Werner Wiesbeck

Computer Vision and Pattern Recognition · 2001–2019

A researcher in the Science corpus: 6 papers; trusts 205 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Werner Wiesbeck trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Do-Hoon Kwon
  6. Yann LeCun
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Karen Simonyan
  10. Shaoqing Ren

Who trusts Werner Wiesbeck overall

  1. Fan Liu
  2. Weijie Yuan
  3. Mohamed Nabil Srifi
  4. Christos Masouros
  5. Bryan Paul
  6. Zhiqiang Xiao
  7. Nuria González-Prelcic
  8. Carlos Baquero Barneto
  9. Alex Rajan Chiriyath
  10. Preeti Kumari

Papers from Werner Wiesbeck's perspective

Ordered by how strongly the researchers Werner Wiesbeck 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Going deeper with convolutions
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers