Yaohui Cai

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 160 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yaohui Cai trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Song Han
  6. Zhen Dong
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Yaohui Cai overall

  1. Zhen Dong
  2. Hongxu Yin
  3. Matan Haroush
  4. Peisong Wang
  5. Xiuyu Li
  6. Zhenhua Liu
  7. Sehoon Kim
  8. Xiaomeng Xin
  9. Yuhang Li
  10. Zi-Mei Yao

Papers from Yaohui Cai's perspective

Ordered by how strongly the researchers Yaohui Cai 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers