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ORCIDM. Saquib Sarfraz
Person information
- affiliation: KIT Karlsruhe University, Institute for Anthropomatics and Robotics
- affiliation: COMSATS Institute of Technology, Lahore
- affiliation: Berlin University of Technology, Computer Vision and Remote Sensing Lab
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2020 – today
- 2024
[c37]Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg:
Navigating Open Set Scenarios for Skeleton-Based Action Recognition. AAAI 2024: 4487-4496- [i21]Ruiping Liu, Jiaming Zhang, Kunyu Peng, Yufan Chen, Ke Cao, Junwei Zheng, M. Saquib Sarfraz, Kailun Yang, Rainer Stiefelhagen:
Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation. CoRR abs/2401.16923 (2024) - 2023
- [j9]Muhammad Akhtar Munir
, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14353-14365 (2023) - [i20]Kunyu Peng, David Schneider, Alina Roitberg, Kailun Yang, Jiaming Zhang, M. Saquib Sarfraz, Rainer Stiefelhagen:
MuscleMap: Towards Video-based Activated Muscle Group Estimation. CoRR abs/2303.00952 (2023) - [i19]Kunyu Peng, Di Wen, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg:
FeatFSDA: Towards Few-shot Domain Adaptation for Video-based Activity Recognition. CoRR abs/2305.08420 (2023) - [i18]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning. CoRR abs/2311.04815 (2023) - [i17]Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg:
Navigating Open Set Scenarios for Skeleton-based Action Recognition. CoRR abs/2312.06330 (2023) - 2022
- [j8]Abdul Basit, Muhammad Adnan Siddique, Muhammad Khurram Bhatti, Muhammad Saquib Sarfraz:
Comparison of CNNs and Vision Transformers-Based Hybrid Models Using Gradient Profile Loss for Classification of Oil Spills in SAR Images. Remote. Sens. 14(9): 2085 (2022) - [c36]Constantin Marc Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. BMVC 2022: 58 - [c35]M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold, Rainer Stiefelhagen:
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. CVPR 2022: 336-345 - [c34]David Schneider, M. Saquib Sarfraz, Alina Roitberg, Rainer Stiefelhagen:
Pose-based Contrastive Learning for Domain Agnostic Activity Representations. CVPR Workshops 2022: 3432-3442 - [c33]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek:
Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training. MICCAI (5) 2022: 690-700 - [c32]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Towards Improving Calibration in Object Detection Under Domain Shift. NeurIPS 2022 - [i16]M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold, Rainer Stiefelhagen:
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. CoRR abs/2203.12997 (2022) - [i15]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek:
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training. CoRR abs/2205.07139 (2022) - [i14]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Towards Improving Calibration in Object Detection Under Domain Shift. CoRR abs/2209.07601 (2022) - [i13]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. CoRR abs/2210.03416 (2022) - 2021
- [c31]M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR 2021: 11225-11234 - [c30]Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, Luc Van Gool:
Vi2CLR: Video and Image for Visual Contrastive Learning of Representation. ICCV 2021: 1482-1492 - [c29]Abdul Basit, Muhammad Adnan Siddique, Muhammad Saquib Sarfraz:
Deep Learning Based Oil Spill Classification Using Unet Convolutional Neural Network. IGARSS 2021: 3491-3494 - [c28]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection. NeurIPS 2021: 22770-22782 - [c27]Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka:
Unsupervised Meta-Domain Adaptation for Fashion Retrieval. WACV 2021: 1347-1356 - [i12]M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CoRR abs/2103.11264 (2021) - [i11]Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection. CoRR abs/2110.00249 (2021) - 2020
- [j7]Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Video Face Clustering With Self-Supervised Representation Learning. IEEE Trans. Biom. Behav. Identity Sci. 2(2): 145-157 (2020) - [c26]Alexander Wolpert, Michael Teutsch, M. Saquib Sarfraz, Rainer Stiefelhagen:
Anchor-free Small-scale Multispectral Pedestrian Detection. BMVC 2020 - [c25]Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Clustering based Contrastive Learning for Improving Face Representations. FG 2020: 109-116 - [i10]Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Clustering based Contrastive Learning for Improving Face Representations. CoRR abs/2004.02195 (2020) - [i9]Alexander Wolpert, Michael Teutsch, M. Saquib Sarfraz, Rainer Stiefelhagen:
Anchor-free Small-scale Multispectral Pedestrian Detection. CoRR abs/2008.08418 (2020)
2010 – 2019
- 2019
- [c24]M. Saquib Sarfraz, Constantin Seibold, Haroon Khalid, Rainer Stiefelhagen:
Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. BMVC 2019: 287 - [c23]M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen:
Efficient Parameter-Free Clustering Using First Neighbor Relations. CVPR 2019: 8934-8943 - [c22]David Ahmedt-Aristizabal, Kien Nguyen, Simon Denman, M. Saquib Sarfraz, Sridha Sridharan, Sasha Dionisio, Clinton Fookes:
Vision-Based Mouth Motion Analysis in Epilepsy: A 3D Perspective. EMBC 2019: 1625-1629 - [c21]David Ahmedt-Aristizabal, M. Saquib Sarfraz, Simon Denman, Kien Nguyen, Clinton Fookes, Sasha Dionisio, Rainer Stiefelhagen:
Motion Signatures for the Analysis of Seizure Evolution in Epilepsy. EMBC 2019: 2099-2105 - [c20]Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Self-Supervised Learning of Face Representations for Video Face Clustering. FG 2019: 1-8 - [i8]M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen:
Efficient Parameter-free Clustering Using First Neighbor Relations. CoRR abs/1902.11266 (2019) - [i7]Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Self-Supervised Learning of Face Representations for Video Face Clustering. CoRR abs/1903.01000 (2019) - [i6]M. Saquib Sarfraz, Constantin Seibold, Haroon Khalid, Rainer Stiefelhagen:
Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. CoRR abs/1908.00274 (2019) - 2018
- [c19]M. Saquib Sarfraz, Arne Schumann, Andreas Eberle, Rainer Stiefelhagen:
A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking. CVPR 2018: 420-429 - [c18]Benjamin S. Riggan, Nathaniel J. Short, M. Saquib Sarfraz, Shuowen Hu, He Zhang, Vishal M. Patel, Sanka Rasnayaka, Jing Li, Terence Sim, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Icme Grand Challenge Results on Heterogeneous Face Recognition: Polarimetric Thermal-to-Visible Matching. ICME Workshops 2018: 1-4 - [c17]Hervé Bredin, Benjamin Maurice, Ruiqing Yin, Camille Guinaudeau, Aman Behre, Claude Barras, Vivek Sharma, M. Saquib Sarfraz:
PLUMCOT at TRECVid Instance Search 2018. TRECVID 2018 - 2017
- [j6]M. Saquib Sarfraz, Rainer Stiefelhagen:
Deep Perceptual Mapping for Cross-Modal Face Recognition. Int. J. Comput. Vis. 122(3): 426-438 (2017) - [j5]M. Saquib Sarfraz, Angela Constantinescu, Melanie Zuzej, Rainer Stiefelhagen:
A Multimodal Assistive System for Helping Visually Impaired in Social Interactions. Inform. Spektrum 40(6): 540-545 (2017) - [c16]M. Saquib Sarfraz, Arne Schumann, Yan Wang, Rainer Stiefelhagen:
Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model. BMVC 2017 - [c15]Shuowen Hu, Nathaniel J. Short, Benjamin S. Riggan, Matthew Chasse, M. Saquib Sarfraz:
Heterogeneous Face Recognition: Recent Advances in Infrared-to-Visible Matching. FG 2017: 883-890 - [i5]M. Saquib Sarfraz, Arne Schumann, Yan Wang, Rainer Stiefelhagen:
Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model. CoRR abs/1707.06089 (2017) - [i4]M. Saquib Sarfraz, Arne Schumann, Andreas Eberle, Rainer Stiefelhagen:
A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking. CoRR abs/1711.10378 (2017) - [i3]M. Saquib Sarfraz, Angela Constantinescu, Melanie Zuzej, Rainer Stiefelhagen:
A Multimodal Assistive System for Helping Visually Impaired in Social Interactions. CoRR abs/1711.10886 (2017) - 2016
- [i2]M. Saquib Sarfraz, Rainer Stiefelhagen:
Deep Perceptual Mapping for Cross-Modal Face Recognition. CoRR abs/1601.05347 (2016) - 2015
- [j4]Muhammad Fraz, M. Saquib Sarfraz, Eran A. Edirisinghe:
Exploiting colour information for better scene text detection and recognition. Int. J. Document Anal. Recognit. 18(2): 153-167 (2015) - [c14]M. Saquib Sarfraz, Rainer Stiefelhagen:
Deep Perceptual Mapping for Thermal to Visible Face Recogntion. BMVC 2015: 9.1-9.11 - [c13]Anke Schwarz, Esther-Sabrina Wacker, Manuel Martin, M. Saquib Sarfraz, Rainer Stiefelhagen:
3D Facial Landmark Detection: How to Deal with Head Rotations? GCPR 2015: 424-434 - [i1]M. Saquib Sarfraz, Rainer Stiefelhagen:
Deep Perceptual Mapping for Thermal to Visible Face Recognition. CoRR abs/1507.02879 (2015) - 2014
- [c12]Muhammad Fraz, M. Saquib Sarfraz, Eran A. Edirisinghe:
Exploiting Color Information for Better Scene Text Recognition. BMVC 2014 - [c11]Muhammad Fraz, Eran A. Edirisinghe, M. Saquib Sarfraz:
Mid-level-Representation Based Lexicon for Vehicle Make and Model Recognition. ICPR 2014: 393-398 - 2013
- [j3]Muhammad Fraz, Iffat Zafar, Giounona Tzanidou, Eran A. Edirisinghe, Muhammad Saquib Sarfraz:
Human object annotation for surveillance video forensics. J. Electronic Imaging 22(4): 041115 (2013) - [j2]M. Saquib Sarfraz, Azeem Shahzad, Muhammad Adnan Elahi, Muhammad Fraz, Iffat Zafar, Eran A. Edirisinghe:
Real-time automatic license plate recognition for CCTV forensic applications. J. Real Time Image Process. 8(3): 285-295 (2013) - [c10]M. Saquib Sarfraz, Muhammad Adnan Siddique, Rainer Stiefelhagen:
RPM: Random Points Matching for Pair wise Face-Similarity. BMVC 2013 - 2012
- [c9]Muhammad Adnan Siddique, M. Saquib Sarfraz, David Bornemann, Olaf Hellwich:
Automatic registration of SAR and optical images based on mutual information assisted Monte Carlo. IGARSS 2012: 1813-1816 - 2011
- [c8]M. Saquib Sarfraz, Muhammad Haris Khan:
A Probabilistic Framework for Patch based Vehicle Type Recognition. VISAPP 2011: 358-363 - [c7]Muhammad Fraz, M. Saquib Sarfraz:
Text Detection in Still Images and CCTV Videos using Local Energy based Shape Histogram Features (LESH). VISAPP 2011: 433-436 - [c6]Azeem Shahzad, Muhammad Fraz, Muhammad Adnan Elahi, M. Saquib Sarfraz:
Real Time Localization, Tracking and Recognition of Vehicle License Plate. VISAPP 2011: 685-688 - 2010
- [j1]M. Saquib Sarfraz, Olaf Hellwich:
Probabilistic learning for fully automatic face recognition across pose. Image Vis. Comput. 28(5): 744-753 (2010)
2000 – 2009
- 2009
- [c5]Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd Radig, M. Saquib Sarfraz:
Multi-feature fusion in advanced robotics applications. FIT 2009: 33:1-33:6 - [c4]M. Saquib Sarfraz, Ahmed Saeed, Muhammad Haris Khan, Zahid Riaz:
Bayesian prior models for vehicle make and model recognition. FIT 2009: 35:1-35:6 - 2008
- [b1]Muhammad Saquib Sarfraz:
Towards automatic face recognition in unconstrained ccenarios. Berlin Institute of Technology, 2008 - [c3]M. Saquib Sarfraz, Olaf Hellwich:
Statistical appearance models for automatic pose invariant face recognition. FG 2008: 1-6 - [c2]M. Saquib Sarfraz, Olaf Hellwich:
On Head Pose Estimation in Face Recognition. VISIGRAPP (Selected Papers) 2008: 162-175 - [c1]M. Saquib Sarfraz, Olaf Hellwich:
Head Pose Estimation in Face Recognition Across Pose Scenarios. VISAPP (1) 2008: 235-242
Coauthor Index
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last updated on 2024-04-25 02:13 CEST by the dblp team
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