Silvia-Laura Pintea

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Silvia-Laura Pintea trusts overall

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

  1. Javier Portilla
  2. William T. Freeman
  3. Neal Wadhwa
  4. Mohamed A. Elgharib
  5. Frédo Durand

Who trusts Silvia-Laura Pintea overall

  1. Tae-Hyun Oh

Papers from Silvia-Laura Pintea's perspective

Ordered by how strongly the researchers Silvia-Laura Pintea trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Et al
  2. ImageNet classification with deep convolutional neural networks
  3. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. The Design and Use of Steerable Filters
  6. The steerable pyramid: a flexible architecture for multi-scale derivative computation
  7. Motion magnification
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers