Peiliang Li

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 276 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Peiliang Li trusts overall

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

  1. Kaiming He
  2. Bo Li
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. David Nistér
  7. Andreas Geiger
  8. Yann LeCun
  9. Xiaozhi Chen
  10. Shaoqing Ren

Who trusts Peiliang Li overall

  1. Tianwei Yin
  2. Guoquan Huang
  3. Shaoshuai Shi
  4. Tai Wang
  5. Henri Rebecq
  6. Tong Qin
  7. Yongjian Chen
  8. Peixuan Li
  9. Shaozu Cao
  10. Davide Scaramuzza

Papers from Peiliang Li's perspective

Ordered by how strongly the researchers Peiliang Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers