Research Topics

  • Applied machine learning, e.g., deep neural networks, bayesian networks, random forests
  • Computer vision such as multimodal detection, localization and recognition of people, objects and events, as well as industrial visual and multimodal material inspection.
  • Data Mining of multimodal / mixed signal data (e.g. production data)
  • Indexing and search in image, video and multimodal documents

Current Projects

Domain Adaptation for Computer Vision Applications
Image Captioning of Branded Products
Medical Image Captioning
Visual Question Answering
Deep Image Augmentation and Manipulation
Deep Image Synthesis
Deep 3D Athletics
Deep Sports Pose
Deep Skijump Pose