Human Behavior/State Understanding
Human Behavior/State Understanding (Job Number: P18INT-01)
Silicon Valley

The title includes multiple positions which focus on developing computer vision, signal processing, and machine learning algorithms for human-vehicle interactions in traffic scenes. The candidate is expected to work on one of the following topics:

  • Visual recognition and analysis of human action, gesture, intention, and spatial/contextual relations
  • Forecast future trajectory of road users in traffic scenes and its reasoning
  • Tactical driver action detection through temporal modeling and cross-modal embedding learning
  • Modeling driver’s situational awareness from scene saliency and driver gaze information
  • Understanding human activities, intentions, and emotions using multimodal sensory input

 

Qualifications:

  • Ph.D. /M.S. candidate in computer science, electrical engineering, or related field
  • Strong research experience in computer vision and machine learning
  • Hands-on experience in one or more of the following: human action recognition, activity recognition, trajectory forecast, temporal modeling
  • Experience in open-source deep learning frameworks such as TensorFlow or PyTorch preferred
  • Excellent programming skills in Python or C++