Boxun Li

Computer Vision and Pattern Recognition · with Shao · 2018

A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Boxun Li trusts overall

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

  1. Kaiming He
  2. Piotr Doll'ar
  3. Ross B. Girshick
  4. Shaoqing Ren
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Karen Simonyan
  8. Tsung-Yi Lin
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Boxun Li overall

  1. Xingyi Zhou
  2. Songtao Liu

Papers from Boxun Li's perspective

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

Their papers