Mingfu Liang

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 5 papers; trusts 751 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mingfu Liang trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ross B. Girshick
  6. Sergey Ioffe
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Christian Szegedy
  10. X. Zhang

Who trusts Mingfu Liang overall

  1. Zhongzhan Huang
  2. Senwei Liang

Papers from Mingfu Liang's perspective

Ordered by how strongly the researchers Mingfu Liang 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers