| 2026 | WACV | DenseBEV: Transforming BEV Grid Cells into 3D Objects. | Marius Dhling, Sebastian Krebs, J. Marius Zllner |
| 2025 | ESORICS | Short Paper: Towards a Systematic Risk Assessment of Deep Neural Network Limitations in Autonomous Driving Perception. | Svetlana Pavlitska, Christopher Gerking, J. Marius Zllner |
| 2025 | ICCV | Robust Experts: the Effect of Adversarial Training on CNNs with Sparse Mixture-of-Experts Layers. | Svetlana Pavlitska, Haixi Fan, Konstantin Ditschuneit, J. Marius Zllner |
| 2025 | ICCV | Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation. | Svetlana Pavlitska, Beyza Keskin, Alwin Fabender, Christian Hubschneider, J. Marius Zllner |
| 2025 | IROS | Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL. | Ahmed Abouelazm, Johannes Ratz, Philip Schrner, J. Marius Zllner |
| 2025 | IROS | CrowdQuery: Density-Guided Query Module for Enhanced 2D and 3D Detection in Crowded Scenes. | Marius Dhling, Sebastian Krebs, J. Marius Zllner |
| 2025 | SMC | Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey. | Albert Schotschneider, Svetlana Pavlitska, J. Marius Zllner |
| 2024 | BMVC | Hybrid Video Anomaly Detection for Autonomous Driving. | Daniel Bogdoll, Jan Imhof, Tim Joseph, Svetlana Pavlitska, J. Marius Zllner |
| 2024 | BMVC | UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving. | Daniel Bogdoll, Nol Ollick, Tim Joseph, Svetlana Pavlitska, J. Marius Zllner |
| 2024 | CVPR | CAGE: Circumplex Affect Guided Expression Inference. | Niklas Wagner, Felix Mtzler, Samed Rouven Vossberg, Helen Schneider, Svetlana Pavlitska, J. Marius Zllner |
| 2024 | ECCV | AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving. | Daniel Bogdoll, Iramm Hamdard, Lukas Namgyu Rler, Felix Geisler, Muhammed Bayram, Felix Wang, Jan Imhof, Miguel de Campos, Anushervon Tabarov, Yitian Yang, Martin Gontscharow, Hanno Gottschalk, J. Marius Zllner |
| 2024 | ECCV | Conditional Unscented Autoencoders for Trajectory Prediction. | Faris Janjos, Marcel Hallgarten, Anthony Knittel, Maxim Dolgov, Andreas Zell, J. Marius Zllner |
| 2024 | ECCV | Empowering Autonomous Shuttles with Next-Generation Infrastructure. | Sven Ochs, Melih Yazgan, Rupert Polley, Albert Schotschneider, Stefan Orf, Marc Uecker, Maximilian Zipfl, Julian Burger, Abhishek Vivekanandan, Jennifer Amritzer, Marc Ren Zofka, J. Marius Zllner |
| 2024 | ICMLA | Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation. | Svetlana Pavlitska, Enrico Eisen, J. Marius Zllner |
| 2024 | ICMLA | Evaluating Adversarial Attacks on Traffic Sign Classifiers Beyond Standard Baselines. | Svetlana Pavlitska, Leopold Mller, J. Marius Zllner |
| 2024 | ICRA | Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions. | Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zllner |
| 2024 | IJCNN | Iterative Filter Pruning for Concatenation-based CNN Architectures. | Svetlana Pavlitska, Oliver Bagge, Federico Nicols Peccia, Toghrul Mammadov, J. Marius Zllner |
| 2023 | ICRA | Robotic Control Using Model Based Meta Adaption. | Karam Daaboul, Joel Ikels, J. Marius Zllner |
| 2023 | IJCNN | Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability. | Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, J. Marius Zllner |
| 2022 | CVPR | Anomaly Detection in Autonomous Driving: A Survey. | Daniel Bogdoll, Maximilian Nitsche, J. Marius Zllner |
| 2022 | CVPR | Is Neuron Coverage Needed to Make Person Detection More Robust? | Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zllner |
| 2022 | ECCV | Cycle-Consistent World Models for Domain Independent Latent Imagination. | Sidney Bender, Tim Joseph, J. Marius Zllner |
| 2022 | ECCV | One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving. | Daniel Bogdoll, Stefani Guneshka, J. Marius Zllner |
| 2022 | ECCV | Adversarial Vulnerability of Temporal Feature Networks for Object Detection. | Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zllner |
| 2022 | ECCV | Plausibility Verification for 3D Object Detectors Using Energy-Based Optimization. | Abhishek Vivekanandan, Niels Maier, J. Marius Zllner |
| 2022 | IJCAI | Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection. | Svetlana Pavlitskaya, Bianca-Marina Codau, J. Marius Zllner |
| 2022 | SMC | Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. | Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zllner |
| 2022 | VEHITS | Ad-datasets: A Meta-collection of Data Sets for Autonomous Driving. | Daniel Bogdoll, Felix Schreyer, J. Marius Zllner |
| 2022 | VEHITS | An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios. | Barbara Schtt, Marc Heinrich, Sonja Marahrens, J. Marius Zllner, Eric Sax |
| 2021 | FUSION | Data-Driven Merging of Car-Following Models for Interaction-Aware Vehicle Speed Prediction. | Johannes Buyer, Dominic Waldenmayer, Raoul Zllner, J. Marius Zllner |
| 2021 | IROS | Safe Continuous Control with Constrained Model-Based Policy Optimization. | Moritz A. Zanger, Karam Daaboul, J. Marius Zllner |
| 2020 | CVPR | Using Mixture of Expert Models to Gain Insights into Semantic Segmentation. | Svetlana Pavlitskaya, Christian Hubschneider, Michael Weber, Ruby Moritz, Fabian Hger, Peter Schlicht, J. Marius Zllner |
| 2018 | ECCV | Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation. | Florian Piewak, Peter Pinggera, Manuel Schfer, David Peter, Beate Schwarz, Nick Schneider, Markus Enzweiler, David Pfeiffer, J. Marius Zllner |
| 2018 | IAS | Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-Wrttemberg. | Tobias Fleck, Karam Daaboul, Michael Weber, Philip Schrner, Marek Wehmer, Jens Doll, Stefan Orf, Nico Sumann, Christian Hubschneider, Marc Ren Zofka, Florian Kuhnt, Ralf Kohlhaas, Ingmar Baumgart, Raoul Zllner, J. Marius Zllner |
| 2018 | ICRA | Predicting Ego-Vehicle Paths from Environmental Observations with a Deep Neural Network. | Ulrich Baumann, Claudius Guiser, Michael Herman, J. Marius Zllner |
| 2017 | SMC | Estimating high definition map parameters with convolutional neural networks. | Sebastian Bittel, Timo Rehfeld, Michael Weber, J. Marius Zllner |
| 2016 | FUSION | Post processing of laser scanner measurements for testing advanced driver assistance systems. | Jan Erik Stellet, Leopold Walkling, J. Marius Zllner |
| 2016 | ICINCO | Unsupervised Contextual Task Learning and Recognition for Sharing Autonomy to Assist Mobile Robot Teleoperation. | Ming Gao, Ralf Kohlhaas, J. Marius Zllner |
| 2015 | FUSION | Data-driven simulation and parametrization of traffic scenarios for the development of advanced driver assistance systems. | Marc Rene Zofka, Florian Kuhnt, Ralf Kohlhaas, Christoph Rist, Thomas Schamm, J. Marius Zllner |
| 2014 | IROS | Contextual task-aware shared autonomy for assistive mobile robot teleoperation. | Ming Gao, Jan Oberlnder, Thomas Schamm, J. Marius Zllner |