Reyer Zwiggelaar

Computer Vision and Pattern Recognition · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Reyer Zwiggelaar trusts

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

  1. Radford M. Neal (in Computer Vision and Pattern Recognition)
  2. Kenneth M. Rose (in Optimization & Training)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Yann LeCun (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  7. David Martin Ward Powers (in Management Information Systems)
  8. Trevor Darrell (in Computer Vision and Pattern Recognition)
  9. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  10. Yoshua Bengio (in Computer Vision and Pattern Recognition)

Papers from Reyer Zwiggelaar's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Going deeper with convolutions
  5. Fully convolutional networks for semantic segmentation
  6. Object Detection with Discriminatively Trained Part Based Models
  7. Caffe: Convolutional Architecture for Fast Feature Embedding
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. Deep Learning
  10. Pattern Recognition and Machine Learning

Their papers