Yujun Lin

Computer Vision and Pattern Recognition · 2017–2024

A researcher in the Science corpus: 9 papers; trusts 711 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Yujun Lin trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Yann LeCun
  8. Jimmy Ba
  9. Ross B. Girshick
  10. Jia Deng

Who trusts Yujun Lin overall

  1. Sebastian U. Stich
  2. Felix Sattler
  3. Anastasia Koloskova
  4. Mohammad Mohammadi Amiri
  5. Ji Lin
  6. Guangxu Zhu
  7. Sai Praneeth Karimireddy
  8. Yang Liu
  9. Martin Jaggi
  10. Hongxu Yin

Papers from Yujun Lin's perspective

Ordered by how strongly the researchers Yujun Lin 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers