Iris Fürst-Walter

According to our database, Iris Fürst-Walter authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

On Metric-Driven Development of Embedded Neuromorphic AI.

Jann Krausse, Moritz Neher, Iris Fürst-Walter, Carmen Weigelt, Tanja Harbaum, Klaus Knobloch, Jürgen Becker

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

Enhancing Force Sensing Capabilities in Exoskeleton Interfaces Using Compliant Actuator-Sensor Units - A User Study.

Hosam Alagi, Nikola Fischer, Kai Behrends, Iris Fürst-Walter, Jürgen Becker, Michael Beigl, Franziska Mathis-Ullrich, Björn Hein

Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

2023

CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems.

Fabian Kreß, Vladimir Sidorenko, Patrick Schmidt, Julian Höfer, Tim Hotfilter, Iris Walter, Tanja Harbaum, Jürgen Becker

Comput. Networks, June, 2023

Design Space Exploration on Efficient and Accurate Human Pose Estimation from Sparse IMU-Sensing.

Iris Fürst-Walter, Antonio Nappi, Tanja Harbaum, Jürgen Becker

IROS, 2023

2022

Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGA.

Fabian Kreß, Julian Höfer, Tim Hotfilter, Iris Walter, El Mahdi El Annabi, Tanja Harbaum, Jürgen Becker

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI Applications.

Fabian Kreß, Julian Höfer, Tim Hotfilter, Iris Walter, Vladimir Sidorenko, Tanja Harbaum, Jürgen Becker

Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

2021

Embedded Face Recognition for Personalized Services in the Assistive Robotics.

Iris Walter, Jonas Ney, Tim Hotfilter, Vladimir Rybalkin, Julian Höfer, Norbert Wehn, Jürgen Becker

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021