Pengju Liu

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Pengju Liu trusts overall

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

  1. Ingrid Daubechies
  2. Kaiming He
  3. Diederik P. Kingma
  4. Sergey Ioffe
  5. Stéphane Mallat
  6. Chao Dong
  7. Geoffrey E. Hinton
  8. Ying Tai
  9. Andrea Vedaldi
  10. Alex Krizhevsky

Who trusts Pengju Liu overall

  1. Chunwei Tian
  2. Nantheera Anantrasirichai
  3. Zhihao Wang
  4. Shi Guo
  5. Jingyun Liang
  6. Ernest K. Ryu
  7. Yawei Li
  8. Chitwan Saharia
  9. D. Bull
  10. Yong Xu

Papers from Pengju Liu's perspective

Ordered by how strongly the researchers Pengju Liu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers