Sheng Chen

Computer Vision and Pattern Recognition · with Chang · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng Chen trusts overall

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

  1. Kaiming He

Papers from Sheng Chen's perspective

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

Their papers