Fusion von Bildserien in der automatischen Sichtprüfung. - Michael Heizmann (GI Jahrestagung (2), 2005)

Fusion of Combined Stereo and Focus Series for Depth Estimation. - Ioana Gheta; Christian Frese; Michael Heizmann (GI Jahrestagung (1), 2006)

Sampling the parameter domain of image series. - Michael Heizmann; Jürgen Beyerer (Image Processing: Algorithms and Systems, 2006)

Techniques for the segmentation of striation patterns. - Michael Heizmann (IEEE Trans. Image Process., 2006)

A New Approach for Estimating Depth by Fusing Stereo and Defocus Information. - Ioana Gheta; Christian Frese; Michael Heizmann; Jürgen Beyerer (GI Jahrestagung (1), 2007)

Bayesian fusion of multivariate image to obtain depth information. - Ioana Gheta; Michael Heizmann; Jürgen Beyerer (FUSION, 2008)

World Modeling for Autonomous Systems. - Ioana Gheta; Michael Heizmann; Andrey Belkin; Jürgen Beyerer (KI, 2010)

Visual Servoing. - Jürgen Beyerer; Michael Heizmann; Helge-Björn Kuntze (Autom., 2012)

Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen. - Christian Kühnert; Lutz Gröll; Michael Heizmann; Markus Reischl; Ralf Mikut (Autom., 2012)

Inspection of specular surfaces using optimized M-channel wavelets. - Tan-Toan Le; Mathias Ziebarth; Thomas Greiner; Michael Heizmann (ICASSP, 2013)

Defect Classification on Specular Surfaces Using Wavelets. - Andreas Hahn; Mathias Ziebarth; Michael Heizmann; Andreas Rieder (SSVM, 2013)

Optimized size-adaptive feature extraction based on content-matched rational wavelet filters. - Tan-Toan Le; Mathias Ziebarth; Thomas Greiner; Michael Heizmann (EUSIPCO, 2014)

Systematic design of object shape matched wavelet filter banks for defect detection. - Tan-Toan Le; Mathias Ziebarth; Thomas Greiner; Michael Heizmann (TSP, 2016)

An extended architecture to optimize execution time of 3D image processing deflectometry algorithm using FPGA. - Faraz Bhatti; Thomas Greiner; Michael Heizmann; Mathias Ziebarth (ICSIPA, 2017)

A new FPGA based architecture to improve performance of deflectometry image processing algorithm. - Faraz Bhatti; Thomas Greiner; Michael Heizmann; Mathias Ziebarth (TSP, 2017)

Machine vision in automation technology. - Jürgen Beyerer; Michael Heizmann; Thomas Längle (Autom., 2017)

Gradient Based Evolution to Optimize the Structure of Convolutional Neural Networks. - Norbert Mitschke; Michael Heizmann; Klaus-Henning Noffz; Ralf Wittmann (ICIP, 2018)

Hybrid modeling approaches with a view to model output prediction for industrial applications. - Christoph Bergs; Michael Heizmann; Harald Held (INDIN, 2018)

Scene-Adaptive Optimization Scheme for Depth Sensor Networks. - Johannes Wetzel; Samuel Zeitvogel; Astrid Laubenheimer; Michael Heizmann (CERC, 2019)

A Fixed-Point Quantization Technique for Convolutional Neural Networks Based on Weight Scaling. - Norbert Mitschke; Michael Heizmann; Klaus-Henning Noffz; Ralf Wittmann (ICIP, 2019)

Novel method for online wear estimation of centrifugal pumps using multi-fidelity modeling. - Christoph Bergs; Michael Heizmann; Dirk Hartmann; Gilberto Lem Carillo (ICPS, 2019)

Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach. - Marcel Hildebrandt; Mohamed Khalil; Christoph Bergs; Volker Tresp; Roland Wüchner; Kai-Uwe Bletzinger; Michael Heizmann (INDIN, 2019)

IIoT-based Fatigue Life Indication using Augmented Reality. - Mohamed Khalil; Christoph Bergs; Theodoros Papadopoulos; Roland Wüchner; Kai-Uwe Bletzinger; Michael Heizmann (INDIN, 2019)

Kombination unterschiedlicher Modellierungsansätze für die betriebsbegleitende Simulation industrieller Prozesse. - Christoph Bergs; Michael Heizmann (Autom., 2019)

A Calibration Method for the Generalized Imaging Model with Uncertain Calibration Target Coordinates. - David Uhlig; Michael Heizmann (ACCV (3), 2020)

UCSR: Registration and Fusion of Cross-Source 2D and 3D Sensor Data in Unstructured Environments. - Nina Felicitas Heide; Philipp Woock; Maximilian Sauer; Timo Leitritz; Michael Heizmann (FUSION, 2020)

Temporal Smoothing for Joint Probabilistic People Detection in a Depth Sensor Network. - Johannes Wetzel; Astrid Laubenheimer; Michael Heizmann (MFI, 2020)

A Multispectral Light Field Dataset and Framework for Light Field Deep Learning. - Maximilian Schambach; Michael Heizmann (IEEE Access, 2020)

Joint Probabilistic People Detection in Overlapping Depth Images. - Johannes Wetzel; Astrid Laubenheimer; Michael Heizmann (IEEE Access, 2020)

Artificial intelligence with neural networks in optical measurement and inspection systems. - Michael Heizmann; Alexander Braun; Markus Hüttel; Christina Klüver; Erik Marquardt; Michael Overdick; Markus Ulrich (Autom., 2020)

Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning. - Maximilian Schambach; Jiayang Shi; Michael Heizmann (3DV, 2021)

2.5D-VoteNet: Depth Map based 3D Object Detection for Real-Time Applications. - Lanxiao Li; Michael Heizmann (BMVC, 2021)

Image-Based Visual Servoing of Rotationally Invariant Objects Using a U-Net Prediction. - Norbert Mitschke; Michael Heizmann (ICARA, 2021)

X3SEG: Model-Agnostic Explanations For The Semantic Segmentation Of 3D Point Clouds With Prototypes And Criticism. - Nina Felicitas Heide; Erik Müller; Janko Petereit; Michael Heizmann (ICIP, 2021)

Task Specific Image Enhancement for Improving the Accuracy of CNNs. - Norbert Mitschke; Yunou Ji; Michael Heizmann (ICPRAM, 2021)

Radar Odometry on $SE(3)$ With Constant Velocity Motion Prior. - Kyle Retan; Frasher Loshaj; Michael Heizmann (IEEE Robotics Autom. Lett., 2021)

An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection. - Moritz Beck 003; Georg Maier; Merle Flitter; Robin Gruna; Thomas Längle; Michael Heizmann; Jürgen Beyerer (Sensors, 2021)

A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision. - Lanxiao Li; Michael Heizmann (ECCV (30), 2022)

Estimation of Music Recording Quality to Predict Automatic Music Transcription Performance. - Markus Schwabe; Thorsten Hoffmann; Sebastian Murgul; Michael Heizmann (ICSM, 2022)

Transferability of Convolutional Autoencoder Model For Lossy Compression to Unknown Hyperspectral Prisma Data. - Jannick Kuester; Wolfgang Gross; Simon Schreiner; Michael Heizmann; Wolfgang Middelmann (WHISPERS, 2022)

A Probabilistic Approach for Spatio-Temporal Phase Unwrapping in Multi-Frequency Phase-Shift Coding. - David Uhlig; Michael Heizmann (IEEE Access, 2022)

Intersection Complexity and Its Influence on Human Drivers. - Hannes Weinreuter; Nadine-Rebecca Strelau; Kevin Qiu; Yancheng Jiang; Barbara Deml; Michael Heizmann (IEEE Access, 2022)

Erfassung und Interpretation menschlicher Handlungen für die Programmierung von Robotern in der Produktion. - Christian R. G. Dreher; Manuel Zaremski; Fabian Leven; David Schneider 006; Alina Roitberg; Rainer Stiefelhagen; Michael Heizmann; Barbara Deml; Tamim Asfour (Autom., 2022)

Implementing machine learning: chances and challenges. - Michael Heizmann; Alexander Braun; Markus Glitzner; Matthias Günther; Günther Hasna; Christina Klüver; Jakob Krooß; Erik Marquardt; Michael Overdick; Markus Ulrich (Autom., 2022)

Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage. - Gisela Lanza; Tamim Asfour; Jürgen Beyerer; Barbara Deml; Jürgen Fleischer; Michael Heizmann; Kai Furmans; Constantin Hofmann; Alexander Cebulla; Christian R. G. Dreher; Jan-Philipp Kaiser; Jan-Felix Klein; et al. (Autom., 2022)

Integrierte Steuerungsarchitektur für ein agiles Demontagesystem mit autonomer Produktbefundung. - Marco Wurster; Jan-Felix Klein; Jan-Philipp Kaiser; Simon Mangold; Kai Furmans; Michael Heizmann; Jürgen Fleischer; Gisela Lanza (Autom., 2022)

Radar Odometry on SE(3) with Constant Acceleration Motion Prior and Polar Measurement Model. - Kyle Retan; Frasher Loshaj; Michael Heizmann (CoRR, 2022)

Analysis of AI-Based Single-View 3D Reconstruction Methods for an Industrial Application. - Julia Hartung; Patricia M. Dold; Andreas Jahn 001; Michael Heizmann (Sensors, 2022)

A Multispectral Light Field Dataset for Light Field Deep Learning. - Maximilian Schambach; Michael Heizmann (IEEE DataPort, 2022)

Convolutional Autoencoder Model for Hyperspectral Multi-Sensor Satellite Data Compression. - Jannick Kuester; Wolfgang Groß; Simon Schreiner; Wolfgang Middelmann; Michael Heizmann (IGARSS, 2023)

Improved Separation of Polyphonic Chamber Music Signals by Integrating Instrument Activity Labels. - Markus Schwabe; Michael Heizmann (IEEE Access, 2023)

MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors. - Chengzhi Wu; Kanran Zhou; Jan-Philipp Kaiser; Norbert Mitschke; Jan-Felix Klein; Julius Pfrommer; Jürgen Beyerer; Gisela Lanza; Michael Heizmann; Kai Furmans (CoRR, 2023)

Applying Plain Transformers to Real-World Point Clouds. - Lanxiao Li; Michael Heizmann (CoRR, 2023)

Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences. - Ahmed J. Afifi; Samuel T. Thiele; Sandra Lorenz; Pedram Ghamisi; Raimon Tolosana-Delgado; Moritz Kirsch; Richard Gloaguen; Michael Heizmann (CoRR, 2023)

Randomized 3D Scene Generation for Generalizable Self-supervised Pre-training. - Lanxiao Li; Michael Heizmann (CoRR, 2023)

Modelling of Networked Measuring Systems - From White-Box Models to Data Based Approaches. - Klaus-Dieter Sommer; Peter Harris; Sascha Eichstädt; Roland Füssl; Tanja Dorst; Andreas Schütze; Michael Heizmann; Nadine Schiering; Andreas Maier 001; Yuhui Luo; Christos Tachtatzis; Ivan Andonovic; et al. (CoRR, 2023)

Adaptive Two-Stage Multisensor Convolutional Autoencoder Model for Lossy Compression of Hyperspectral Data. - Jannick Kuester; Wolfgang Gross; Simon Schreiner; Wolfgang Middelmann; Michael Heizmann (IEEE Trans. Geosci. Remote. Sens., 2023)

Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences. - Ahmed J. Afifi; Samuel Thomas Thiele; Aldino Rizaldy; Sandra Lorenz; Moritz Kirsch; Pedram Ghamisi; Raimon Tolosana-Delgado; Richard Gloaguen; Michael Heizmann (RODARE, 2023)

Verhaltensentscheidungen für das automatische Fahren an innerstädtischen T-Kreuzungen mittels ereignisdiskreter Systeme. - Hannes Weinreuter; Nadine-Rebecca Strelau; Barbara Deml; Michael Heizmann (Autom., 2023)

Leveraging Thermal Imaging for Robust Human Pose Estimation in Low-Light Vision. - Mickael Cormier; Caleb Ng Zhi Yi; Andreas Specker; Benjamin Blaß; Michael Heizmann; Jürgen Beyerer (ACCV Workshops (1), 2024)

3D-Hybrid Convolutional Autoencoder Model for Hyperspectral Satellite Data Compression. - Jannick Kuester; Wolfgang Gross; Andreas Michel; Simon Schreiner; Wolfgang Middelmann; Michael Heizmann (IGARSS, 2024)

Multi-Sensor Multi-Stream Data Fusion Using Deep Learning for Hyperspectral Point Cloud Segmentation. - Ahmed Jamal Afifi; Aldino Rizaldy; Elias Arbash; Sandra Lorenz; Richard Gloaguen; Michael Heizmann (WHISPERS, 2024)

Effects of a Multi-Sensor Convolutional Autoencoder Model for Lossy Hyperspectral Data Compression on Surveillance Target Detection. - Jannick Kuester; Andreas Michel; Simon Schreiner; Wolfgang Middelmann; Wolfgang Gross; Michael Heizmann (WHISPERS, 2024)

Modelling of measuring systems - From white box models to cognitive approaches. - Nadine Schiering; Sascha Eichstädt; Michael Heizmann; Wolfgang Koch; Linda-Sophie Schneider; Stephan Scheele; Klaus-Dieter Sommer (CoRR, 2024)

Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences. - Ahmed J. Afifi; Samuel T. Thiele; Aldino Rizaldy; Sandra Lorenz; Pedram Ghamisi; Raimon Tolosana-Delgado; Moritz Kirsch; Richard Gloaguen; Michael Heizmann (IEEE Trans. Geosci. Remote. Sens., 2024)

Managing uncertainty in product and process design for the circular factory. - Michael Heizmann; Jürgen Beyerer; Stefan Dietrich; Luisa Hoffmann; Jan-Philipp Kaiser; Gisela Lanza; Alina Roitberg; Rainer Stiefelhagen; Nicole Stricker; Helena Wexel; Frederik Zanger (Autom., 2024)

The role of an ontology-based knowledge backbone in a circular factory. - Constantin Hofmann; Steffen Staab; Michael Selzer; Gerhard Neumann; Kai Furmans; Michael Heizmann; Jürgen Beyerer; Gisela Lanza; Julius Pfrommer; Tobias Düser; Jan-Felix Klein (Autom., 2024)

Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory. - Manuel Zaremski; Blanca Handwerker; Christian R. G. Dreher; Fabian Leven; David Schneider 006; Alina Roitberg; Rainer Stiefelhagen; Gerhard Neumann; Michael Heizmann; Tamim Asfour; Barbara Deml (Autom., 2024)

6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly. - Chengzhi Wu; Hao Fu; Jan-Philipp Kaiser; Erik Tabuchi Barczak; Julius Pfrommer; Gisela Lanza; Michael Heizmann; Jürgen Beyerer (CoRR, 2025)

Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription. - Anna Hamberger; Sebastian Murgul; Jochen Schmidt; Michael Heizmann (CoRR, 2025)

Fine-Tuning MIDI-to-Audio Alignment using a Neural Network on Piano Roll and CQT Representations. - Sebastian Murgul; Moritz Reiser; Michael Heizmann; Christoph Seibert (CoRR, 2025)

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture. - Sebastian Murgul; Michael Heizmann (CoRR, 2025)

Joint Transcription of Acoustic Guitar Strumming Directions and Chords. - Sebastian Murgul; Johannes Schimper; Michael Heizmann (CoRR, 2025)

Exploring Procedural Data Generation for Automatic Acoustic Guitar Fingerpicking Transcription. - Sebastian Murgul; Michael Heizmann (CoRR, 2025)