Tien-Tsin Wong

Computer Vision and Pattern Recognition · with Shan · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 0 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. Jonathan Ho
  2. Diederik P. Kingma

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

Their papers