Chaoxia Wu

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 848 researchers and is trusted by 168 researchers here, as inferred from the citation graph.

Subfields

Whom Chaoxia Wu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Andrew Zisserman
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Chaoxia Wu overall

  1. Balázs Hidasi
  2. Alex Beutel
  3. Antoine Miech
  4. Yanghao Li
  5. Alexandros Karatzoglou
  6. Minmin Chen
  7. Shoujin Wang
  8. Ruining He
  9. Srijan Kumar
  10. Qian Zhang

Papers from Chaoxia Wu's perspective

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

Their papers