Yuanyan Tang

Computer Vision and Pattern Recognition · 2009–2019

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanyan Tang trusts overall

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

  1. John F. Canny
  2. Ronen Basri
  3. Ralph Gross
  4. Lei Yu
  5. David M. Strong
  6. Haitao Wang
  7. P. Jonathon Phillips

Who trusts Yuanyan Tang overall

  1. Adín Ramírez Rivera
  2. Jinhui Han

Papers from Yuanyan Tang's perspective

Ordered by how strongly the researchers Yuanyan Tang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
  6. The FERET evaluation methodology for face-recognition algorithms
  7. The CMU Pose, Illumination, and Expression (PIE) database
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers