Oliver Mattausch

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oliver Mattausch trusts overall

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

  1. Nathan Silberman
  2. Aleksey Golovinskiy
  3. Andrej Karpathy
  4. Rob Fergus
  5. Mark Pauly
  6. Niloy J. Mitra
  7. Tianjia Shao
  8. Thomas A. Funkhouser
  9. Li Fei-Fei
  10. Stephen D. Miller

Who trusts Oliver Mattausch overall

  1. Áron Monszpart
  2. Andelo Martinovic

Papers from Oliver Mattausch's perspective

Ordered by how strongly the researchers Oliver Mattausch 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. Long Short-Term Memory
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers