D. Bull

Computer Vision and Pattern Recognition · Information Fusion · 2007–2020

A researcher in the Science corpus: 3 papers; trusts 1,410 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom D. Bull trusts overall

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

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

Who trusts D. Bull overall

  1. Yu Liu
  2. Yihan Cao
  3. Shutao Li

Papers from D. Bull's perspective

Ordered by how strongly the researchers D. Bull 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers