Foto von Martin Knoche

Martin Knoche, M.Sc.

Technische Universität München

Lehrstuhl für Mensch - Maschine - Kommunikation (Prof. Hemmert komm.)

Postadresse

Postal:
Arcisstr. 21
80333 München

Forschungsgebiete

  • Deep Learning
  • Computer Vision
  • Face Recognition
  • Super-Resolution

Publikationen

  • Knoche, Martin; Rigoll, Gerhard: Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach. , 2023 mehr… Volltext ( DOI ) Volltext (mediaTUM)
  • Knoche, Martin; Teepe, Torben; Hörmann, Stefan; Rigoll, Gerhard: 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)
  • Knoche, Martin; Elkadeem, Mohamed; Hörmann, Stefan; Rigoll, Gerhard: 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)
  • Knoche, Martin; Elkadeem, Mohamed; Hörmann, Stefan; Rigoll, Gerhard: Octuplet Loss: Make Face Recognition Robust to Image Resolution. , 2022 mehr… Volltext ( DOI )
  • Hörmann, Stefan; Kong, Tianlin; Teepe, Torben; Herzog, Fabian; Knoche, Martin; Rigoll, Gerhard: Face Morphing: Fooling a Face Recognition System Is Simple! , 2022 mehr… Volltext ( DOI ) Volltext (mediaTUM)
  • Knoche, Martin; Hörmann, Stefan; Rigoll, Gerhard: 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)
  • 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 )
  • Heyn, H.-M.; Knoche, M.; Zhang, Q.; Skjetne, R.: 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 )
  • Knoche, M.; Merget, D.; Rigoll, G.: 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)

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

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)