Michal Uřičář

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 4 papers; trusts 197 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Uřičář trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Kaiming He
  6. Ian J. Goodfellow
  7. Ilya Sutskever
  8. Christian Szegedy
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Michal Uřičář overall

  1. Abdul Jabbar
  2. Senthil Kumar Yogamani
  3. Xi Li

Papers from Michal Uřičář's perspective

Ordered by how strongly the researchers Michal Uřičář 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: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers