Wei Yin

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2019–2024

A researcher in the Science corpus: 5 papers; trusts 492 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Wei Yin 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. Jia Deng
  6. Rob Fergus
  7. Diederik P. Kingma
  8. Andreas Geiger
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Wei Yin overall

  1. Xiao Fu
  2. Shariq Farooq Bhat
  3. Luigi Piccinelli
  4. Jin Han Lee
  5. Zhi Tian
  6. Peter Johanns
  7. Lihe Yang
  8. Mu Hu
  9. Roman Bachmann
  10. Chunhua Shen

Papers from Wei Yin's perspective

Ordered by how strongly the researchers Wei Yin 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers