Wolfgang Wick

Computer Vision and Pattern Recognition · 2002–2021

A researcher in the Science corpus: 36 papers; trusts 41 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Wolfgang Wick trusts overall

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

  1. Kaiming He
  2. Olaf Ronneberger
  3. Diederik P. Kingma
  4. Konstantinos Kamnitsas
  5. Fausto Milletarì
  6. Geoffrey E. Hinton
  7. Evan Shelhamer
  8. Alex Krizhevsky
  9. X. Zhang
  10. Jimmy Ba

Who trusts Wolfgang Wick overall

  1. Fabian Isensee
  2. Simone Fulda
  3. Michael Weller
  4. F. Heitz

Papers from Wolfgang Wick's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Fully convolutional networks for semantic segmentation
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers