Jie Liu

Computer Vision and Pattern Recognition · ECCV Workshops · 2007–2023

A researcher in the Science corpus: 4 papers; trusts 426 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Liu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Yulun Zhang
  4. Alex Krizhevsky
  5. Kai Zhang
  6. Radu Timofte
  7. Chao Dong
  8. Jiwon Kim
  9. Diederik P. Kingma
  10. Jia-Bin Huang

Who trusts Jie Liu overall

  1. Jinjin Gu
  2. Xindong Zhang
  3. Risheng Liu
  4. Chao Dong
  5. Jingyun Liang
  6. Zheng Chen
  7. Honggang Chen
  8. Huiyu Zeng
  9. Jie Tang
  10. Long Ma

Papers from Jie Liu's perspective

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

Their papers