Peigen Luo

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 253 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peigen Luo trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Sergey Ioffe
  5. Alex Krizhevsky
  6. Christian Szegedy
  7. Vinod Nair
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Peigen Luo overall

  1. Runmin Cong

Papers from Peigen Luo's perspective

Ordered by how strongly the researchers Peigen Luo 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers