Håkan Lideskog

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 115 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Håkan Lideskog trusts overall

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

  1. Ross B. Girshick
  2. Morgan Quigley
  3. Joseph Redmon
  4. Luis Perez
  5. Mark Everingham
  6. Kaiming He
  7. Jeff Donahue
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Shaoqing Ren

Papers from Håkan Lideskog's perspective

Ordered by how strongly the researchers Håkan Lideskog 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers