Hugo Proencca

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hugo Proencca trusts

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

  1. Luisa Verdoliva (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  6. Timo Aila (in Computer Vision and Pattern Recognition)
  7. Samuli Laine (in Computer Vision and Pattern Recognition)
  8. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  9. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Hugo Proencca's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. GENERATIVE ADVERSARIAL NETS
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Progressive Growing of GANs for Improved Quality, Stability, and Variation
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers