Zhenqi Fu

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhenqi Fu trusts overall

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

  1. Wenhan Yang
  2. Zhou Wang
  3. Chen Wei
  4. Wenjing Wang
  5. Chulwoo Lee
  6. Jiaying Liu
  7. Kin Gwn Lore
  8. Kede Ma
  9. Jianrui Cai
  10. Yonghua Zhang

Papers from Zhenqi Fu's perspective

Ordered by how strongly the researchers Zhenqi Fu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers