Maosen Li

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maosen Li trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. L. Eon Bottou
  5. Graham W. Taylor
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Kaiming He

Who trusts Maosen Li overall

  1. Ke Cheng
  2. Yisheng Song
  3. Wei Peng
  4. Wenjie Zhu
  5. Ken Ziyu Liu
  6. Hyung-gun Chi
  7. Haodong Duan
  8. Yuxin Chen
  9. Yifan Zhang
  10. Zhang Zhang

Papers from Maosen Li's perspective

Ordered by how strongly the researchers Maosen Li 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  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