Tian Ye

Computer Vision and Pattern Recognition · with Liu · 2024

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

Subfields

Whom Tian Ye trusts overall

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

  1. Andriy Myronenko
  2. Ali Hatamizadeh
  3. Jun Ma
  4. Fabian Isensee

Who trusts Tian Ye overall

  1. Jiacheng Ruan

Papers from Tian Ye's perspective

Ordered by how strongly the researchers Tian Ye trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers