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Technical University of Munich
Technical University of Munich

Curriculum Vitae

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.

 

Research Interests

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

 

Activities

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)

Supervised Theses

  • 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

Publications

2020

  • Julian Thomas, Julian Tatsch, Alois Knoll and Raúl Rojas: Online Road Model Generation From Evidential Semantic Grids. 2020 IEEE Intelligent Transportation Systems Conference (ITSC), 2020Rhodes, Greece. September 20-23, 2020 (Virtual), 110-117 more… BibTeX Full text (mediaTUM)
  • Sebstian Schmidt, Julian Tatsch, Qing Rao, Alois Knoll: Advanced Active Learning Strategies for Object Detection. 2020 IEEE Intelligent Vehicles Symposium (IV), 2020June 23-26, 2020, Las Vegas, NV, USA more… BibTeX Full text (mediaTUM)

2019

  • Julian Thomas, Julian Tatsch, Wim van Ekeren, Raúl Rojas, Alois Knoll: Semantic Grid-Based Road Model Estimation for Autonomous Driving. IEEE Intelligent Vehicles Symposium 2019, 2019 more… BibTeX Full text (mediaTUM)
  • Oliver Wasenmüller, René Schuster, Didier Stricker, Karl Leiss, Jürger Pfister, Oleksandra Ganus, Julian Tatsch, Artem Savkin, Nikolas Brasch: Automated Scene Flow Data Generation for Training and Verification. ACM Computer Science in Cars Symposium, 2018, Munich, Germany, 2019 more… BibTeX Full text (mediaTUM)
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