Minghua Liu

Computer Vision and Pattern Recognition · Neural Information Processing Systems · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 237 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minghua Liu trusts overall

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

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

Who trusts Minghua Liu overall

  1. Jiale Xu
  2. Vikram S. Voleti
  3. Yinghao Xu
  4. Stanislaw Szymanowicz
  5. Jiaxiang Tang
  6. Ruoxi Shi
  7. Yuan Liu
  8. Xumin Yu
  9. Haozhe Xie
  10. Xiaoxiao Long

Papers from Minghua Liu's perspective

Ordered by how strongly the researchers Minghua 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers