Michal J. Wesolowski

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michal J. Wesolowski trusts overall

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

  1. Leo Breiman
  2. Alex Krizhevsky

Papers from Michal J. Wesolowski's perspective

Ordered by how strongly the researchers Michal J. Wesolowski 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. Bagging Predictors
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. A Theoretical Analysis of Feature Pooling in Visual Recognition
  7. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  8. Long Short-Term Memory
  9. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers