Naveen Shankar Nagaraja

29 papers A* 9A 2C 1Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Latent Field Discovery In Interacting Dynamical Systems With Neural Fields. CoRR Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves
2023	A*	`conf`	Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. NeurIPS Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves
2022	A*	`conf`	Accelerating and pruning CNNs for semantic segmentation on FPGA. DAC Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone
2022	A	`conf`	AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms. DATE 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
2022	J	`jnl`	HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology. Leibniz Trans. Embed. Syst. Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
2022	J	`jnl`	Recurrent Models for Lane Change Prediction and Situation Assessment. IEEE Trans. Intell. Transp. Syst. Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari
2021	—	`conf`	Adversarial Robust Model Compression Using In-Train Pruning. CVPR Workshops 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
2021	A*	`conf`	Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands. ICRA 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
2021	J	`jnl`	BreakingBED - Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. CoRR Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	—	`conf`	BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. IntelliSys (1) Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	J	`jnl`	HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. ACM Trans. Embed. Comput. Syst. Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
2021	A	`conf`	Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. BMVC Manoj Rohit Vemparala, Nael Fasfous, Lukas Frickenstein, Alexander Frickenstein, Anmol Singh, Driton Salihu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	C	`conf`	Investigating Binary Neural Networks for Traffic Sign Detection and Recognition. IV Ee Heng Chen, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Ahmed Mzid, Naveen Shankar Nagaraja, Jöran Zeisler, Walter Stechele
2021	J	`jnl`	L2PF - Learning to Prune Faster. CoRR Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	—	`conf`	Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments. IV Workshops Manoj Rohit Vemparala, Anmol Singh, Ahmed Mzid, Nael Fasfous, Alexander Frickenstein, Florian Mirus, Hans-Jörg Vögel, Naveen Shankar Nagaraja, Walter Stechele
2021	A*	`conf`	Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. NeurIPS Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves
2021	J	`jnl`	Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. CoRR Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves
2020	A*	`conf`	ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. DAC Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
2020	J	`jnl`	ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. CoRR Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
2020	A*	`conf`	Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. ICRA Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele
2020	J	`jnl`	Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. CoRR Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele
2020	—	`conf`	L2PF - Learning to Prune Faster. CVIP (3) Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2020	J	`jnl`	Social navigation with human empowerment driven reinforcement learning. CoRR Tessa van der Heiden, Christian Weiss, Naveen Shankar Nagaraja, Herke van Hoof
2019	A*	`conf`	Attention-based Lane Change Prediction. ICRA Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari
2019	J	`jnl`	Attention-based Lane Change Prediction. CoRR Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari
2019	J	`jnl`	SafeCritic: Collision-Aware Trajectory Prediction. CoRR Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss, Efstratios Gavves
2015	A*	`conf`	Video Segmentation with Just a Few Strokes. ICCV Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox
2013	A*	`conf`	A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis. ICCV Fabio Galasso, Naveen Shankar Nagaraja, Tatiana Jimenez Cardenas, Thomas Brox, Bernt Schiele
2012	—	`conf`	Hierarchy of Localized Random Forests for Video Annotation. DAGM/OAGM Symposium Naveen Shankar Nagaraja, Peter Ochs, Kun Liu, Thomas Brox