Maans Larsson

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maans Larsson trusts overall

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

  1. Alex Kendall
  2. Johannes L. Schönberger
  3. Diederik P. Kingma
  4. Ondřej Chum
  5. David G. Lowe
  6. Torsten Sattler

Papers from Maans Larsson's perspective

Ordered by how strongly the researchers Maans 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. Distinctive Image Features from Scale-Invariant Keypoints
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers