Daniel Ricao Canelhas

Computer Vision and Pattern Recognition · 2016

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 Daniel Ricao Canelhas trusts overall

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

  1. Thomas G. Dietterich
  2. Andrew William Fitzgibbon
  3. John C. Hart
  4. Matthew A. Turk
  5. Michal Aharon
  6. Tanner Schmidt
  7. Jürgen Sturm
  8. Ian J. Goodfellow
  9. Richard A. Newcombe
  10. Ian T. Jolliffe

Who trusts Daniel Ricao Canelhas overall

  1. J. Park

Papers from Daniel Ricao Canelhas's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. This PDF file includes: Materials and Methods
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers