Manoj Rohit Vemparala

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Sign Detection And Recognition

Motion Field Estimation

Top Venues

Publications

Pierpaolo Morì, Moritz Thoma, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone
MATAR: Multi-Quantization-Aware Training for Accurate and Fast Hardware Retargeting. DATE (2024)
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
Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge. WACV (2024)
Pierpaolo Morì, Shambhavi Balamuthu Sampath, Lukas Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Walter Stechele, Claudio Passerone
WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration. DAC (2023)
Simon Friedrich, Shambhavi Balamuthu Sampath, Robert Wittig, Manoj Rohit Vemparala, Nael Fasfous, Emil Matús, Walter Stechele, Gerhard P. Fettweis
Lightweight Instruction Set for Flexible Dilated Convolutions and Mixed-Precision Operands. ISQED (2023)
Nael Fasfous, Lukas Frickenstein, Michael Neumeier, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Maurizio Martina, Walter Stechele
Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs. DATE (2022)
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
AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms. DATE (2022)
Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone
Accelerating and pruning CNNs for semantic segmentation on FPGA. DAC (2022)
Adrian Osterwind, Julian Droste-Rehling, Manoj Rohit Vemparala, Domenik Helms
Hardware Execution Time Prediction for Neural Network Layers. PKDD/ECML Workshops (1) (2022)
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology. Leibniz Trans. Embed. Syst. 8 (1) (2022)
Manoj Rohit Vemparala, Nael Fasfous, Lukas Frickenstein, Alexander Frickenstein, Anmol Singh, Driton Salihu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. BMVC (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
BreakingBED - Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. CoRR (2021)
Ee Heng Chen, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Ahmed Mzid, Naveen Shankar Nagaraja, Jöran Zeisler, Walter Stechele
Investigating Binary Neural Networks for Traffic Sign Detection and Recognition. IV (2021)
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
L2PF - Learning to Prune Faster. CoRR (2021)
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
Adversarial Robust Model Compression Using In-Train Pruning. CVPR Workshops (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
BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. IntelliSys (1) (2021)
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Walter Stechele
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices. CoRR (2021)
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Mohamed Badawy, Walter Stechele
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices. IPDPS Workshops (2021)
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
Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands. ICRA (2021)
Manoj Rohit Vemparala, Anmol Singh, Ahmed Mzid, Nael Fasfous, Alexander Frickenstein, Florain Mirus, Hans-Jörg Vögel, Naveen Shankar Nagaraja, Walter Stechele
Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments. IV Workshops (2021)
Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. CoRR (2020)
Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. DAC (2020)
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele
OrthrusPE: Runtime Reconfigurable Processing Elements for Binary Neural Networks. DATE (2020)
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
L2PF - Learning to Prune Faster. CVIP (3) (2020)
Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. CoRR (2020)
Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. ICRA (2020)
Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele
An Efficient FPGA Accelerator Design for Optimized CNNs Using OpenCL. ARCS (2019)
Alexander Frickenstein, Manoj Rohit Vemparala, Christian Unger, Fatih Ayar, Walter Stechele
DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks. CVPR Workshops (2019)