Alexander Frickenstein

38 papers A* 7A 8C 1Journal 7Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	FLAR-SVD: Fast and Latency-Aware Singular Value Decomposition for Model Compression. CVPR Workshops Moritz Thoma, Jorge Villasante, Emad Aghajanzadeh, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Maximilian Groetzinger, Daniil Dylkin, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Daniel Mueller-Gritschneder, Ulf Schlichtmann
2025	—	`conf`	HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS. SOCC Shambhavi Balamuthu Sampath, Behzad Shomali, Nael Fasfous, Moritz Thoma, Judeson Anthony Fernando, Lukas Frickenstein, Pierpaolo Morì, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele
2025	A	`conf`	HiFi-SAGE: High Fidelity GraphSAGE-Based Latency Estimators for DNN Optimization. DATE Shambhavi Balamuthu Sampath, Leon Hecht, Moritz Thoma, Lukas Frickenstein, Pierpaolo Morì, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone
2025	A*	`conf`	LA-MTL: Latency-Aware Automated Multi-Task Learning. DAC Shambhavi Balamuthu Sampath, Sami Sawani, Moritz Thoma, Lukas Frickenstein, Pierpaolo Morì, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Ulf Schlichtmann, Claudio Passerone, Walter Stechele
2025	—	`conf`	RepFC: Universal Structural Reparametrization Block for High Performance, Lightweight Deep Neural Networks. CVPR Workshops Shambhavi Balamuthu Sampath, Judeson Anthony Fernando, Moritz Thoma, Nael Fasfous, Lukas Frickenstein, Pierpaolo Morì, Manoj Rohit Vemparala, Alexander Frickenstein, Ulf Schlichtmann, Walter Stechele
2025	A*	`conf`	SuperFast: Fast Supernet Training Using Initial Knowledge. DAC Moritz Thoma, Emad Aghajanzadeh, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Nael Fasfous, Alexander Frickenstein, Manoj Rohit Vemparala, Daniel Mueller-Gritschneder, Ulf Schlichtmann
2025	—	`conf`	Uncertainty Aware Training to Improve Uncertainty Active Learning for Semantic Segmentation. CVPR Workshops Moritz Thoma, Tobias Preintner, Emad Aghajanzadeh, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Daniel Mueller-Gritschneder, Ulf Schlichtmann
2024	A	`conf`	MATAR: Multi-Quantization-Aware Training for Accurate and Fast Hardware Retargeting. DATE Pierpaolo Morì, Moritz Thoma, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone
2024	—	`conf`	Pruning as a Binarization Technique. CVPR Workshops Lukas Frickenstein, Pierpaolo Morì, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele
2024	A	`conf`	Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge. WACV Pierpaolo Morì, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone
2023	—	`conf`	Adversarial Robustness of Multi-bit Convolutional Neural Networks. IntelliSys (3) Lukas Frickenstein, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele
2023	A	`conf`	The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective. DATE Fabian Kempf, Julian Höfer, Tanja Harbaum, Jürgen Becker, Nael Fasfous, Alexander Frickenstein, Hans-Jörg Vögel, Simon Friedrich, Robert Wittig, Emil Matús, Gerhard P. Fettweis, Matthias Lüders, Holger Blume, Jens Benndorf, Darius Grantz, Martin Zeller, Dietmar Engelke, Karl-Heinz Eickel
2023	A*	`conf`	WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration. DAC Pierpaolo Morì, Shambhavi Balamuthu Sampath, Lukas Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Walter Stechele, Claudio Passerone
2022	A*	`conf`	Accelerating and pruning CNNs for semantic segmentation on FPGA. DAC Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone
2022	A	`conf`	AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms. DATE Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Julian Höfer, Anmol Singh, Naveen Shankar Nagaraja, Hans-Jörg Vögel, Nguyen Anh Vu Doan, Maurizio Martina, Jürgen Becker, Walter Stechele
2022	J	`jnl`	HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology. Leibniz Trans. Embed. Syst. Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
2022	A	`conf`	Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs. DATE Nael Fasfous, Lukas Frickenstein, Michael Neumeier, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Maurizio Martina, Walter Stechele
2021	—	`conf`	Adversarial Robust Model Compression Using In-Train Pruning. CVPR Workshops 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
2021	A*	`conf`	Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands. ICRA Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Mohamed Badawy, Felix Hundhausen, Julian Höfer, Naveen Shankar Nagaraja, Christian Unger, Hans-Jörg Vögel, Jürgen Becker, Tamim Asfour, Walter Stechele
2021	—	`conf`	BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices. IPDPS Workshops Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Mohamed Badawy, Walter Stechele
2021	J	`jnl`	BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices. CoRR Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Walter Stechele
2021	J	`jnl`	BreakingBED - Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. CoRR Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	—	`conf`	BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. IntelliSys (1) Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	—	`—`	HAPPi-Net: Hardware-Aware Performant Perception of Neural Networks. Alexander Frickenstein
2021	J	`jnl`	HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. ACM Trans. Embed. Comput. Syst. Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
2021	A	`conf`	Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. BMVC Manoj Rohit Vemparala, Nael Fasfous, Lukas Frickenstein, Alexander Frickenstein, Anmol Singh, Driton Salihu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	C	`conf`	Investigating Binary Neural Networks for Traffic Sign Detection and Recognition. IV Ee Heng Chen, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Ahmed Mzid, Naveen Shankar Nagaraja, Jöran Zeisler, Walter Stechele
2021	J	`jnl`	L2PF - Learning to Prune Faster. CoRR Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	—	`conf`	Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments. IV Workshops Manoj Rohit Vemparala, Anmol Singh, Ahmed Mzid, Nael Fasfous, Alexander Frickenstein, Florian Mirus, Hans-Jörg Vögel, Naveen Shankar Nagaraja, Walter Stechele
2020	A*	`conf`	ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. DAC Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
2020	J	`jnl`	ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. CoRR Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
2020	A*	`conf`	Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. ICRA Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele
2020	J	`jnl`	Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. CoRR Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele
2020	—	`conf`	L2PF - Learning to Prune Faster. CVIP (3) Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2020	A	`conf`	OrthrusPE: Runtime Reconfigurable Processing Elements for Binary Neural Networks. DATE Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele
2019	—	`conf`	An Efficient FPGA Accelerator Design for Optimized CNNs Using OpenCL. ARCS Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele
2019	—	`conf`	DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks. CVPR Workshops Alexander Frickenstein, Manoj Rohit Vemparala, Christian Unger, Fatih Ayar, Walter Stechele
2019	—	`conf`	Resource-Aware Optimization of DNNs for Embedded Applications. CRV Alexander Frickenstein, Christian Unger, Walter Stechele