Julio Zaragoza

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julio Zaragoza trusts overall

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

  1. Andrea Vedaldi
  2. Gaël Guennebaud
  3. Takeo Igarashi
  4. Scott Schaefer
  5. Andriy Myronenko
  6. Junhong Gao
  7. Feng Liu
  8. Marc Alexa
  9. Brian Fulkerson
  10. Markus H. Gross

Who trusts Julio Zaragoza overall

  1. Fan Zhang
  2. Feng Liu

Papers from Julio Zaragoza's perspective

Ordered by how strongly the researchers Julio Zaragoza 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. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers