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Naveen Shankar Nagaraja
Naveen Shankar Nagaraja
Senior Machine Learning Engineer, BMW Group
Verified email at informatik.uni-freiburg.de - Homepage
Title
Cited by
Cited by
Year
A unified video segmentation benchmark: Annotation, metrics and analysis
F Galasso, NS Nagaraja, TJ Cardenas, T Brox, B Schiele
Proceedings of the IEEE International Conference on Computer Vision, 3527-3534, 2013
2052013
Video segmentation with just a few strokes
NS Nagaraja, FR Schmidt, T Brox
Proceedings of the IEEE International Conference on Computer Vision, 3235-3243, 2015
1372015
Attention-based Lane Change Prediction
O Scheel, NS Nagaraja, L Schwarz, N Navab, F Tombari
https://arxiv.org/abs/1903.01246, 2019
512019
Roto-translated local coordinate frames for interacting dynamical systems
M Kofinas, N Nagaraja, E Gavves
Advances in Neural Information Processing Systems 34, 6417-6429, 2021
282021
SafeCritic: Collision-Aware Trajectory Prediction
T van der Heiden, NS Nagaraja, C Weiss, E Gavves
British Machine Vision Conference Workshop - Embedded AI for Real-Time …, 2019
252019
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
222020
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
112021
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
112021
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
112020
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
102022
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
102022
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
Hierarchy of localized random forests for video annotation
NS Nagaraja, P Ochs, K Liu, T Brox
Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium …, 2012
102012
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
82021
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
62022
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
62021
Social navigation with human empowerment driven reinforcement learning
TVD Heiden, C Weiss, NS Nagaraja, HV Hoof
ICANN, vol. abs/2003.08158, 2020
62020
Social navigation with human empowerment driven reinforcement learning
T van der Heiden, C Weiss, NN Shankar, H van Hoof
arXiv preprint arXiv:2003.08158, 2020
62020
Method and Apparatus for Determining Information Related to a Lane Change of Target Vehicle, Method and Apparatus for Determining a Vehicle Comfort Metric for a Prediction of a …
NS Nagaraja, O Scheel, L Schwarz
US Patent App. 17/054,650, 2021
52021
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