Peng Li

Computer Vision and Pattern Recognition · with Ying · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 130 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Li trusts overall

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

  1. Yurii E. Nesterov
  2. Geoffrey E. Hinton
  3. Andrew Y. Ng
  4. Lior Wolf
  5. Kilian Q. Weinberger
  6. Timo Ojala
  7. Gary B. Huang
  8. Eric P. Xing
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Peng Li overall

  1. Thomas Berg
  2. Dan Garber
  3. Junlin Hu
  4. Qiong Cao
  5. Bruce A. Cox
  6. Eric Learned-Miller
  7. Z. Li
  8. 刘晗
  9. Michaël Perrot
  10. Peter N. Belhumeur

Papers from Peng Li's perspective

Ordered by how strongly the researchers Peng 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers