Statistical appearance models for automatic pose invariant face recognition. - M. Saquib Sarfraz; Olaf Hellwich (FG, 2008)

Head Pose Estimation in Face Recognition Across Pose Scenarios. - M. Saquib Sarfraz; Olaf Hellwich (VISAPP (1), 2008)

On Head Pose Estimation in Face Recognition. - M. Saquib Sarfraz; Olaf Hellwich (VISIGRAPP (Selected Papers), 2008)

Towards automatic face recognition in unconstrained ccenarios. - Muhammad Saquib Sarfraz (2008)

Multi-feature fusion in advanced robotics applications. - Zahid Riaz; Christoph Mayer 001; Michael Beetz; Bernd Radig; M. Saquib Sarfraz (FIT, 2009)

Bayesian prior models for vehicle make and model recognition. - M. Saquib Sarfraz; Ahmed Saeed 003; Muhammad Haris Khan; Zahid Riaz (FIT, 2009)

Probabilistic learning for fully automatic face recognition across pose. - M. Saquib Sarfraz; Olaf Hellwich (Image Vis. Comput., 2010)

Text Detection in Still Images and CCTV Videos using Local Energy based Shape Histogram Features (LESH). - Muhammad Fraz; M. Saquib Sarfraz (VISAPP, 2011)

A Probabilistic Framework for Patch based Vehicle Type Recognition. - M. Saquib Sarfraz; Muhammad Haris Khan (VISAPP, 2011)

Real Time Localization, Tracking and Recognition of Vehicle License Plate. - Azeem Shahzad; Muhammad Fraz; Muhammad Adnan Elahi; M. Saquib Sarfraz (VISAPP, 2011)

Automatic registration of SAR and optical images based on mutual information assisted Monte Carlo. - Muhammad Adnan Siddique; M. Saquib Sarfraz; David Bornemann; Olaf Hellwich (IGARSS, 2012)

RPM: Random Points Matching for Pair wise Face-Similarity. - M. Saquib Sarfraz; Muhammad Adnan Siddique; Rainer Stiefelhagen (BMVC, 2013)

Human object annotation for surveillance video forensics. - Muhammad Fraz; Iffat Zafar; Giounona Tzanidou; Eran A. Edirisinghe; Muhammad Saquib Sarfraz (J. Electronic Imaging, 2013)

Real-time automatic license plate recognition for CCTV forensic applications. - M. Saquib Sarfraz; Azeem Shahzad; Muhammad Adnan Elahi; Muhammad Fraz; Iffat Zafar; Eran A. Edirisinghe (J. Real Time Image Process., 2013)

Exploiting Color Information for Better Scene Text Recognition. - Muhammad Fraz; M. Saquib Sarfraz; Eran A. Edirisinghe (BMVC, 2014)

Mid-level-Representation Based Lexicon for Vehicle Make and Model Recognition. - Muhammad Fraz; Eran A. Edirisinghe; M. Saquib Sarfraz (ICPR, 2014)

Deep Perceptual Mapping for Thermal to Visible Face Recogntion. - M. Saquib Sarfraz; Rainer Stiefelhagen (BMVC, 2015)

3D Facial Landmark Detection: How to Deal with Head Rotations? - Anke Schwarz; Esther-Sabrina Wacker; Manuel Martin; M. Saquib Sarfraz; Rainer Stiefelhagen (GCPR, 2015)

Deep Perceptual Mapping for Thermal to Visible Face Recognition. - M. Saquib Sarfraz; Rainer Stiefelhagen (CoRR, 2015)

Exploiting colour information for better scene text detection and recognition. - Muhammad Fraz; M. Saquib Sarfraz; Eran A. Edirisinghe (Int. J. Document Anal. Recognit., 2015)

Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model. - M. Saquib Sarfraz; Arne Schumann; Yan Wang; Rainer Stiefelhagen (BMVC, 2017)

Heterogeneous Face Recognition: Recent Advances in Infrared-to-Visible Matching. - Shuowen Hu; Nathaniel J. Short; Benjamin S. Riggan; Matthew Chasse; M. Saquib Sarfraz (FG, 2017)

Deep Perceptual Mapping for Cross-Modal Face Recognition. - M. Saquib Sarfraz; Rainer Stiefelhagen (Int. J. Comput. Vis., 2017)

A Multimodal Assistive System for Helping Visually Impaired in Social Interactions. - M. Saquib Sarfraz; Angela Constantinescu; Melanie Zuzej; Rainer Stiefelhagen (Inform. Spektrum, 2017)

A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking. - M. Saquib Sarfraz; Arne Schumann; Andreas Eberle; Rainer Stiefelhagen (CVPR, 2018)

Icme Grand Challenge Results on Heterogeneous Face Recognition: Polarimetric Thermal-to-Visible Matching. - Benjamin S. Riggan; Nathaniel J. Short; M. Saquib Sarfraz; Shuowen Hu; He Zhang 004; Vishal M. Patel; Sanka Rasnayaka; Jing Li 050; Terence Sim; Seyed Mehdi Iranmanesh; Nasser M. Nasrabadi (ICME Workshops, 2018)

PLUMCOT at TRECVid Instance Search 2018. - Hervé Bredin; Benjamin Maurice; Ruiqing Yin; Camille Guinaudeau; Aman Behre; Claude Barras; Vivek Sharma 001; M. Saquib Sarfraz (TRECVID, 2018)

Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. - M. Saquib Sarfraz; Constantin Seibold; Haroon Khalid; Rainer Stiefelhagen (BMVC, 2019)

Efficient Parameter-Free Clustering Using First Neighbor Relations. - M. Saquib Sarfraz; Vivek Sharma 001; Rainer Stiefelhagen (CVPR, 2019)

Vision-Based Mouth Motion Analysis in Epilepsy: A 3D Perspective. - David Ahmedt-Aristizabal; Kien Nguyen 001; Simon Denman; M. Saquib Sarfraz; Sridha Sridharan; Sasha Dionisio; Clinton Fookes (EMBC, 2019)

Motion Signatures for the Analysis of Seizure Evolution in Epilepsy. - David Ahmedt-Aristizabal; M. Saquib Sarfraz; Simon Denman; Kien Nguyen 001; Clinton Fookes; Sasha Dionisio; Rainer Stiefelhagen (EMBC, 2019)

Self-Supervised Learning of Face Representations for Video Face Clustering. - Vivek Sharma 001; Makarand Tapaswi; M. Saquib Sarfraz; Rainer Stiefelhagen (FG, 2019)

Anchor-free Small-scale Multispectral Pedestrian Detection. - Alexander Wolpert; Michael Teutsch; M. Saquib Sarfraz; Rainer Stiefelhagen (BMVC, 2020)

Clustering based Contrastive Learning for Improving Face Representations. - Vivek Sharma 001; Makarand Tapaswi; M. Saquib Sarfraz; Rainer Stiefelhagen (FG, 2020)

Video Face Clustering With Self-Supervised Representation Learning. - Vivek Sharma 001; Makarand Tapaswi; M. Saquib Sarfraz; Rainer Stiefelhagen (IEEE Trans. Biom. Behav. Identity Sci., 2020)

Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. - M. Saquib Sarfraz; Naila Murray; Vivek Sharma 001; Ali Diba; Luc Van Gool; Rainer Stiefelhagen (CVPR, 2021)

Vi2CLR: Video and Image for Visual Contrastive Learning of Representation. - Ali Diba; Vivek Sharma 001; Reza Safdari; Dariush Lotfi; M. Saquib Sarfraz; Rainer Stiefelhagen; Luc Van Gool (ICCV, 2021)

Deep Learning Based Oil Spill Classification Using Unet Convolutional Neural Network. - Abdul Basit; Muhammad Adnan Siddique; Muhammad Saquib Sarfraz (IGARSS, 2021)

SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection. - Muhammad Akhtar Munir; Muhammad Haris Khan; M. Saquib Sarfraz; Mohsen Ali (NeurIPS, 2021)

Unsupervised Meta-Domain Adaptation for Fashion Retrieval. - Vivek Sharma 001; Naila Murray; Diane Larlus; M. Saquib Sarfraz; Rainer Stiefelhagen; Gabriela Csurka (WACV, 2021)

Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection. - Muhammad Akhtar Munir; Muhammad Haris Khan; M. Saquib Sarfraz; Mohsen Ali (CoRR, 2021)

Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. - Constantin Marc Seibold; Simon Reiß; M. Saquib Sarfraz; Matthias A. Fink; Victoria Mayer; Jan Sellner; Moon-Sung Kim 002; Klaus H. Maier-Hein; Jens Kleesiek; Rainer Stiefelhagen (BMVC, 2022)

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. - M. Saquib Sarfraz; Marios Koulakis; Constantin Seibold; Rainer Stiefelhagen (CVPR, 2022)

Pose-based Contrastive Learning for Domain Agnostic Activity Representations. - David Schneider 006; M. Saquib Sarfraz; Alina Roitberg; Rainer Stiefelhagen (CVPR Workshops, 2022)

Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training. - Constantin Seibold; Simon Reiß; M. Saquib Sarfraz; Rainer Stiefelhagen; Jens Kleesiek (MICCAI (5), 2022)

Towards Improving Calibration in Object Detection Under Domain Shift. - Muhammad Akhtar Munir; Muhammad Haris Khan; M. Saquib Sarfraz; Mohsen Ali (NeurIPS, 2022)

Comparison of CNNs and Vision Transformers-Based Hybrid Models Using Gradient Profile Loss for Classification of Oil Spills in SAR Images. - Abdul Basit; Muhammad Adnan Siddique; Muhammad Khurram Bhatti; Muhammad Saquib Sarfraz (Remote. Sens., 2022)

MuscleMap: Towards Video-based Activated Muscle Group Estimation. - Kunyu Peng; David Schneider 006; Alina Roitberg; Kailun Yang 001; Jiaming Zhang 001; M. Saquib Sarfraz; Rainer Stiefelhagen (CoRR, 2023)

FeatFSDA: Towards Few-shot Domain Adaptation for Video-based Activity Recognition. - Kunyu Peng; Di Wen 006; David Schneider 006; Jiaming Zhang 001; Kailun Yang 001; M. Saquib Sarfraz; Rainer Stiefelhagen; Alina Roitberg (CoRR, 2023)

Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning. - Muhammad Akhtar Munir; Muhammad Haris Khan; M. Saquib Sarfraz; Mohsen Ali (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Navigating Open Set Scenarios for Skeleton-Based Action Recognition. - Kunyu Peng; Cheng Yin; Junwei Zheng; Ruiping Liu 001; David Schneider 006; Jiaming Zhang 001; Kailun Yang 001; M. Saquib Sarfraz; Rainer Stiefelhagen; Alina Roitberg (AAAI, 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 (CVPR, 2024)

Perturbing Dominant Feature Modes for Single Domain-Generalized Object Detection. - Muhammad Sohail Danish; Javed Iqbal 007; Mohsen Ali; M. Saquib Sarfraz; Salman H. Khan 001; Muhammad Haris Khan (DICTA, 2024)

Referring Atomic Video Action Recognition. - Kunyu Peng; Jia Fu 001; Kailun Yang 001; Di Wen 006; Yufan Chen 001; Ruiping Liu 001; Junwei Zheng; Jiaming Zhang 001; M. Saquib Sarfraz; Rainer Stiefelhagen; Alina Roitberg (ECCV (19), 2024)

AltChart: Enhancing VLM-Based Chart Summarization Through Multi-pretext Tasks. - Omar Moured; Jiaming Zhang 001; M. Saquib Sarfraz; Rainer Stiefelhagen (ICDAR (1), 2024)

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

Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation. - Ruiping Liu 001; Jiaming Zhang 001; Kunyu Peng; Yufan Chen 001; Ke Cao; Junwei Zheng; M. Saquib Sarfraz; Kailun Yang 001; Rainer Stiefelhagen (IV, 2024)

Towards Video-based Activated Muscle Group Estimation in the Wild. - Kunyu Peng; David Schneider 006; Alina Roitberg; Kailun Yang 001; Jiaming Zhang 001; Chen Deng; Kaiyu Zhang; M. Saquib Sarfraz; Rainer Stiefelhagen (ACM Multimedia, 2024)

Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler. - Kunyu Peng; Di Wen 006; Kailun Yang 001; Ao Luo; Yufan Chen 001; Jia Fu 001; M. Saquib Sarfraz; Alina Roitberg; Rainer Stiefelhagen (NeurIPS, 2024)

Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations. - David Schneider 006; Simon Reiß; Marco Kugler; Alexander Jaus; Kunyu Peng; Susanne Sutschet; M. Saquib Sarfraz; Sven Matthiesen; Rainer Stiefelhagen (NeurIPS, 2024)

Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data. - Lukas Heine; Fabian Hörst; Jana Fragemann; Gijs Luijten; Miriam Balzer; Jan Egger; Fin Hendrik Bahnsen; M. Saquib Sarfraz; Jens Kleesiek; Constantin Seibold (CoRR, 2024)

Masked Differential Privacy. - David Schneider 006; Sina Sajadmanesh; Vikash Sehwag; M. Saquib Sarfraz; Rainer Stiefelhagen; Lingjuan Lyu; Vivek Sharma 001 (CoRR, 2024)

Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations. - David Schneider 006; Simon Reiß; Marco Kugler; Alexander Jaus; Kunyu Peng; Susanne Sutschet; M. Saquib Sarfraz; Sven Matthiesen; Rainer Stiefelhagen (CoRR, 2024)

Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization. - Kunyu Peng; Di Wen 006; Muhammad Saquib Sarfraz; Yufan Chen 001; Junwei Zheng; David Schneider 006; Kailun Yang 001; Jiamin Wu; Alina Roitberg; Rainer Stiefelhagen (CoRR, 2024)

Recognizing affective states from the expressive behavior of tennis players using convolutional neural networks. - Darko Jekauc; Diana Burkart; Julian Fritsch; Marc Hesenius; Ole Meyer; M. Saquib Sarfraz; Rainer Stiefelhagen (Knowl. Based Syst., 2024)

Deep Learning-Based Detection of Oil Spills in Pakistan's Exclusive Economic Zone from January 2017 to December 2023. - Abdul Basit; Muhammad Adnan Siddique; Salman Bashir; Ehtasham Naseer; Muhammad Saquib Sarfraz (Remote. Sens., 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 (CoRR, 2025)

Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments. - Di Wen 006; Lei Qi; Kunyu Peng; Kailun Yang 001; Fei Teng; Ao Luo; Jia Fu 001; Yufan Chen 001; Ruiping Liu 001; Yitian Shi; M. Saquib Sarfraz; Rainer Stiefelhagen (CoRR, 2025)

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness. - Mei-Yen Chen; Thi Thu Uyen Hoang; Michael Hahn 001; M. Saquib Sarfraz (CoRR, 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 (CoRR, 2025)