Cedric Cagniart

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cedric Cagniart trusts overall

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

  1. David G. Lowe
  2. John F. Canny
  3. Navneet Dalal

Who trusts Cedric Cagniart overall

  1. Vincent Lepetit
  2. Stefan Hinterstoißer
  3. Bangpeng Yao
  4. Yu Xiang
  5. Martin Sundermeyer
  6. Frank Michel
  7. Paul Wohlhart
  8. Mahdi Rad
  9. Reyes Rios-Cabrera
  10. Eric Brachmann

Papers from Cedric Cagniart's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Histograms of oriented gradients for human detection
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers