Ming-Ting Sun

Computer Vision and Pattern Recognition · with Geiger · 2015

A researcher in the Science corpus: 1 paper; trusts 111 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ming-Ting Sun trusts overall

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

  1. Andreas Geiger
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Heiko Hirschmüller
  5. Kaiming He
  6. Ross B. Girshick
  7. Jianxiong Xiao
  8. Yuri Boykov
  9. Antonio Torralba
  10. Philipp Krahenbuhl

Who trusts Ming-Ting Sun overall

  1. Andreas Geiger

Papers from Ming-Ting Sun's perspective

Ordered by how strongly the researchers Ming-Ting Sun trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Microsoft COCO: Common Objects in Context
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers