Mohamed Essam Khalifa

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Essam Khalifa trusts overall

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

  1. Jaeyong Sung
  2. Hema Swetha Koppula

Papers from Mohamed Essam Khalifa's perspective

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

  1. Unstructured human activity detection from RGBD images
  2. Human Activity Detection from RGBD Images
  3. Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation
  4. Learning human activities and object affordances from RGB-D videos
  5. A survey on vision-based human action recognition
  6. A Depth-Based Fall Detection System Using a Kinect® Sensor
  7. Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition
  8. Human activities recognition using depth images
  9. A survey of human motion analysis using depth imagery
  10. A Review on Video-Based Human Activity Recognition

Their papers