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ORCIDNaveen Shankar Nagaraja
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2020 – today
- 2023
[c17]Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves:
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. NeurIPS 2023- [i9]Miltiadis Kofinas
, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves:
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields. CoRR abs/2310.20679 (2023) - 2022
- [j3]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): 03:1-03:30 (2022) - [j2]Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Recurrent Models for Lane Change Prediction and Situation Assessment. IEEE Trans. Intell. Transp. Syst. 23(10): 17284-17300 (2022) - [c16]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: 145-150 - [c15]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: 238-243 - 2021
- [j1]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): 66:1-66:25 (2021) - [c14]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: 60 - [c13]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: 66-75 - [c12]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: 13430-13437 - [c11]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: 148-167 - [c10]Manoj Rohit Vemparala, Anmol Singh, Ahmed Mzid, Nael Fasfous, Alexander Frickenstein, Florian Mirus, Hans-Jörg Vögel, Naveen Shankar Nagaraja, Walter Stechele:
Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments. IV Workshops 2021: 228-235 - [c9]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: 1400-1405 - [c8]Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves:
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. NeurIPS 2021: 6417-6429 - [d1]Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves:
3D Charged Particles Dataset - Roto-translated Local Coordinate Frames for Interacting Dynamical Systems. Zenodo, 2021
- [i8]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 abs/2101.02663 (2021) - [i7]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 abs/2103.08031 (2021) - [i6]Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves:
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. CoRR abs/2110.14961 (2021) - 2020
- [c7]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: 249-261 - [c6]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: 1-6 - [c5]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: 2295-2301 - [i5]Tessa van der Heiden, Christian Weiss, Naveen Shankar Nagaraja, Herke van Hoof:
Social navigation with human empowerment driven reinforcement learning. CoRR abs/2003.08158 (2020) - [i4]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 abs/2006.08178 (2020) - [i3]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 abs/2007.13384 (2020)
2010 – 2019
- 2019
- [c4]Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Attention-based Lane Change Prediction. ICRA 2019: 8655-8661 - [i2]Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Attention-based Lane Change Prediction. CoRR abs/1903.01246 (2019) - [i1]Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss, Efstratios Gavves:
SafeCritic: Collision-Aware Trajectory Prediction. CoRR abs/1910.06673 (2019) - 2015
- [c3]Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox:
Video Segmentation with Just a Few Strokes. ICCV 2015: 3235-3243 - 2013
- [c2]Fabio Galasso, Naveen Shankar Nagaraja, Tatiana Jimenez Cardenas, Thomas Brox, Bernt Schiele:
A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis. ICCV 2013: 3527-3534 - 2012
- [c1]Naveen Shankar Nagaraja, Peter Ochs, Kun Liu, Thomas Brox:
Hierarchy of Localized Random Forests for Video Annotation. DAGM/OAGM Symposium 2012: 21-30
Coauthor Index
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