Hierarchy of Localized Random Forests for Video Annotation. - Naveen Shankar Nagaraja; Peter Ochs; Kun Liu 003; Thomas Brox (DAGM/OAGM Symposium, 2012)

A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis. - Fabio Galasso; Naveen Shankar Nagaraja; Tatiana Jimenez Cardenas; Thomas Brox; Bernt Schiele (ICCV, 2013)

Video Segmentation with Just a Few Strokes. - Naveen Shankar Nagaraja; Frank R. Schmidt; Thomas Brox (ICCV, 2015)

Attention-based Lane Change Prediction. - Oliver Scheel; Naveen Shankar Nagaraja; Loren Arthur Schwarz; Nassir Navab; Federico Tombari (ICRA, 2019)

SafeCritic: Collision-Aware Trajectory Prediction. - Tessa van der Heiden; Naveen Shankar Nagaraja; Christian Weiss; Efstratios Gavves (CoRR, 2019)

L2PF - Learning to Prune Faster. - Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Mhd Ali Moraly; Aquib Jamal; Lukas Frickenstein; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele (CVIP (3), 2020)

ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. - Alexander Frickenstein; Manoj Rohit Vemparala; Nael Fasfous; Laura Hauenschild; Naveen Shankar Nagaraja; Christian Unger; Walter Stechele (DAC, 2020)

Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. - Alexander Frickenstein; Manoj Rohit Vemparala; Jakob Mayr; Naveen Shankar Nagaraja; Christian Unger; Federico Tombari; Walter Stechele (ICRA, 2020)

Social navigation with human empowerment driven reinforcement learning. - Tessa van der Heiden; Christian Weiss; Naveen Shankar Nagaraja; Herke van Hoof (CoRR, 2020)

Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. - Manoj Rohit Vemparala; Nael Fasfous; Lukas Frickenstein; Alexander Frickenstein; Anmol Singh; Driton Salihu; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele (BMVC, 2021)

Adversarial Robust Model Compression Using In-Train Pruning. - 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 (CVPR Workshops, 2021)

Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands. - Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Mohamed Badawy; Felix Hundhausen; Julian Höfer; Naveen Shankar Nagaraja; Christian Unger; Hans-Jörg Vögel; Jürgen Becker 001; Tamim Asfour; Walter Stechele (ICRA, 2021)

BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. - Manoj Rohit Vemparala; Alexander Frickenstein; Nael Fasfous; Lukas Frickenstein; Qi Zhao; Sabine Kuhn; Daniel Ehrhardt; Yuankai Wu; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele (IntelliSys (1), 2021)

Investigating Binary Neural Networks for Traffic Sign Detection and Recognition. - Ee Heng Chen; Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Ahmed Mzid; Naveen Shankar Nagaraja; Jöran Zeisler; Walter Stechele (IV, 2021)

Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments. - Manoj Rohit Vemparala; Anmol Singh; Ahmed Mzid; Nael Fasfous; Alexander Frickenstein; Florian Mirus; Hans-Jörg Vögel; Naveen Shankar Nagaraja; Walter Stechele (IV Workshops, 2021)

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. - Miltiadis Kofinas; Naveen Shankar Nagaraja; Efstratios Gavves (NeurIPS, 2021)

HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. - Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Emanuele Valpreda; Driton Salihu; Nguyen Anh Vu Doan; Christian Unger; Naveen Shankar Nagaraja; Maurizio Martina; Walter Stechele (ACM Trans. Embed. Comput. Syst., 2021)

3D Charged Particles Dataset - Roto-translated Local Coordinate Frames for Interacting Dynamical Systems. - Miltiadis Kofinas; Naveen Shankar Nagaraja; Efstratios Gavves (Zenodo, 2021)

Accelerating and pruning CNNs for semantic segmentation on FPGA. - Pierpaolo Morì; Manoj Rohit Vemparala; Nael Fasfous; Saptarshi Mitra; Sreetama Sarkar; Alexander Frickenstein; Lukas Frickenstein; Domenik Helms; Naveen Shankar Nagaraja; Walter Stechele; Claudio Passerone (DAC, 2022)

AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms. - 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 001; et al. (DATE, 2022)

HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology. - Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Emanuele Valpreda; Manfredi Camalleri; Qi Zhao; Christian Unger; Naveen Shankar Nagaraja; Maurizio Martina; Walter Stechele (Leibniz Trans. Embed. Syst., 2022)

Recurrent Models for Lane Change Prediction and Situation Assessment. - Oliver Scheel; Naveen Shankar Nagaraja; Loren Arthur Schwarz; Nassir Navab; Federico Tombari (IEEE Trans. Intell. Transp. Syst., 2022)

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. - Miltiadis Kofinas; Erik J. Bekkers; Naveen Shankar Nagaraja; Efstratios Gavves (NeurIPS, 2023)

Electrostatic field dataset - Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. - Miltiadis Kofinas; Erik Johannes Bekkers; Naveen Shankar Nagaraja; Efstratios Gavves (Zenodo, 2023)

Dynamic gravitational field dataset - Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. - Miltiadis Kofinas; Erik Johannes Bekkers; Naveen Shankar Nagaraja; Efstratios Gavves (Zenodo, 2023)