Yi-Hsuan Yang

Computer Vision and Pattern Recognition · 2008–2021

A researcher in the Science corpus: 10 papers; trusts 400 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Yi-Hsuan Yang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Alex Graves
  7. Yann LeCun
  8. Jimmy Ba
  9. Kaiming He
  10. Karen Simonyan

Who trusts Yi-Hsuan Yang overall

  1. Yu-Siang Huang
  2. Zhouyu Fu
  3. Konstantinos Trohidis
  4. Ziyu Wang
  5. Stella Biderman
  6. David Samuel
  7. Hao-Wen Dong
  8. Divya Saxena
  9. Gino Brunner
  10. Grigorios Tsoumakas

Papers from Yi-Hsuan Yang's perspective

Ordered by how strongly the researchers Yi-Hsuan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers