Xin Chen

Computer Vision and Pattern Recognition · with Tian · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 514 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Chen trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Christian Szegedy
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Barret Zoph
  10. Quoc V. Le

Who trusts Xin Chen overall

  1. Xiangxiang Chu
  2. Yuhui Xu
  3. Wuyang Chen
  4. Kevin Alexander Laube
  5. Renqian Luo
  6. Lingxi Xie
  7. Miao Zhang
  8. Xin He
  9. Guohao Li
  10. Niv Nayman

Papers from Xin Chen's perspective

Ordered by how strongly the researchers Xin 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers