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  • Conference Contributions
    • Christoph Reinders, Radu Berdan, Beril Besbinar, Junji Otsuka, Daisuke Iso
      RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation
      Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
      (arXiv.org, GitHub) BibTeX
    • Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
      Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
      IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, February 2025
      (pdfGitHub) BibTeX
    • Martin Benjak, Jörn Ostermann
      Exploration of Sequence-wise Optimized Parameters for Low Complexity Enhancement Video Coding (LCEVC) on 4K Content
      IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2025
      BibTeX
    • Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn
      QPM: Discrete Optimization for Globally Interpretable Image Classification
      The Thirteenth International Conference on Learning Representations (ICLR), April 2025
      (PDF, Link, GitHub) BibTeX
    • Konrad Bethmann, Yannik Mahlau, Frederik Schubert, Marco Munderloh, Bodo Rosenhahn, Bernhard Roth, Jörn Ostermann
      Inverse design of robust out-of-plane coupling elements
      proceedings Photonics West, January 2025
      BibTeX
    • Maximilian Schier, Frederik Schubert, Bodo Rosenhahn
      Explainable Reinforcement Learning via Dynamic Mixture Policies
      2025 IEEE International Conference on Robotics and Automation (ICRA), IEEE, p. To be published, 2025
      (pdfGitHub) BibTeX
    • Melanie Schaller, Bodo Rosenhahn
      S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart Buildings
      Preprint, 2025
      (arXiv.org) BibTeX
    • Melanie Schaller
      Pulsating Waterjet Cutting Dataset
      Kaggle, February 2025
      (Link) BibTeX
    • Melanie Schaller, Sergej Hloch, Akash Nag, Dagmar Klichova, Nick Janssen, Frank Pude, Michal Zelenak, Bodo Rosenhahn
      S4D-Bio Audio Monitoring of Bone Cement Disintegration in Pulsating Fluid Jet Surgery under Laboratory Conditions
      Preprint, March 2025
      (arXiv.org) BibTeX
    • Mathis Kruse, Bodo Rosenhahn
      Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection
      CVPR Workshops 2025, June 2025
      (pdfarXiv.org, GitHub) BibTeX
    • Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn
      UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
      Forty-second International Conference on Machine Learning (ICML), PLMR, Vancouver, July 2025
      (pdf, pdfGitHub, arXiv.org) BibTeX
    • Yuren Cong, Mengmeng Xu, Christian Simon, Shoufa Chen, Jiawei Ren, Yanping Xie, Juan-Manuel Perez-Rua, Bodo Rosenhahn, Tao Xiang, Sen He
      FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
      International Conference on Learning Representations (ICLR) , 2024
      (arXiv, Webpage) BibTeX
    • Florian Kluger, Bodo Rosenhahn
      PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
      AAAI, February 2024
      (arXiv.org) BibTeX
    • Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Perez-Rua
      GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
      Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
      (arXiv, Webpage) BibTeX
    • Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn
      Q-SENN: Quantized Self-Explaining Neural Networks
      AAAI Technical Track on Safe, Robust and Responsible AI, AAAI Press, Vol. 38, No. 19, pp. 21482--21491, Vancouver, Canada, February 2024, edited by Michael J. Wooldridge and Jennifer G. Dy and Sriraam Natarajan
      (pdf) BibTeX
    • Mathis Kruse, Marco Rudolph, Dominik Woiwode, Bodo Rosenhahn
      SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection
      IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, IEEE, pp. 3950--3960, June 2024
      (arXiv.org, GitHub) BibTeX
    • Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn
      Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
      Proceedings of the 41st International Conference on Machine Learning (ICML), July 2024
      (arXiv.org) BibTeX
    • Christoph Hirche
      Quantum Doeblin coefficients: A simple upper bound on contraction coefficients
      preprint, 2024
      BibTeX
    • Hamidreza Maharlou, Nicole Bössel-Debbert, Michael Lucht, Hannah B. Maier, Stefanie Mücke, Fabian Müntefering, Barbara Neuhaus, Jana Prokein, Christine Reif-Leonhard, Jan Voges, Heike Weber, Antoine Weihs, Helge Frieling, Steffen Oeltze-Jafra
      Cooperative Design of a Dashboard for Monitoring the P4D Cohort Study on Major Depression
      EuroVisPosters2024, May 2024
      (pdfDOI) BibTeX
    • Yeremia Gunawan Adhisantoso, Patrick Cheung,
      Continuation of the MPEG-G Part 6 Specification Verification and Enhancement Study - m68660
      ISO/IEC JTC 1/SC 29/WG 8, July 2024
      BibTeX
    • Yeremia Gunawan Adhisantoso, Patrick Cheung, Ünsal Öztürk,
      Study on the Verification and Enhancement of the MPEG-G Part 2 Specification - m67352
      ISO/IEC JTC 1/SC 29/WG 8 , April 2024
      BibTeX
    • Yeremia Gunawan Adhisantoso, Patrick Cheung
      Study on the Verification and Enhancement of the MPEG-G Part 6 Specification - m67351
      ISO/IEC JTC 1/SC 29/WG 8 , April 2024
      BibTeX
    • Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez-Liebana, Jinyu Wang, Lei Song, Jiang Bian
      Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning
      Proceedings of the IEEE Conference on Games 2024, IEEE, pp. 1-8, 2024
      (pdf) BibTeX
    • Linjie Xu, Diego Perez-Liebana, Alexander Dockhorn
      Strategy Game-Playing with Size-Constrained State Abstraction
      Proceedings of the IEEE Conference on Games 2024, IEEE, pp. 1-8, 2024
      (pdf) BibTeX
    • Carlo Nübel, Alexander Dockhorn, Sanaz Mostaghim
      Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies
      Proceedings of the Conference on Games 2024, IEEE, pp. 1-4, 2024
      (pdf) BibTeX
    • Mehmet Kayra Oguz, Alexander Dockhorn
      Markov Senior - Learning Markov Junior Grammars to Generate User-specified Content
      Proceedings of the IEEE Conference on Games 2024, IEEE, pp. 1-8, 2024
      (pdf) BibTeX
    • Mohit Jiwatode, Leon Schlecht, Alexander Dockhorn
      Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization
      Proceedings of the Conference on Games 2024, IEEE, pp. 1-8, 2024
      (pdf) BibTeX
    • Ronja Fuchs, Robin Gieseke, Alexander Dockhorn
      Personalized Dynamic Difficulty Adjustment - Imitation Learning Meets Reinforcement Learning
      Proceedings of the IEEE Conference on Games 2024, IEEE, pp. 1-2, 2024
      (pdf) BibTeX
    • Daan Apeldoorn, Alexander Dockhorn, Torsten Panholzer
      AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios
      Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, p. 1–2, Melbourne, VIC, Australia, 2024
      (pdfLink) BibTeX
    • Timo Kaiser, Ulman Vladimir, Bodo Rosenhahn,
      CHOTA: A Higher Order Accuracy Metric for Cell Tracking
      European Conference on Computer Vision Workshops (ECCVW), Springer, October 2024
      (pdfGitHub) BibTeX
    • Yi-Hsin Chen, Kuan-Wei Ho, Martin Benjak, Jörn Ostermann, Wen-Hsiao Peng
      On the Rate-Distortion-Complexity Trade-offs of Neural Video Coding
      IEEE 26th International Workshop on Multimedia Signal Processing (MMSP), 2024
      BibTeX
    • Tristan Gottwald, Maximilian Schier, Bodo Rosenhahn
      Safe Resetless Reinforcement Learning: Enhancing Training Autonomy with Risk-Averse Agents
      European Conference on Computer Vision Workshops (ECCVW), October 2024
      (pdfGitHub) BibTeX
    • Reemt Hinrichs, Jörn Ostermann
      Pruning-aware Loss Functions for STOI-Optimized Pruned Recurrent Autoencoders for the Compression of the Stimulation Patterns of Cochlear Implants at Zero Delay
      Asilomar Conference on Signals, Systems, and Computers, October 2024
      (pdf) BibTeX
    • Alexander Lange, Ronghua Xu, Max Fiedler, Steffen Marx, Jörn Ostermann
      Acoustic Emission Detection in Noisy Environments using Linear Prediction
      Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM), June 2024
      (DOI) BibTeX
    • Ronghua Xu, Alexander Lange, Max Fiedler, Jörn Ostermann, Steffen Marx
      Detecting wire breaks in post-tensioned tendons of wind turbines: A signal energy spectrum analysis approach
      Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM), June 2024
      (DOI) BibTeX
    • Daniel Gritzner, Sandra Peters-Erjawetz, Carsten Fichter, Jörn Ostermann
      WindGISKI: Using AI to Propose Areas Suitable for Building New Wind Turbines
      Proceedings of the DHBW AI Transfer Congress 2024, DHBW, Stuttgart, 2024
      (pdf) BibTeX
    • Melanie Schaller, Daniel Schlör, Andreas Hotho
      ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior
      Preprint, June 2024
      (arXiv.org) BibTeX
    • Melanie Schaller, Sergej Hloch, Akash Nag, Dagmar Klichova, Nick Janssen, Frank Pude, Michal Zelenak, Bodo Rosenhahn
      Bone Cement Removal with Audio-Monitoring and Erosion Depth (Dataset)
      IEEEDataport, November 2024
      (Link) BibTeX
    • Mariia Khan, Yue Qiu, Yuren Cong, Bodo Rosenhahn, David Suter, Jumana Abu-Khalaf
      Indoor Scene Change Understanding (SCU): Segment, Describe, and Revert Any Change
      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , IEEE, Abu Dhabi, United Arab Emirates , October 2024
      (GitHub, IEEEexplore) BibTeX
    • Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
      Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
      Winter Conference on Applications of Computer Vision (WACV), IEEE, Hawaii, USA, January 2023
      (pdfarXiv.org) BibTeX
    • Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
      Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations
      2023 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp. 7147-7153, 2023
      (pdfGithub, Final Paper) BibTeX
    • Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Yang
      SSGVS: Semantic Scene Graph-to-Video Synthesis
      Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023
      (arXiv.org) BibTeX
    • Reemt Hinrichs, Julian Bilsky, Jörn Ostermann
      Vector-Quantized Feedback Recurrent Autoencoders for the Compression of the Stimulation Patterns of Cochlear Implants at Zero Delay
      Proceedings of the 24th International Conference on Digital Signal Processing, June 2023
      (pdf) BibTeX
    • Timo Kaiser, Christoph Reinders, Bodo Rosenhahn
      Compensation Learning in Semantic Segmentation
      Computer Vision and Pattern Recognition Workshops (CVPRW) , June 2023
      (pdf, pdfGitHub, arXiv.org) BibTeX
    • Christopher Gebauer, Lars Rumberg, Jörn Ostermann
      Pronunciation Modeling for Children’s Speech
      Elektronische Sprachsignalverarbeitung (ESSV), TUDpress, Dresden, pp. 79--86, March 2023
      (pdfLink) BibTeX
    • Hanna Ehlert, Edith Beaulac, Maren Wallbaum, Christopher Gebauer, Lars Rumberg, Jörn Ostermann, Ulrike Lüdtke
      Collecting and Annotating Natural Child Speech Data – Challenges and Interdisciplinary Perspectives
      Elektronische Sprachsignalverarbeitung (ESSV), TUDpress, Dresden, pp. 72--78, March 2023
      (pdfLink) BibTeX
    • Christopher Olson, Lars Wagner, Alexander Dockhorn
      Evolutionary Optimization of Baba Is You Agents
      2023 IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 1-8, 2023
      (pdf) BibTeX
    • Chang-Shing Lee, Mei-Hui Wang, Chih-Yu Chen, Fu-Jie Yang, Alexander Dockhorn
      Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience
      2023 IEEE Congress on Evolutionary Computation, IEEE, pp. 1-8, 2023
      (pdf) BibTeX
    • Hendrik Hachmann, Bodo Rosenhahn
      Human Spine Motion Capture using Perforated Kinesiology Tape
      Computer Vision and Pattern Recognition Workshops (CVPRW), June 2023
      (pdf) BibTeX
    • Hendrik Hachmann, Bodo Rosenhahn
      Color-aware Deep Temporal Backdrop Duplex Matting System
      MMSys '23: Proceedings of the 14th ACM Multimedia Systems Conference, June 2023
      (pdf) BibTeX
    • Lars Rumberg, Christopher Gebauer, Hanna Ehlert, Maren Wallbaum, Ulrike Lüdtke, Jörn Ostermann
      Uncertainty Estimation for Connectionist Temporal Classification Based Automatic Speech Recognition
      Proc. INTERSPEECH 2023, pp. 4583--4587, August 2023
      (pdf) BibTeX
    • Christopher Gebauer, Lars Rumberg, Hanna Ehlert, Ulrike Lüdtke, Jörn Ostermann
      Exploiting Diversity of Automatic Transcripts from Distinct Speech Recognition Techniques for Children’s Speech
      Accepted to Interspeech 2023, August 2023
      (pdf) BibTeX
    • Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
      Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning
      2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, September 2023
      (pdfGitHub) BibTeX
    • Patrick Glandorf*, Bodo Rosenhahn, (* equal contribution)
      HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization
      International Conference on Computer Vision Workshops (ICCVW), IEEE, October 2023
      (arXiv.org) BibTeX
    • Patrick Glandorf*, Timo Kaiser*, Bodo Rosenhahn, (*contributed equally)
      HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization
      International Conference on Computer Vision Workshops (ICCVW), October 2023
      (pdf, pdfarXiv.org) BibTeX
    • Yeremia Gunawan Adhisantoso, Jan Voges, Jörn Ostermann
      PEKORA: High-Performance 3D Genome Reconstruction Using K-th Order Spearman's Rank Correlation Approximation
      ISMB/ECCB 2023, Lyon (FR), July 2023
      (pdfLink) BibTeX
    • Fabian Müntefering, Jörn Ostermann, Jan Voges
      BACON: Bacterial Clone Recognition from Metagenomic Sequencing Data
      AICPM 2023, Hannover (DE), September 2023
      (pdf) BibTeX
    • Nils Wörz, Dominik Woiwode, Justin Sondheim, Dörthe Behrens, Dorian Rudy, Team Glücksklee
      Pflanzenforschung an Bord der ISS
      BIOspektrum 29, Vol. 29, No. 5, p. 557, September 2023
      (DOI, Springer) BibTeX
    • Martin Benjak, Yi-Hsin Chen, Wen-Hsiao Peng, Jörn Ostermann
      Learning-Based Scalable Video Coding with Spatial and Temporal Prediction
      IEEE International Conference on Visual Communications and Image Processing (VCIP), Jeju, Korea, December 2023
      (pdf) BibTeX
    • Hong-Sheng Xie, Yi-Hsin Chen, Wen-Hsiao Peng, Martin Benjak, Jörn Ostermann
      Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information
      IEEE International Conference on Visual Communications and Image Processing (VCIP), Jeju, Korea, December 2023
      BibTeX
    • Christian Rohlfing, Thibaut Meyer, Jens Schneider, Jan Voges
      Python Wrapper for Context-based Adaptive Binary Arithmetic Coding
      2023 IEEE International Conference on Visual Communications and Image Processing (VCIP), December 2023
      (pdf) BibTeX
    • Tom Wehrbein, Bodo Rosenhahn, Iain Matthews, Carsten Stoll
      Personalized 3D Human Pose and Shape Refinement
      International Conference on Computer Vision Workshops (ICCVW), IEEE, Paris, France, October 2023
      (pdf, pdfLink) BibTeX
    • Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
      AutoRL Hyperparameter Landscapes
      Second International Conference on Automated Machine Learning, PMLR, pp. 1-14, May 2023
      (pdf, pdfLink, arXiv.org) BibTeX
    • Parisa Safikhani, David Broneske
      Enhancing AutoNLP with fine-tuned BERT models: An evaluation of text representation methods for AutoPyTorch.
      International Conference on Machine Learning Techniques and NLP , AIRCC, Vol. 13, No. 16, Copenhagen, September 2023, edited by David C. Wyld, Dhinaharan Nagamalai (Eds)
      (PDF) BibTeX
    • Hayastan Avetisyan, Parisa Safikhani, David Broneske
      Laughing Out Loud – Exploring AI-Generated and Human-Generated Humor
      International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI 2023), AIRCC, Sydny, Australia, December 2023, edited by David C. Wyld, Dhinaharan Nagamalai (Eds)
      (PDF) BibTeX (paper page)
    • Ulrike Pestel-Schiller, Johannes Busch, Paul-Robert Meinicke, Jörn Ostermann
      Gain Adapted Quantization in HEVC Coding Applied to Drone Remote Sensing
      13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Athen, November 2023
      (pdf) BibTeX
    • Ronghua Xu, Alexander Lange, Max Käding, Steffen Marx, Jörn Ostermann
      Energy spectral analysis of wire breaks in post-tensioned tendons for wind turbines
      19th EAWE PhD Seminar on Wind Energy, pp. 204-207, September 2023
      (pdfProceedings) BibTeX
    • Alexander Lange, Max Käding, Ronghua Xu, Steffen Marx, Jörn Ostermann
      Semi-supervised learning for acoustic emission monitoring of tendons in prestressed concrete bridges
      14th International Workshop on Structural Health Monitoring (IWSHM), Stanford, September 2023
      (DOI) BibTeX
    • Pascal Janetzky, Melanie Schaller, Anna Krause, Andreas Hotho
      Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data
      30th International Conference on Systems, Signals and Image Processing (IWSSIP), IEEE, June 2023
      (IEEEexplore) BibTeX
    • Melanie Schaller, Michael Steininger, Andrzej Dulny, Daniel Schlör, Andreas Hotho
      Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks
      CEUR Workshop Proceedings, 2023
      (Link) BibTeX
    • Reemt Hinrichs, Nan Jiang, Raul Beltran, Thomas Krause, Max Käding, Alexander Lange, Boso Schmidt, Jörn Ostermann, Steffen Marx
      Analysis of the Repeatability of the Pencil Lead Break in Comparison to the Ball Impact and Electromagnetic Body-Noise Actuator
      20th World Conference on Non-Destructive Testing (WCNDT 2020), 2022
      BibTeX
    • Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
      Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
      Winter Conference on Applications of Computer Vision (WACV), IEEE, Hawaii, USA, January 2022
      (pdfarXiv.org, GitHub) BibTeX
    • Reemt Hinrichs, Kevin Gerkens, Alexander Lange, Jörn Ostermann
      Classification of Guitar Effects and Extraction of their Parameter Settings from Instrument Mixes Using Convolutional Neural Networks
      EvoMUSART 2022, 2022
      (pdf) BibTeX
    • Carl Hvarfner, Danny Stoll, Artur Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
      piBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
      10th International Conference on Learning Representations, ICLR'22, OpenReview, pp. 1-30, April 2022
      (PDF) BibTeX
    • Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
      ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
      Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI), 2022
      (arXiv.org, GitHub) BibTeX
    • Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
      Constrained Mean Shift Clustering
      Proceedings of the 2022 SIAM International Conference on Data Mining (SDM), SIAM, April 2022
      (pdfGitHub) BibTeX
    • Reemt Hinrichs, Kai Liang, Ze Lu, Jörn Ostermann
      Improved Compression of Artificial Neural Networks through Curvature-Aware Training
      Proceedings of the IEEE World Congress on Computational Intelligence, July 2022
      (pdf) BibTeX
    • André Biedenkapp, David Speck, Silvan Sievers, Frank Hutter, Marius Lindauer, Jendrik Seipp
      Learning Domain-Independent Policies for Open List Selection
      Proceedings of the 3rd ICAPS workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), pp. 1-9, 2022
      BibTeX
    • Kai Cordes, Christoph Reinders, Paul Hindricks, Jonas Lammers, Bodo Rosenhahn, Hellward Broszio
      RoadSaW: A Large-Scale Dataset for Camera-Based Road Surface and Wetness Estimation
      2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
      (Link) BibTeX
    • Lars Rumberg, Christopher Gebauer, Hanna Ehlert, Maren Wallbaum, Lena Bornholt, Jörn Ostermann, Ulrike Lüdtke
      kidsTALC: A Corpus of 3- to 11-year-old German Children’s Connected Natural Speech
      Proceedings INTERSPEECH 2022 – 23rd Annual Conference of the International Speech Communication Association, ISCA, September 2022
      (pdf) BibTeX
    • Lars Rumberg, Christopher Gebauer, Hanna Ehlert, Ulrike Lüdtke, Jörn Ostermann
      Improving Phonetic Transcriptions of Children’s Speech by Pronunciation Modelling with Constrained CTC-Decoding
      Proceedings INTERSPEECH 2022 – 23rd Annual Conference of the International Speech Communication Association, ISCA, September 2022
      (pdf) BibTeX
    • Mina Mirzadeh, Robin Strunk, Sophie Matter, Iwo Bekker, Marco Munderloh, Tobias Erckrath, Lutz Hofmann, Axel Mertens
      A Rule-based Concept for a Bottom-up Multi-Master Black Start of an Inverter-Dominated Low-Voltage Cell
      2022 IEEE 13th International Symposium Power Electronics for Distributed Generation Systems, IEEE, June 2022
      BibTeX
    • Bodo Rosenhahn
      Mixed Integer Linear Programming for Optimizing a Hopfield Network
      European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Springer Nature, No. 5, p. 344–360, September 2022
      (pdfDOI) BibTeX
    • Quy Le Xuan, Yeremia Gunawan Adhisantoso, Marco Munderloh, Jörn Ostermann
      Uncertainty-Aware Remaining Useful Life Prediction for Predictive Maintenance Using Deep Learning
      16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME, 2022
      (DOI) BibTeX
    • Yeremia Gunawan Adhisantoso, Jörn Ostermann,
      Contact Matrix Compressor
      2022 Data Compression Conference (DCC), pp. 399-408, March 2022
      (pdfIEEEexplore) BibTeX
    • Yeremia Gunawan Adhisantoso, Quy Le Xuan, Christoph Kellerman, Marco Munderloh, Jörn Ostermann
      Introduction to Deep Degradation Metric in Smart Production Ecosystems
      16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME, 2022
      (pdf) BibTeX
    • Reemt Hinrichs, Hendrik Heise, Lukas Ehmann, Jörn Ostermann
      Lossless Compression at Zero Delay of the Electrical Stimulation Patterns of Cochlear Implants for Wireless Streaming of Audio Using Artificial Neural Networks
      7th International Conference on Frontiers of Signal Processing, 2022
      (pdf) BibTeX
    • Alexander Lange, Max Käding, Reemt Hinrichs, Jörn Ostermann, Steffen Marx
      Wire Break Detection in Bridge Tendons Using Low-Frequency Acoustic Emissions
      European Workshop on Structural Health Monitoring. EWSHM 2022., Springer, June 2022
      (DOI) BibTeX
    • Ronghua Xu, Max Käding, Alexander Lange, Jörn Ostermann, Steffen Marx
      Detection of impulsive signals on tendons for hybrid wind turbines using acoustic emission measurements
      International Symposium on Non-Destructive Testing in Civil Engineering (NDT-CE 2022), August 2022
      (Link) BibTeX
    • Alexander Lange, Reemt Hinrichs, Jörn Ostermann
      Localized Damage Detection in Wind Turbine Rotor Blades using Airborne Acoustic Emissions
      9th Asia-Pacific Workshops on Structural Health Monitoring 2022 (APWSHM 2022), December 2022
      (DOI) BibTeX
    • Martin Benjak, Niklas Aust, Yasser Samayoa, Jörn Ostermann
      Neural Network-based Error Concealment for B-Frames in VVC
      2022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, Texas, USA, 2022
      (pdf) BibTeX
    • Linjie Xu, Jorge Hurtado-Grueso, Dominic Jeurissen, Diego Perez Liebana, Alexander Dockhorn
      Elastic Monte Carlo Tree Search State Abstraction for Strategy Game Playing
      2022 IEEE Conference on Games (CoG), IEEE, 2022
      (pdfarXiv.org) BibTeX
    • Lars Wagner, Christopher Olson, Alexander Dockhorn
      Generalizations of Steering - A Modular Design
      2022 IEEE Conference on Games (CoG), IEEE, pp. 1-4, 2022
      (pdf) BibTeX
    • Linjie Xu, Diego Perez-Liebana, Alexander Dockhorn
      Towards Applicable State Abstractions: a Preview in Strategy
      The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) - RL as a Model of Agency, pp. 1-7, 2022
      (pdfLink) BibTeX
    • Ulrike Pestel-Schiller, Jörn Ostermann
      Impact of Spatial Resolution and Zoom on Interpreter-Based Evaluation of Compressed SAR Images
      14th European Conference on Synthetic Aperture Radar, Leipzig, July 2022
      BibTeX
    • Ulrike Pestel-Schiller, Ye Yang, Jörn Ostermann
      Semantic Segmentation of Natural and Man-Made Fruits Using a Spatial-Spectral Two-Channel-CNN for Sparse Data
      12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Rome, Italy, September 2022
      (pdf) BibTeX
    • Reemt Hinrichs, Felix Ortmann, Jörn Ostermann
      Vector-Quantized Zero-Delay Deep Autoencoders for the Compression of Electrical Stimulation Patterns of Cochlear Implants Using STOI
      IEEE EMBS 2022, 2022
      (pdf) BibTeX
    • Vasileios Iosifidis, Symeon Papadopulous, Bodo Rosenhahn, Eirini Ntoutsi
      AdaCC: cumulative cost-sensitive boosting for imbalanced classification
      Knowledge and Information Systems, Springer Nature, p. 38, October 2022, edited by Xindong Wu
      (pdf) BibTeX
    • Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn
      Take 5: Interpretable Image Classification with a Handful of Features
      Progress and Challenges in Building Trustworthy Embodied AI @NeurIPS, December 2022
      (pdfLink) BibTeX
    • Christoph Kellermann, Erik Neumann, Jörn Ostermann
      Prediction of variable forecast horizons with artificial neural networks by embedding the temporal resolution warping
      International Conference on Control, Automation and Diagnosis (ICCAD), pp. 1-5, Lisbon, Portugal, 2022
      (DOI) BibTeX
Letzte Änderung: 2025-05-21
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