Fabian Herzog | Technical University of Munich

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

arXiv

SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection

Philipp Wolters, Johannes Gilg, Torben Teepe, Fabian Herzog, Felix Fent, Gerhard Rigoll

arXiv preprint, 2024.

PDF Code

arXiv

Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking

Fabian Herzog, Johannes Gilg, Philipp Wolters, Torben Teepe, Gerhard Rigoll

arXiv preprint, 2024.

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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

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

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.

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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.

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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.

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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.

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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.

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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.

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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

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.

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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.

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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.

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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.

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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

Signal Processing and Pattern Recognition (Summers 22 & 23)
Musical Acoustics (Summers 22 & 23)
Human-Machine Communication II (Summers 19 - 23)
Practical: Audio and Image Processing (Winter 19/20)
Practical: Systems and Circuits (Winter 19/20)

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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