Shaoteng Liu

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 361 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Shaoteng Liu trusts overall

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

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

Who trusts Shaoteng Liu overall

  1. Nassim Ammour
  2. Duygu Ceylan
  3. Shuai Yang
  4. Yakoub Bazi
  5. Zeyinzi Jiang
  6. Xiang Wang
  7. Haikel Salem Alhichri
  8. Gongjie Zhang
  9. Chun-Hao Paul Huang
  10. Yifan Zhou

Papers from Shaoteng Liu's perspective

Ordered by how strongly the researchers Shaoteng Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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