Yingfei Liu

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 351 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Yingfei Liu trusts overall

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

  1. Kaiming He
  2. X. Zhang
  3. Ilya Loshchilov
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Shaoqing Ren
  10. Tsung-Yi Lin

Who trusts Yingfei Liu overall

  1. Shihao Wang
  2. Junjie Huang
  3. Ding Jia
  4. Yunpeng Zhang
  5. Chenyu Yang
  6. Zhijian Liu
  7. Yi Wei
  8. Yanwei Li
  9. Yinhao Li
  10. Qiang Chen

Papers from Yingfei Liu's perspective

Ordered by how strongly the researchers Yingfei Liu 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers