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Institute
D1
Algorithms and Complexity
D2
Computer Vision and Machine Learning
D3
Internet Architecture
D4
Computer Graphics
D5
Databases and Information Systems
D6
Visual Computing and Artificial Intelligence
RG1
Automation of Logic
RG2
Network and Cloud Systems
RG3
Multimodal Language Processing
Computer Vision and Machine Learning
People
Research
People Detection, Pose Estimation and Tracking
Visual Privacy
Adversarial Robustness
Zero-Shot Learning
Generative Models
Vision and Language
Human Activity Recognition
Knowledge Transfer and Semi-supervised Learning
Weakly Supervised Learning
Image Segmentation
Video Segmentation
Object Recognition and Scene Understanding
Gaze-Based Human-Computer Interaction
3D Reconstruction and Perception of People
Generative Models of 3D People
Human Pose Estimation from Video and IMU
Application
Postdoc Applications
PhD Applications
Bachelor and Master theses
HiWi / student assistants
Teaching at Saarland University (UdS)
Courses
SS 2025 High-Level Computer Vision
SS 2024 Explainable Machine Learning (ExML) Seminar
SS 2025 Generative Models in Computer Vision (GMCV) Seminar
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Software and Datasets
humanshape
MPII Human Pose Models
deepcut
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MPII Human Pose Dataset
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Computer Vision and Machine Learning
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Paul Swoboda
Paul Swoboda (Senior Researcher)
Personal Information
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http://paulswoboda.net
