Shenqi Lai

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 235 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shenqi Lai trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. X. Zhang
  5. Ross B. Girshick
  6. Christian Szegedy
  7. Shaoqing Ren
  8. Jia Deng
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Shenqi Lai overall

  1. Yixiao Ge

Papers from Shenqi Lai's perspective

Ordered by how strongly the researchers Shenqi Lai 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. ImageNet: A large-scale hierarchical image database
  4. Going deeper with convolutions
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers