Meng-Hsi Wu

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meng-Hsi Wu trusts overall

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

  1. Chih-Jen Lin
  2. Igor Kononenko
  3. Kai-Fu Tang
  4. Alex Krizhevsky
  5. Yangqing Jia
  6. Geoffrey E. Hinton
  7. Jeff Donahue
  8. Richard S. Sutton
  9. Jia Deng
  10. Volodymyr Mnih

Who trusts Meng-Hsi Wu overall

  1. Hao-Cheng Kao
  2. Edward Y. Chang

Papers from Meng-Hsi Wu's perspective

Ordered by how strongly the researchers Meng-Hsi Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers