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Julian Moosmann
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2020 – today
- 2024
- [j2]Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno:
Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. IEEE Access 12: 75093-75107 (2024) - [c6]Tak Ming Wong, Julian Moosmann, Berit Zeller-Plumhoff:
VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces. CVPR Workshops 2024: 53-62 - [c5]Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno:
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. ISWC 2024: 9-16 - [i7]Pixi Kang, Julian Moosmann, Sizhen Bian, Michele Magno:
On-Device Training Empowered Transfer Learning For Human Activity Recognition. CoRR abs/2407.03644 (2024) - [i6]Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno:
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. CoRR abs/2409.00083 (2024) - [i5]Liam Boyle, Julian Moosmann, Nicolas Baumann, Seonyeong Heo, Michele Magno:
DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units. CoRR abs/2410.16769 (2024) - 2023
- [c4]Julian Moosmann, Marco Giordano, Christian Vogt, Michele Magno:
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers. AICAS 2023: 1-5 - [c3]Julian Moosmann, Jakub Mandula, Philipp Mayer, Luca Benini, Michele Magno:
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images. SENSORS 2023: 1-4 - [i4]Julian Moosmann, Marco Giordano, Christian Vogt, Michele Magno:
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers. CoRR abs/2306.00001 (2023) - [i3]Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno:
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. CoRR abs/2307.05999 (2023) - [i2]Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno:
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO. CoRR abs/2311.01057 (2023) - [i1]Pietro Bonazzi, Julian Moosmann, Yawei Li, Sizhen Bian, Michele Magno:
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. CoRR abs/2312.09854 (2023) - 2022
- [c2]Ivo M. Baltruschat, Hanna Cwieka, Diana Krüger, Berit Zeller-Plumhoff, Frank Schlünzen, Regine Willumeit-Römer, Julian Moosmann, Philipp Heuser:
Abstract: Verbesserung des 2D U-Nets für die 3D Mikrotomographie mit Synchrotronstrahlung mittels Multi-Axes Fusing. Bildverarbeitung für die Medizin 2022: 128 - 2020
- [c1]Inna Bukreeva, Anastasia Ingacheva, Michela Fratini, Alessia Cedola, E. Longo, Julian Moosmann, Alexey V. Buzmakov, Marina V. Chukalina:
Artifacts suppression in biomedical images using a guided filter. ICMV 2020: 116050S
2010 – 2019
- 2013
- [j1]Julian Moosmann, Alexey Ershov, Venera Altapova, Tilo Baumbach, Maneeshi S. Prasad, Carole LaBonne, Xianghui Xiao, Jubin Kashef, Ralf Hofmann:
X-ray phase-contrast in vivo microtomography probes new aspects of Xenopus gastrulation. Nat. 497(7449): 374-377 (2013)
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