Bodo Rosenhahn

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 195

Top Venues

University of Kiel, Germany (PHD)

Education History

University of Kiel, Germany

PHD

Publications

Florian Kluger, Bodo Rosenhahn
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus. CoRR (2024)
Bodo Rosenhahn, Christoph Hirche
Quantum Normalizing Flows for Anomaly Detection. CoRR (2024)
Jan Thieß Brockmann, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
The voraus-AD Dataset for Anomaly Detection in Robot Applications. IEEE Trans. Robotics 40 (2024)
Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn
Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games. CoRR (2024)
Yuren Cong, Martin Renqiang Min, Li Erran Li, Bodo Rosenhahn, Michael Ying Yang
Attribute-Centric Compositional Text-to-Image Generation. CoRR (2023)
Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Ying Yang
SSGVS: Semantic Scene Graph-to-Video Synthesis. CVPR Workshops (2023)
Yuren Cong, Wentong Liao, Bodo Rosenhahn, Michael Ying Yang
Learning Similarity between Scene Graphs and Images with Transformers. CoRR (2023)
Patrick Glandorf, Timo Kaiser, Bodo Rosenhahn
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization. ICCV (Workshops) (2023)
Hendrik Hachmann, Bodo Rosenhahn
Color-aware Deep Temporal Backdrop Duplex Matting System. CoRR (2023)
Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection. WACV (2023)
Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn
Take 5: Interpretable Image Classification with a Handful of Features. CoRR (2023)
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations. ICRA (2023)
Timo Kaiser, Christoph Reinders, Bodo Rosenhahn
Compensation Learning in Semantic Segmentation. CVPR Workshops (2023)
Andrea Avogaro, Federico Cunico, Bodo Rosenhahn, Francesco Setti
Markerless human pose estimation for biomedical applications: a survey. CoRR (2023)
Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
Wor(l)d-GAN: Toward Natural-Language-Based PCG in Minecraft. IEEE Trans. Games 15 (2) (2023)
Andrea Avogaro, Federico Cunico, Bodo Rosenhahn, Francesco Setti
Markerless human pose estimation for biomedical applications: a survey. Frontiers Comput. Sci. 5 (2023)
Tom Wehrbein, Bodo Rosenhahn, Iain A. Matthews, Carsten Stoll
Personalized 3D Human Pose and Shape Refinement. ICCV (Workshops) (2023)
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning. ITSC (2023)
Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Jan Thieß Brockmann, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
The voraus-AD Dataset for Anomaly Detection in Robot Applications. CoRR (2023)
Timo Kaiser, Christoph Reinders, Bodo Rosenhahn
Compensation Learning in Semantic Segmentation. CoRR (2023)
Hendrik Hachmann, Bodo Rosenhahn
Human Spine Motion Capture using Perforated Kinesiology Tape. CVPR Workshops (2023)
Hendrik Hachmann, Bodo Rosenhahn
Color-aware Deep Temporal Backdrop Duplex Matting System. MMSys (2023)
Yuren Cong, Mengmeng Xu, Christian Simon, Shoufa Chen, Jiawei Ren, Yanping Xie, Juan-Manuel Pérez-Rúa, Bodo Rosenhahn, Tao Xiang, Sen He
FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing. CoRR (2023)
Yuren Cong, Michael Ying Yang, Bodo Rosenhahn
RelTR: Relation Transformer for Scene Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Patrick Glandorf, Timo Kaiser, Bodo Rosenhahn
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization. CoRR (2023)
Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn
Q-SENN: Quantized Self-Explaining Neural Networks. CoRR (2023)
Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi
AdaCC: cumulative cost-sensitive boosting for imbalanced classification. Knowl. Inf. Syst. 65 (2) (2023)
Bodo Rosenhahn
Optimization of Sparsity-Constrained Neural Networks as a Mixed Integer Linear Program. J. Optim. Theory Appl. 199 (3) (2023)
Hendrik Hachmann, Bodo Rosenhahn
Human Spine Motion Capture using Perforated Kinesiology Tape. CoRR (2023)
Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection. CoRR (2022)
Frederik Schubert, Maren Awiszus, Bodo Rosenhahn
TOAD-GAN: A Flexible Framework for Few-Shot Level Generation in Token-Based Games. IEEE Trans. Games 14 (2) (2022)
Wentong Liao, Kai Hu, Michael Ying Yang, Bodo Rosenhahn
Text to Image Generation with Semantic-Spatial Aware GAN. CVPR (2022)
Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CVPR (2022)
Mariia Khan, Jumana M. Abu-Khalaf, David Suter, Bodo Rosenhahn
M3T: Multi-class Multi-instance Multi-view Object Tracking for Embodied AI Tasks. IVCNZ (2022)
Yuren Cong, Michael Ying Yang, Bodo Rosenhahn
RelTR: Relation Transformer for Scene Graph Generation. CoRR (2022)
Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi
AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification. CoRR (2022)
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
Constrained Mean Shift Clustering. SDM (2022)
Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning. CoRR (2022)
Lutz M. K. Krause, Emily Manderfeld, Patricia Gnutt, Louisa Vogler, Ann Wassick, Kailey Richard, Marco Rudolph, Kelli Z. Hunsucker, Geoffrey W. Swain, Bodo Rosenhahn, Axel Rosenhahn
Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure. CoRR (2022)
Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection. WACV (2022)
Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing. IJCAI (2022)
Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
Image Classification on Small Datasets via Masked Feature Mixing. CoRR (2022)
Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Ying Yang
SSGVS: Semantic Scene Graph-to-Video Synthesis. CoRR (2022)
Timo Kaiser, Lukas Ehmann, Christoph Reinders, Bodo Rosenhahn
Blind Knowledge Distillation for Robust Image Classification. CoRR (2022)
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. CVPR Workshops (2022)
Bodo Rosenhahn
Mixed Integer Linear Programming for Optimizing a Hopfield Network. ECML/PKDD (5) (2022)
Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
Contextualize Me - The Case for Context in Reinforcement Learning. CoRR (2022)
Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images. CoRR (2021)
Hendrik Hachmann, Benjamin Krüger, Bodo Rosenhahn, Waldo Nogueira
Localization of Cochlear Implant Electrodes from Cone Beam Computed Tomography using Particle Belief Propagation. CoRR (2021)
Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolinek, Bodo Rosenhahn, Roberto Henschel
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. CoRR (2021)
Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
Disentangled Lifespan Face Synthesis. CoRR (2021)
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 Int. J. Geo Inf. 10 (11) (2021)
Toon Calders, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Salvatore Ruggieri
Introduction to The Special Section on Bias and Fairness in AI. SIGKDD Explor. 23 (1) (2021)
Yuren Cong, Wentong Liao, Hanno Ackermann, Bodo Rosenhahn, Michael Ying Yang
Spatial-Temporal Transformer for Dynamic Scene Graph Generation. ICCV (2021)
Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images. CVPR (2021)
Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
Disentangled Lifespan Face Synthesis. ICCV (2021)
Hendrik Hachmann, Benjamin Krüger, Bodo Rosenhahn, Waldo Nogueira
Localization Of Cochlear Implant Electrodes From Cone Beam Computed Tomography Using Particle Belief Propagation. ISBI (2021)
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. CVPR (2021)
Wentong Liao, Cuiling Lan, Michael Ying Yang, Wenjun Zeng, Bodo Rosenhahn
Target-Tailored Source-Transformation for Scene Graph Generation. CVPR Workshops (2021)
Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
Spatial-Temporal Transformer for Dynamic Scene Graph Generation. CoRR (2021)
Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
World-GAN: a Generative Model for Minecraft Worlds. CoG (2021)
Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CoRR (2021)
Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning. CoRR (2021)
Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows. CoRR (2021)
Kai Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
Text to Image Generation with Semantic-Spatial Aware GAN. CoRR (2021)
Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. ICCV (2021)
Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection. CoRR (2021)
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. CoRR (2021)
Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows. WACV (2021)
Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild. CVPR (2021)
Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
Exploring Dynamic Context for Multi-path Trajectory Prediction. ICRA (2021)
Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows. ICCV (2021)
Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
World-GAN: a Generative Model for Minecraft Worlds. CoRR (2021)
Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer
Automatic Risk Adaptation in Distributional Reinforcement Learning. CoRR (2021)
Hao Cheng, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn, Monika Sester
AMENet: Attentive Maps Encoder Network for Trajectory Prediction. CoRR (2020)
Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
NODIS: Neural Ordinary Differential Scene Understanding. ECCV (20) (2020)
Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic. CoRR (2020)
Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
NODIS: Neural Ordinary Differential Scene Understanding. CoRR (2020)
Petrissa Zell, Bodo Rosenhahn, Bastian Wandt
Weakly-supervised Learning of Human Dynamics. CoRR (2020)
Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault
Image Captioning through Image Transformer. CoRR (2020)
Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
Temporally Consistent Horizon Lines. ICRA (2020)
Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault
Image Captioning Through Image Transformer. ACCV (4) (2020)
Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic. ITSC (2020)
Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
TOAD-GAN: Coherent Style Level Generation from a Single Example. CoRR (2020)
Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CoRR (2020)
Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda
Lifted Disjoint Paths with Application in Multiple Object Tracking. CoRR (2020)
Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild. CoRR (2020)
Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
TOAD-GAN: Coherent Style Level Generation from a Single Example. AIIDE (2020)
Petrissa Zell, Bodo Rosenhahn, Bastian Wandt
Weakly-Supervised Learning of Human Dynamics. ECCV (26) (2020)
Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows. CoRR (2020)
Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CVPR (2020)
Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn
FairNN- Conjoint Learning of Fair Representations for Fair Decisions. CoRR (2020)
Petrissa Zell, Bodo Rosenhahn
Learning inverse dynamics for human locomotion analysis. Neural Comput. Appl. 32 (15) (2020)
Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda
Lifted Disjoint Paths with Application in Multiple Object Tracking. ICML (2020)
Roberto Henschel, Timo von Marcard, Bodo Rosenhahn
Accurate Long-Term Multiple People Tracking Using Video and Body-Worn IMUs. IEEE Trans. Image Process. 29 (2020)
Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn
FairNN - Conjoint Learning of Fair Representations for Fair Decisions. DS (2020)
Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn
LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery. CoRR (2020)
Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
Exploring Dynamic Context for Multi-path Trajectory Prediction. CoRR (2020)
Tongxin Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
Exploiting Attention for Visual Relationship Detection. GCPR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bodo Rosenhahn