Weijing Shi

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 180 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Weijing Shi trusts overall

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

  1. Charles Ruizhongtai Qi
  2. Kaiming He
  3. Yin Zhou
  4. Andreas Geiger
  5. Geoffrey E. Hinton
  6. Ross B. Girshick
  7. Hao Su
  8. Binh Yang
  9. Alex Krizhevsky
  10. Raquel Urtasun

Who trusts Weijing Shi overall

  1. Savannah Thais
  2. Wu Zheng
  3. Rui Qian
  4. Guoguang Du
  5. Xuran Pan
  6. Gage DeZoort
  7. Weiliang Tang
  8. Xin Lai
  9. Kai Wang
  10. Li Jiang

Papers from Weijing Shi's perspective

Ordered by how strongly the researchers Weijing Shi 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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