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Home/Authors/Christian Holz

Christian Holz

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
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Publications per year

2
26

Top categories

Vision×1Graphics×1Robotics×1AI×1Signal Processing×1

Frequent co-authors

Dominik Hollidt1×
Tommaso Bendinelli1×
Adnan Harun Dogan1×
Berken Utku Demirel1×

Research Timeline

2026
Ultra Diffusion Poser: Diffusion-Based Human Motion Tracking From Sparse Inertial Sensors and Ranging-Based Between-Sensor Distances

Ultra Diffusion Poser is a novel diffusion model that improves human motion tracking from sparse IMUs and UWB ranging by explicitly modeling the geometric constraints imposed by inter-sensor distances.

FW-NKF: Frequency-Weighted Neural Kalman Filters

The paper proposes the Frequency-Weighted Neural Kalman Filter (FW-NKF), a hybrid approach that improves state estimation for robotics by explicitly suppressing frequency-dependent noise components in sensor measurements.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.GRRecentJun 1, 2026

Ultra Diffusion Poser: Diffusion-Based Human Motion Tracking From Sparse Inertial Sensors and Ranging-Based Between-Sensor Distances

Dominik Hollidt, Tommaso Bendinelli, Christian Holz

Ultra Diffusion Poser is a novel diffusion model that improves human motion tracking from sparse IMUs and UWB ranging by explicitly modeling the geometric constraints imposed by inter-sensor distances…

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cs.ROcs.AIeess.SPRecentJun 1, 2026

FW-NKF: Frequency-Weighted Neural Kalman Filters

Adnan Harun Dogan, Berken Utku Demirel, Christian Holz

The paper proposes the Frequency-Weighted Neural Kalman Filter (FW-NKF), a hybrid approach that improves state estimation for robotics by explicitly suppressing frequency-dependent noise components in…

View →