Seminar Media Technology
Selected topics in media technology. The focus is on current research topics and new technologies. The participants study recent publications, prepare a summary in the form of a scientific paper and present the topic to the audience.
Details at the chairs webpage
Supervised Terms
- SS21
- WS20/21
- SS20
- WS19/20
- SS19
SS21: Augmented Reality and Virtual Reality
- AR/VR-based Human-Robot Interfaces
- VR and AR Interfaces for Robot Learning from Demonstration
- Intuitive Teleoperation using Augmented Reality
- Improving Teleoperated Driving Using an Augmented Reality Representation
- Deep Learning for 6D pose estimation and its applications in AR
- Deformable Object Tracking for AR
- Marker-based Augmented Reality
- Visual Place Recognition
- Activity Recognition for Augmented Reality and Virtual Reality
- Augmented and Virtual Haptics
- Generation of Realistic Virtual Views
- Video coding optimization of virtual reality 360-degree Video
WS20/21: Recent Advances in Multimedia Compression - From 3D Point Clouds to Deep Neural Networks
- Compression Schemes for 360-degree Video Streaming
- Compression Artifacts Reduction for Compressed Image/Videos
- End-to-End Image/Video Compression With Neural Networks
- Semantic Image/Video Compression Through Deep Learning
- Video Compression for Low Delay Video Streaming
- Point Cloud Compression for Autonomous Driving
- Map Compression for Visual SLAM Systems
- Deep Autoencoder Model for Dynamically Acquired Point Cloud Data Compression Enhancement Using IMU Sensors
- Compression of Pose Graphs for SLAM systems
- Vibrotactile Perception and Compression
- Neural Network Model Compression
- Knowledge Distillation for Enhanced Neural Networks
SS20: Recent Advances in Multimedia Compression - From 3D Point Clouds to Deep Neural Networks
- Compression Schemes for 360-degree Video Streaming
- Compression Artifacts Reduction for Compressed Image/Videos
- End-to-End Image/Video Compression With Neural Networks
- Semantic Image/Video Compression Through Deep Learning
- Video Compression for Low Delay Video Streaming
- Point Cloud Compression for Autonomous Driving
- Map Compression for Visual SLAM Systems
- Deep Autoencoder Model for Dynamically Acquired Point Cloud Data Compression Enhancement Using IMU Sensors
- Log Compression for Robotics
- Vibrotactile Perception and Compression
- Neural Network Model Compression
- Knowledge Distillation for Enhanced Neural Networks
WS19/20: Autonomous Driving Methods
- Teleoperation for Autonomous Driving Failures
- Safety Concepts for Teleoperated Driving
- Early Failure Prediction in Autonomous Driving
- Out-Of-Distribution Detection for Autonomous Driving
- Visual SLAM Methods
- Path Planning
- Driver intention/motion prediction
- Personalized Autonomous Driving: Learning from Driver Demonstrations
- Multi-modal Object Detection
- Predictive Methods for Network Delay Compensation by Teledriving
- Vision Enhancement for Autonomous Driving under Adverse Weather Conditions
- Self-supervised Learning of Depth Estimation and Ego-Motion from Monocular Videos using Convolutional Neural Networks
SS19: Machine Learning
- Human Visual Perception as a Model for Neural Networks
- Dimension Reduction - Extracting Information from High-Dimensional Data
- Embedded Deep Learning for Sensor Fusion Applications
- Throughput Prediction in Cellular Networks
- Region of Interest Prediction for Teleoperated Driving Applications
- Quality of Experience Prediction in Mobile Video
- Image Quality Assessment
- Image Restoration - from Conventional Methods to Neural Networks Approaches
- Content-Based Image Retrieval
- Machine Learning for Path Planning
- Neural SLAM
- Tactile Object Description and Exploration