Следене
Manoj Rohit Vemparala
Manoj Rohit Vemparala
BMW group
Потвърден имейл адрес: bmw.de
Заглавие
Позовавания
Позовавания
Година
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
442021
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
282020
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
232019
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
172022
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
162021
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
152020
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
142021
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
142019
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
122020
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
112022
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
102021
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
92021
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
92021
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
92021
Performance analysis of controller area network based safety system in an electric vehicle
MR Vemparala, S Yerabati, GI Mary
2016 IEEE International Conference on Recent Trends in Electronics …, 2016
92016
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
82022
Lightweight instruction set for flexible dilated convolutions and mixed-precision operands
S Friedrich, SB Sampath, R Wittig, MR Vemparala, N Fasfous, E Matúš, ...
2023 24th International Symposium on Quality Electronic Design (ISQED), 1-8, 2023
72023
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
72022
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
72020
Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge
P Mori, L Frickenstein, SB Sampath, M Thoma, N Fasfous, MR Vemparala, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
52024
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