Gustav Häger

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 9 papers; trusts 718 researchers and is trusted by 456 researchers here, as inferred from the citation graph.

Subfields

Whom Gustav Häger trusts overall

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

  1. Martin Danelljan
  2. Ming-Hsuan Yang
  3. Yi Wu
  4. João F. Henriques
  5. Kaiming He
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Ross B. Girshick
  9. Karen Simonyan
  10. Laura Sevilla-Lara

Who trusts Gustav Häger overall

  1. Martin Danelljan
  2. Yibing Song
  3. Luca Bertinetto
  4. Goutam Bhat
  5. Hamed Kiani Galoogahi
  6. Chao Ma
  7. Fahad Shahbaz Khan
  8. Tianyu Yang
  9. Matej Kristan
  10. Ning Wang

Papers from Gustav Häger's perspective

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

Their papers