M. Saquib Sarfraz

Computer Vision, Machine Learning, AI

I am an active researcher in the field of computer vision and machine learning. I recieved a PhD degree in computer vision from Technical University of Berlin, Germany in 2009. At present, I share my time both at Mercedes-Benz in the Autonomous Systems Unit as Principal Lead Deep Learning and at Karlsruhe Institue of Technology (KIT) as a Senior Scientist and Lecturer.. At Mercedes-Benz, my responsibilities include setting/innovate the strategic computer vision related projects for ADAS and smart factory. At the CV-HCI lab KIT, I am the team lead for the work in the direction of perception of people for HCI & surveillance related applications and also member of several related funded projects. Before moving to KIT I served as an assistant professor (From 2009 till 2012) at the Electrical Engineering department of COMSATS Institute of Technology in Lahore, Pakistan. There I founded and directed the Computer Vision Research Group.

Research Interests: Deep Learning, Image and Video Understanding

news/highlights

Oct 1, 2024 Two paper/s accepted at NeurIPS 2024 and one at ECCV 2024!
Jun 1, 2024 Outstanding Reviewer Award at CVPR 2024, 2023, 2020, 2021 and ICCV 2021 :1st_place_medal:
May 1, 2024 Position paper at ICML 2024 on Time Series Anomaly Detection !
Apr 17, 2024 Invited Talk at Cohere For AI on Clustering and Dimentionality Reduction Watch on Youtube
Jan 1, 2017 Press/Media coverage on Thermal to Visible Face Recognition for night-time surveillance

selected publications

  1. ICML
    Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
    Sarfraz, M Saquib, Chen, Mei-Yen, Layer, Lukas, Peng, Kunyu, and Koulakis, Marios
    In International Conference on Machine Learning 2024
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  2. CVPR
    Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction
    Sarfraz, M Saquib, Koulakis, Marios, Seibold, Constantin, and Stiefelhagen, Rainer
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
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  3. CVPR
    Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
    Sarfraz, M Saquib, Murray, Naila, Sharma, Vivek, Diba, Ali, Van Gool, Luc, and Stiefelhagen, Rainer
    In IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) 2021
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  4. CVPR
    Efficient parameter-free clustering using first neighbor relations
    Sarfraz, M Saquib, Sharma, Vivek, and Stiefelhagen, Rainer
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019
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  5. CVPR
    A pose-sensitive embedding for person re-identification with expanded cross neighborhood re-ranking
    Sarfraz, M Saquib, Schumann, Arne, Eberle, Andreas, and Stiefelhagen, Rainer
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
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