Stechele, Walter

5 publications

CVPRW 2025 RepFC: Universal Structural Reparametrization Block for High Performance, Lightweight Deep Neural Networks Shambhavi Balamuthu Sampath, Judeson Anthony Fernando, Moritz Thoma, Nael Fasfous, Lukas Frickenstein, Pierpaolo Morì, Manoj Rohit Vemparala, Alexander Frickenstein, Ulf Schlichtmann, Walter Stechele

CVPRW 2024 Pruning as a Binarization Technique Lukas Frickenstein, Pierpaolo Morì, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele

WACV 2024 Wino Vidi Vici: Conquering Numerical Instability of 8-Bit Winograd Convolution for Accurate Inference Acceleration on Edge Pierpaolo Mori, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone

CVPRW 2021 Adversarial Robust Model Compression Using In-Train Pruning Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Sreetama Sarkar, Qi Zhao, Sabine Kuhn, Lukas Frickenstein, Anmol Singh, Christian Unger, Naveen Shankar Nagaraja, Christian Wressnegger, Walter Stechele

CVPRW 2019 DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks Alexander Frickenstein, Manoj Rohit Vemparala, Christian Unger, Fatih Ayar, Walter Stechele