Lijun Yu

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 4 papers; trusts 244 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lijun Yu trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Jonathan Ho
  9. Karen Simonyan
  10. Ross B. Girshick

Who trusts Lijun Yu overall

  1. Agrim Gupta
  2. D. Kondratyuk
  3. Keyu Tian
  4. Xun Huang
  5. Haoxin Chen
  6. Chuan Guo
  7. Yi Jiang
  8. Yixin Liu
  9. Xiuye Gu
  10. José Lezama

Papers from Lijun Yu's perspective

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

Their papers