Roland Wiest

Computer Vision and Pattern Recognition · 2013–2022

A researcher in the Science corpus: 8 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Roland Wiest trusts overall

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

  1. Yuri Boykov
  2. Arthur P. Dempster
  3. Sean Ho

Who trusts Roland Wiest overall

  1. Sérgio Pereira
  2. A. Işın

Papers from Roland Wiest's perspective

Ordered by how strongly the researchers Roland Wiest 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Densely Connected Convolutional Networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Intriguing properties of neural networks
  8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  9. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  10. Gradient-based learning applied to document recognition

Their papers