Julius Ott

According to our database, Julius Ott authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Exploiting Benford's Law for Weight Regularization of Deep Neural Networks.

Julius Ott, Huawei Sun, Enrico Rinaldi, Gianfranco Mauro, Lorenzo Servadei, Robert Wille

Trans. Mach. Learn. Res., 2025

GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling.

Huawei Sun, Zixu Wang, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance.

Huawei Sun, Nastassia Vysotskaya, Tobias Sukianto, Hao Feng, Julius Ott, Xiangyuan Peng, Lorenzo Servadei, Robert Wille

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications.

Huawei Sun, Hao Feng, Gianfranco Mauro, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation.

Huawei Sun, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

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