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Picture for Walter Stechele

BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks


Mar 14, 2021
Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele


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BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices


Feb 06, 2021
Nael Fasfous, Manoj-Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Walter Stechele


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L2PF -- Learning to Prune Faster


Jan 07, 2021
Manoj-Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen-Shankar Nagaraja, Walter Stechele


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Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback


Oct 30, 2020
Zhongliang Jiang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Marco Esposito, Wolfgang Wein, Walter Stechele, Thomas Wendler, Nassir Navab


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ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks


Jul 27, 2020
Alexander Frickenstein, Manoj-Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen-Shankar Nagaraja, Christian Unger, Walter Stechele

* Accepted by DAC'20 

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Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving


Jun 15, 2020
Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele

* IEEE International Conference on Robotics and Automation (ICRA) 2020 

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Resource Prediction for Humanoid Robots


May 12, 2014
Manfred Kröhnert, Nikolaus Vahrenkamp, Johny Paul, Walter Stechele, Tamim Asfour

* Presented at 1st Workshop on Resource Awareness and Adaptivity in Multi-Core Computing (Racing 2014) (arXiv:1405.2281) 

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Resource-Aware Programming for Robotic Vision


May 12, 2014
Johny Paul, Walter Stechele, Manfred Kröhnert, Tamim Asfour

* Presented at 1st Workshop on Resource Awareness and Adaptivity in Multi-Core Computing (Racing 2014) (arXiv:1405.2281) 

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