Legg Yeung

Computer Vision and Pattern Recognition · 2022–2025

A researcher in the Science corpus: 2 papers; trusts 125 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Legg Yeung trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Karen Simonyan
  8. Ronald J. Williams
  9. Ilya Sutskever
  10. Shaoqing Ren

Papers from Legg Yeung's perspective

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

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

Their papers