M. Saquib Sarfraz

Principal Researcher, Autonomous Systems, Mercedes-Benz Tech innovation

Lecturer, Informatics and Robotics, Karlsruher Institut für Technologie

Joined

December 2017

Names

M. Saquib Sarfraz

Emails

****@kit.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Principal Researcher

Autonomous Systems, Mercedes-Benz Tech innovation (mercedes-benz.com)

2019 – Present

Lecturer

Informatics and Robotics, Karlsruher Institut für Technologie (kit.edu)

2012 – Present

Advisors, Relations & Conflicts

Coauthor

Rainer Stiefelhagen

Present

Expertise

Clustering

representation learning

selfsupervised learning

domain adaptation

person reidentification

Present

Publications

DRIVEXQA: Cross-modal Visual Question Answering for Adverse Driving Scene Understanding
Mingzhe Tao, Ruiping Liu, Junwei Zheng, Yufan Chen, Kedi Ying, M. Saquib Sarfraz, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen
- DriveX Poster
- Readers: Everyone
AI scratching your car: Using diffusion models for training data generation in automotive damage detection
Julian Strietzel, M. Saquib Sarfraz, Rainer Stiefelhagen
- Forum Bildverarbeitung 2024
- Readers: Everyone
When Does LoRA Reuse Work? Theoretical Limits and Mechanisms for Recycling LoRAs Without Data Access
Mei-Yen Chen, Thi Thu Uyen Hoang, Michael Hahn, M. Saquib Sarfraz
- Accepted by TMLR
- Readers: Everyone
Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments
Di Wen, Lei Qi, Kunyu Peng, Kailun Yang, Fei Teng, Ao Luo, Jia Fu, Yufan Chen, Ruiping Liu, Yitian Shi, M. Saquib Sarfraz, Rainer Stiefelhagen
- ICLR 2026 Poster
- Readers: Everyone
EReLiFM: Evidential Reliability-Aware Residual Flow Meta-Learning for Open-Set Domain Generalization under Noisy Labels
Kunyu Peng, Di Wen, Kailun Yang, Jia Fu, Yufan Chen, Ruiping Liu, Jiamin Wu, Junwei Zheng, M. Saquib Sarfraz, Luc Van Gool, Danda Pani Paudel, Rainer Stiefelhagen
- Submitted to ICLR 2026
- Readers: Everyone
Optimizing Small Language Models for In-Vehicle Function-Calling
YAHYA SOWTI KHIABANI, Farris Atif, Chieh Hsu, Sven Stahlmann, Tobias Michels, Sebastian Kramer, Benedikt Heidrich, M. Saquib Sarfraz, Julian Merten, Faezeh Tafazzoli
- FITML 2024 Poster
- Readers: Everyone
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations
David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
Kunyu Peng, Di Wen, Kailun Yang, Ao Luo, Yufan Chen, Jia Fu, M. Saquib Sarfraz, Alina Roitberg, Rainer Stiefelhagen
- NeurIPS 2024 poster
- Readers: Everyone
Towards Video-based Activated Muscle Group Estimation in the Wild
Kunyu Peng, David Schneider, Alina Roitberg, Kailun Yang, Jiaming Zhang, Chen Deng, Kaiyu Zhang, M. Saquib Sarfraz, Rainer Stiefelhagen
- MM2024 Poster
- Readers: Everyone
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
M. Saquib Sarfraz, Mei-Yen Chen, Lukas Layer, Kunyu Peng, Marios Koulakis
- ICML 2024 Poster
- Readers: Everyone

View all 18 publications

Co-Authors

View all 51 co-authors