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Forschungsgebiete

• Deep Learning
• Computer Vision
• Face Recognition

Publikationen

  • Teepe, Torben; Gilg, Johannes; Herzog, Fabian; Hörmann, Stefan; Rigoll, Gerhard: Towards a Deeper Understanding of Skeleton-Based Gait Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022 mehr… Volltext (mediaTUM)
  • Hörmann, Stefan; Bhowmick, Arka; Weiher, Michael; Leiss, Karl; Rigoll, Gerhard: Face Texture Generation And Identity-Preserving Rectification. 2021 IEEE International Conference on Image Processing (ICIP), IEEE, 2021, 2448-2452 mehr… Volltext ( DOI )
  • Teepe, Torben; Khan, Ali; Gilg, Johannes; Herzog, Fabian; Hörmann, Stefan; Rigoll, Gerhard: Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition. 2021 IEEE International Conference on Image Processing (ICIP), IEEE, 2021, 2314-2318 mehr… Volltext ( DOI )
  • Herzog, Fabian; Ji, Xunbo; Teepe, Torben; Hörmann, Stefan; Gilg, Johannes; Rigoll, Gerhard: Lightweight Multi-Branch Network For Person Re-Identification. 2021 IEEE International Conference on Image Processing (ICIP), IEEE, 2021, 1129-1133 mehr… Volltext ( DOI )
  • Hörmann, Stefan; Xia, Zhibing; Knoche, Martin; Rigoll, Gerhard: A Coarse-to-Fine Dual Attention Network for Blind Face Completion. 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), 2021 mehr… Volltext ( DOI ) Volltext (mediaTUM)
  • Knoche, Martin; Hörmann, Stefan; Rigoll, Gerhard: Cross-Quality LFW: A Database for Analyzing Cross- Resolution Image Face Recognition in Unconstrained Environments. 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), 2021 mehr… Volltext ( DOI ) Volltext (mediaTUM)
  • Hörmann, Stefan; Cao, Zhenxiang; Knoche, Martin; Herzog, Fabian; Rigoll, Gerhard: Face Aggregation Network For Video Face Recognition. 2021 IEEE International Conference on Image Processing (ICIP), IEEE, 2021, 2973-2977 mehr… Volltext ( DOI ) Volltext (mediaTUM)
  • Hörmann, Stefan; Zhang, Zeyuan; Knoche, Martin; Teepe, Torben; Rigoll, Gerhard: Attention-Based Partial Face Recognition. 2021 IEEE International Conference on Image Processing (ICIP), IEEE, 2021, 2978-2982 mehr… Volltext ( DOI ) Volltext (mediaTUM)
  • Hörmann, S.; Knoche, M.; Rigoll, G.: A Multi-Task Comparator Framework for Kinship Verification. 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) , 2020, pp. 863-867 mehr…
  • Hörmann, S.; Moiz, A.; Knoche, M.; Rigoll, G.: Attention Fusion for Audio-Visual Person Verification Using Multi-Scale Features. 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020, pp. 281-285 mehr…
  • Hörmann, S.; Knoche, M.; Babaee, Ma.; Köpüklü, O.; Rigoll, G.: Outlier-Robust Neural Aggregation Network for Video Face Identification. Proc. International Conference on Image Processing (ICIP 2019), 2019, pp. 1675-1679 mehr… Volltext ( DOI )
  • Babaee, Ma.; Zhu, Y.; Köpüklü, O.; Hörmann, S.; Rigoll, G.: Gait Energy Image Restoration Using Generative Adversarial Networks. Proc. International Conference on Image Processing (ICIP 2019), 2019, pp. 2596-2600 mehr… Volltext ( DOI )
  • Köpüklü, O.; Babaee, Ma.; Hörmann, S.; Rigoll, G.: Convolutional Neural Networks with Layer Reuse. Proc. 26th IEEE International Conference on Image Processing (ICIP 2019), 2019, pp. 345-349 mehr… Volltext ( DOI ) Volltext (mediaTUM)
  • Hörmann, S.; Comulada Simpson, E.; Bahram, M.: A generic Steering Wheel Torque Model using Neural Networks. Proc. Driving Simulation Conference, 2017, 2017, pp. 43-50 mehr…

Gutachtertätigkeiten

• FG (2021)
• WACV (2020) 
• BMVC (2020)
• EURASIP JIVP (2018)

Projekte

Datengetriebene Wertschöpfung von Multimedia Content
Projektpartner: ProSiebenSat.1 Media SE, munich media intelligence
Projektzeitraum: 01.04.2017 - 30.09.2018

Lehre

Signaltheorie (WS 2021, WS 2020, WS 2019)
Digital Signal Processing (TUMAsia) (WS 2021)
• Signal Represenation (TUMAsia) (WS 2020, WS 2019)
Ferienkurs: Signaltheorie Übung für Wiederholer (SS 2021, SS 2020, SS 2019, SS 2018)
• Signaldarstellung für MSE (WS 2018)
• Signaldarstellung (WS 2018, WS 2017)

Studentische Arbeiten

Abgeschlossen

2022
• Partial Face Recognition with  Convolutional Block Attention Module (Research Internship)
• Vaccinate your images against deepfakes : Leveraging adversarial attacks to fight image-based abuse (Master's Thesis)
• Robustness Study of Face Recognition Systems Subjected to Face Morphing Attacks (Master's Thesis)

2021
• Graph Convolutional Networks for Frustration Recognition of Drivers (Master's Thesis)
• Deep Aggregation Network for Set-Based Face Recognition (Master's Thesis)
• Multicamera landmark-based 3D Ear Localization (Master's Thesis)
• Blind Face Completion and Recognition Using Generative Adversarial Networks (Master's Thesis)
• Face Morphing with Generative Adversarial Network (Research Internship)

2020
• Generation of Thorax CT Images using a Generative Adversarial Neural Network  (Master's Thesis)
• Attention-based Partial Face Recognition (Master's Thesis)
• Analysis of Face Attribute Information within Face Identity Features (Research Internship – MSE)
• Automotive Powertrain Health Prediction based on Diagnostic Trouble Code (Master's Thesis)
• Conditional Face Image Generation and Its Application in 3d Pedestrian Modelling (Master's Thesis)
• Different Effects of Quantization Methods on Convolutional Neural Networks (Research Internship)
• Efficient Multi-Currency Banknotes Classification Using Binarized Neural Networks (Bachelor's Thesis)
• An Image Aggregation Network for Video Face Recognition (Master's Thesis)
• Influence of Data Augmentation and Pose Variations on Face Recognition (Research Internship)

2019
• Evaluation of Different Face Alignment Strategies for Face Identification (Research Internship)
• Dynamic Feature Learning for Partial Face Recognition (Scientific Seminar)
• A Survey on Set-Based Face Recognition (Research Internship)
• Attention Based Fusion Using Feature Aggregation for Audio-Visual Person Verification (Master's Thesis)
• Enhanced Driver Gaze Classification using Video Data together with Car Bus Signals (Master's Thesis)
• Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks (Scientific Seminar)
• Multicolumn Networks for Face Recognition (Scientific Seminar)
• Semi-automatic dataset labeling using pretrained neural networks (Research Internship)
• Facial Emotion Recognition for Automotive Applications using RGB-D Information (Master's Thesis)
• Gesichtsbasierte Schauspielererkennung in Filmen (Bachelor's Thesis)
• Comparison of different GANs for Face Recognition (Research Internship)
• Performance Evaluation of GANs for Face Recognition Tasks against Image Degradations (Master's Thesis)

2018
• Exploring Disentangled Feature Representation Beyond Face Identification (Scientific Seminar)
• Seeing Voices and Hearing Faces: Cross-modal biometric matching (Scientific Seminar)
• Facelet-Bank for Fast Portrait Manipulation (Scientific Seminar)
• Joint Identification and Outlier Detection of Face Clusters Using an Aggregation Network (Master's Thesis)
• Region-based face detection with a fully-convolutional neural network (Master's Thesis)
• Disentangled Representation Learning GAN for Pose-Invariant Face Recognition (Scientific Seminar)
• Class Rectification Hard Mining for Imbalanced Deep Learning (Scientific Seminar)

2017
• Detecting Masked Faces in the Wild with LLE-CNNs (Scientific Seminar)
• Finding Tiny Faces (Scientific Seminar)