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Bodo 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]