Robert Reihs

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Robert Reihs trusts overall

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

  1. Daniel A. Keim
  2. Catherine Plaisant
  3. Andreas Holzinger
  4. Melanie Tory

Who trusts Robert Reihs overall

  1. Andreas Holzinger

Papers from Robert Reihs's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Backpropagation Applied to Handwritten Zip Code Recognition
  3. Deep Learning
  4. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  5. Visualizing and Understanding Convolutional Networks
  6. Building high-level features using large scale unsupervised learning
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Mastering the game of Go with deep neural networks and tree search
  9. Building Machines that Learn and Think Like People
  10. A global geometric framework for nonlinear dimensionality reduction.

Their papers