Filip Biljecki

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Filip Biljecki trusts overall

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

  1. Ruben Michaël Smelik
  2. Pascal Müller
  3. Liang-Chieh Chen
  4. Peter Wonka
  5. Gerhard Neuhold
  6. Paolo Cignoni
  7. Yao Yao
  8. Marius Cordts
  9. Thomas H. Kolbe
  10. Tim Tutenel

Papers from Filip Biljecki's perspective

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

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

Their papers