Guowang Mu

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Guowang Mu trusts overall

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

  1. Thomas Serre
  2. Xin Geng
  3. Maximilian Riesenhuber
  4. Yun Fu
  5. Tomaso A. Poggio
  6. Lior Wolf
  7. Zhi-Hua Zhou

Who trusts Guowang Mu overall

  1. Hu Han
  2. Yu Zhang
  3. Kuang-Yu Chang
  4. Changsheng Li
  5. Zhenxing Niu
  6. Chu-Song Chen

Papers from Guowang Mu's perspective

Ordered by how strongly the researchers Guowang Mu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Hierarchical models of object recognition in cortex
  2. Object recognition with features inspired by visual cortex
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Statistical Learning Theory
  7. Comparing different classifiers for automatic age estimation (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
  8. Face verification across age progression (Computer Vision and Pattern Recognition)
  9. Robust Object Recognition with Cortex-Like Mechanisms
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers