Steven J. Lovegrove

Computer Vision and Pattern Recognition · 2011–2021

A researcher in the Science corpus: 6 papers; trusts 299 researchers and is trusted by 539 researchers here, as inferred from the citation graph.

Subfields

Whom Steven J. Lovegrove trusts overall

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

  1. Georg S. W. Klein
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Richard A. Newcombe
  7. Yann LeCun
  8. Kaiming He
  9. Andrew Zisserman
  10. Ilya Sutskever

Who trusts Steven J. Lovegrove overall

  1. Andrew J. Davison
  2. Christian Forster
  3. Renato F. Salas-Moreno
  4. Thomas Whelan
  5. Jakob J. Engel
  6. Stefan Leutenegger
  7. Daniel Cremers
  8. Matia Pizzoli
  9. Zachary Teed
  10. Christian Kerl

Papers from Steven J. Lovegrove's perspective

Ordered by how strongly the researchers Steven J. Lovegrove 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers