Yu Feng

Computer Vision and Pattern Recognition · with Fu · 2024

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Feng trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  3. David G. Lowe (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Yu Feng's perspective

Ordered by how strongly the researchers Yu Feng 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. Microsoft COCO: Common Objects in Context
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers