Tien-Tsin Wong

Computer Vision and Pattern Recognition · ACM Transactions on Graphics · 2006–2021

A researcher in the Science corpus: 5 papers; trusts 299 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Tien-Tsin Wong trusts overall

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

  1. Stanley J. Osher
  2. Kaiming He
  3. Diederik P. Kingma
  4. David G. Lowe
  5. William T. Freeman
  6. Geoffrey E. Hinton
  7. Vladimir Kolmogorov
  8. Andrew Zisserman
  9. Alex Krizhevsky
  10. Anat Levin

Who trusts Tien-Tsin Wong overall

  1. Zezhou Cheng
  2. Xiaobo An
  3. Satoshi Iizuka
  4. Gustav Larsson

Papers from Tien-Tsin Wong's perspective

Ordered by how strongly the researchers Tien-Tsin Wong 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers