Hugo Proença

Signal Processing · 2005–2010

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Hugo Proença trusts overall

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

  1. Li Ma
  2. Tien-Ping Tan
  3. Yunhong Wang
  4. Dexin Zhang
  5. John G. Daugman

Who trusts Hugo Proença overall

  1. Tien-Ping Tan
  2. Mayank Vatsa
  3. Antitza Dantcheva
  4. Zhaofeng He
  5. Richa Singh
  6. Zhenan Sun
  7. Afzel Noore
  8. Petros Elia
  9. Arun A. Ross

Papers from Hugo Proença's perspective

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

  1. Iris Recognition Based on Multichannel Gabor Filtering
  2. Efficient iris recognition by characterizing key local variations (IEEE Transactions on Image Processing)
  3. Personal Identification Based on Iris Texture Analysis (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  4. Image understanding for iris biometrics: A survey (Computer Vision and Image Understanding)
  5. Digital image processing
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. ImageNet classification with deep convolutional neural networks
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers