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Fabian Herzog

PhD Candidate
Technical University of Munich
fabian.herzog (at) tum.de


About Me

I’m a PhD candidate at the Institute of Human-Machine Communication of the Technical University of Munich under supervision of Prof. Dr.-Ing. Gerhard Rigoll. My research is in computer vision and pattern recognition for image and video processing. In particular, I focus on multiple-view multiple-object tracking.

Prior to joining TU Munich, I did my master’s in applied computer science in Göttingen with a focus on scientific computing.

Publications

  1. arXiv
    Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking
    Fabian Herzog, Johannes Gilg, Philipp Wolters, Torben Teepe, Gerhard Rigoll
    arXiv preprint, 2024.
    PDF Code

  2. CVPRW
    Lifting Multi-View Detection and Tracking to the Bird's Eye View
    Torben Teepe, Philipp Wolters, Johannes Gilg, Fabian Herzog, Gerhard Rigoll
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024.
    PDF Code

  3. arXiv
    Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception
    Philipp Wolters, Johannes Gilg, Torben Teepe, Fabian Herzog, Anouar Laouichi, Martin Hofmann, Gerhard Rigoll
    arXiv preprint, 2024.
    PDF Code

  4. WACVW
    EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View
    Torben Teepe, Philipp Wolters, Johannes Gilg, Fabian Herzog, Gerhard Rigoll
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2024.
    PDF Code

  5. ICIP
    Introducing A Framework for Single-Human Tracking Using Event-Based Cameras
    Dominik Eisl, Fabian Herzog, Jean-Luc Dugelay, Ludovic Apvrille, Gerhard Rigoll
    IEEE International Conference on Image Processing (ICIP), 2023.
    PDF

  6. WACV
    Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration
    Johannes Gilg, Torben Teepe, Fabian Herzog, Philipp Wolters, Gerhard Rigoll
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
    PDF Code

  7. WACVW
    Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities
    Fabian Herzog, Junpeng Chen, Torben Teepe, Johannes Gilg, Stefan Hörmann, Gerhard Rigoll
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2023.
    PDF Code

  8. WACV
    The Box Size Confidence Bias Harms Your Object Detector
    Johannes Gilg, Torben Teepe, Fabian Herzog, Gerhard Rigoll
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
    PDF Code

  9. arXiv
    Face Morphing: Fooling a Face Recognition System Is Simple!
    Stefan Hörmann, Tianlin Kong, Torben Teepe, Fabian Herzog, Martin Knoche, Gerhard Rigoll
    arXiv preprint, 2022.
    PDF

  10. CVPRW
    Towards a Deeper Understanding of Skeleton-based Gait Recognition
    Torben Teepe, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022.
    PDF Code

  11. CVIU
    Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
    Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll
    Computer Vision and Image Understanding, 2022.
    PDF Code

  12. ICIP
    Face Aggregation Network for Video Face Recognition
    Stefan Hörmann, Zhenxiang Cao, Martin Knoche, Fabian Herzog, Gerhard Rigoll
    IEEE International Conference on Image Processing (ICIP), 2021.
    PDF

  13. ICIP
    GaitGraph: Graph Convolutional Network for Skeleton-based Gait Recognition
    Torben Teepe, Ali Khan, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll
    IEEE International Conference on Image Processing (ICIP), 2021.
    PDF Code

  14. ICIP
    Lightweight Multi-Branch Network for Person Re-Identification
    Fabian Herzog, Xunbo Ji, Torben Teepe, Stefan Hörmann, Johannes Gilg, Gerhard Rigoll
    IEEE International Conference on Image Processing (ICIP), 2021.
    PDF Code

  15. ICPR
    Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos
    Okan Köpüklü, Fabian Herzog, Gerhard Rigoll
    ICPR International Workshops and Challenges (ICPR), 2021.
    PDF Code

Teaching Assistance

Note: As I have left TUM, I can no longer supervise Bachelor’s or Master’s theses.

Services

Conference and Journal Reviews:


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