Xiaoming Liu

Computer Vision and Pattern Recognition · with Jain · 2022

A researcher in the Science corpus: 1 paper; trusts 133 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoming Liu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Jiankang Deng
  7. X. Zhang
  8. Shaoqing Ren
  9. Yann LeCun
  10. Karen Simonyan

Papers from Xiaoming Liu's perspective

Ordered by how strongly the researchers Xiaoming 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. Going deeper with convolutions
  4. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers