Stephen J. McKenna

Computer Vision and Pattern Recognition · 2000–2013

A researcher in the Science corpus: 4 papers; trusts 68 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen J. McKenna trusts overall

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

  1. Ivan Laptev
  2. Ron Kohavi
  3. Neil Johnson
  4. Ramesh C. Jain
  5. George Forman
  6. Heng Wang
  7. Marcus Rohrbach
  8. Cordelia Schmid
  9. Josef Kittler
  10. W. Grimson

Who trusts Stephen J. McKenna overall

  1. Saad M. Khan
  2. Hilde Kuehne
  3. Weiming Hu
  4. Colin S. Lea
  5. Fadime Sener
  6. Liang Wang
  7. Mubarak Shah
  8. Tao Zhao
  9. Yazan Abu Farha
  10. Juergen Gall

Papers from Stephen J. McKenna's perspective

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

Their papers