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ORCIDBodo Rosenhahn
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- affiliation: Leibniz Universität Hannover, Germany
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2020 – today
- 2025
[i90]Christoph Reinders, Frederik Schubert, Bodo Rosenhahn:
HydraMix: Multi-Image Feature Mixing for Small Data Image Classification. CoRR abs/2501.09504 (2025)- [i89]Melanie Schaller, Mathis Kruse, Antonio Ortega, Marius Lindauer, Bodo Rosenhahn:
AutoML for Multi-Class Anomaly Compensation of Sensor Drift. CoRR abs/2502.19180 (2025) - [i88]Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn:
QPM: Discrete Optimization for Globally Interpretable Image Classification. CoRR abs/2502.20130 (2025) - [i87]Melanie Schaller, Bodo Rosenhahn:
S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart Buildings. CoRR abs/2502.21035 (2025) - [i86]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. CoRR abs/2503.02714 (2025) - 2024
- [j46]Florian Kluger
, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn:
Robust Shape Fitting for 3D Scene Abstraction. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6306-6325 (2024) - [j45]Bin Liu, Bodo Rosenhahn, Thomas Illig, David S. DeLuca:
A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data. PLoS Comput. Biol. 20(7): 1011198 (2024) - [j44]Jan Thieß Brockmann, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt:
The voraus-AD Dataset for Anomaly Detection in Robot Applications. IEEE Trans. Robotics 40: 438-451 (2024) - [c238]Florian Kluger, Bodo Rosenhahn:
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus. AAAI 2024: 2804-2812 - [c237]Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn:
Q-SENN: Quantized Self-Explaining Neural Networks. AAAI 2024: 21482-21491 - [c236]Mathis Kruse, Marco Rudolph, Dominik Woiwode, Bodo Rosenhahn:
SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection. CVPR Workshops 2024: 3950-3960 - [c235]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. ICLR 2024 - [c234]Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn:
Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games. ICML 2024 - [c233]Mariia Khan, Yue Qiu, Yuren Cong, Bodo Rosenhahn, David Suter, Jumana Abu-Khalaf:
Indoor Scene Change Understanding (SCU): Segment, Describe, and Revert Any Change. IROS 2024: 9777-9783 - [i85]Florian Kluger, Bodo Rosenhahn:
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus. CoRR abs/2401.14919 (2024) - [i84]Bodo Rosenhahn, Christoph Hirche:
Quantum Normalizing Flows for Anomaly Detection. CoRR abs/2402.02866 (2024) - [i83]Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn:
Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games. CoRR abs/2402.03136 (2024) - [i82]Florian Kluger, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn:
Robust Shape Fitting for 3D Scene Abstraction. CoRR abs/2403.10452 (2024) - [i81]Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn:
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation. CoRR abs/2403.10780 (2024) - [i80]Tom Wehrbein, Bodo Rosenhahn, Iain A. Matthews, Carsten Stoll:
Personalized 3D Human Pose and Shape Refinement. CoRR abs/2403.11634 (2024) - [i79]Timo Kaiser, Maximilian Schier, Bodo Rosenhahn:
Cell Tracking according to Biological Needs - Strong Mitosis-aware Random-finite Sets Tracker with Aleatoric Uncertainty. CoRR abs/2403.15011 (2024) - [i78]Mathis Kruse, Marco Rudolph, Dominik Woiwode, Bodo Rosenhahn:
SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection. CoRR abs/2404.06832 (2024) - [i77]Vaibhav Vavilala, Florian Kluger, Seemandhar Jain, Bodo Rosenhahn, David A. Forsyth:
Improved Convex Decomposition with Ensembling and Boolean Primitives. CoRR abs/2405.19569 (2024) - [i76]Timo Kaiser, Vladimír Ulman, Bodo Rosenhahn:
CHOTA: A Higher Order Accuracy Metric for Cell Tracking. CoRR abs/2408.11571 (2024) - [i75]Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt:
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery. CoRR abs/2411.16289 (2024) - 2023
- [j43]Andrea Avogaro, Federico Cunico, Bodo Rosenhahn, Francesco Setti:
Markerless human pose estimation for biomedical applications: a survey. Frontiers Comput. Sci. 5 (2023) - [j42]Bodo Rosenhahn:
Optimization of Sparsity-Constrained Neural Networks as a Mixed Integer Linear Program. J. Optim. Theory Appl. 199(3): 931-954 (2023) - [j41]Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi:
AdaCC: cumulative cost-sensitive boosting for imbalanced classification. Knowl. Inf. Syst. 65(2): 789-826 (2023) - [j40]Yuren Cong, Michael Ying Yang, Bodo Rosenhahn:
RelTR: Relation Transformer for Scene Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11169-11183 (2023) - [j39]Maren Awiszus, Frederik Schubert, Bodo Rosenhahn:
Wor(l)d-GAN: Toward Natural-Language-Based PCG in Minecraft. IEEE Trans. Games 15(2): 182-192 (2023) - [j38]Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer:
Contextualize Me - The Case for Context in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j37]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) - [c232]Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Ying Yang:
SSGVS: Semantic Scene Graph-to-Video Synthesis. CVPR Workshops 2023: 2555-2565 - [c231]Timo Kaiser, Christoph Reinders, Bodo Rosenhahn:
Compensation Learning in Semantic Segmentation. CVPR Workshops 2023: 3267-3278 - [c230]Hendrik Hachmann, Bodo Rosenhahn:
Human Spine Motion Capture using Perforated Kinesiology Tape. CVPR Workshops 2023: 5149-5157 - [c229]Patrick Glandorf, Timo Kaiser, Bodo Rosenhahn:
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization. ICCV (Workshops) 2023: 1226-1235 - [c228]Tom Wehrbein, Bodo Rosenhahn, Iain A. Matthews, Carsten Stoll:
Personalized 3D Human Pose and Shape Refinement. ICCV (Workshops) 2023: 4191-4201 - [c227]Maximilian Schier, Christoph Reinders, Bodo Rosenhahn:
Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations. ICRA 2023: 7147-7153 - [c226]Maximilian Schier, Christoph Reinders, Bodo Rosenhahn:
Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning. ITSC 2023: 931-938 - [c225]Hendrik Hachmann, Bodo Rosenhahn:
Color-aware Deep Temporal Backdrop Duplex Matting System. MMSys 2023: 205-216 - [c224]Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection. WACV 2023: 2591-2601 - [i74]Yuren Cong, Martin Renqiang Min, Li Erran Li, Bodo Rosenhahn, Michael Ying Yang:
Attribute-Centric Compositional Text-to-Image Generation. CoRR abs/2301.01413 (2023) - [i73]Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn:
Take 5: Interpretable Image Classification with a Handful of Features. CoRR abs/2303.13166 (2023) - [i72]Yuren Cong, Wentong Liao, Bodo Rosenhahn, Michael Ying Yang:
Learning Similarity between Scene Graphs and Images with Transformers. CoRR abs/2304.00590 (2023) - [i71]Timo Kaiser, Christoph Reinders, Bodo Rosenhahn:
Compensation Learning in Semantic Segmentation. CoRR abs/2304.13428 (2023) - [i70]Hendrik Hachmann, Bodo Rosenhahn:
Human Spine Motion Capture using Perforated Kinesiology Tape. CoRR abs/2306.02930 (2023) - [i69]Hendrik Hachmann, Bodo Rosenhahn:
Color-aware Deep Temporal Backdrop Duplex Matting System. CoRR abs/2306.02954 (2023) - [i68]Andrea Avogaro, Federico Cunico, Bodo Rosenhahn, Francesco Setti:
Markerless human pose estimation for biomedical applications: a survey. CoRR abs/2308.00519 (2023) - [i67]Patrick Glandorf, Timo Kaiser, Bodo Rosenhahn:
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization. CoRR abs/2308.07163 (2023) - [i66]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 abs/2310.05922 (2023) - [i65]Jan Thieß Brockmann, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt:
The voraus-AD Dataset for Anomaly Detection in Robot Applications. CoRR abs/2311.04765 (2023) - [i64]Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn:
Q-SENN: Quantized Self-Explaining Neural Networks. CoRR abs/2312.13839 (2023) - 2022
- [j36]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): 284-293 (2022) - [c223]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: 4439-4448 - [c222]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: 8856-8865 - [c221]Wentong Liao, Kai Hu, Michael Ying Yang, Bodo Rosenhahn:
Text to Image Generation with Semantic-Spatial Aware GAN. CVPR 2022: 18166-18175 - [c220]Christoph Reinders, Frederik Schubert, Bodo Rosenhahn:
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing. IJCAI 2022: 1298-1305 - [c219]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: 246-261 - [c218]Bodo Rosenhahn:
Mixed Integer Linear Programming for Optimizing a Hopfield Network. ECML/PKDD (5) 2022: 344-360 - [c217]Maximilian Schier, Christoph Reinders, Bodo Rosenhahn:
Constrained Mean Shift Clustering. SDM 2022: 235-243 - [c216]Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection. WACV 2022: 1829-1838 - [i63]Yuren Cong, Michael Ying Yang, Bodo Rosenhahn:
RelTR: Relation Transformer for Scene Graph Generation. CoRR abs/2201.11460 (2022) - [i62]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 abs/2202.04500 (2022) - [i61]Christoph Reinders, Frederik Schubert, Bodo Rosenhahn:
Image Classification on Small Datasets via Masked Feature Mixing. CoRR abs/2202.11616 (2022) - [i60]Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer:
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning. CoRR abs/2205.11357 (2022) - [i59]Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi:
AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification. CoRR abs/2209.08309 (2022) - [i58]Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection. CoRR abs/2210.07829 (2022) - [i57]Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Ying Yang:
SSGVS: Semantic Scene Graph-to-Video Synthesis. CoRR abs/2211.06119 (2022) - [i56]Timo Kaiser, Lukas Ehmann, Christoph Reinders, Bodo Rosenhahn:
Blind Knowledge Distillation for Robust Image Classification. CoRR abs/2211.11355 (2022) - [i55]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 abs/2211.11607 (2022) - 2021
- [j35]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): 733 (2021) - [j34]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): 1-3 (2021) - [c215]Maren Awiszus, Frederik Schubert, Bodo Rosenhahn:
World-GAN: a Generative Model for Minecraft Worlds. CoG 2021: 1-8 - [c214]Wentong Liao, Cuiling Lan, Michael Ying Yang, Wenjun Zeng, Bodo Rosenhahn:
Target-Tailored Source-Transformation for Scene Graph Generation. CVPR Workshops 2021: 1663-1671 - [c213]Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn:
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images. CVPR 2021: 13070-13079 - [c212]Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn:
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild. CVPR 2021: 13294-13304 - [c211]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: 15049-15058 - [c210]Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Disentangled Lifespan Face Synthesis. ICCV 2021: 3857-3866 - [c209]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: 6310-6320 - [c208]Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt:
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows. ICCV 2021: 11179-11188 - [c207]Yuren Cong, Wentong Liao, Hanno Ackermann, Bodo Rosenhahn, Michael Ying Yang:
Spatial-Temporal Transformer for Dynamic Scene Graph Generation. ICCV 2021: 16352-16362 - [c206]Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
Exploring Dynamic Context for Multi-path Trajectory Prediction. ICRA 2021: 12795-12801 - [c205]Hendrik Hachmann, Benjamin Krüger, Bodo Rosenhahn, Waldo Nogueira:
Localization Of Cochlear Implant Electrodes From Cone Beam Computed Tomography Using Particle Belief Propagation. ISBI 2021: 593-597 - [c204]Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows. WACV 2021: 1906-1915 - [e11]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e10]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i54]Hendrik Hachmann, Benjamin Krüger, Bodo Rosenhahn, Waldo Nogueira:
Localization of Cochlear Implant Electrodes from Cone Beam Computed Tomography using Particle Belief Propagation. CoRR abs/2103.10434 (2021) - [i53]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 abs/2103.11897 (2021) - [i52]Kai Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
Text to Image Generation with Semantic-Spatial Aware GAN. CoRR abs/2104.00567 (2021) - [i51]Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn:
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images. CoRR abs/2105.02047 (2021) - [i50]Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer:
Automatic Risk Adaptation in Distributional Reinforcement Learning. CoRR abs/2106.06317 (2021) - [i49]Maren Awiszus, Frederik Schubert, Bodo Rosenhahn:
World-GAN: a Generative Model for Minecraft Worlds. CoRR abs/2106.10155 (2021) - [i48]Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Spatial-Temporal Transformer for Dynamic Scene Graph Generation. CoRR abs/2107.12309 (2021) - [i47]Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt:
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows. CoRR abs/2107.13788 (2021) - [i46]Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Disentangled Lifespan Face Synthesis. CoRR abs/2108.02874 (2021) - [i45]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. CoRR abs/2108.10606 (2021) - [i44]Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer:
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning. CoRR abs/2110.02102 (2021) - [i43]Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection. CoRR abs/2110.02855 (2021) - [i42]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 abs/2111.11892 (2021) - 2020
- [j33]Petrissa Zell, Bodo Rosenhahn:
Learning inverse dynamics for human locomotion analysis. Neural Comput. Appl. 32(15): 11729-11743 (2020) - [j32]Roberto Henschel, Timo von Marcard, Bodo Rosenhahn:
Accurate Long-Term Multiple People Tracking Using Video and Body-Worn IMUs. IEEE Trans. Image Process. 29: 8476-8489 (2020) - [c203]Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning Through Image Transformer. ACCV (4) 2020: 153-169 - [c202]Maren Awiszus, Frederik Schubert, Bodo Rosenhahn:
TOAD-GAN: Coherent Style Level Generation from a Single Example. AIIDE 2020: 10-16 - [c201]Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CVPR 2020: 4633-4642 - [c200]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: 581-595 - [c199]Petrissa Zell, Bodo Rosenhahn, Bastian Wandt:
Weakly-Supervised Learning of Human Dynamics. ECCV (26) 2020: 68-84 - [c198]Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
NODIS: Neural Ordinary Differential Scene Understanding. ECCV (20) 2020: 636-653 - [c197]Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda:
Lifted Disjoint Paths with Application in Multiple Object Tracking. ICML 2020: 4364-4375 - [c196]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Temporally Consistent Horizon Lines. ICRA 2020: 3161-3167 - [c195]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: 1-8 - [i41]Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CoRR abs/2001.02643 (2020) - [i40]Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
NODIS: Neural Ordinary Differential Scene Understanding. CoRR abs/2001.04735 (2020) - [i39]Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic. CoRR abs/2002.05966 (2020) - [i38]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 abs/2004.02173 (2020) - [i37]Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning through Image Transformer. CoRR abs/2004.14231 (2020) - [i36]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 abs/2005.14264 (2020) - [i35]Hao Cheng, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn, Monika Sester:
AMENet: Attentive Maps Encoder Network for Trajectory Prediction. CoRR abs/2006.08264 (2020) - [i34]Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda:
Lifted Disjoint Paths with Application in Multiple Object Tracking. CoRR abs/2006.14550 (2020) - [i33]Petrissa Zell, Bodo Rosenhahn, Bastian Wandt:
Weakly-supervised Learning of Human Dynamics. CoRR abs/2007.08969 (2020) - [i32]Maren Awiszus, Frederik Schubert, Bodo Rosenhahn:
TOAD-GAN: Coherent Style Level Generation from a Single Example. CoRR abs/2008.01531 (2020) - [i31]Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows. CoRR abs/2008.12577 (2020) - [i30]Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
Exploring Dynamic Context for Multi-path Trajectory Prediction. CoRR abs/2010.16267 (2020) - [i29]Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn:
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild. CoRR abs/2011.14679 (2020)
2010 – 2019
- 2019
- [j31]Sukhpreet Kaur Khangura, Markus Fidler, Bodo Rosenhahn:
Machine learning for measurement-based bandwidth estimation. Comput. Commun. 144: 18-30 (2019) - [j30]Matthias Reso, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann:
Occlusion-Aware Method for Temporally Consistent Superpixels. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1441-1454 (2019) - [c194]Wentong Liao, Bodo Rosenhahn, Ling Shuai, Michael Ying Yang:
Natural Language Guided Visual Relationship Detection. CVPR Workshops 2019: 444-453 - [c193]Roberto Henschel, Yunzhe Zou, Bodo Rosenhahn:
Multiple People Tracking Using Body and Joint Detections. CVPR Workshops 2019: 770-779 - [c192]Roberto Henschel, Timo von Marcard, Bodo Rosenhahn:
Simultaneous Identification and Tracking of Multiple People Using Video and IMUs. CVPR Workshops 2019: 780-789 - [c191]Bastian Wandt, Bodo Rosenhahn:
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation. CVPR 2019: 7782-7791 - [c190]Tongxin Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
Exploiting Attention for Visual Relationship Detection. GCPR 2019: 331-344 - [c189]Deyao Zhu, Marco Munderloh, Bodo Rosenhahn, Jörg Stückler:
Learning to Disentangle Latent Physical Factors for Video Prediction. GCPR 2019: 595-608 - [c188]Maren Awiszus, Hanno Ackermann, Bodo Rosenhahn:
Learning Disentangled Representations via Independent Subspaces. ICCV Workshops 2019: 560-568 - [c187]Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Structuring Autoencoders. ICCV Workshops 2019: 615-623 - [i28]Bastian Wandt, Bodo Rosenhahn:
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation. CoRR abs/1902.09868 (2019) - [i27]Wentong Liao, Cuiling Lan, Wenjun Zeng, Michael Ying Yang, Bodo Rosenhahn:
Exploring the Semantics for Visual Relationship Detection. CoRR abs/1904.02104 (2019) - [i26]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Temporally Consistent Horizon Lines. CoRR abs/1907.10014 (2019) - [i25]Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Structuring Autoencoders. CoRR abs/1908.02626 (2019) - [i24]Maren Awiszus, Hanno Ackermann, Bodo Rosenhahn:
Learning Disentangled Representations via Independent Subspaces. CoRR abs/1908.08989 (2019) - [i23]Christoph Reinders, Bodo Rosenhahn:
Neural Random Forest Imitation. CoRR abs/1911.10829 (2019) - 2018
- [j29]Hendrik Hachmann, Maren Awiszus, Bodo Rosenhahn:
3D braid guide hair reconstruction using electroluminescent wires. Vis. Comput. 34(6-8): 793-804 (2018) - [c186]Florian Kluger, Christoph Reinders, Kevin Raetz, Philipp Schelske, Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn:
Region-based Cycle-Consistent Data Augmentation for Object Detection. IEEE BigData 2018: 5205-5211 - [c185]Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn:
Fusion of Head and Full-Body Detectors for Multi-Object Tracking. CVPR Workshops 2018: 1428-1437 - [c184]Maren Awiszus, Bodo Rosenhahn:
Markov Chain Neural Networks. CVPR Workshops 2018: 2180-2187 - [c183]Bastian Wandt, Thorsten Laude, Bodo Rosenhahn, Jörn Ostermann:
Detail-Aware Image Decomposition for an HEVC-Based Texture Synthesis Framework. DCC 2018: 430 - [c182]Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn:
A Kinematic Chain Space for Monocular Motion Capture. ECCV Workshops (4) 2018: 31-47 - [c181]Timo von Marcard, Roberto Henschel, Michael J. Black, Bodo Rosenhahn, Gerard Pons-Moll:
Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera. ECCV (10) 2018: 614-631 - [c180]Michael Ying Yang, Wentong Liao, Xinbo Li, Bodo Rosenhahn:
Deep Learning for Vehicle Detection in Aerial Images. ICIP 2018: 3079-3083 - [c179]Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Object Recognition from very few Training Examples for Enhancing Bicycle Maps. Intelligent Vehicles Symposium 2018: 1-8 - [c178]Sukhpreet Kaur Khangura, Markus Fidler, Bodo Rosenhahn:
Neural Networks for Measurement-based Bandwidth Estimation. Networking 2018: 460-468 - [c177]Bastian Wandt, Thorsten Laude, Bodo Rosenhahn, Jörn Ostermann:
Extending HEVC with a Texture Synthesis Framework using Detail-aware Image Decomposition. PCS 2018: 144-148 - [c176]Holger Meuel, Hanno Ackermann, Bodo Rosenhahn, Jörn Ostermann:
Physical High Dynamic Range Imaging with Conventional Sensors. PCS 2018: 209-213 - [i22]Michael Ying Yang, Wentong Liao, Xinbo Li, Bodo Rosenhahn:
Vehicle Detection in Aerial Images. CoRR abs/1801.07339 (2018) - [i21]Wentong Liao, Michael Ying Yang, Ni Zhan, Bodo Rosenhahn:
Triplet-based Deep Similarity Learning for Person Re-Identification. CoRR abs/1802.03254 (2018) - [i20]Michael Ying Yang, Wentong Liao, Yanpeng Cao, Bodo Rosenhahn:
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models. CoRR abs/1802.03257 (2018) - [i19]Oliver Müller, Michael Ying Yang, Bodo Rosenhahn:
Slice Sampling Particle Belief Propagation. CoRR abs/1802.03275 (2018) - [i18]Michael Ying Yang, Matthias Reso, Jun Tang, Wentong Liao, Bodo Rosenhahn:
Temporally Object-based Video Co-Segmentation. CoRR abs/1802.03279 (2018) - [i17]Maren Awiszus, Bodo Rosenhahn:
Markov Chain Neural Networks. CoRR abs/1805.00784 (2018) - [i16]Michael Ying Yang, Wentong Liao, Chun Yang, Yanpeng Cao, Bodo Rosenhahn:
Security Event Recognition for Visual Surveillance. CoRR abs/1810.11348 (2018) - 2017
- [j28]Timo von Marcard, Bodo Rosenhahn, Michael J. Black, Gerard Pons-Moll:
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs. Comput. Graph. Forum 36(2): 349-360 (2017) - [c175]Hanno Ackermann, Bodo Rosenhahn, Michael Ying Yang:
Unbiased Sparse Subspace Clustering by Selective Pursuit. CRV 2017: 1-7 - [c174]Petrissa Zell, Bastian Wandt, Bodo Rosenhahn:
Joint 3D Human Motion Capture and Physical Analysis from Monocular Videos. CVPR Workshops 2017: 17-26 - [c173]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection. GCPR 2017: 17-28 - [c172]Thiemo Alldieck, Marc Kassubeck, Bastian Wandt, Bodo Rosenhahn, Marcus A. Magnor:
Optical Flow-Based 3D Human Motion Estimation from Monocular Video. GCPR 2017: 347-360 - [c171]Wentong Liao, Michael Ying Yang, Ni Zhan, Bodo Rosenhahn:
Triplet-Based Deep Similarity Learning for Person Re-Identification. ICCV Workshops 2017: 385-393 - [c170]Petrissa Zell, Bodo Rosenhahn:
Learning-Based Inverse Dynamics of Human Motion. ICCV Workshops 2017: 842-850 - [c169]Andrey Bushnevskiy, Lorenzo Sorgi, Bodo Rosenhahn:
Feature Points Densification and Refinement. ICIAP (1) 2017: 530-538 - [c168]Tim Berthold, Artem Leichter, Bodo Rosenhahn, Volker Berkhahn, Jennifer Valerius:
Seabed sediment classification of side-scan sonar data using convolutional neural networks. SSCI 2017: 1-8 - [c167]Bastian Wandt, Thorsten Laude, Yiqun Liu, Bodo Rosenhahn, Jörn Ostermann:
Extending HEVC using texture synthesis. VCIP 2017: 1-4 - [c166]Oliver Müller, Bodo Rosenhahn:
Global Consistency Priors for Joint Part-Based Object Tracking and Image Segmentation. WACV 2017: 436-444 - [i15]Michael Ying Yang, Hanno Ackermann, Weiyao Lin, Sitong Feng, Bodo Rosenhahn:
Motion Segmentation via Global and Local Sparse Subspace Optimization. CoRR abs/1701.06944 (2017) - [i14]Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn:
A Kinematic Chain Space for Monocular Motion Capture. CoRR abs/1702.00186 (2017) - [i13]Timo von Marcard, Bodo Rosenhahn, Michael J. Black, Gerard Pons-Moll:
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs. CoRR abs/1703.08014 (2017) - [i12]Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn:
Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking. CoRR abs/1705.08314 (2017) - [i11]Dário Augusto Borges Oliveira, Laura Leal-Taixé, Raul Queiroz Feitosa, Bodo Rosenhahn:
Automatic tracking of vessel-like structures from a single starting point. CoRR abs/1706.02434 (2017) - [i10]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection. CoRR abs/1707.02427 (2017) - [i9]Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Learning a Fully Convolutional Network for Object Recognition using very few Data. CoRR abs/1709.05910 (2017) - [i8]Wentong Liao, Shuai Lin, Bodo Rosenhahn, Michael Ying Yang:
Natural Language Guided Visual Relationship Detection. CoRR abs/1711.06032 (2017) - 2016
- [j27]Dário Augusto Borges Oliveira, Laura Leal-Taixé, Raul Queiroz Feitosa, Bodo Rosenhahn:
Automatic tracking of vessel-like structures from a single starting point. Comput. Medical Imaging Graph. 47: 1-15 (2016) - [j26]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Alzheimer's disease detection via automatic 3D caudate nucleus segmentation using coupled dictionary learning with level set formulation. Comput. Methods Programs Biomed. 137: 329-339 (2016) - [j25]Florian Baumann, Arne Ehlers, Bodo Rosenhahn, Jie Liao:
Recognizing human actions using novel space-time volume binary patterns. Neurocomputing 173: 54-63 (2016) - [j24]Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn:
3D Reconstruction of Human Motion from Monocular Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1505-1516 (2016) - [j23]Timo von Marcard, Gerard Pons-Moll, Bodo Rosenhahn:
Human Pose Estimation from Video and IMUs. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1533-1547 (2016) - [j22]Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz Hidalgo, Bodo Rosenhahn:
Antipodally Invariant Metrics for Fast Regression-Based Super-Resolution. IEEE Trans. Image Process. 25(6): 2456-2468 (2016) - [j21]Renhong Wang, Bodo Rosenhahn, Xiaonan Luo:
Editorial. Vis. Comput. 32(9): 1069-1070 (2016) - [c165]Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal:
Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach. AAAI 2016: 3523-3529 - [c164]Leonid German, Jens R. Ziehn, Bodo Rosenhahn:
Rapid Analytic Optimization of Quadratic ICP Algorithms. ACCV Workshops (3) 2016: 61-75 - [c163]Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz Hidalgo, Bodo Rosenhahn:
PSyCo: Manifold Span Reduction for Super Resolution. CVPR 2016: 1837-1845 - [c162]Andrey Bushnevskiy, Lorenzo Sorgi, Bodo Rosenhahn:
Multicamera Calibration from Visible and Mirrored Epipoles. CVPR 2016: 3373-3381 - [c161]Andrey Bushnevskiy, Lorenzo Sorgi, Bodo Rosenhahn:
Multimode camera calibration. ICIP 2016: 1165-1169 - [c160]Michael Ying Yang, Saif Dawood Salman Al-Shaikhli, Tao Jiang, Yanpeng Cao, Bodo Rosenhahn:
Bi-layer dictionary learning for remote sensing image classification. IGARSS 2016: 3059-3062 - [c159]Jens R. Ziehn, Miriam Ruf, Dieter Willersinn, Bodo Rosenhahn, Jürgen Beyerer, Heinrich Gotzig:
A tractable interaction model for trajectory planning in automated driving. ITSC 2016: 1410-1417 - [c158]Holger Meuel, Luis Angerstein, Roberto Henschel, Bodo Rosenhahn, Jörn Ostermann:
Moving object tracking for aerial video coding using linear motion prediction and block matching. PCS 2016: 1-5 - [c157]Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz Hidalgo, Bodo Rosenhahn:
Half hypersphere confinement for piecewise linear regression. WACV 2016: 1-9 - [e9]Bodo Rosenhahn, Bjoern Andres:
Pattern Recognition - 38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings. Lecture Notes in Computer Science 9796, Springer 2016, ISBN 978-3-319-45885-4 [contents] - [i7]Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn, Konrad Schindler:
Tracking with multi-level features. CoRR abs/1607.07304 (2016) - [i6]Wentong Liao, Michael Ying Yang, Hanno Ackermann, Bodo Rosenhahn:
On Support Relations and Semantic Scene Graphs. CoRR abs/1609.05834 (2016) - 2015
- [j20]Roman Grothausmann, Manuela Kellner, Marko Heidrich, Raoul-Amadeus Lorbeer, Tammo Ripken, Heiko Meyer, Mark P. Kuehnel, Matthias Ochs, Bodo Rosenhahn:
Method for 3D Airway Topology Extraction. Comput. Math. Methods Medicine 2015: 127010:1-127010:7 (2015) - [j19]Xuanzi Yong, Michael Ying Yang, Yanpeng Cao, Bodo Rosenhahn:
Descriptor evaluation and feature regression for multimodal image analysis. Mach. Vis. Appl. 26(7-8): 975-990 (2015) - [c156]Christoph Reinders, Florian Baumann, Björn Scheuermann, Arne Ehlers, Nicole Mühlpforte, Alfred Effenberg, Bodo Rosenhahn:
On-The-Fly Handwriting Recognition Using a High-Level Representation. CAIP (1) 2015: 1-13 - [c155]Florian Baumann, Jinghui Chen, Karsten Vogt, Bodo Rosenhahn:
Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers. CRV 2015: 155-160 - [c154]Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn:
3D human motion capture from monocular image sequences. CVPR Workshops 2015: 1-8 - [c153]Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal:
Expanding object detector's Horizon: Incremental learning framework for object detection in videos. CVPR 2015: 28-36 - [c152]Petrissa Zell, Bodo Rosenhahn:
A Physics-Based Statistical Model for Human Gait Analysis. GCPR 2015: 169-180 - [c151]Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz Hidalgo, Bodo Rosenhahn:
Accelerating Super-Resolution for 4K upscaling. ICCE 2015: 317-320 - [c150]Wentong Liao, Bodo Rosenhahn, Michael Ying Yang:
Video Event Recognition by Combining HDP and Gaussian Process. ICCV Workshops 2015: 166-174 - [c149]Matthias Reso, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann:
Fast label propagation for real-time superpixels for video content. ICIP 2015: 902-906 - [c148]Michael Ying Yang, Wentong Liao, Bodo Rosenhahn, Zheng Zhang:
Hyperspectral image classification using Gaussian process models. IGARSS 2015: 1717-1720 - [c147]Michael Ying Yang, Tao Jiang, Saif Dawood Salman Al-Shaikhli, Bodo Rosenhahn:
A novel dictionary learning method for remote sensing image classification. IGARSS 2015: 4364-4367 - [c146]Michael Ying Yang, Matthias Reso, Jun Tang, Wentong Liao, Bodo Rosenhahn:
Temporally Object-Based Video Co-segmentation. ISVC (1) 2015: 198-209 - [c145]Miriam Ruf, Jens R. Ziehn, Dieter Willersinn, Bodo Rosenhahn, Jürgen Beyerer, Heinrich Gotzig:
Global Trajectory Optimization on Multilane Roads. ITSC 2015: 1908-1914 - [c144]Jens R. Ziehn, Miriam Ruf, Bodo Rosenhahn, Dieter Willersinn, Jürgen Beyerer, Heinrich Gotzig:
Correspondence between variational methods and Hidden Markov Models. Intelligent Vehicles Symposium 2015: 380-385 - [c143]Wentong Liao, Jun Tang, Bodo Rosenhahn, Michael Ying Yang:
Integration of Gaussian process and MRF for hyperspectral image classification. JURSE 2015: 1-4 - [c142]Kai Cordes, Mark Hockner, Hanno Ackermann, Bodo Rosenhahn, Jörn Ostermann:
WM-SBA: Weighted multibody sparse bundle adjustment. MVA 2015: 162-165 - [c141]Florian Baumann, Karsten Vogt, Arne Ehlers, Bodo Rosenhahn:
Probabilistic nodes for modelling classification uncertainty for random forest. MVA 2015: 510-513 - [c140]Erik Soltow, Bodo Rosenhahn:
Automatic Pose Estimation Using Contour Information from X-Ray Images. PSIVT Workshops 2015: 246-257 - [c139]Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn:
Solving Multiple People Tracking in a Minimum Cost Arborescence. WACV Workshops 2015: 71-72 - [c138]Michael Ying Yang, Yu Qiang, Bodo Rosenhahn:
A Global-to-Local Framework for Infrared and Visible Image Sequence Registration. WACV 2015: 381-388 - [c137]Florian Baumann, Arne Ehlers, Bodo Rosenhahn, Wei Liu:
Sequential Boosting for Learning a Random Forest Classifier. WACV 2015: 442-447 - [p3]Stefanie Wuhrer, Leonid German, Bodo Rosenhahn:
Statistical Human Body Modeling. Digital Representations of the Real World 2015: 211-223 - [i5]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Automatic 3D Liver Segmentation Using Sparse Representation of Global and Local Image Information via Level Set Formulation. CoRR abs/1508.01521 (2015) - [i4]Jiri Matas, Vittorio Murino, Bodo Rosenhahn, Laura Leal-Taixé:
Holistic Scene Understanding (Dagstuhl Seminar 15081). Dagstuhl Reports 5(2): 80-108 (2015) - 2014
- [j18]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Multi-region labeling and segmentation using a graph topology prior and atlas information in brain images. Comput. Medical Imaging Graph. 38(8): 725-734 (2014) - [j17]Björn Scheuermann, Bodo Rosenhahn:
Multi-Sensor Fusion for Video Segmentation. Int. J. Pattern Recognit. Artif. Intell. 28(7) (2014) - [j16]Muhammad Shoaib, Michael Ying Yang, Bodo Rosenhahn, Jörn Ostermann:
Estimating layout of cluttered indoor scenes using trajectory-based priors. Image Vis. Comput. 32(11): 870-883 (2014) - [c136]Eduardo Pérez-Pellitero, Jordi Salvador, Iban Torres-Xirau, Javier Ruiz Hidalgo, Bodo Rosenhahn:
Fast Super-Resolution via Dense Local Training and Inverse Regressor Search. ACCV (3) 2014: 346-359 - [c135]Michael Ying Yang, Sitong Feng, Bodo Rosenhahn:
Sparse Optimization for Motion Segmentation. ACCV Workshops (2) 2014: 375-389 - [c134]Matthias Reso, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann:
Superpixels for Video Content Using a Contour-Based EM Optimization. ACCV (4) 2014: 692-707 - [c133]Florian Baumann, Arne Ehlers, Bodo Rosenhahn, Jie Liao:
Computation strategies for volume local binary patterns applied to action recognition. AVSS 2014: 68-73 - [c132]Kai Cordes, Bodo Rosenhahn, Jörn Ostermann:
Localization accuracy of interest point detectors with different scale space representations. AVSS 2014: 247-252 - [c131]Michael Ying Yang, Xuanzi Yong, Bodo Rosenhahn:
Feature Regression for Multimodal Image Analysis. CVPR Workshops 2014: 770-777 - [c130]Gerard Pons-Moll, David J. Fleet, Bodo Rosenhahn:
Posebits for Monocular Human Pose Estimation. CVPR 2014: 2345-2352 - [c129]Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese:
Learning an Image-Based Motion Context for Multiple People Tracking. CVPR 2014: 3542-3549 - [c128]Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn:
Efficient Multiple People Tracking Using Minimum Cost Arborescences. GCPR 2014: 265-276 - [c127]Alina Kuznetsova, Bodo Rosenhahn:
On Calibration of a Low-Cost Time-of-Flight Camera. ECCV Workshops (1) 2014: 415-427 - [c126]Hanno Ackermann, Björn Scheuermann, Tat-Jun Chin, Bodo Rosenhahn:
Randomly Walking Can Get You Lost: Graph Segmentation with Unknown Edge Weights. EMMCVPR 2014: 450-463 - [c125]Florian Baumann, Irina Schulz, Bodo Rosenhahn:
Multi-sensor Acceleration-Based Action Recognition. ICIAR (2) 2014: 48-57 - [c124]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Brain tumor classification using sparse coding and dictionary learning. ICIP 2014: 2774-2778 - [c123]Florian Baumann, Jie Lao, Arne Ehlers, Bodo Rosenhahn:
Motion Binary Patterns for Action Recognition. ICPRAM 2014: 385-392 - [c122]Florian Baumann, Fangda Li, Arne Ehlers, Bodo Rosenhahn:
Thresholding a Random Forest Classifier. ISVC (2) 2014: 95-106 - [c121]Matthias Reso, Björn Scheuermann, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann:
Interactive Segmentation of High-Resolution Video Content Using Temporally Coherent Superpixels and Graph Cut. ISVC (1) 2014: 281-292 - [c120]Arne Ehlers, Florian Baumann, Bodo Rosenhahn:
Boosted Fractal Integral Paths for Object Detection. ISVC (2) 2014: 458-470 - [c119]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Coupled Dictionary Learning for Automatic Multi-Label Brain Tumor Segmentation in Flair MRI images. ISVC (1) 2014: 489-500 - [c118]Michael Ying Yang, Bodo Rosenhahn:
Video segmentation with joint object and trajectory labeling. WACV 2014: 831-838 - 2013
- [c117]Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz Hidalgo, Bodo Rosenhahn:
Bayesian region selection for adaptive dictionary-based Super-Resolution. BMVC 2013 - [c116]Kai Cordes, Bodo Rosenhahn, Jörn Ostermann:
High-Resolution Feature Evaluation Benchmark. CAIP (1) 2013: 327-334 - [c115]Björn Scheuermann, Sotirios Gkoutelitsas, Bodo Rosenhahn:
Multi-sensor Fusion Using Dempster's Theory of Evidence for Video Segmentation. CIARP (2) 2013: 431-438 - [c114]Arne Ehlers, Björn Scheuermann, Florian Baumann, Bodo Rosenhahn:
Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors. CIARP (1) 2013: 456-463 - [c113]Michele Fenzi, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann:
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories. CVPR 2013: 755-762 - [c112]Christian Cordes, Hanno Ackermann, Bodo Rosenhahn:
A Low-Rank Constraint for Parallel Stereo Cameras. GCPR 2013: 31-40 - [c111]Alina Kuznetsova, Nikolaus F. Troje, Bodo Rosenhahn:
A Statistical Model for Coupled Human Shape and Motion Synthesis. GRAPP/IVAPP 2013: 227-236 - [c110]Matthias Reso, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann:
Temporally Consistent Superpixels. ICCV 2013: 385-392 - [c109]Oliver Müller, Michael Ying Yang, Bodo Rosenhahn:
Slice Sampling Particle Belief Propagation. ICCV 2013: 1129-1136 - [c108]Alina Kuznetsova, Laura Leal-Taixé, Bodo Rosenhahn:
Real-Time Sign Language Recognition Using a Consumer Depth Camera. ICCV Workshops 2013: 83-90 - [c107]Alina Kuznetsova, Bodo Rosenhahn:
Hand Pose Estimation from a Single RGB-D Image. ISVC (2) 2013: 592-602 - [c106]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Medical Image Segmentation Using Multi-level Set Partitioning with Topological Graph Prior. PSIVT Workshops 2013: 157-168 - [c105]Florian Baumann, Arne Ehlers, Karsten Vogt, Bodo Rosenhahn:
Cascaded Random Forest for Fast Object Detection. SCIA 2013: 131-142 - [c104]Arne Ehlers, Florian Baumann, Bodo Rosenhahn:
Exploiting Object Characteristics Using Custom Features for Boosting-Based Classification. SCIA 2013: 420-431 - [c103]Oliver Jakob Arndt, Björn Scheuermann, Bodo Rosenhahn:
"RegionCut" - Interactive multi-label segmentation utilizing cellular automaton. WACV 2013: 309-316 - [p2]Laura Leal-Taixé, Bodo Rosenhahn:
Pedestrian Interaction in Tracking: The Social Force Model and Global Optimization Methods. Modeling, Simulation and Visual Analysis of Crowds 2013: 267-294 - 2012
- [j15]Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert:
Region-based pose tracking with occlusions using 3D models. Mach. Vis. Appl. 23(3): 557-577 (2012) - [c102]Hanno Ackermann, Bodo Rosenhahn:
Non-rigid Self-calibration of a Projective Camera. ACCV (4) 2012: 177-190 - [c101]Kai Cordes, Björn Scheuermann, Bodo Rosenhahn, Jörn Ostermann:
Learning Object Appearance from Occlusions Using Structure and Motion Recovery. ACCV (3) 2012: 611-623 - [c100]Björn Scheuermann, Markus Schlosser, Bodo Rosenhahn:
Efficient Pixel-Grouping Based on Dempster's Theory of Evidence for Image Segmentation. ACCV (1) 2012: 745-759 - [c99]Laura Leal-Taixé, Gerard Pons-Moll, Bodo Rosenhahn:
Branch-and-price global optimization for multi-view multi-target tracking. CVPR 2012: 1987-1994 - [c98]Michele Fenzi, Ralf Dragon, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann:
3D Object Recognition and Pose Estimation for Multiple Objects Using Multi-Prioritized RANSAC and Model Updating. DAGM/OAGM Symposium 2012: 123-133 - [c97]Alina Kuznetsova, Gerard Pons-Moll, Bodo Rosenhahn:
PCA-Enhanced Stochastic Optimization Methods. DAGM/OAGM Symposium 2012: 377-386 - [c96]Ralf Dragon, Bodo Rosenhahn, Jörn Ostermann:
Multi-scale Clustering of Frame-to-Frame Correspondences for Motion Segmentation. ECCV (2) 2012: 445-458 - [c95]Oliver Müller, Sabine Donner, Tobias Klinder, Ivonne Bartsch, Alexander Krüger, Alexander Heisterkamp, Bodo Rosenhahn:
Compensating Motion Artifacts of 3D in vivo SD-OCT Scans. MICCAI (1) 2012: 198-205 - [c94]Kai Cordes, Björn Scheuermann, Bodo Rosenhahn, Jörn Ostermann:
Occlusion Handling for the Integration of Virtual Objects into Video. VISAPP (2) 2012: 173-180 - [c93]Kai Cordes, Björn Scheuermann, Bodo Rosenhahn, Jörn Ostermann:
Foreground Segmentation from Occlusions Using Structure and Motion Recovery. VISIGRAPP (Selected Papers) 2012: 340-353 - [e8]Frank Dellaert, Jan-Michael Frahm, Marc Pollefeys, Laura Leal-Taixé, Bodo Rosenhahn:
Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers. Lecture Notes in Computer Science 7474, Springer 2012, ISBN 978-3-642-34090-1 [contents] - 2011
- [c92]Arne Ehlers, Florian Baumann, Ralf Spindler, Birgit Glasmacher, Bodo Rosenhahn:
PCA Enhanced Training Data for Adaboost. CAIP (1) 2011: 410-419 - [c91]Hanno Ackermann, Bodo Rosenhahn:
Projective Reconstruction from Incomplete Trajectories by Global and Local Constraints. CVMP 2011: 77-86 - [c90]Björn Scheuermann, Arne Ehlers, H. Riazy, Florian Baumann, Bodo Rosenhahn:
Ego-motion compensated face detection on a mobile device. CVPR Workshops 2011: 66-71 - [c89]Jan Dirk Wegner, Bodo Rosenhahn, Uwe Soergel:
Implicit Scene Context for Object Segmentation and Classification. DAGM-Symposium 2011: 31-40 - [c88]Frank R. Schmidt, Hanno Ackermann, Bodo Rosenhahn:
Multilinear Model Estimation with L 2-Regularization. DAGM-Symposium 2011: 81-90 - [c87]Ralf Dragon, Tobias Mörke, Bodo Rosenhahn, Jörn Ostermann:
Fingerprints for Machines - Characterization and Optical Identification of Grinding Imprints. DAGM-Symposium 2011: 276-285 - [c86]Gerard Pons-Moll, Laura Leal-Taixé, Tri Truong, Bodo Rosenhahn:
Efficient and Robust Shape Matching for Model Based Human Motion Capture. DAGM-Symposium 2011: 416-425 - [c85]Björn Scheuermann, Bodo Rosenhahn:
SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction. EMMCVPR 2011: 219-232 - [c84]Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laura Leal-Taixé, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn:
Outdoor human motion capture using inverse kinematics and von mises-fisher sampling. ICCV 2011: 1243-1250 - [c83]Laura Leal-Taixé, Gerard Pons-Moll, Bodo Rosenhahn:
Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker. ICCV Workshops 2011: 120-127 - [c82]Kai Cordes, Oliver Topic, Manuel Scherer, Carsten Klempt, Bodo Rosenhahn, Jörn Ostermann:
Classification of Atomic Density Distributions Using Scale Invariant Blob Localization. ICIAR (1) 2011: 161-172 - [c81]Kai Cordes, Oliver Müller, Bodo Rosenhahn, Jörn Ostermann:
Feature Trajectory Retrieval with Application to Accurate Structure and Motion Recovery. ISVC (1) 2011: 156-167 - [c80]Cristina Nader Vasconcelos, Bodo Rosenhahn:
Bipartite Graph Matching on GPU over Complete or Local Grid Neighborhoods. IWANN (1) 2011: 425-432 - [c79]Jan Dirk Wegner, Uwe Soergel, Bodo Rosenhahn:
Segment-based building detection with conditional random fields. JURSE 2011: 205-208 - [c78]Oliver Müller, Sabine Donner, Tobias Klinder, Ralf Dragon, Ivonne Bartsch, Frank Witte, Alexander Krüger, Alexander Heisterkamp, Bodo Rosenhahn:
Model Based 3D Segmentation and OCT Image Undistortion of Percutaneous Implants. MICCAI (3) 2011: 454-462 - [c77]Björn Scheuermann, Bodo Rosenhahn:
Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence. SCIA 2011: 656-665 - [c76]Kai Cordes, Bodo Rosenhahn, Jörn Ostermann:
Increasing the accuracy of feature evaluation benchmarks using differential evolution. SDE 2011: 104-111 - [c75]Laura Leal-Taixé, Gerard Pons-Moll, Bodo Rosenhahn:
Exploiting Pedestrian Interaction via Global Optimization and Social Behaviors. Theoretical Foundations of Computer Vision 2011: 1-26 - [c74]Ralf Dragon, Michele Fenzi, Wolf Siberski, Bodo Rosenhahn, Jörn Ostermann:
Towards Feature-Based Situation Assessment for Airport Apron Video Surveillance. Theoretical Foundations of Computer Vision 2011: 110-130 - [c73]Jan Dirk Wegner, Bodo Rosenhahn, Uwe Sörgel:
Segmentation and Classification of Objects with Implicit Scene Context. Theoretical Foundations of Computer Vision 2011: 264-284 - [c72]Gerard Pons-Moll, Laura Leal-Taixé, Juergen Gall, Bodo Rosenhahn:
Data-Driven Manifolds for Outdoor Motion Capture. Theoretical Foundations of Computer Vision 2011: 305-328 - [p1]Gerard Pons-Moll, Bodo Rosenhahn:
Model-Based Pose Estimation. Visual Analysis of Humans 2011: 139-170 - [i3]Frank Dellaert, Jan-Michael Frahm, Marc Pollefeys, Bodo Rosenhahn:
Outdoor and Large-Scale Real-World Scene Analysis. 15th Workshop Theoretic Foundations of Computer Vision (Dagstuhl Seminar 11261). Dagstuhl Reports 1(6): 54-80 (2011) - 2010
- [j14]Marcus A. Magnor, Bodo Rosenhahn, Holger Theisel:
Foreword. Comput. Graph. 34(5): 565-566 (2010) - [j13]Juergen Gall, Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel:
Optimization and Filtering for Human Motion Capture. Int. J. Comput. Vis. 87(1-2): 75-92 (2010) - [j12]Thomas Brox, Bodo Rosenhahn, Juergen Gall, Daniel Cremers:
Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 402-415 (2010) - [c71]Björn Scheuermann, Bodo Rosenhahn:
Feature Quarrels: The Dempster-Shafer Evidence Theory for Image Segmentation Using a Variational Framework. ACCV (2) 2010: 426-439 - [c70]Hanno Ackermann, Bodo Rosenhahn:
A Linear Solution to 1-Dimensional Subspace Fitting under Incomplete Data. ACCV (2) 2010: 464-476 - [c69]Gerard Pons-Moll, Andreas Baak, Thomas Helten, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn:
Multisensor-fusion for 3D full-body human motion capture. CVPR 2010: 663-670 - [c68]Nils Hasler, Hanno Ackermann, Bodo Rosenhahn, Thorsten Thormählen, Hans-Peter Seidel:
Multilinear pose and body shape estimation of dressed subjects from image sets. CVPR 2010: 1823-1830 - [c67]Laura Leal-Taixé, Matthias Heydt, Sebastian Weiße, Axel Rosenhahn, Bodo Rosenhahn:
Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data. DAGM-Symposium 2010: 283-292 - [c66]Tobias Feldmann, Björn Scheuermann, Bodo Rosenhahn, Annika Wörner:
N-View Human Silhouette Segmentation in Cluttered, Partially Changing Environments , . DAGM-Symposium 2010: 363-372 - [c65]Laura Leal-Taixé, Matthias Heydt, Axel Rosenhahn, Bodo Rosenhahn:
Understanding What we Cannot See: Automatic Analysis of 4D Digital In-Line Holographic Microscopy Data. Video Processing and Computational Video 2010: 52-76 - [c64]Ralf Dragon, Muhammad Shoaib, Bodo Rosenhahn, Jörn Ostermann:
NF-Features - No-Feature-Features for Representing Non-textured Regions. ECCV (2) 2010: 128-141 - [c63]Andreas Baak, Thomas Helten, Meinard Müller, Gerard Pons-Moll, Bodo Rosenhahn, Hans-Peter Seidel:
Analyzing and Evaluating Markerless Motion Tracking Using Inertial Sensors. ECCV Workshops (1) 2010: 139-152 - [c62]Kai Cordes, Oliver Müller, Bodo Rosenhahn, Jörn Ostermann:
Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape. ISVC (1) 2010: 264-275 - [c61]Florian Baumann, Katharina Ernst, Arne Ehlers, Bodo Rosenhahn:
Symmetry Enhanced Adaboost. ISVC (1) 2010: 286-295 - [c60]Christina Gackstatter, Patrick Heinemann, Sven Thomas, Bodo Rosenhahn, Gudrun Klinker:
Fusion of clothoid segments for a more accurate and updated prediction of the road geometry. ITSC 2010: 1691-1696 - [c59]Nils Hasler, Thorsten Thormählen, Bodo Rosenhahn, Hans-Peter Seidel:
Learning skeletons for shape and pose. SI3D 2010: 23-30
2000 – 2009
- 2009
- [j11]Nils Hasler, Carsten Stoll, Bodo Rosenhahn, Thorsten Thormählen, Hans-Peter Seidel:
Estimating body shape of dressed humans. Comput. Graph. 33(3): 211-216 (2009) - [j10]Nils Hasler, Carsten Stoll, Martin Sunkel, Bodo Rosenhahn, Hans-Peter Seidel:
A Statistical Model of Human Pose and Body Shape. Comput. Graph. Forum 28(2): 337-346 (2009) - [c58]Kai Cordes, Oliver Müller, Bodo Rosenhahn, Jörn Ostermann:
HALF-SIFT: High-Accurate Localized Features for SIFT. CVPR Workshops 2009: 31-38 - [c57]Nils Hasler, Bodo Rosenhahn, Thorsten Thormählen, Michael Wand, Juergen Gall, Hans-Peter Seidel:
Markerless Motion Capture with unsynchronized moving cameras. CVPR 2009: 224-231 - [c56]Juergen Gall, Carsten Stoll, Edilson de Aguiar, Christian Theobalt, Bodo Rosenhahn, Hans-Peter Seidel:
Motion capture using joint skeleton tracking and surface estimation. CVPR 2009: 1746-1753 - [c55]Hanno Ackermann, Bodo Rosenhahn:
Trajectory reconstruction for affine structure-from-motion by global and local constraints. CVPR 2009: 2890-2897 - [c54]Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert:
Localised Mixture Models in Region-Based Tracking. DAGM-Symposium 2009: 21-30 - [c53]Ralf Dragon, Christian Becker, Bodo Rosenhahn, Jörn Ostermann:
Reading from Scratch - A Vision-System for Reading Data on Micro-structured Surfaces. DAGM-Symposium 2009: 402-411 - [c52]Cristina Nader Vasconcelos, Bodo Rosenhahn:
Bipartite Graph Matching Computation on GPU. EMMCVPR 2009: 42-55 - [c51]Henning Zimmer, Andrés Bruhn, Joachim Weickert, Levi Valgaerts, Agustín Salgado, Bodo Rosenhahn, Hans-Peter Seidel:
Complementary Optic Flow. EMMCVPR 2009: 207-220 - [c50]Andreas Baak, Bodo Rosenhahn, Meinard Müller, Hans-Peter Seidel:
Stabilizing motion tracking using retrieved motion priors. ICCV 2009: 1428-1435 - [c49]Björn Scheuermann, Bodo Rosenhahn:
Analysis of Numerical Methods for Level Set Based Image Segmentation. ISVC (2) 2009: 196-207 - [c48]Christian Kurz, Thorsten Thormählen, Bodo Rosenhahn, Hans-Peter Seidel:
Exploiting Mutual Camera Visibility in Multi-camera Motion Estimation. ISVC (1) 2009: 391-402 - [c47]Gerard Pons-Moll, Bodo Rosenhahn:
Ball joints for Marker-less human Motion Capture. WACV 2009: 1-8 - [e7]Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille, Frank R. Schmidt:
Statistical and Geometrical Approaches to Visual Motion Analysis, International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers. Lecture Notes in Computer Science 5604, Springer 2009, ISBN 978-3-642-03060-4 [contents] - [e6]Marcus A. Magnor, Bodo Rosenhahn, Holger Theisel:
14th International Workshop on Vision, Modeling, and Visualization, VMV 2009, November 16-18, 2009, Braunschweig, Germany. DNB 2009, ISBN 978-3-9804874-8-1 [contents] - 2008
- [c46]Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Lennart Wietzke, Gerald Sommer:
Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions. AMDO 2008: 102-111 - [c45]Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel:
Drift-free tracking of rigid and articulated objects. CVPR 2008 - [c44]Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Daniel Cremers, Hans-Peter Seidel:
Markerless motion capture of man-machine interaction. CVPR 2008 - [c43]Juergen Gall, Bodo Rosenhahn, Stefan Gehrig, Hans-Peter Seidel:
Model-Based Motion Capture for Crash Test Video Analysis. DAGM-Symposium 2008: 92-101 - [c42]Meinard Müller, Bastian Demuth, Bodo Rosenhahn:
An Evolutionary Approach for Learning Motion Class Patterns. DAGM-Symposium 2008: 365-374 - [c41]Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Hans-Peter Seidel:
Staying Well Grounded in Markerless Motion Capture. DAGM-Symposium 2008: 385-395 - [c40]Nils Hasler, Bodo Rosenhahn, Hans-Peter Seidel:
Cloth Simulation Based Motion Capture of Dressed Humans. Virtual Realities 2008: 123-138 - [c39]Dong Han, Bodo Rosenhahn, Joachim Weickert, Hans-Peter Seidel:
Combined Registration Methods for Pose Estimation. ISVC (1) 2008: 913-924 - [c38]Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel:
Modeling and Tracking Line-Constrained Mechanical Systems. RobVis 2008: 98-110 - [c37]Henning Zimmer, Andrés Bruhn, Levi Valgaerts, Michael Breuß, Joachim Weickert, Bodo Rosenhahn, Hans-Peter Seidel:
PDE-Based Anisotropic Disparity-Driven Stereo Vision. VMV 2008: 263-272 - [e5]Bodo Rosenhahn, Reinhard Klette, Dimitris N. Metaxas:
Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06. - 16.06.2006]. Computational Imaging and Vision 36, Springer 2008, ISBN 978-1-4020-6692-4 [contents] - [e4]Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille:
Statistical and Geometrical Approaches to Visual Motion Analysis, 13.07. - 18.07.2008. Dagstuhl Seminar Proceedings 08291, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2008 [contents] - [i2]Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille:
08291 Abstracts Collection - Statistical and Geometrical Approaches to Visual Motion Analysis. Statistical and Geometrical Approaches to Visual Motion Analysis 2008 - 2007
- [j9]Bodo Rosenhahn, Thomas Brox, Joachim Weickert:
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking. Int. J. Comput. Vis. 73(3): 243-262 (2007) - [j8]Jürgen Gall, Jürgen Potthoff, Christoph Schnörr, Bodo Rosenhahn, Hans-Peter Seidel:
Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications. J. Math. Imaging Vis. 28(1): 1-18 (2007) - [j7]Bodo Rosenhahn, Uwe G. Kersting, Katie Powell, Reinhard Klette, Gisela Klette, Hans-Peter Seidel:
A system for articulated tracking incorporating a clothing model. Mach. Vis. Appl. 18(1): 25-40 (2007) - [c36]Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel:
Scaled Motion Dynamics for Markerless Motion Capture. CVPR 2007 - [c35]Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel:
Clustered Stochastic Optimization for Object Recognition and Pose Estimation. DAGM-Symposium 2007: 32-41 - [c34]Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel:
Online Smoothing for Markerless Motion Capture. DAGM-Symposium 2007: 163-172 - [c33]Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Daniel Cremers, Lennart Wietzke, Gerald Sommer:
Occlusion Modeling by Tracking Multiple Objects. DAGM-Symposium 2007: 173-183 - [c32]Martin Sunkel, Bodo Rosenhahn, Hans-Peter Seidel:
Silhouette Based Generic Model Adaptation for Marker-Less Motion Capturing. Workshop on Human Motion 2007: 119-135 - [c31]Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel:
Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking. Workshop on Human Motion 2007: 152-165 - [c30]Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Joachim Weickert, Lennart Wietzke, Gerald Sommer:
Region-Based Pose Tracking. IbPRIA (2) 2007: 56-63 - [c29]Nils Hasler, Bodo Rosenhahn, Hans-Peter Seidel:
Reverse Engineering Garments. MIRAGE 2007: 200-211 - [e3]Ahmed M. Elgammal, Bodo Rosenhahn, Reinhard Klette:
Human Motion - Understanding, Modeling, Capture and Animation, Second Workshop, Human Motion 2007, Rio de Janeiro, Brazil, October 20, 2007, Proceedings. Lecture Notes in Computer Science 4814, Springer 2007, ISBN 978-3-540-75702-3 [contents] - [e2]Hendrik P. A. Lensch, Bodo Rosenhahn, Hans-Peter Seidel, Philipp Slusallek, Joachim Weickert:
12th International Fall Workshop on Vision, Modeling, and Visualization, VMV 2007, Saarbrücken, Germany, November 7-9, 2007. Aka GmbH 2007, ISBN 978-3-89838-085-0 [contents] - 2006
- [c28]Bodo Rosenhahn, Uwe G. Kersting, Katie Powell, Hans-Peter Seidel:
Cloth X-Ray: MoCap of People Wearing Textiles. DAGM-Symposium 2006: 495-504 - [c27]Thomas Brox, Bodo Rosenhahn, Uwe G. Kersting, Daniel Cremers:
Nonparametric Density Estimation for Human Pose Tracking. DAGM-Symposium 2006: 546-555 - [c26]Thomas Brox, Bodo Rosenhahn, Daniel Cremers:
Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos. Human Motion 2006: 265-293 - [c25]Bodo Rosenhahn, Uwe G. Kersting, Katie Powell, Thomas Brox, Hans-Peter Seidel:
Tracking Clothed People. Human Motion 2006: 295-317 - [c24]Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel:
An Introduction to Interacting Simulated Annealing. Human Motion 2006: 319-345 - [c23]Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel:
High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints. ECCV (2) 2006: 98-111 - [c22]Juergen Gall, Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel:
Learning for Multi-view 3D Tracking in the Context of Particle Filters. ISVC (2) 2006: 59-69 - [c21]Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel:
A Comparison of Shape Matching Methods for Contour Based Pose Estimation. IWCIA 2006: 263-276 - [c20]Gang Liu, Reinhard Klette, Bodo Rosenhahn:
Collinearity and Coplanarity Constraints for Structure from Motion. PSIVT 2006: 13-23 - [c19]Yilan Zhao, Robert J. Valkenburg, Reinhard Klette, Bodo Rosenhahn:
Target Calibration and Tracking Using Conformal Geometric Algebra. PSIVT 2006: 74-83 - [c18]Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel:
Robust Pose Estimation with 3D Textured Models. PSIVT 2006: 84-95 - [e1]Bodo Rosenhahn, Reinhard Klette, Dimitris N. Metaxas:
Human Motion - Understanding, Modeling, Capture and Animation. 13th Workshop, 11.06. - 16.06.2006. Dagstuhl Seminar Proceedings 06241, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006 [contents] - [i1]Bodo Rosenhahn, Reinhard Klette, Dimitris N. Metaxas:
06241 Abstracts Collection - Human Motion - Understanding, Modeling, Capture and Animation. 13th Workshop. Human Motion - Understanding, Modeling, Capture and Animation. 13th Workshop 2006 - 2005
- [j6]Bodo Rosenhahn, Gerald Sommer:
Pose Estimation in Conformal Geometric Algebra Part I: The Stratification of Mathematical Spaces. J. Math. Imaging Vis. 22(1): 27-48 (2005) - [j5]Bodo Rosenhahn, Gerald Sommer:
Pose Estimation in Conformal Geometric Algebra Part II: Real-Time Pose Estimation Using Extended Feature Concepts. J. Math. Imaging Vis. 22(1): 49-70 (2005) - [c17]Bodo Rosenhahn, Harvey Ho, Reinhard Klette:
Texture Driven Pose Estimation. CGIV 2005: 271-277 - [c16]Bodo Rosenhahn, Lei He, Reinhard Klette:
Automatic Human Model Generation. CAIP 2005: 41-48 - [c15]Thomas Brox, Bodo Rosenhahn, Joachim Weickert:
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation. DAGM-Symposium 2005: 109-116 - [c14]Bodo Rosenhahn, Uwe G. Kersting, Andrew W. Smith, Jason K. Gurney, Thomas Brox, Reinhard Klette:
A System for Marker-Less Human Motion Estimation. DAGM-Symposium 2005: 230-237 - 2004
- [j4]Bodo Rosenhahn, Christian Perwass, Gerald Sommer:
Free-Form Pose Estimation by Using Twist Representations. Algorithmica 38(1): 91-113 (2004) - [j3]Bodo Rosenhahn, Christian Perwass, Gerald Sommer:
Pose Estimation of 3D Free-Form Contours. Int. J. Comput. Vis. 62(3): 267-289 (2004) - [c13]Bodo Rosenhahn, Reinhard Klette, Gerald Sommer:
Silhouette Based Human Motion Estimation. DAGM-Symposium 2004: 294-301 - [c12]Bodo Rosenhahn, Gerald Sommer:
Pose Estimation of Free-Form Objects. ECCV (1) 2004: 414-427 - [c11]Gerald Sommer, Bodo Rosenhahn, Christian Perwass:
Twists - An Operational Representation of Shape. IWMM/GIAE 2004: 278-297 - [c10]Bodo Rosenhahn, Reinhard Klette:
Geometric Algebra for Pose Estimation and Surface Morphing in Human Motion Estimation. IWCIA 2004: 583-596 - 2003
- [b1]Bodo Rosenhahn:
Pose estimation revisited. University of Kiel, Germany, 2003, pp. 1-206 - [j2]Bodo Rosenhahn:
Pose Estimation for Visual Landmark Based Robot Navigation. Künstliche Intell. 17(2): 39- (2003) - [c9]Bodo Rosenhahn, Christian Perwass, Gerald Sommer:
Modeling Adaptive Deformations during Free-Form Pose Estimation. CAIP 2003: 664-672 - [c8]Bodo Rosenhahn, Christian Perwass, Gerald Sommer:
Pose Estimation of Free-Form Surface Models. DAGM-Symposium 2003: 574-581 - 2002
- [j1]Eduardo Bayro-Corrochano, Bodo Rosenhahn:
A geometric approach for the analysis and computation of the intrinsic camera parameters. Pattern Recognit. 35(1): 169-186 (2002) - [c7]Bodo Rosenhahn, Gerald Sommer:
Adaptive Pose Estimation for Different Corresponding Entities. DAGM-Symposium 2002: 265-273 - 2001
- [c6]Bodo Rosenhahn, Norbert Krüger, Torge Rabsch, Gerald Sommer:
Tracking with a Novel Pose Estimation Algorithm. RobVis 2001: 9-18 - 2000
- [c5]Bodo Rosenhahn, Yiwen Zhang, Gerald Sommer:
Pose Estimation in the Language of Kinematics. AFPAC 2000: 284-293 - [c4]Yiwen Zhang, Bodo Rosenhahn, Gerald Sommer:
Extended Kalman Filter Design for Motion Estimation by Point and Line Observations. AFPAC 2000: 339-348 - [c3]Bodo Rosenhahn, Yiwen Zhang, Gerald Sommer:
Performance of Constraint Based Pose Estimation Algorithms. DAGM-Symposium 2000: 277-284 - [c2]Gerald Sommer, Bodo Rosenhahn, Yiwen Zhang:
Pose Estimation Using Geometric Constraints. Theoretical Foundations of Computer Vision 2000: 153-170
1990 – 1999
- 1999
- [c1]Bodo Rosenhahn, Eduardo Bayro-Corrochano:
Computing the Intrinsic Camera Parameters Using Pascal's Theorem. CAIP 1999: 427-434
Coauthor Index
Yuren Cong
aka: Cong Yuren
aka: Cong Yuren
Juergen Gall
aka: Jürgen Gall
aka: Jürgen Gall
[j46] [i82] [j40] [c232] [i74] [i72] [c221] [i63] [i57] [c214] [c213] [c211] [c210] [c207] [c206] [i53] [i52] [i51] [i48] [i46] [c203] [c201] [c200] [c198] [c196] [c195] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i30] [c194] [c190] [i27] [i26] [c180] [c179] [i22] [i21] [i20] [i19] [i18] [i16] [c175] [c173] [c171] [i15] [i10] [i9] [i8] [j26] [c160] [i6] [j19] [c150] [c148] [c147] [c146] [c143] [c138] [i5] [j18] [j16] [c135] [c131] [c124] [c119] [c118] [c109] [c106]
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