Jacques Boonaert

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacques Boonaert trusts

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

  1. Zicheng Liu (in Computer Vision and Pattern Recognition)
  2. Li Fei-Fei (in Computer Vision and Pattern Recognition)

Papers from Jacques Boonaert's perspective

Ordered by how strongly the researchers Jacques Boonaert 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. Action recognition based on a bag of 3D points
  3. HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences
  4. Grouplet: A structured image representation for recognizing human and object interactions
  5. Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction
  6. Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses
  7. Space-Time Pose Representation for 3D Human Action Recognition
  8. ImageNet classification with deep convolutional neural networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers