Lu Sheng

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 10 papers; trusts 1,078 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Lu Sheng trusts overall

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

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

Who trusts Lu Sheng overall

  1. Hui Li
  2. Dae Young Park
  3. Luke Melas-Kyriazi
  4. Yingying Deng
  5. Jiadong Liang
  6. Xiaolei Wu
  7. Shaoshuai Shi
  8. Lei Huang
  9. Ming Tao
  10. Songhua Liu

Papers from Lu Sheng's perspective

Ordered by how strongly the researchers Lu Sheng 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Going deeper with convolutions

Their papers