Stefanie Wuhrer

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 4 papers; trusts 90 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Stefanie Wuhrer trusts overall

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

  1. Volker Blanz
  2. Lijun Yin
  3. Matthew D. Zeiler
  4. Lieven De Lathauwer
  5. Elad Richardson
  6. Thomas Vetter
  7. Daniel Vlasic
  8. Kaiming He
  9. Brian Amberg
  10. Matan Sela

Who trusts Stefanie Wuhrer overall

  1. Anurag Ranjan
  2. James Booth
  3. Timo Bolkart

Papers from Stefanie Wuhrer's perspective

Ordered by how strongly the researchers Stefanie Wuhrer 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. GENERATIVE ADVERSARIAL NETS
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers