Martin Benning
  2. Gerd Wachsmuth
  3. Peter Ochs
  4. Fabian Pedregosa
  5. Martin Burger
  6. Daniel Wachsmuth
  7. René Ranftl
  8. Thomas Brox
  9. Kazufumi Ito

Papers from J. D. L. Reyes's perspective

Ordered by how strongly the researchers J. D. L. Reyes 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
  10. Learning Multiple Layers of Features from Tiny Images

Their papers