Daniel E. Worrall

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 6 papers; trusts 679 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel E. Worrall trusts overall

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

  1. Geoffrey E. Hinton
  2. Taco Cohen
  3. Alex Krizhevsky
  4. Max Welling
  5. Kaiming He
  6. Diederik P. Kingma
  7. Karen Simonyan
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Daniel E. Worrall overall

  1. David W. Romero
  2. Erik J. Bekkers
  3. Maurice Weiler
  4. Taco Cohen
  5. Max Welling
  6. Mario Geiger
  7. Yi Liao
  8. Risi Kondor
  9. Ivan Sosnovik
  10. Tess E. Smidt

Papers from Daniel E. Worrall's perspective

Ordered by how strongly the researchers Daniel E. Worrall 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers