Dorit Merhof

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 6 papers; trusts 300 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dorit Merhof trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Yang Song

Papers from Dorit Merhof's perspective

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

Their papers