Sining Wei

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sining Wei trusts overall

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

  1. Justin Johnson
  2. Diederik P. Kingma

Papers from Sining Wei's perspective

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

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

Their papers