Lili Meng

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 622 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Lili Meng trusts overall

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

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

Who trusts Lili Meng overall

  1. Tianfu Wu
  2. Xuechen Li
  3. Yiping Lu
  4. Lars Ruthotto
  5. Tobias Hinz
  6. Oron Ashual
  7. Zichao Long
  8. A. Queiruga
  9. George Papamakarios
  10. Zejian Li

Papers from Lili Meng's perspective

Ordered by how strongly the researchers Lili Meng 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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