Tianyi Wei

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 3 papers; trusts 201 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianyi Wei trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Tero Karras
  5. Diederik P. Kingma
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Shumeet Baluja
  10. Ilya Sutskever

Who trusts Tianyi Wei overall

  1. Weihao Xia
  2. Tan M. Dinh

Papers from Tianyi Wei's perspective

Ordered by how strongly the researchers Tianyi Wei 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers