Yongming Rao

Computer Vision and Pattern Recognition · with Wang · 2023

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongming Rao trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Jitendra Malik (in Computer Vision and Pattern Recognition)
  7. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  8. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  9. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  10. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Yongming Rao's perspective

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

  1. Microsoft COCO: Common Objects in Context
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Decoupled Weight Decay Regularization
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Microsoft COCO Captions: Data Collection and Evaluation Server
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers