Tianyang Shi

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianyang Shi trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Jitendra Malik (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Tianyang Shi's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (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. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers