Yehui Yang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yehui Yang trusts

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

  1. Prafulla Dhariwal (in Computer Vision and Pattern Recognition)
  2. Alex Nichol (in Computer Vision and Pattern Recognition)
  3. Roberto Cipolla (in Computer Vision and Pattern Recognition)
  4. Alex Kendall (in Computer Vision and Pattern Recognition)
  5. Vijay Badrinarayanan (in Computer Vision and Pattern Recognition)
  6. Jonathan Ho (in Computer Vision and Pattern Recognition)
  7. Pieter Abbeel (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Yoshua Bengio (in Computer Vision and Pattern Recognition)

Papers from Yehui Yang's perspective

Ordered by how strongly the researchers Yehui 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers