Jan Czarnowski

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jan Czarnowski trusts overall

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

  1. Diederik P. Kingma
  2. Jakob J. Engel
  3. Georg S. W. Klein
  4. Geoffrey E. Hinton
  5. Alex Kendall
  6. Andrew J. Davison
  7. Jimmy Ba
  8. Max Welling
  9. Nathan Silberman
  10. Alex Krizhevsky

Who trusts Jan Czarnowski overall

  1. Zachary Teed
  2. Chengzhou Tang
  3. César Debeunne
  4. Nan Yang
  5. Antoni Rosinol
  6. Peter Karkus
  7. Shuaifeng Zhi
  8. Vincent Casser
  9. Edgar Sucar

Papers from Jan Czarnowski's perspective

Ordered by how strongly the researchers Jan Czarnowski 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers