Yuxin Fang

Computer Vision and Pattern Recognition · 6 papers · 2021–2023

A researcher in the Science corpus: 6 papers; trusts 1,008 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yuxin Fang trusts overall

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

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

Who trusts Yuxin Fang overall

  1. Jiyang Qi
  2. Junnan Li
  3. Dongxu Li
  4. Xinggang Wang
  5. Quan-Sen Sun
  6. Yang Liu
  7. Jingfeng Yao
  8. Deyao Zhu
  9. Yichen Gong
  10. Kunchang Li

Papers from Yuxin Fang's perspective

Ordered by how strongly the researchers Yuxin Fang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers