Haoyuan Mu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 3 papers; trusts 292 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Haoyuan Mu trusts overall

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

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

Who trusts Haoyuan Mu overall

  1. Zechun Liu
  2. Xiangxiang Chu
  3. Ji Lin
  4. Gaurav Menghani
  5. Changlin Li
  6. Zhijian Liu
  7. Yukang Chen
  8. Haotian Tang
  9. Hanrui Wang
  10. Kai Zhang

Papers from Haoyuan Mu's perspective

Ordered by how strongly the researchers Haoyuan Mu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  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