Shengyong Chen

Computer Vision and Pattern Recognition · with Wang · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shengyong Chen trusts overall

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

  1. Thomas Kollar
  2. Eric Royer
  3. Nicholas A. Roy
  4. Kaiming He
  5. Ajay Kumar
  6. Maxime Lhuillier
  7. Andreas Nüchter
  8. Shaoqing Ren
  9. Martin Danelljan
  10. Ross B. Girshick

Who trusts Shengyong Chen overall

  1. Andy Zeng
  2. Geoffrey A. Hollinger

Papers from Shengyong Chen's perspective

Ordered by how strongly the researchers Shengyong 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 Large Scale Visual Recognition Challenge
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Microsoft COCO: Common Objects in Context
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers