Kai-Kuang Ma

Computer Vision and Pattern Recognition · 2000–2023

A researcher in the Science corpus: 8 papers; trusts 42 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Kai-Kuang Ma trusts overall

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

  1. M. J. Turner
  2. Håvard Rue
  3. M. Swain
  4. Kwang In Kim
  5. William T. Freeman
  6. Arthur P. Dempster
  7. Hong Chang
  8. Jianchao Yang
  9. Aaron Hertzmann
  10. Dana H. Ballard

Who trusts Kai-Kuang Ma overall

  1. Yiqiu Dong
  2. Raymond H. Chan
  3. Aroh Barjatya
  4. Yanzhao Zhou
  5. Shufang Xu

Papers from Kai-Kuang Ma's perspective

Ordered by how strongly the researchers Kai-Kuang Ma 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  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. Learning Multiple Layers of Features from Tiny Images

Their papers