Baoxin Li

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 195 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Baoxin Li trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Michael Elad
  4. Michal Aharon
  5. Julien Mairal
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Andrew Zisserman
  9. Peter N. Belhumeur
  10. Mário A. T. Figueiredo

Who trusts Baoxin Li overall

  1. Meng Yang
  2. Julien Mairal
  3. Gan Sun
  4. Jiajia Luo
  5. Yu Luo
  6. Lei Zhang
  7. Shengping Zhang
  8. Gido M. van de Ven
  9. Jiangpeng He
  10. Yunchen Pu

Papers from Baoxin Li's perspective

Ordered by how strongly the researchers Baoxin Li 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. Gradient-based learning applied to document recognition
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers