Dominik Lorenz

Computer Vision and Pattern Recognition · 2021–2025

A researcher in the Science corpus: 5 papers; trusts 569 researchers and is trusted by 579 researchers here, as inferred from the citation graph.

Subfields

Whom Dominik Lorenz trusts overall

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

  1. Diederik P. Kingma
  2. Jonathan Ho
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Kaiming He
  7. Tero Karras
  8. Ilya Sutskever
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Dominik Lorenz overall

  1. Tianwei Yin
  2. Andreas Blattmann
  3. Patrick Esser
  4. Richard Zhang
  5. Axel Sauer
  6. Xintao Wang
  7. Renrui Zhang
  8. Ruiqi Gao
  9. Sihyun Yu
  10. Junsong Chen

Papers from Dominik Lorenz's perspective

Ordered by how strongly the researchers Dominik Lorenz 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers