Sarfraz, M. Saquib

9 publications

TMLR 2026 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

ICCV 2025 Is Visual In-Context Learning for Compositional Medical Tasks Within Reach? Simon Reiß, Zdravko Marinov, Alexander Jaus, Constantin Seibold, M. Saquib Sarfraz, Erik Rodner, Rainer Stiefelhagen

NeurIPS 2024 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

CVPR 2024 Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment Muhammad Sohail Danish, Muhammad Haris Khan, Muhammad Akhtar Munir, M. Saquib Sarfraz, Mohsen Ali

NeurIPS 2024 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

AAAI 2024 Navigating Open Set Scenarios for Skeleton-Based Action Recognition Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg

NeurIPSW 2024 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

ICML 2024 Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? M. Saquib Sarfraz, Mei-Yen Chen, Lukas Layer, Kunyu Peng, Marios Koulakis

CVPRW 2022 Pose-Based Contrastive Learning for Domain Agnostic Activity Representations David Schneider, M. Saquib Sarfraz, Alina Roitberg, Rainer Stiefelhagen