Kunlin Liu

Pattern Recognition · 2020

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

Whom Kunlin Liu trusts overall

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

  1. Davis E. King
  2. Tero Karras
  3. Adrian Bulat
  4. Vladimir I. Iglovikov
  5. Justus Thies
  6. Justin Johnson
  7. Patrick Pérez
  8. Tsun-Yi Yang
  9. Yuval Nirkin
  10. Yao Feng

Papers from Kunlin Liu's perspective

Ordered by how strongly the researchers Kunlin 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. GENERATIVE ADVERSARIAL NETS
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers