Lijun Yin

Computer Vision and Pattern Recognition · 2006–2018

A researcher in the Science corpus: 8 papers; trusts 98 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Lijun Yin trusts overall

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

  1. Maja Pantic
  2. Jun Wang
  3. Jeffrey F. Cohn
  4. Ying-li Tian
  5. Yongmian Zhang
  6. Takeo Kanade
  7. Léon J. M. Rothkrantz
  8. Xiaozhou Wei
  9. Yi Sun
  10. Ira Cohen

Who trusts Lijun Yin overall

  1. Alan Brunton
  2. Stefanos P. Zafeiriou
  3. Tadas Baltrusaitis
  4. Timo Bolkart
  5. Dimitrios Kollias
  6. ByoungChul Ko
  7. Xing Zhang
  8. Ciprian Adrian Corneanu
  9. Jeffrey F. Cohn
  10. Ligang Zhang

Papers from Lijun Yin's perspective

Ordered by how strongly the researchers Lijun Yin 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. GENERATIVE ADVERSARIAL NETS
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers