Marcelo Theophilo Folhes

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marcelo Theophilo Folhes trusts

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

  1. Bill Triggs (in Computer Vision and Pattern Recognition)
  2. Navneet Dalal (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Marcelo Theophilo Folhes's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Histograms of oriented gradients for human detection
  3. Caffe: Convolutional Architecture for Fast Feature Embedding
  4. Support-Vector Networks
  5. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  6. Random Forests
  7. Handwritten Digit Recognition with a Back-Propagation Network
  8. Experiments with a New Boosting Algorithm
  9. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
  10. Face Description with Local Binary Patterns: Application to Face Recognition

Their papers