Michael J. Dinneen

Computer Vision and Pattern Recognition · 2000–2019

A researcher in the Science corpus: 3 papers; trusts 444 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J. Dinneen trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Sergey Ioffe
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. X. Zhang
  10. Karen Simonyan

Who trusts Michael J. Dinneen overall

  1. Samuel Louvan
  2. Ethan Harris
  3. Bernardo Magnini
  4. Christel Baier
  5. Manfred Reichert

Papers from Michael J. Dinneen's perspective

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

Their papers