Chong Yu

Computer Vision and Pattern Recognition · 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 Chong Yu trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Chong Yu's perspective

Ordered by how strongly the researchers Chong Yu 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. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Microsoft COCO: Common Objects in Context
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  8. ImageNet classification with deep convolutional neural networks
  9. Learning both Weights and Connections for Efficient Neural Network
  10. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Their papers