Ruizhen Zhao

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ruizhen Zhao trusts

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

  1. Takeo Kanade (in Computer Vision and Pattern Recognition)
  2. Li Liu (in Representation & Self-Supervised Learning)
  3. Ling Shao (in Multimodal Learning)

Who trusts Ruizhen Zhao

  1. Jun Wan (in Computer Vision and Pattern Recognition)
  2. S. Li (in Computer Vision and Pattern Recognition)

Papers from Ruizhen Zhao's perspective

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

  1. Real-time human pose recognition in parts from single depth images
  2. An Iterative Image Registration Technique with an Application to Stereo Vision
  3. Behavior recognition via sparse spatio-temporal features
  4. ImageNet classification with deep convolutional neural networks
  5. Unstructured human activity detection from RGBD images
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. RGBD-HuDaAct: A color-depth video database for human daily activity recognition
  8. Going deeper with convolutions
  9. Gradient-based learning applied to document recognition
  10. Learning Discriminative Representations from RGB-D Video Data

Their papers