Michael Heizmann

Orcid: 0000-0001-9339-2055

According to our database1, Michael Heizmann authored at least 64 papers between 2005 and 2024.

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Bibliography

2024
Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory.
Autom., September, 2024

The role of an ontology-based knowledge backbone in a circular factory.
Autom., September, 2024

Managing uncertainty in product and process design for the circular factory.
Autom., September, 2024

Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences.
IEEE Trans. Geosci. Remote. Sens., 2024

Modelling of measuring systems - From white box models to cognitive approaches.
CoRR, 2024

3D-Hybrid Convolutional Autoencoder Model for Hyperspectral Satellite Data Compression.
Proceedings of the IGARSS 2024, 2024

2023
Verhaltensentscheidungen für das automatische Fahren an innerstädtischen T-Kreuzungen mittels ereignisdiskreter Systeme.
Autom., April, 2023

Adaptive Two-Stage Multisensor Convolutional Autoencoder Model for Lossy Compression of Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2023

Modelling of Networked Measuring Systems - From White-Box Models to Data Based Approaches.
CoRR, 2023

Randomized 3D Scene Generation for Generalizable Self-supervised Pre-training.
CoRR, 2023

Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences.
CoRR, 2023

Applying Plain Transformers to Real-World Point Clouds.
CoRR, 2023

MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors.
CoRR, 2023

Improved Separation of Polyphonic Chamber Music Signals by Integrating Instrument Activity Labels.
IEEE Access, 2023

Convolutional Autoencoder Model for Hyperspectral Multi-Sensor Satellite Data Compression.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
A Multispectral Light Field Dataset for Light Field Deep Learning.
Dataset, May, 2022

Analysis of AI-Based Single-View 3D Reconstruction Methods for an Industrial Application.
Sensors, 2022

Radar Odometry on SE(3) with Constant Acceleration Motion Prior and Polar Measurement Model.
CoRR, 2022

Integrierte Steuerungsarchitektur für ein agiles Demontagesystem mit autonomer Produktbefundung.
Autom., 2022

Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage.
Autom., 2022

Implementing machine learning: chances and challenges.
Autom., 2022

Erfassung und Interpretation menschlicher Handlungen für die Programmierung von Robotern in der Produktion.
Autom., 2022

Intersection Complexity and Its Influence on Human Drivers.
IEEE Access, 2022

A Probabilistic Approach for Spatio-Temporal Phase Unwrapping in Multi-Frequency Phase-Shift Coding.
IEEE Access, 2022

Transferability of Convolutional Autoencoder Model For Lossy Compression to Unknown Hyperspectral Prisma Data.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Estimation of Music Recording Quality to Predict Automatic Music Transcription Performance.
Proceedings of the Smart Multimedia - Third International Conference, 2022

A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection.
Sensors, 2021

Radar Odometry on $SE(3)$ With Constant Velocity Motion Prior.
IEEE Robotics Autom. Lett., 2021

Task Specific Image Enhancement for Improving the Accuracy of CNNs.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

X<sup>3</sup>SEG: Model-Agnostic Explanations For The Semantic Segmentation Of 3D Point Clouds With Prototypes And Criticism.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Image-Based Visual Servoing of Rotationally Invariant Objects Using a U-Net Prediction.
Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021

2.5D-VoteNet: Depth Map based 3D Object Detection for Real-Time Applications.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning.
Proceedings of the International Conference on 3D Vision, 2021

2020
Artificial intelligence with neural networks in optical measurement and inspection systems.
Autom., 2020

Joint Probabilistic People Detection in Overlapping Depth Images.
IEEE Access, 2020

A Multispectral Light Field Dataset and Framework for Light Field Deep Learning.
IEEE Access, 2020

Temporal Smoothing for Joint Probabilistic People Detection in a Depth Sensor Network.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020

UCSR: Registration and Fusion of Cross-Source 2D and 3D Sensor Data in Unstructured Environments.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

A Calibration Method for the Generalized Imaging Model with Uncertain Calibration Target Coordinates.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Kombination unterschiedlicher Modellierungsansätze für die betriebsbegleitende Simulation industrieller Prozesse.
Autom., 2019

IIoT-based Fatigue Life Indication using Augmented Reality.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Novel method for online wear estimation of centrifugal pumps using multi-fidelity modeling.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

A Fixed-Point Quantization Technique for Convolutional Neural Networks Based on Weight Scaling.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Scene-Adaptive Optimization Scheme for Depth Sensor Networks.
Proceedings of the 5th Collaborative European Research Conference (CERC 2019), 2019

2018
Hybrid modeling approaches with a view to model output prediction for industrial applications.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Gradient Based Evolution to Optimize the Structure of Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Machine vision in automation technology.
Autom., 2017

A new FPGA based architecture to improve performance of deflectometry image processing algorithm.
Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017

An extended architecture to optimize execution time of 3D image processing deflectometry algorithm using FPGA.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017

2016
Systematic design of object shape matched wavelet filter banks for defect detection.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016

2014
Optimized size-adaptive feature extraction based on content-matched rational wavelet filters.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Defect Classification on Specular Surfaces Using Wavelets.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Inspection of specular surfaces using optimized M-channel wavelets.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen.
Autom., 2012

Visual Servoing.
Autom., 2012

2010
World Modeling for Autonomous Systems.
Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

2008
Bayesian fusion of multivariate image to obtain depth information.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
A New Approach for Estimating Depth by Fusing Stereo and Defocus Information.
Proceedings of the 37. Jahrestagung der Gesellschaft für Informatik, 2007

2006
Techniques for the segmentation of striation patterns.
IEEE Trans. Image Process., 2006

Sampling the parameter domain of image series.
Proceedings of the Image Processing: Algorithms and Systems IV, 2006

Fusion of Combined Stereo and Focus Series for Depth Estimation.
Proceedings of the 36. Jahrestagung der Gesellschaft für Informatik, 2006

2005
Fusion von Bildserien in der automatischen Sichtprüfung.
Proceedings of the 35. Jahrestagung der Gesellschaft für Informatik, 2005


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