Yuan Zhang

Computer Vision and Pattern Recognition · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Zhang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Joseph Redmon

Who trusts Yuan Zhang overall

  1. Diana-Margarita Córdova-Esparza
  2. Juan R. Terven

Papers from Yuan Zhang's perspective

Ordered by how strongly the researchers Yuan Zhang 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers