Viorica Patraucean

Computer Vision and Pattern Recognition · 2015–2025

A researcher in the Science corpus: 7 papers; trusts 547 researchers and is trusted by 177 researchers here, as inferred from the citation graph.

Subfields

Whom Viorica Patraucean trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Andrew Zisserman
  6. Kaiming He
  7. Karen Simonyan
  8. Sepp Hochreiter
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Viorica Patraucean overall

  1. Yunbo Wang
  2. Vincent Le Guen
  3. Yong Shean Chong
  4. Linchao Zhu
  5. Mike Roberts
  6. Pavel Tokmakov
  7. Hongyuan Zhu
  8. Clément Godard
  9. Emmanuel de Bézenac
  10. Sergey I. Nikolenko

Papers from Viorica Patraucean's perspective

Ordered by how strongly the researchers Viorica Patraucean 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  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