Sign Segmentation With Changepoint-Modulated Pseudo-Labelling. - Katrin Renz; Nicolaj C. Stache; Neil Fox; Gül Varol; Samuel Albanie (CVPR Workshops, 2021)

Sign Language Segmentation with Temporal Convolutional Networks. - Katrin Renz; Nicolaj C. Stache; Samuel Albanie; Gül Varol (ICASSP, 2021)

PlanT: Explainable Planning Transformers via Object-Level Representations. - Katrin Renz; Kashyap Chitta; Otniel-Bogdan Mercea; A. Sophia Koepke; Zeynep Akata; Andreas Geiger 001 (CoRL, 2022)

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. - Niklas Hanselmann; Katrin Renz; Kashyap Chitta; Apratim Bhattacharyya; Andreas Geiger 001 (ECCV (38), 2022)

On Offline Evaluation of 3D Object Detection for Autonomous Driving. - Tim Schreier; Katrin Renz; Andreas Geiger 001; Kashyap Chitta (ICCV (Workshops), 2023)

DriveLM: Driving with Graph Visual Question Answering. - Chonghao Sima; Katrin Renz; Kashyap Chitta; Li Chen 008; Hanxue Zhang; Chengen Xie; Ping Luo 002; Andreas Geiger 001; Hongyang Li 001 (CoRR, 2023)

TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving. - Kashyap Chitta; Aditya Prakash 001; Bernhard Jaeger; Zehao Yu 002; Katrin Renz; Andreas Geiger 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DriveLM: Driving with Graph Visual Question Answering. - Chonghao Sima; Katrin Renz; Kashyap Chitta; Li Chen 008; Hanxue Zhang; Chengen Xie; Jens Beißwenger; Ping Luo 002; Andreas Geiger 001; Hongyang Li 001 (ECCV (52), 2024)

Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios? - Marcel Hallgarten; Julián Zapata; Martin Stoll; Katrin Renz; Andreas Zell (IROS, 2024)

CarLLaVA: Vision language models for camera-only closed-loop driving. - Katrin Renz; Long Chen 015; Ana-Maria Marcu; Jan Hünermann; Benoît Hanotte; Alice Karnsund; Jamie Shotton; Elahe Arani; Oleg Sinavski (CoRR, 2024)

SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment. - Katrin Renz; Long Chen 015; Elahe Arani; Oleg Sinavski (CVPR, 2025)

MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models. - Haoyu He; Katrin Renz; Yong Cao 001; Andreas Geiger 001 (CoRR, 2025)