Julius Ott

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Depth Estimation

Reinforcement Learning

Top Venues

Publications

Huawei Sun, Hao Feng, Gianfranco Mauro, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille
Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications. CoRR (2024)
Huawei Sun, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille
CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation. CoRR (2024)
Huawei Sun, Hao Feng, Gianfranco Mauro, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille
Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications. IV (2024)
Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing. CoRR (2023)
Gianfranco Mauro, Maria De Carlos Diez, Julius Ott, Lorenzo Servadei, Manuel P. Cuéllar, Diego P. Morales-Santos
Few-Shot User-Adaptable Radar-Based Breath Signal Sensing. Sensors 23 (2) (2023)
Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling. ICASSP (2023)
Gianfranco Mauro, Ignacio Martinez-Rodriguez, Julius Ott, Lorenzo Servadei, Robert Wille, Manuel P. Cuéllar, Diego P. Morales-Santos
Context-adaptable radar-based people counting via few-shot learning. Appl. Intell. 53 (21) (2023)
Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling. CoRR (2022)
Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. ICMLA (2022)
Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. CoRR (2022)
Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra
Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar. ICASSP (2022)
Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar. CoRR (2021)