Joanna Materzynska

Computer Vision and Pattern Recognition · with López · 2016

A researcher in the Science corpus: 1 paper; trusts 116 researchers and is trusted by 273 researchers here, as inferred from the citation graph.

Subfields

Whom Joanna Materzynska trusts overall

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

  1. Karen Simonyan
  2. Diederik P. Kingma
  3. Kaiming He
  4. Alex Krizhevsky
  5. Andrew Zisserman
  6. Geoffrey E. Hinton
  7. Ross B. Girshick
  8. Yann LeCun
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Joanna Materzynska overall

  1. Lukas Hoyer
  2. Yang Zhang
  3. Yuhua Chen
  4. Luc Van Gool
  5. Yanchao Yang
  6. Dengxin Dai
  7. Sergey I. Nikolenko
  8. Gabriella Csurka
  9. Yi-Hsuan Tsai
  10. Yang Zou

Papers from Joanna Materzynska's perspective

Ordered by how strongly the researchers Joanna Materzynska 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers