Li Zhang

Computer Vision and Pattern Recognition · ACM Transactions on Graphics · 2002–2004

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Li Zhang trusts overall

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

  1. Brian Curless
  2. Volker Blanz
  3. Yoshiaki Shirai
  4. Marc Proesmans
  5. James Davis
  6. Okan Arikan
  7. Simon Baker
  8. David S. Broomhead
  9. Brett Allen
  10. Richard Szeliski

Who trusts Li Zhang overall

  1. Song Zhang
  2. Hao Li
  3. Ira Kemelmacher-Shlizerman
  4. Jason Geng
  5. Federico Tombari
  6. Michael Firman
  7. Samuele Salti
  8. X. Su
  9. Sam Van der Jeught
  10. Thibaut Weise

Papers from Li Zhang's perspective

Ordered by how strongly the researchers Li Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers