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 Cárdenas, T Brox, B Schiele
Proceedings of the IEEE International Conference on Computer Vision, 3527-3534, 2013
1882013
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
1252015
Attention-based Lane Change Prediction
O Scheel, NS Nagaraja, L Schwarz, N Navab, F Tombari
https://arxiv.org/abs/1903.01246, 2019
142019
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
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
92019
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
52020
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
32020
Social navigation with human empowerment driven reinforcement learning
T van der Heiden, C Weiss, NS Nagaraja, H van Hoof
22020
Parts based representation for pedestrian using NMF with robustness to partial occlusion
NN Shankar, KR Ramakrishnan
2010 International Conference on Signal Processing and Communications (SPCOM …, 2010
22010
BreakingBED--Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks
MR Vemparala, A Frickenstein, N Fasfous, L Frickenstein, Q Zhao, S Kuhn, ...
arXiv preprint arXiv:2103.08031, 2021
12021
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
2021
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. 16/951,195, 2021
2021
L2PF--Learning to Prune Faster
MR Vemparala, N Fasfous, A Frickenstein, MA Moraly, A Jamal, ...
arXiv preprint arXiv:2101.02663, 2021
2021
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
2021
Binary-LoRAX: Low-power and Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands
N Fasfous, MR Vemparala, A Frickenstein, M Badawy, F Hundhausen, ...
International Conference on Robotics and Automation (ICRA), 2021
2021
L2PF-Learning to Prune Faster
NS Nagaraja, W Stechele
Computer Vision and Image Processing: 5th International Conference, CVIP …, 2021
2021
Supplementary Material Adversarial Robust Model Compression using In-Train Pruning
MR Vemparala, N Fasfous, A Frickenstein, S Sarkar, Q Zhao, S Kuhn, ...
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, ...
complexity 4 (5), 6, 0
A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis Supplementary Material
F Galasso, NS Nagaraja, TJ Cárdenas, T Brox, B Schiele
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Articles 1–19