Dennis Quandt | Projekt „KIGVI“
General:
Room:
B1 309
Email:
Dennis.Quandt(at)hs-rm.de
Postal Address:
Postfach 3251
65022 Wiesbaden
Address:
Unter den Eichen 5
65195 Wiesbaden
Dennis Quandt is currently employed as a research assistant in the BMBF-funded research project „KIGVI: Automated AI-based Composition of Video Reports“. The goal of the project is an innovative solution for the AI-based creation of video reports that extracts suitable segments from video sequences and composes them into a broadcast-ready report.s
- Since 2021
Research Assistant at Research Project „KIGVI“, Hochschule RheinMain
- 2018 – 2021
Machine Vision Research Engineer, Vitronic GmbH
- 2017 – 2018
Master of Science Robotics and Computation, University College London (UCL)
- 2016 – 2017
Construction Supervisor Control and Signals, DB Netz AG
- 2012 – 2016
Cooperative Degree Program Electrical Engineering (KIS-E), Hochschule RheinMain & DB Netz AG
- Dennis Quandt, Philipp Altmeyer, Wolfgang Ruppel, and Matthias Narroschke. 2024. Automatic Text-based Clip Composition for Video News. In Proceedings of the 2024 9th International Conference on Multimedia and Image Processing (ICMIP '24). Association for Computing Machinery, New York, NY, USA, 106–112. https://doi.org/10.1145/3665026.3665042