Chao-Liang Weng

Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao-Liang Weng trusts overall

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

  1. Jonathan Ho

Papers from Chao-Liang Weng's perspective

Ordered by how strongly the researchers Chao-Liang Weng 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers