Stefan Welker

Computer Vision and Pattern Recognition · 2018–2025

A researcher in the Science corpus: 6 papers; trusts 174 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Welker trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Ross B. Girshick
  9. Andrew Zisserman
  10. Christian Szegedy

Who trusts Stefan Welker overall

  1. Andy Zeng
  2. Fei Xia
  3. Peter R. Florence
  4. Shuran Song
  5. Mohit Shridhar

Papers from Stefan Welker's perspective

Ordered by how strongly the researchers Stefan Welker 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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