Julius Ott

According to our database, Julius Ott authored at least 6 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Context-adaptable radar-based people counting via few-shot learning.

Gianfranco Mauro, Ignacio Martinez-Rodriguez, Julius Ott, Lorenzo Servadei, Robert Wille, Manuel P. Cuéllar, Diego P. Morales-Santos

Appl. Intell., November, 2023

Few-Shot User-Adaptable Radar-Based Breath Signal Sensing.

Gianfranco Mauro, Maria De Carlos Diez, Julius Ott, Lorenzo Servadei, Manuel P. Cuéllar, Diego P. Morales-Santos

Sensors, January, 2023

Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing.

Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

CoRR, 2023

MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling.

Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking.

Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar.

Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra

Proceedings of the IEEE International Conference on Acoustics, 2022