Yinzhe Shen

According to our database, Yinzhe Shen authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset.

Royden Wagner, Ömer Sahin Tas, Jaime Villa, Felix Hauser, Yinzhe Shen, Marlon Steiner, Dominik Strutz, Carlos Fernández, Christian Kinzig, Guillermo S. Guitierrez-Cabello, Hendrik Königshof, Fabian Immel, Richard Schwarzkopf, Nils Alexander Rack, Kevin Rösch, Kaiwen Wang, Jan-Hendrik Pauls, Martin Lauer, Igor Gilitschenski, Holger Caesar, Christoph Stiller

CoRR, March, 2026

XD-MAP: Cross-Modal Domain Adaptation using Semantic Parametric Mapping.

Frank Bieder, Hendrik Königshof, Haohao Hu, Fabian Immel, Yinzhe Shen, Jan-Hendrik Pauls, Christoph Stiller

CoRR, January, 2026

2025

Generative AI for Autonomous Driving: A Review.

Katharina Winter, Abhishek Vivekanandan, Rupert Polley, Yinzhe Shen, Christian Schlauch, Mohamed-Khalil Bouzidi, Bojan Derajic, Natalie Grabowsky, Annajoyce Mariani, Dennis Rochau, Giovanni Lucente, Harsh Yadav, Firas Mualla, Adam Molin, Sebastian Bernhard, Christian Wirth, Ömer Sahin Tas, Nadja Klein, Fabian B. Flohr, Hanno Gottschalk

CoRR, May, 2025

Divide and Merge: Motion and Semantic Learning in End-to-End Autonomous Driving.

Yinzhe Shen, Ömer Sahin Tas, Kaiwen Wang, Royden Wagner, Christoph Stiller

Trans. Mach. Learn. Res., 2025

Adversarial Attacked Teacher for Domain Adaptive Object Detection Under Poor Visibility Conditions.

Kaiwen Wang, Yinzhe Shen, Martin Lauer

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

2024

Adversarial Attacked Teacher for Unsupervised Domain Adaptive Object Detection.

Kaiwen Wang, Yinzhe Shen, Martin Lauer

CoRR, 2024

Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions.

Kaiwen Wang, Yinzhe Shen, Martin Lauer

CoRR, 2024

2022

SAN: Scene Anchor Networks for Joint Action-Space Prediction.

Faris Janjos, Maxim Dolgov, Muhamed Kuric, Yinzhe Shen, J. Marius Zöllner

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022