Shaoxin Li

Computer Vision and Pattern Recognition · with Chen · 2014

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shaoxin Li trusts overall

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

  1. Michel François Valstar
  2. Geoffrey E. Hinton
  3. Vinod Nair
  4. Pedro F. Felzenszwalb
  5. Yann LeCun
  6. Ross B. Girshick
  7. Wanli Ouyang
  8. Alex Krizhevsky
  9. Adam Coates
  10. Maja Pantic

Who trusts Shaoxin Li overall

  1. ByoungChul Ko
  2. Shan Li
  3. Hui Ding
  4. Ali Mollahosseini
  5. Zhanpeng Zhang
  6. Kaihao Zhang

Papers from Shaoxin Li's perspective

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

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

Their papers