Xiao Chen

Computer Vision and Pattern Recognition · with Hu · 2018

A researcher in the Science corpus: 1 paper; trusts 212 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Chen trusts overall

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

  1. Ross B. Girshick
  2. Piotr Doll'ar
  3. Kaiming He
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Shaoqing Ren
  7. Karen Simonyan
  8. Yann LeCun
  9. Jia Deng
  10. Yoshua Bengio

Papers from Xiao Chen's perspective

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

Their papers