Ulrich Viereck

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ulrich Viereck trusts overall

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

  1. Bruno Siciliano
  2. Yann LeCun
  3. Simon S. Haykin
  4. Sergey Levine
  5. Rosen Diankov
  6. Yoshua Bengio
  7. L. Eon Bottou
  8. Geoffrey E. Hinton
  9. Yangqing Jia
  10. Walter Wohlkinger

Who trusts Ulrich Viereck overall

  1. Douglas Morrison
  2. Jeffrey Mahler
  3. Peter Corke
  4. Jürgen Leitner
  5. Ken Goldberg

Papers from Ulrich Viereck's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers