Yurun Tian

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 249 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yurun Tian trusts overall

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

  1. David G. Lowe
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Krystian Mikolajczyk
  8. Sergey Zagoruyko
  9. Sergey Ioffe
  10. Kaiming He

Who trusts Yurun Tian overall

  1. M. Tyszkiewicz
  2. Jérôme Revaud
  3. Anastasiia V. Mishchuk
  4. Pascal Fua
  5. Zixin Luo
  6. Eduard Trulls
  7. Zan Gojcic
  8. René Schuster
  9. Paul Bergmann
  10. Vincent Leroy

Papers from Yurun Tian's perspective

Ordered by how strongly the researchers Yurun Tian 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. 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. Long Short-Term Memory
  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