Mathias Gehrig

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mathias Gehrig trusts overall

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

  1. Alex Zihao Zhu
  2. Andreas Geiger
  3. Paul Timothy Furgale
  4. Haoyang Ye
  5. Henri Rebecq
  6. William P. Maddern
  7. Vitor Campanholo Guizilini
  8. Daniel Scharstein
  9. Jinyong Jeong
  10. Jonas Uhrig

Who trusts Mathias Gehrig overall

  1. Wei Yin

Papers from Mathias Gehrig's perspective

Ordered by how strongly the researchers Mathias Gehrig 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers