Institut für Informationsverarbeitung (TNT)

Conference Contributions
- 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
  (pdf, arxiv) 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
  (pdf, arxiv, 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
  (link) BibTeX
- Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
  ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
  31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI), 2022
  (arXiv, Code) 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
  (pdf, Code) 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
  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, pp. 1-17, September 2022
  (pdf) BibTeX
- Quy Le Xuan, Yeremia Gunawan Adhisantoso, Marco Munderloh, Jörn Ostermann
  Uncertainty-Aware Remaining Useful Life Prediction for Predictive Maintenance Using Deep Learning (accepted)
  16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME, 2022
  BibTeX
- Yeremia Gunawan Adhisantoso, Jörn Ostermann,
  Contact Matrix Compressor
  2022 Data Compression Conference (DCC), pp. 399-408, March 2022
  (pdf, link) 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, Kevin Gerkens, Jörn Ostermann
  Convolutional Neural Networks for the Classification of Guitar Effects and Extraction of the Parameter Settings of Single and Multi Guitar Effects from Instrument Mixes
  EURASIP Journal on Audio, Speech, and Music Processing, 2022
  BibTeX
- Reemt Hinrichs, Hendrik Heise, Lukas: Ostermann Ehmann
  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
  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
  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 (accepted)
  9th Asia-Pacific Workshops on Structural Health Monitoring 2022 (APWSHM 2022), December 2022
  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
  (pdf, arXiv) 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
  (pdf, link) 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
  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
  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
- Alexander Dockhorn
  Choosing Representation, Mutation, and Crossover in Genetic Algorithms
  IEEE Computational Intelligence Magazine, IEEE, Vol. 17, No. 4, pp. 52-53, November 2022
  (link) BibTeX
- Wentong Liao, Cuiling Lan, Michael Ying Yang, Wenjung Zeng, Bodo Rosenhahn
  Target-Tailored Source-Transformation for Scene Graph Generation
  In CVPR Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding, June 2021
  BibTeX
- Cheng Hao, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
  Exploring Dynamic Context for Multi-path Trajectory Prediction
  International Conference on Robotics and Automation , May 2021
  (pdf) BibTeX
- Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Yang Yang, Bodo Rosenhahn
  Spatial-Temporal Transformer for Dynamic Scene Graph Generation
  International Conference on Computer Vision (ICCV), July 2021
  (arXiv) BibTeX
- Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer
  Towards Automatic Risk Adaption in Distributional Reinforcement Learning
  Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning (ICML), July 2021
  (arXiv) BibTeX
- Reemt Hinrichs, Jonas Dunkel, Jörn Ostermann
  Mixing Time-Frequency Distributions for Speech Command Recognition using Convolutional Neural Networks
  6th International Conference on Frontiers of Signal Processing (ICFSP 2021), September 2021
  (pdf) BibTeX
- Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
  Towards Explaining Hyperparameter Optimization via Partial Dependence Plots
  Proceedings of the international workshop on Automated Machine Learning (AutoML) at ICML'21, July 2021
  (link) BibTeX
- Artur Souza, Luigi Nardi, Leonardo Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
  Bayesian Optimization with a Prior for the Optimum
  Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), September 2021
  (arXiv) BibTeX
- Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer
  DACBench: A Benchmark Library for Dynamic Algorithm Configuration
  Proceedings of the international joint conference on artificial intelligence (IJCAI), August 2021
  (pdf, arXiv) BibTeX
- Julia Guerrero-Viu, Sven Hauns, Sergio Izquierdo, Guilherme Miotto, Simon Schrodi, Andre Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter
  Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization
  Proceedings of the international workshop on Automated Machine Learning (AutoML) at ICML'21, July 2021
  (arXiv) BibTeX
- Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn
  Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
  CVPR, June 2021
  (arXiv) BibTeX
- Martin Benjak, Holger Meuel, Thorsten Laude, Jörn Ostermann
  Enhanced Machine Learning-based Inter Coding for VVC
  2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (ICAIIC 2021), April 2021
  (pdf) BibTeX
- Ulrike Pestel-Schiller, Kai Hu, Daniel Gritzner, Jörn Ostermann,
  Determination of Relevant Hyperspectral Bands Using a Spectrally Constrained CNN
  11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Paper 15, Online, March 2021, edited by Institute of Electrical and Electronics Engineers (IEEE)
  (link) BibTeX
- Lars Rumberg, Hanna Ehlert, Ulrike Lüdtke, Jörn Ostermann
  Age-Invariant Training for End-to-End Child Speech Recognition using Adversarial Multi-Task Learning
  Proceedings INTERSPEECH 2021 -- 22th Annual Conference of the International Speech Communication Association, August 2021
  (pdf) BibTeX
- Christoph Kellermann, Yeramia Gunawan Adhisantoso, Marco Munderloh, Jörn Ostermann
  Introduction to an Adaptive Remaining Useful Life Prediction for forming tools
  Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), July 2021
  (pdf) BibTeX
- Reemt Hinrichs, Alexander Schmidt, Julian Koslowski, Jörn Ostermann, Berend Denkena
  Analysis of the impact of data compression on condition monitoring algorithms for ball screws
  CMMO CIRP 2021, 2021
  (pdf) BibTeX
- Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
  Context-Aware Layout to Image Generation with Enhanced Object Appearance
  IEEE Conference on Computer Vision and Pattern Recognition, June 2021
  (pdf) BibTeX
- Andre Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer
  TempoRL: Learning When to Act
  Proceedings of the international conference on machine learning (ICML), July 2021
  (arXiv) BibTeX
- Theresa Eimer, Andre Biedenkapp, Frank Hutter, Marius Lindauer
  Self-Paced Context Evaluation for Contextual Reinforcement Learning
  Proceedings of the international conference on machine learning (ICML), July 2021
  (arXiv) BibTeX
- Hendrik Hachmann, Benjamin Krüger, Bodo Rosenhahn, Waldo Nogueira
  Localization of Cochlear Implant Electrodes from Cone Beam Computed Tomography using Particle Belief Propagation
  International Symposium on Biomedical Imaging, ISBI, April 2021
  (pdf, arXiv) BibTeX
- Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
  World-GAN: a Generative Model for Minecraft Worlds
  IEEE Conference on Games, August 2021
  (arxiv) BibTeX
- Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn
  CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
  Computer Vision and Pattern Recognition (CVPR), IEEE, Virtual, June 2021
  (pdf, arxiv, GitHub, YouTube) BibTeX
- Daniel Gritzner, Jörn Ostermann
  Minimizing Manual Labeling Effort for The Semantic Segmentation of Aerial Images
  2021 IEEE Statistical Signal Processing Workshop (SSP), pp. 81--85, 2021
  BibTeX
- David Speck, André Biedenkapp, Frank Hutter, Robert Mattmüller, Marius Lindauer
  Learning Heuristic Selection with Dynamic Algorithm Configuration
  Proceedings of the 31st International Conference on Automated Planning and Scheduling {(ICAPS'21)}, August 2021
  (pdf, arXiv) BibTeX
- Fabian Hartmann, Aron Sommer, Ulrike Pestel-Schiller, Jörn Osterman
  A scheme for stabilizing the image generation for VideoSAR
  13th European Conference on Synthetic Aperture Radar, March 2021, edited by EUSAR 2021
  (pdf) BibTeX
- Martin Benjak, Yasser Samayoa, Jörn Ostermann
  Neural Network Based Error Concealment for VVC
  Proceedings of the 28th IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, September 2021
  (pdf) BibTeX
- Ulrike Pestel-Schiller, Jörn Ostermann
  Interpreter-Based Evaluation of Compressed SAR Images Using JPEG and HEVC Intra Coding: Compression Can Improve Usability
  13th European Conference on Synthetic Aperture Radar, Online, March 2021
  (pdf) BibTeX
- Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
  Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
  Winter Conference on Applications of Computer Vision (WACV), IEEE, Online, January 2021
  (pdf, arxiv, GitHub, YouTube) BibTeX
- Daniel Gritzner, Jörn Ostermann
  Semantic Segmentation of Aerial Images Using Binary Space Partitioning
  KI 2021: Advances in Artificial Intelligence, Springer International Publishing, pp. 116--134, Cham, 2021, edited by Edelkamp, Stefan; Möller, Ralf; Rueckert, Elmar
  BibTeX
- Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
  Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
  International Conference on Computer Vision (ICCV), IEEE, October 2021
  (pdf, arxiv, code) BibTeX
- Antonia Breuer, Quy Le Xuan, Jan-Aike Termöhlen, Silviu Homoceanu, Tim Fingscheidt
  Quo Vadis? Meaningful Multiple Trajectory Hypotheses Prediction in Autonomous Driving
  24th IEEE International Conference on Intelligent Transportation Systems, ITSC 2021, Indianapolis, IN, United States, September 2021
  (link) BibTeX
- Andrea Hornakova*, Timo Kaiser*, Bodo Rosenhahn, Paul Swoboda, Roberto Henschel, (* equal contribution)
  Higher Order Multiple Object Tracking for Crowded Scenes
  Computer Vision and Pattern Recognition Workshops (CVPRW) , June 2021
  (pdf, link) BibTeX
- Andrea Hornakova*, Timo Kaiser*, Michal Rolinek, Bodo Rosenhahn, Paul Swoboda, Roberto Henschel, (* equal contribution)
  Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
  International Conference on Computer Vision (ICCV), IEEE, October 2021
  (pdf, pdf, arXiv) BibTeX
- Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor Awad, Marius Lindauer, Frank Hutter
  HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
  Proceedings of the international conference on Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track), December 2021
  (arXiv) BibTeX
- Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
  Explaining Hyperparameter Optimization via Partial Dependence Plots
  Proceedings of the international conference on Neural Information Processing Systems (NeurIPS), December 2021
  (link) BibTeX
- Arlind Kadra, Marius Lindauer, Frank Hutter, Josif Grabocka
  Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
  Proceedings of the international conference on Neural Information Processing Systems (NeurIPS), December 2021
  (arXiv) BibTeX
- Fabian Hartmann, Jörn Ostermann
  Investigation of the Effect of the Flight Path on the Three Dimensional Locatability of Targets
  Synthetic Aperture Radar (APSAR), 2021 IEEE 7th Asia-Pacific Conference, Synthetic Aperture Radar (APSAR), 2021 IEEE 7th Asia-Pacific Conference, November 2021
  BibTeX
- Theresa Eimer, Carolin Benjamins, Marius Lindauer
  Hyperparameters in Contextual RL are Highly Situational
  NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning, December 2021
  (pdf) BibTeX
- Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
  CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
  NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning, December 2021
  (arXiv) BibTeX
- Martin Knura, Florian Kluger, Moris Zahtila, Jochen Schiewe, Bodo Rosenhahn, Dirk Burghardt
  Using Object Detection on Social Media Images for Urban Bicycle Infrastructure Planning: A Case Study of Dresden
  ISPRS International Journal of Geo-Information, October 2021
  (link) BibTeX
- Felix Kuhnke, Sontje Ihler, Jörn Ostermann
  Relative Pose Consistency for Semi-Supervised Head Pose Estimation
  16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), IEEE, pp. 01-08, Jodhpur, India (Virtual Event), December 2021
  BibTeX
- Daniel Gritzner, Hauke Hinrichs, Chris Stetter, Henrik Wielert, Michael H. Breitner, Jörn Ostermann
  Wind Turbine Localization in Satellite and Aerial Images
  Proceedings of the Wind Energy Science Conference 2021, No. 10, pp. 40-41, 2021
  BibTeX
- Alexander Dockhorn, Jorge Hurtado-Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez-Liebana
  Portfolio Search and Optimization for General Strategy Game-Playing
  2021 IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 2085-2092, 2021
  (pdf, link) BibTeX
- Alexander Dockhorn, Jorge Hurtado-Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez-Liebana
  Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing
  Proceedings of the 2021 IEEE Conference on Games (CoG), IEEE, pp. 1--8, August 2021
  (pdf, link) BibTeX
- Diego Perez-Liebana, Cristina Guerrero-Romero, Alexander Dockhorn, Linjie Xu, Jorge Hurtado, Dominik Jeurissen
  Generating Diverse and Competitive Play-Styles for Strategy Games
  2021 IEEE Conference on Games (CoG), IEEE, pp. 1-8, 2021
  (pdf, link) BibTeX
- Alexander Dockhorn, Sanaz Mostaghim, Martin Kirst, Martin Zettwitz
  Multi-Objective Optimization and Decision-Making in Context Steering
  2021 IEEE Conference on Games (CoG), IEEE, pp. 1-8, 2021
  (pdf, link) BibTeX
- Wentong Liao, Xiang Cheng, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn
  LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery
  XXIV ISPRS Congress, International Society for Photogrammetry and Remote Sensing (ISPRS), No. 381, p. 8, Nice, September 2020, edited by N. Paparoditis, C. Mallet, F. Lafarge, F. Remondino, I. Toschi, T. Fuse
  (pdf) BibTeX
- Yasser Samayoa, Jörn Ostermann
  Parameter Selection for a Video Communication System based on HEVC and Channel Coding
  IEEE Latin-American Conference on Communications (LATINCOM 2020), p. 5, Brazil, November 2020
  (pdf) BibTeX
- Malgorzata Rechmal-Lesse, Gerald Alexander Koroa, Yeremia Gunawan Adhisantoso, Markus Olbrich
  Automated Model Generation Including Variations for Formal Verification of Nonlinear Analog Circuits
  2020 18th IEEE International New Circuits and Systems Conference (NEWCAS), pp. 66-69, 2020
  BibTeX
- Malgorzata Rechmal-Lesse, Gerald Alexander Koroa, Yeremia Gunawan Adhisantoso, Markus Olbrich
  Automatically Generated Nonlinear Analog Circuit Models Enclosing Variations with Intervals and Affine Forms for Reachability Analysis
  2020 23rd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS), IEEE, pp. 1-4, 2020
  BibTeX
- Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier
  Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking
  International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Vol. 12263, No. 23, pp. 54--64, Lima, Peru, October 2020
  BibTeX
- Berend Denkena, Marc Dittrich, Marius Lindauer, Julia Mainka, Lukas Stürenburg
  Using AutoML to Optimize Shape Error Prediction in Milling Processes
  Proceedings of 20th Machining Innovations Conference for Aerospace Industry (MIC), December 2020
  (pdf, link) BibTeX
- Marc-André Dittrich, Bodo Rosenhahn, Marcus Magnor, Denkena, Malek Berend, Marco Munderloh, Marc Kassubek
  Dreaming neural networks for adaptive polishing
  20th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2020, EUSPEN, pp. 263-266, 2020
  (link) BibTeX
- Andre Biedenkapp, H. Furkan Bozkurt, Theresa Eimer, Frank Hutter, Marius Lindauer
  Algorithm Control: Foundation of a New Meta-Algorithmic Framework
  Proceedings of the European Conference on Artificial Intelligence (ECAI), 2020
  (pdf) BibTeX
- Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
  Temporally Consistent Horizon Lines
  International Conference on Robotics and Automation (ICRA), Paris, France, June 2020
  (arXiv) BibTeX
- Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
  CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
  Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June 2020
  (arXiv) BibTeX
- Felix Kuhnke, Lars Rumberg, Jörn Ostermann
  Two-Stream Aural-Visual Affect Analysis in the Wild
  15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), IEEE Computer Society, pp. 366-371, May 2020
  (paper arxiv code) BibTeX
- Yasser Samayoa, Jörn Ostermann
  Modified Active Constellation Extension Algorithm for PAPR Reduction in OFDM Systems
  2020 Wireless Telecommunications Symposium (WTS), p. 5, Washington, USA, April 2020
  (pdf) BibTeX
- Reemt Hinrichs, Nan Jiang, Raul Beltran, Thomas Krause, Alexander Lange, Max Käding, Boso Schmidt, Steffen Marx, Jörn Ostermann,
  Analysis of the repeatability of the pencil lead break artificial sound source
  59th Annual British Conference on Non-Destructive Testing, September 2020
  BibTeX
- David Speck, André Biedenkapp, Frank Hutter, Robert Mattmüller, Marius Lindauer
  Learning Heuristic Selection with Dynamic Algorithm Configuration
  Proceedings of international workshop on Bridging the Gap Between AI Planning and Reinforcement Learning at ICAPS, June 2020
  (arXiv) BibTeX
- Theresa Eimer, Andre Biedenkapp, Frank Hutter, Marius Lindauer
  Towards Self-Paced Context Evaluations for Contextual Reinforcement Learning
  Workshop on Inductive Biases, Invariances and Generalization in Reinforcement Learning (BIG@ICML'20), July 2020
  (pdf) BibTeX
- Andre Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer
  Towards TempoRL: Learning When to Act
  Workshop on Inductive Biases, Invariances and Generalization in Reinforcement Learning (BIG@ICML'20), July 2020
  (pdf) BibTeX
- Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
  TOAD-GAN: Coherent Style Level Generation from a Single Example
  AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Best Student Paper Award , October 2020
  (AAAI, github, arxiv, Award, Talk (YouTube)) BibTeX
- Andrea Hornakova*, Roberto Henschel*, Bodo Rosenhahn, Paul Swoboda, (* equal contribution)
  Lifted Disjoint Paths with Application in Multiple Object Tracking
  Proceedings of the 37th International Conference on Machine Learning (ICML), July 2020
  (pdf, pdf, Visual Results, Code, Video Presentation) BibTeX
- Artur Souza, Luigi Nardi, Leonardo Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
  Prior-guided Bayesian Optimization
  Proceedings of the Workshop on Meta-Learning (NeurIPS), pp. 1-19, December 2020
  (link) BibTeX
- Petrissa Zell, Bodo Rosenhahn, Bastian Wandt
  Weakly-supervised Learning of Human Dynamics
  European Conference on Computer Vision (ECCV), August 2020
  (arxiv, data ) BibTeX
- Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
  NODIS: Neural Ordinary Differential Scene Understanding
  European Conference on Computer Vision (ECCV), August 2020
  (arXiv) BibTeX
- Henrik Jürgens, Reemt Hinrichs, Jörn Ostermann
  Recognizing Guitar Effects and Their Parameter Settings
  Proceedings of the DAFx2020 (Vol I), 2020
  (pdf) BibTeX
- Sönke Südbeck, Thomas Krause, Jörn Ostermann
  Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario
  IEEE MMSP 2020 - IEEE International Workshop on Multimedia Signal Processing, September 2020
  BibTeX
- Gresa Shala, Andre Biedenkapp, Noor Awad, Steven Adriaensen, Marius Lindauer, Frank Hutter
  Learning Step-Size Adaptation in CMA-ES
  Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature ({PPSN}'20), September 2020
  (pdf, arXiv) BibTeX