Janne Heikkilä

Computer Vision and Pattern Recognition · 2000–2016

A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 64 researchers here, as inferred from the citation graph.

Subfields

Whom Janne Heikkilä trusts overall

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

  1. Timo Ojala
  2. Matti Pietikäinen
  3. Topi Mäenpää
  4. Alex Krizhevsky
  5. Vladimir Kolmogorov
  6. Gil Levi
  7. Alexandre de Brébisson
  8. Radhakrishna Achanta

Who trusts Janne Heikkilä overall

  1. Juho Kannala
  2. Chong Wang
  3. D. Herrera C.
  4. Xiaogang Wang
  5. Anne Humeau-Heurtier
  6. Zhong Liu
  7. Esa Rahtu
  8. Fabio Alexandre Spanhol
  9. Gil Levi
  10. Emanuela Marasco

Papers from Janne Heikkilä's perspective

Ordered by how strongly the researchers Janne Heikkilä 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers