Naveen Shankar Nagaraja

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 26

Top Topics

Dynamical Systems

Convolutional Neural Networks

Top Venues

Publications

Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. NeurIPS (2023)
Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields. CoRR (2023)
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)
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) (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)
Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. NeurIPS (2021)
Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. 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, 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)
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)
Tessa van der Heiden, Christian Weiss, Naveen Shankar Nagaraja, Herke van Hoof
Social navigation with human empowerment driven reinforcement learning. CoRR (2020)
Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss, Efstratios Gavves
SafeCritic: Collision-Aware Trajectory Prediction. CoRR (2019)
Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari
Attention-based Lane Change Prediction. CoRR (2019)
Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari
Attention-based Lane Change Prediction. ICRA (2019)
Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox
Video Segmentation with Just a Few Strokes. ICCV (2015)
Fabio Galasso, Naveen Shankar Nagaraja, Tatiana Jimenez Cardenas, Thomas Brox, Bernt Schiele
A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis. ICCV (2013)
Naveen Shankar Nagaraja, Peter Ochs, Kun Liu, Thomas Brox
Hierarchy of Localized Random Forests for Video Annotation. DAGM/OAGM Symposium (2012)