Per-Erik Forssén

Computer Vision and Pattern Recognition · 2007–2011

A researcher in the Science corpus: 2 papers; trusts 242 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Per-Erik Forssén trusts overall

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

  1. David G. Lowe
  2. Krystian Mikolajczyk
  3. Tinne Tuytelaars
  4. Cordelia Schmid
  5. Luc Van Gool
  6. Andrew Zisserman
  7. Pedro F. Felzenszwalb
  8. Jiri Matas
  9. Alex Krizhevsky
  10. Geoffrey E. Hinton

Who trusts Per-Erik Forssén overall

  1. Riccardo Satta
  2. David Nistér
  3. Dong Seon Cheng
  4. Henrik Stewénius
  5. Xiaogang Wang
  6. Marco Cristani
  7. Loris Bazzani
  8. Xingyu Jiang
  9. Jiayi Ma
  10. K. V. D. Sande

Papers from Per-Erik Forssén's perspective

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

Their papers