Michael Heizmann

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 48

Top Topics

Image Processing

Convolutional Neural Networks

Top Venues

Publications

Ahmed J. Afifi, Samuel T. Thiele, Aldino Rizaldy, Sandra Lorenz, Pedram Ghamisi, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen, Michael Heizmann
Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Hannes Weinreuter, Nadine-Rebecca Strelau, Barbara Deml, Michael Heizmann
Verhaltensentscheidungen für das automatische Fahren an innerstädtischen T-Kreuzungen mittels ereignisdiskreter Systeme. Autom. 71 (4) (2023)
Jannick Kuester, Wolfgang Groß, Simon Schreiner, Wolfgang Middelmann, Michael Heizmann
Convolutional Autoencoder Model for Hyperspectral Multi-Sensor Satellite Data Compression. IGARSS (2023)
Klaus-Dieter Sommer, Peter Harris, Sascha Eichstädt, Roland Füssl, Tanja Dorst, Andreas Schütze, Michael Heizmann, Nadine Schiering, Andreas Maier, Yuhui Luo, Christos Tachtatzis, Ivan Andonovic, Gordon Gourlay
Modelling of Networked Measuring Systems - From White-Box Models to Data Based Approaches. CoRR (2023)
Lanxiao Li, Michael Heizmann
Applying Plain Transformers to Real-World Point Clouds. CoRR (2023)
Jannick Kuester, Wolfgang Gross, Simon Schreiner, Wolfgang Middelmann, Michael Heizmann
Adaptive Two-Stage Multisensor Convolutional Autoencoder Model for Lossy Compression of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Markus Schwabe, Michael Heizmann
Improved Separation of Polyphonic Chamber Music Signals by Integrating Instrument Activity Labels. IEEE Access 11 (2023)
Ahmed J. Afifi, Samuel T. Thiele, Sandra Lorenz, Pedram Ghamisi, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen, Michael Heizmann
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences. CoRR (2023)
Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser, Norbert Mitschke, Jan-Felix Klein, Julius Pfrommer, Jürgen Beyerer, Gisela Lanza, Michael Heizmann, Kai Furmans
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors. CoRR (2023)
Lanxiao Li, Michael Heizmann
Randomized 3D Scene Generation for Generalizable Self-supervised Pre-training. CoRR (2023)
Hannes Weinreuter, Nadine-Rebecca Strelau, Kevin Qiu, Yancheng Jiang, Barbara Deml, Michael Heizmann
Intersection Complexity and Its Influence on Human Drivers. IEEE Access 10 (2022)
Lanxiao Li, Michael Heizmann
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision. ECCV (30) (2022)
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, Fabian Leven, Simon Mangold, Norbert Mitschke, Nicole Stricker, Julius Pfrommer, Chengzhi Wu, Marco Wurster, Manuel Zaremski
Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage. Autom. 70 (6) (2022)
Julia Hartung, Patricia M. Dold, Andreas Jahn, Michael Heizmann
Analysis of AI-Based Single-View 3D Reconstruction Methods for an Industrial Application. Sensors 22 (17) (2022)
David Uhlig, Michael Heizmann
A Probabilistic Approach for Spatio-Temporal Phase Unwrapping in Multi-Frequency Phase-Shift Coding. IEEE Access 10 (2022)
Jannick Kuester, Wolfgang Gross, Simon Schreiner, Michael Heizmann, Wolfgang Middelmann
Transferability of Convolutional Autoencoder Model For Lossy Compression to Unknown Hyperspectral Prisma Data. WHISPERS (2022)
Kyle Retan, Frasher Loshaj, Michael Heizmann
Radar Odometry on SE(3) with Constant Acceleration Motion Prior and Polar Measurement Model. CoRR (2022)
Christian R. G. Dreher, Manuel Zaremski, Fabian Leven, David Schneider, Alina Roitberg, Rainer Stiefelhagen, Michael Heizmann, Barbara Deml, Tamim Asfour
Erfassung und Interpretation menschlicher Handlungen für die Programmierung von Robotern in der Produktion. Autom. 70 (6) (2022)
Markus Schwabe, Thorsten Hoffmann, Sebastian Murgul, Michael Heizmann
Estimation of Music Recording Quality to Predict Automatic Music Transcription Performance. ICSM (2022)
Michael Heizmann, Alexander Braun, Markus Glitzner, Matthias Günther, Günther Hasna, Christina Klüver, Jakob Krooß, Erik Marquardt, Michael Overdick, Markus Ulrich
Implementing machine learning: chances and challenges. Autom. 70 (1) (2022)
Marco Wurster, Jan-Felix Klein, Jan-Philipp Kaiser, Simon Mangold, Kai Furmans, Michael Heizmann, Jürgen Fleischer, Gisela Lanza
Integrierte Steuerungsarchitektur für ein agiles Demontagesystem mit autonomer Produktbefundung. Autom. 70 (6) (2022)
Lanxiao Li, Michael Heizmann
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision. CoRR (2022)
Norbert Mitschke, Michael Heizmann
Image-Based Visual Servoing of Rotationally Invariant Objects Using a U-Net Prediction. ICARA (2021)
Maximilian Schambach, Jiayang Shi, Michael Heizmann
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning. CoRR (2021)
Maximilian Schambach, Jiayang Shi, Michael Heizmann
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning. 3DV (2021)
Nina Felicitas Heide, Erik Müller, Janko Petereit, Michael Heizmann
SEG: Model-Agnostic Explanations For The Semantic Segmentation Of 3D Point Clouds With Prototypes And Criticism. ICIP (2021)
Lanxiao Li, Michael Heizmann
2.5D-VoteNet: Depth Map based 3D Object Detection for Real-Time Applications. BMVC (2021)
Norbert Mitschke, Yunou Ji, Michael Heizmann
Task Specific Image Enhancement for Improving the Accuracy of CNNs. ICPRAM (2021)
Moritz Beck, Georg Maier, Merle Flitter, Robin Gruna, Thomas Längle, Michael Heizmann, Jürgen Beyerer
An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection. Sensors 21 (18) (2021)
Kyle Retan, Frasher Loshaj, Michael Heizmann
Radar Odometry on $SE(3)$ With Constant Velocity Motion Prior. IEEE Robotics Autom. Lett. 6 (4) (2021)
Nina Felicitas Heide, Philipp Woock, Maximilian Sauer, Timo Leitritz, Michael Heizmann
UCSR: Registration and Fusion of Cross-Source 2D and 3D Sensor Data in Unstructured Environments. FUSION (2020)
Johannes Wetzel, Astrid Laubenheimer, Michael Heizmann
Joint Probabilistic People Detection in Overlapping Depth Images. IEEE Access 8 (2020)
David Uhlig, Michael Heizmann
A Calibration Method for the Generalized Imaging Model with Uncertain Calibration Target Coordinates. ACCV (3) (2020)
Maximilian Schambach, Michael Heizmann
A Multispectral Light Field Dataset and Framework for Light Field Deep Learning. IEEE Access 8 (2020)
Michael Heizmann, Alexander Braun, Markus Hüttel, Christina Klüver, Erik Marquardt, Michael Overdick, Markus Ulrich
Artificial intelligence with neural networks in optical measurement and inspection systems. Autom. 68 (6) (2020)
Johannes Wetzel, Astrid Laubenheimer, Michael Heizmann
Temporal Smoothing for Joint Probabilistic People Detection in a Depth Sensor Network. MFI (2020)
Johannes Wetzel, Samuel Zeitvogel, Astrid Laubenheimer, Michael Heizmann
Scene-Adaptive Optimization Scheme for Depth Sensor Networks. CERC (2019)
Mohamed Khalil, Christoph Bergs, Theodoros Papadopoulos, Roland Wüchner, Kai-Uwe Bletzinger, Michael Heizmann
IIoT-based Fatigue Life Indication using Augmented Reality. INDIN (2019)
Marcel Hildebrandt, Mohamed Khalil, Christoph Bergs, Volker Tresp, Roland Wüchner, Kai-Uwe Bletzinger, Michael Heizmann
Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach. INDIN (2019)
Christoph Bergs, Michael Heizmann
Kombination unterschiedlicher Modellierungsansätze für die betriebsbegleitende Simulation industrieller Prozesse. Autom. 67 (3) (2019)
Norbert Mitschke, Michael Heizmann, Klaus-Henning Noffz, Ralf Wittmann
A Fixed-Point Quantization Technique for Convolutional Neural Networks Based on Weight Scaling. ICIP (2019)
Christoph Bergs, Michael Heizmann, Dirk Hartmann, Gilberto Lem Carillo
Novel method for online wear estimation of centrifugal pumps using multi-fidelity modeling. ICPS (2019)
Norbert Mitschke, Michael Heizmann, Klaus-Henning Noffz, Ralf Wittmann
Gradient Based Evolution to Optimize the Structure of Convolutional Neural Networks. ICIP (2018)
Christoph Bergs, Michael Heizmann, Harald Held
Hybrid modeling approaches with a view to model output prediction for industrial applications. INDIN (2018)
Jürgen Beyerer, Michael Heizmann, Thomas Längle
Machine vision in automation technology. Autom. 65 (6) (2017)
Faraz Bhatti, Thomas Greiner, Michael Heizmann, Mathias Ziebarth
An extended architecture to optimize execution time of 3D image processing deflectometry algorithm using FPGA. ICSIPA (2017)
Faraz Bhatti, Thomas Greiner, Michael Heizmann, Mathias Ziebarth
A new FPGA based architecture to improve performance of deflectometry image processing algorithm. TSP (2017)
Tan-Toan Le, Mathias Ziebarth, Thomas Greiner, Michael Heizmann
Systematic design of object shape matched wavelet filter banks for defect detection. TSP (2016)
Tan-Toan Le, Mathias Ziebarth, Thomas Greiner, Michael Heizmann
Optimized size-adaptive feature extraction based on content-matched rational wavelet filters. EUSIPCO (2014)
Andreas Hahn, Mathias Ziebarth, Michael Heizmann, Andreas Rieder
Defect Classification on Specular Surfaces Using Wavelets. SSVM (2013)
Tan-Toan Le, Mathias Ziebarth, Thomas Greiner, Michael Heizmann
Inspection of specular surfaces using optimized M-channel wavelets. ICASSP (2013)
Jürgen Beyerer, Michael Heizmann, Helge-Björn Kuntze
Visual Servoing. Autom. 60 (5) (2012)
Christian Kühnert, Lutz Gröll, Michael Heizmann, Markus Reischl, Ralf Mikut
Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen. Autom. 60 (10) (2012)
Ioana Gheta, Michael Heizmann, Andrey Belkin, Jürgen Beyerer
World Modeling for Autonomous Systems. KI (2010)
Ioana Gheta, Michael Heizmann, Jürgen Beyerer
Bayesian fusion of multivariate image to obtain depth information. FUSION (2008)
Ioana Gheta, Christian Frese, Michael Heizmann, Jürgen Beyerer
A New Approach for Estimating Depth by Fusing Stereo and Defocus Information. GI Jahrestagung (1) (2007)
Michael Heizmann, Jürgen Beyerer
Sampling the parameter domain of image series. Image Processing: Algorithms and Systems (2006)
Michael Heizmann
Techniques for the segmentation of striation patterns. IEEE Trans. Image Process. 15 (3) (2006)
Ioana Gheta, Christian Frese, Michael Heizmann
Fusion of Combined Stereo and Focus Series for Depth Estimation. GI Jahrestagung (1) (2006)
Michael Heizmann
Fusion von Bildserien in der automatischen Sichtprüfung. GI Jahrestagung (2) (2005)