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ORCIDBodo Rosenhahn
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- affiliation: Leibniz Universität Hannover, Germany
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2020 – today
- 2023
[j38]Vasileios Iosifidis
, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi:
AdaCC: cumulative cost-sensitive boosting for imbalanced classification. Knowl. Inf. Syst. 65(2): 789-826 (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) - [c224]Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection. WACV 2023: 2591-2601 - [i67]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) - [i66]Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn:
Take 5: Interpretable Image Classification with a Handful of Features. CoRR abs/2303.13166 (2023) - [i65]Yuren Cong, Wentong Liao, Bodo Rosenhahn, Michael Ying Yang:
Learning Similarity between Scene Graphs and Images with Transformers. CoRR abs/2304.00590 (2023) - [i64]Timo Kaiser, Christoph Reinders, Bodo Rosenhahn:
Compensation Learning in Semantic Segmentation. CoRR abs/2304.13428 (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 A. D. 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 A. D. 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]