Matthias Grundmann

Computer Vision and Pattern Recognition · 2010–2020

A researcher in the Science corpus: 9 papers; trusts 194 researchers and is trusted by 402 researchers here, as inferred from the citation graph.

Subfields

Whom Matthias Grundmann trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Derek Hoiem
  3. Feng Liu
  4. Dan Huttenlocher
  5. Jianbo Shi
  6. Dorin Comaniciu
  7. Alexei A. Efros
  8. Navneet Dalal
  9. Gunnar Farnebäck
  10. Kaiming He

Who trusts Matthias Grundmann overall

  1. Fabio Galasso
  2. Joseph Tighe
  3. Suyog Dutt Jain
  4. Wenguan Wang
  5. Yong Jae Lee
  6. Kristen Grauman
  7. Katerina Fragkiadaki
  8. Weiyao Wang
  9. Yi-Hsuan Tsai
  10. Bernt Schiele

Papers from Matthias Grundmann's perspective

Ordered by how strongly the researchers Matthias Grundmann 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Microsoft COCO: Common Objects in Context
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers