Chaoting Xu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chaoting Xu trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick

Papers from Chaoting Xu's perspective

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

Their papers