Xin Tong

Computer Vision and Pattern Recognition · 2000–2024

A researcher in the Science corpus: 9 papers; trusts 283 researchers and is trusted by 13 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. Li-Yi Wei
  2. Kaiming He
  3. Volker Blanz
  4. Diederik P. Kingma
  5. Emil Praun
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Ronen Basri
  9. Hao Li
  10. Marc Levoy

Who trusts Xin Tong overall

  1. Eric Risser
  2. Connelly Barnes
  3. Justus Thies
  4. Michael Zollhöfer
  5. Dan B. Goldman
  6. Hyeongwoo Kim

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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers