Viktor Larsson

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Viktor Larsson trusts overall

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

  1. Diederik P. Kingma
  2. David G. Lowe
  3. Geoffrey E. Hinton
  4. Songyou Peng
  5. Zachary Teed
  6. Jia Deng
  7. Qian-Yi Zhou
  8. Vladlen Koltun
  9. Jonathan T. Barron

Papers from Viktor Larsson's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers