Tong Wu

Computer Vision and Pattern Recognition · with Lin · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tong Wu trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Tsung-Yi Lin
  7. Jia Deng
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Tong Wu overall

  1. Yifan Zhang
  2. Jiale Xu
  3. Xiao Fu
  4. Vikram S. Voleti

Papers from Tong Wu's perspective

Ordered by how strongly the researchers Tong Wu 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. 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