Wei Yang

Computer Vision and Pattern Recognition · with Birchfield · 2023

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Yang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Piotr Doll'ar
  7. Yoshua Bengio
  8. Yann LeCun
  9. Tsung-Yi Lin
  10. X. Zhang

Papers from Wei Yang's perspective

Ordered by how strongly the researchers Wei Yang 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Microsoft COCO: Common Objects in Context

Their papers