Yufeng Zheng

Computer Vision and Pattern Recognition · with Abrevaya · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yufeng Zheng trusts overall

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

  1. Diederik P. Kingma
  2. C. G. Broyden
  3. Timo Bolkart
  4. Matan Atzmon
  5. Thomas Vetter
  6. Volker Blanz
  7. Sami Romdhani
  8. Keunhong Park
  9. Justus Thies
  10. Michael Zollhöfer

Papers from Yufeng Zheng's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. GENERATIVE ADVERSARIAL NETS
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers