Matthew Maverick Loper

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 890 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Maverick Loper trusts overall

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

  1. Volker Blanz
  2. Andreas Griewank
  3. Brett Allen
  4. Dragomir Anguelov
  5. Federica Bogo
  6. Thomas Vetter
  7. Vikash K. Mansinghka
  8. Brian Curless
  9. Andrea Walther
  10. A. Bronstein

Who trusts Matthew Maverick Loper overall

  1. Michael J. Black
  2. Javier Romero
  3. Federica Bogo
  4. Hossein Rahmani
  5. Christoph Lassner
  6. Tejas D. Kulkarni
  7. Angjoo Kanazawa
  8. Georgios Pavlakos
  9. Shichen Liu
  10. Gyeongsik Moon

Papers from Matthew Maverick Loper's perspective

Ordered by how strongly the researchers Matthew Maverick Loper 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. Attention is All you Need (Neural Information Processing Systems)
  7. Histograms of oriented gradients for human detection
  8. Long Short-Term Memory
  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