Katrin Renz

21 papers A* 1A 1Misc 2Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models.
CoRR
Haoyu He, Katrin Renz, Yong Cao, Andreas Geiger
2025 J jnl
PlanT 2.0: Exposing Biases and Structural Flaws in Closed-Loop Driving.
CoRR
Simon Gerstenecker, Andreas Geiger, Katrin Renz
2025 A* conf
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment.
CVPR
Katrin Renz, Long Chen, Elahe Arani, Oleg Sinavski
2025 J jnl
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment.
CoRR
Katrin Renz, Long Chen, Elahe Arani, Oleg Sinavski
2024 A conf
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
IROS
Marcel Hallgarten, Julián Zapata, Martin Stoll, Katrin Renz, Andreas Zell
2024 J jnl
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
CoRR
Marcel Hallgarten, Julián Zapata, Martin Stoll, Katrin Renz, Andreas Zell
2024 J jnl
CarLLaVA: Vision language models for camera-only closed-loop driving.
CoRR
Katrin Renz, Long Chen, Ana-Maria Marcu, Jan Hünermann, Benoît Hanotte, Alice Karnsund, Jamie Shotton, Elahe Arani, Oleg Sinavski
2024 — conf
DriveLM: Driving with Graph Visual Question Answering.
ECCV (52)
Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Jens Beißwenger, Ping Luo, Andreas Geiger, Hongyang Li
2023 J jnl
DriveLM: Driving with Graph Visual Question Answering.
CoRR
Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Ping Luo, Andreas Geiger, Hongyang Li
2023 — conf
On Offline Evaluation of 3D Object Detection for Autonomous Driving.
ICCV (Workshops)
Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta
2023 J jnl
On Offline Evaluation of 3D Object Detection for Autonomous Driving.
CoRR
Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta
2023 J jnl
TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving.
IEEE Trans. Pattern Anal. Mach. Intell.
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger
2022 — conf
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients.
ECCV (38)
Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger
2022 J jnl
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients.
CoRR
Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger
2022 Misc conf
PlanT: Explainable Planning Transformers via Object-Level Representations.
CoRL
Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger
2022 J jnl
PlanT: Explainable Planning Transformers via Object-Level Representations.
CoRR
Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger
2022 J jnl
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving.
CoRR
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger
2021 Misc conf
Sign Language Segmentation with Temporal Convolutional Networks.
ICASSP
Katrin Renz, Nicolaj C. Stache, Samuel Albanie, Gül Varol
2021 — conf
Sign Segmentation With Changepoint-Modulated Pseudo-Labelling.
CVPR Workshops
Katrin Renz, Nicolaj C. Stache, Neil Fox, Gül Varol, Samuel Albanie
2021 J jnl
Sign Segmentation with Changepoint-Modulated Pseudo-Labelling.
CoRR
Katrin Renz, Nicolaj C. Stache, Neil Fox, Gül Varol, Samuel Albanie
2020 J jnl
Sign language segmentation with temporal convolutional networks.
CoRR
Katrin Renz, Nicolaj C. Stache, Samuel Albanie, Gül Varol