Benedikt Wiestler

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benedikt Wiestler trusts overall

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

  1. Jeff Donahue
  2. Torsten Rohlfing
  3. Diederik P. Kingma
  4. Thomas Schlegl
  5. Ian J. Goodfellow
  6. Philipp Krahenbuhl
  7. Individualized Treat
  8. Geoffrey E. Hinton
  9. Deepak Pathak
  10. Yoshua Bengio

Who trusts Benedikt Wiestler overall

  1. Paul Bergmann
  2. Kilian Batzner
  3. Leixin Zhou
  4. Denis A. Gudovskiy
  5. Christoph Baur
  6. Guodong Wang

Papers from Benedikt Wiestler's perspective

Ordered by how strongly the researchers Benedikt Wiestler 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. GENERATIVE ADVERSARIAL NETS
  4. Gradient-based learning applied to document recognition
  5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers