Xin Tong

Computer Vision and Pattern Recognition · with Cao · 2021

A researcher in the Science corpus: 1 paper; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Tong trusts overall

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

  1. Charles Ruizhongtai Qi
  2. Kaiming He
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Shuran Song
  6. Alex Krizhevsky
  7. Han Hu
  8. Yann LeCun
  9. Yoshua Bengio
  10. Diederik P. Kingma

Papers from Xin Tong's perspective

Ordered by how strongly the researchers Xin Tong 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers