Guang Chen

Computer Vision and Pattern Recognition · with Ding · 2013

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Guang Chen trusts overall

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

  1. Paul A. Viola
  2. Pedro F. Felzenszwalb
  3. Ross B. Girshick
  4. Manik Varma
  5. Antonio Torralba
  6. Andrew Zisserman
  7. Piotr Doll'ar
  8. Zhuowen Tu
  9. Andrea Vedaldi
  10. Geoffrey E. Hinton

Who trusts Guang Chen overall

  1. Jan Hendrik Hosang
  2. Wanli Ouyang
  3. Rodrigo Benenson
  4. Rasmus Rothe
  5. Thomas Mensink
  6. Xiaodan Liang
  7. Xiaogang Wang
  8. Bernt Schiele
  9. Efstratios Gavves
  10. Matthieu Guillaumin

Papers from Guang Chen's perspective

Ordered by how strongly the researchers Guang Chen 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers