| Binarycop: Binary neural network-based covid-19 face-mask wear and positioning predictor on edge devices N Fasfous, MR Vemparala, A Frickenstein, L Frickenstein, M Badawy, ... 2021 IEEE international parallel and distributed processing symposium …, 2021 | 44 | 2021 |
| Binary dad-net: Binarized driveable area detection network for autonomous driving A Frickenstein, MR Vemparala, J Mayr, NS Nagaraja, C Unger, F Tombari, ... 2020 IEEE international conference on robotics and automation (ICRA), 2295-2301, 2020 | 26 | 2020 |
| DSC: Dense-sparse convolution for vectorized inference of convolutional neural networks A Frickenstein, M Rohit Vemparala, C Unger, F Ayar, W Stechele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 23 | 2019 |
| Adversarial robust model compression using in-train pruning MR Vemparala, N Fasfous, A Frickenstein, S Sarkar, Q Zhao, S Kuhn, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 16 | 2021 |
| Orthruspe: Runtime reconfigurable processing elements for binary neural networks N Fasfous, MR Vemparala, A Frickenstein, W Stechele 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 15 | 2020 |
| Anaconga: Analytical hw-cnn co-design using nested genetic algorithms N Fasfous, MR Vemparala, A Frickenstein, E Valpreda, D Salihu, J Höfer, ... 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 238-243, 2022 | 14 | 2022 |
| An efficient fpga accelerator design for optimized cnns using opencl MR Vemparala, A Frickenstein, W Stechele International conference on architecture of computing systems, 236-249, 2019 | 14 | 2019 |
| Hw-flowq: A multi-abstraction level hw-cnn co-design quantization methodology N Fasfous, MR Vemparala, A Frickenstein, E Valpreda, D Salihu, ... ACM Transactions on Embedded Computing Systems (TECS) 20 (5s), 1-25, 2021 | 12 | 2021 |
| ALF: Autoencoder-based low-rank filter-sharing for efficient convolutional neural networks A Frickenstein, MR Vemparala, N Fasfous, L Hauenschild, NS Nagaraja, ... 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 11 | 2020 |
| Breakingbed: Breaking binary and efficient deep neural networks by adversarial attacks MR Vemparala, A Frickenstein, N Fasfous, L Frickenstein, Q Zhao, S Kuhn, ... Intelligent Systems and Applications: Proceedings of the 2021 Intelligent …, 2022 | 10 | 2022 |
| Binary-lorax: Low-latency runtime adaptable xnor classifier for semi-autonomous grasping with prosthetic hands N Fasfous, MR Vemparala, A Frickenstein, M Badawy, F Hundhausen, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 13430 …, 2021 | 10 | 2021 |
| Resource-aware optimization of dnns for embedded applications A Frickenstein, C Unger, W Stechele 2019 16th Conference on Computer and Robot Vision (CRV), 17-24, 2019 | 10 | 2019 |
| Investigating binary neural networks for traffic sign detection and recognition EH Chen, MR Vemparala, N Fasfous, A Frickenstein, A Mzid, ... 2021 IEEE Intelligent Vehicles Symposium (IV), 1400-1405, 2021 | 9 | 2021 |
| Hardware-aware mixed-precision neural networks using in-train quantization MR Vemparala, N Fasfous, L Frickenstein, A Frickenstein, A Singh, ... British machine vision conference (BMVC), 2021 | 9 | 2021 |
| Pruning cnns for lidar-based perception in resource constrained environments MR Vemparala, A Singh, A Mzid, N Fasfous, A Frickenstein, F Mirus, ... 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 228-235, 2021 | 8 | 2021 |
| Accelerating and pruning cnns for semantic segmentation on fpga P Morì, MR Vemparala, N Fasfous, S Mitra, S Sarkar, A Frickenstein, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 145-150, 2022 | 7 | 2022 |
| Mind the scaling factors: Resilience analysis of quantized adversarially robust cnns N Fasfous, L Frickenstein, M Neumeier, MR Vemparala, A Frickenstein, ... 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 706-711, 2022 | 6 | 2022 |
| L2pf-learning to prune faster MR Vemparala, N Fasfous, A Frickenstein, MA Moraly, A Jamal, ... International Conference on Computer Vision and Image Processing, 249-261, 2020 | 6 | 2020 |
| The ZuSE-KI-mobil AI accelerator SOC: overview and a functional safety perspective F Kempf, J Hoefer, T Harbaum, J Becker, N Fasfous, A Frickenstein, ... 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 4 | 2023 |
| HW-flow-fusion: Inter-layer scheduling for convolutional neural network accelerators with dataflow architectures E Valpreda, P Morì, N Fasfous, MR Vemparala, A Frickenstein, ... Electronics 11 (18), 2933, 2022 | 3 | 2022 |
Manoj Rohit VemparalaBMW groupПотвърден имейл адрес: bmw.de
