Wei-Shi Zheng

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 168 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei-Shi Zheng trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Christian Szegedy
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Karen Simonyan

Papers from Wei-Shi Zheng's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Microsoft COCO: Common Objects in Context

Their papers