Markus Mathias

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 5 papers; trusts 544 researchers and is trusted by 742 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Mathias trusts overall

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

  1. Piotr Doll'ar
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Ross B. Girshick
  6. Alex Krizhevsky
  7. Navneet Dalal
  8. Pedro F. Felzenszwalb
  9. Karen Simonyan
  10. Yoshua Bengio

Who trusts Markus Mathias overall

  1. Joy Buolamwini
  2. Rodrigo Benenson
  3. Seong Joon Oh
  4. Rajeev Ranjan
  5. Rasmus Rothe
  6. Junjie Yan
  7. Ping Luo
  8. Piotr Doll'ar
  9. Shuo Yang
  10. Antoine Miech

Papers from Markus Mathias's perspective

Ordered by how strongly the researchers Markus Mathias trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  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