Tim Joseph

19 papers A* 1C 1Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning.
CoRR
Ahmed Abouelazm, Tim Weinstein, Tim Joseph, Philip Schörner, J. Marius Zöllner
2025 J jnl
Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving.
CoRR
Ahmed Abouelazm, Jonas Michel, Helen Gremmelmaier, Tim Joseph, Philip Schörner, J. Marius Zöllner
2024 J jnl
Constrained Meta Agnostic Reinforcement Learning.
CoRR
Karam Daaboul, Florian Kuhm, Tim Joseph, J. Marius Zoellner
2024 — conf
Dream to Drive: Learning Conditional Driving Policies in Imagination.
ITSC
Tim Joseph, Marcus Fechner, Ahmed Abouelazm, J. Marius Zöllner
2024 J jnl
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving.
CoRR
Daniel Bogdoll, Jan Imhof, Tim Joseph, J. Marius Zöllner
2024 — conf
Hybrid Video Anomaly Detection for Autonomous Driving.
BMVC Workshops
Daniel Bogdoll, Jan Imhof, Tim Joseph, Svetlana Pavlitska, J. Marius Zöllner
2024 A* conf
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions.
ICRA
Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner
2024 J jnl
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions.
CoRR
Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner
2024 — conf
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving.
BMVC Workshops
Daniel Bogdoll, Noël Ollick, Tim Joseph, Svetlana Pavlitska, J. Marius Zöllner
2024 J jnl
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving.
CoRR
Daniel Bogdoll, Noël Ollick, Tim Joseph, J. Marius Zöllner
2023 — conf
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving.
SSCI
Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner
2023 J jnl
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving.
CoRR
Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner
2023 — conf
Predicting Patient Status in Chronic Thromboembolic Pulmonary Hypertension Using a Biophysical Model.
EMBC
Behdad Shaarbaf Ebrahimi, Prashanna Khwaounjoo, Finbar Argus, Ho-Fung Chan, Martyn P. Nash, David McGiffin, David Kaye, Atsuo Doi, Tim Joseph, Helen Whitford, Merryn H. Tawhai
2022 — conf
Cycle-Consistent World Models for Domain Independent Latent Imagination.
ECCV Workshops (5)
Sidney Bender, Tim Joseph, J. Marius Zöllner
2022 J jnl
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.
CoRR
Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer
2022 C conf
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules.
IV
Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner
2022 J jnl
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules.
CoRR
Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner
2021 J jnl
Cycle-Consistent World Models for Domain Independent Latent Imagination.
CoRR
Sidney Bender, Tim Joseph, J. Marius Zöllner
2019 — conf
Analysis of the Effect of Various Input Representations for LSTM-Based Trajectory Prediction.
ITSC
Antonia Breuer, Sven Elflein, Tim Joseph, Jan-Aike Bolte, Silviu Homoceanu, Tim Fingscheidt