- Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach. , 2023 mehr… Volltext ( DOI ) Volltext (mediaTUM)
- Explainable Model-Agnostic Similarity and Confidence in Face Verification. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2023 mehr… Volltext (mediaTUM)
- Octuplet Loss: Make Face Recognition Robust to Image Resolution. 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG), IEEE, 2023 mehr… Volltext ( DOI ) Volltext (mediaTUM)
- Octuplet Loss: Make Face Recognition Robust to Image Resolution. , 2022 mehr… Volltext ( DOI )
- Face Morphing: Fooling a Face Recognition System Is Simple! , 2022 mehr… Volltext ( DOI ) Volltext (mediaTUM)
- Susceptibility to Image Resolution in Face Recognition and Training Strategies to Enhance Robustness. Leibniz Transactions on Embedded Systems 8 (1), 2022, 01--1 mehr… Volltext ( DOI ) Volltext (mediaTUM)
- 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)
- 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)
- Face Aggregation Network For Video Face Recognition. 2021 IEEE International Conference on Image Processing (ICIP), IEEE, 2021, 2973-2977 mehr… Volltext ( DOI ) Volltext (mediaTUM)
- Attention-Based Partial Face Recognition. 2021 IEEE International Conference on Image Processing (ICIP), IEEE, 2021, 2978-2982 mehr… Volltext ( DOI ) Volltext (mediaTUM)
- 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…
- 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…
- Outlier-Robust Neural Aggregation Network for Video Face Identification. Proc. International Conference on Image Processing (ICIP 2019), 2019, pp. 1675-1679 mehr… Volltext ( DOI )
- A System for Automated Vision-Based Sea-Ice Concentration Detection and Floe-Size Distribution Indication From an Icebreaker. Proc. 36th International Conference on Ocean, Offshore and Arctic Engineering, ASME 2017, 2017, V008T07A012 mehr… Volltext ( DOI )
- Improving Facial Landmark Detection via a Super-Resolution Inception Network. 39th German Conference on Pattern Recognition, GCPR 2017, Springer Lecture Notes in Computer Science, 2017 mehr… Volltext (mediaTUM)
Martin Knoche, M.Sc.
Technische Universität München
Lehrstuhl für Mensch - Maschine - Kommunikation (Prof. Hemmert komm.)
Postadresse
Postal:
Arcisstr. 21
80333 München
- Tel.: +49 (89) 289 - 28548
- martin.knoche@tum.de
Forschungsgebiete
- Deep Learning
- Computer Vision
- Face Recognition
- Super-Resolution
Publikationen
Projekte
Datengetriebene Wertschöpfung von Multimedia Content
Projektpartner: ProSiebenSat.1 Media SE, munich media intelligence
Projektzeitraum: 01.03.2018 - 30.09.2018
Grundrechtskonforme Gesichtserkennung im öffentlichen Raum
Projektpartner: Uniscon GmbH, Tüv Süd Digital Services, AXIS GmbH
Projektzeitraum: 01.10.2018 - 31.12.2020
Lehre
- Signaltheorie (WS 2022, WS 2021, WS 2020, WS 2019)
- Ferienkurs: Signaltheorie Übung für Wiederholer (SS 2022, SS 2021, SS 2020, SS 2019)
- Mensch-Maschine-Kommunikation 1 (WS 2022)
Studentische Arbeiten
Bei Anfragen zu studentischen Arbeiten reichen Sie bitte folgende Unterlagen mit ein:
- Aktueller Lebenslauf
- Notenauszug
- Bisherige Erfahrungen aus dem Themengebiet
- Starttermin
Offen
Alle ausgeschriebenen Arbeiten finden Sie hier.
Abgeschlossen
2023
- Machine Learning-based CI Test Results Analysis (Master’s Thesis)
2022
- Human Performance on Cross-Resolution Face Verification (Bachelor´s Thesis)
- Image resolution impact on activation maps (Research Internship)
- Quintuplet Loss X-Resolution Face Recognition (Master’s Thesis)
2021
- Generating and Evaluating a Dataset for Realistic Cross-Resolution Face-Recognition (Bachelor´s Thesis)
- Single-Output-Neuron Cross-Resolution Face Verification (Master`s Thesis)
2020
- Comparison of SOTA Super-Resolution-Methods in the domain of Face Recognition (Research Internship)
- Implementation of "Visualization of Activations" in a state-of-the-art Face Recognition Network (Research Internship)
2019
- Enhanced Deep Residual Networks for Single Image Super-Resolution (Scientific Seminar)
- Single Image and Multi Image Super Resolution for Face Identification (Master´s Thesis)
- Attention Mechanisms in an Appearance Matching Network (Research Internship)
- Enhanced Deep Residual Networks for Single Image Super-Resolution (Scientific Seminar)
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (Scientific Seminar)
2018
- Repulsion Loss - Detecting Pedestriants in a Crowd (Scientific Seminar)
- Wide Compression - Tensor Ring Nets (Scientifc Seminar)