Yu Long Chen

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Long Chen trusts overall

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

  1. Kaiming He
  2. Yann LeCun
  3. Leonid Pishchulin
  4. Jonathan Tompson
  5. Ronan Collobert
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Benjamin Sapp
  10. Ross B. Girshick

Who trusts Yu Long Chen overall

  1. Bin Xiao
  2. Feng Zhang
  3. Ke Sun
  4. Xiao Sun
  5. Adrian Bulat
  6. Zhe Cao
  7. Pichao Wang
  8. Jingdong Wang
  9. Xi Peng
  10. Xuecheng Nie

Papers from Yu Long Chen's perspective

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

Their papers