Nicolas Papadakis

Computer Vision and Pattern Recognition · 2003–2015

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Papadakis trusts overall

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

  1. David G. Lowe
  2. Nathan Silberman
  3. Jamie Shotton
  4. Bernard Walter Silverman
  5. Navneet Dalal
  6. Rob Fergus
  7. John M. Winn
  8. Xuming He

Papers from Nicolas Papadakis's perspective

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

  1. Histograms of oriented gradients for human detection
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Indoor Segmentation and Support Inference from RGBD Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Object recognition from local scale-invariant features

Their papers