Julian Tatsch holds two masters degrees with distinction in computer science (2015) and business (2011) from Technische Universität München. From 12/2015 until 05/2019 he was a research assistant in the computer vision group at the BMW Group Autonomous Driving Department.

Scene Understanding with Computer Vision:

• Improving Semantic Segmentation with Depth/Temporal Cues
• Semantic Segmentation of Point Clouds
• Entity Relationship Detection
• Learning from Artificial Data and Transferring to the Real World
• Active Learning

Organizer of 1st International Workshop on "Data Driven Intelligent Vehicle Applications" (DDIVA 2019) @ 30th IEEE Intelligent Vehicles Symposium (IV 2019)

Organizer of 2st International Workshop on "Data Driven Intelligent Vehicle Applications" (DDIVA 2020) @ 31th IEEE Intelligent Vehicles Symposium (IV 2020)

• The Value of Depth for Semantic Segmentation Neural Networks
• Temporal Modeling for Semantic Video Segmentation
• Point Cloud Segmentation for Automotive Applications
• Fusing Visual Features and Semantic Knowledge for Visual Relationship Understanding in Autonomous Driving
• Deep Learning of Knowledge Embeddings for Visual Scene Understanding in Autonomous Driving
• Active Learning - Intelligent Training Strategies for Data-Efficient Object Detectors in Autonomous Driving
• Learning from Synthetic Data: Domain Transfer for Detection- and Segmentationmodels