Matthew W. Moskewicz

Computer Vision and Pattern Recognition · 2001–2016

A researcher in the Science corpus: 7 papers; trusts 314 researchers and is trusted by 65 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew W. Moskewicz trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Ross B. Girshick
  6. Ilya Sutskever
  7. Yann LeCun
  8. Yoshua Bengio
  9. Karen Simonyan
  10. Sergey Ioffe

Who trusts Matthew W. Moskewicz overall

  1. Armin Biere
  2. Kenneth L. McMillan
  3. Tobias Achterberg
  4. Martin Gebser
  5. Edmund M. Clarke
  6. Frank Hutter
  7. Gilles Audemard
  8. Paul Beame
  9. Bernd Finkbeiner
  10. Jussi Rintanen

Papers from Matthew W. Moskewicz's perspective

Ordered by how strongly the researchers Matthew W. Moskewicz 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers