S. Napel

Computer Vision and Pattern Recognition · 2010–2023

A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom S. Napel trusts overall

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

  1. David G. Lowe

Who trusts S. Napel overall

  1. Andreas Holzinger

Papers from S. Napel's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Going deeper with convolutions
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Histograms of oriented gradients for human detection
  5. Fully convolutional networks for semantic segmentation
  6. Object recognition from local scale-invariant features
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Regression Shrinkage and Selection via the Lasso
  9. Deep Learning
  10. Learning Spatiotemporal Features with 3D Convolutional Networks

Their papers