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ORCIDHanno Ackermann
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- affiliation: University of Hannover, Germany
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2020 – today
- 2022
[i15]Risto Vuorio, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen, Pim de Haan:
Deconfounded Imitation Learning. CoRR abs/2211.02667 (2022)- 2021
- [j4]Stella Grasshof
, Hanno Ackermann, Sami Sebastian Brandt, Jörn Ostermann:
Multilinear Modelling of Faces and Expressions. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3540-3554 (2021) - [c34]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 - [c33]Yuren Cong, Wentong Liao, Hanno Ackermann, Bodo Rosenhahn, Michael Ying Yang:
Spatial-Temporal Transformer for Dynamic Scene Graph Generation. ICCV 2021: 16352-16362 - [c32]Farhad G. Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Ishaque Kadampot, Brian Buesker, Vamsi Vegunta, Fatih Porikli:
Deep Learning Frameworks for Weakly-Supervised Indoor Localization. NeurIPS (Competition and Demos) 2021: 349-354 - [c31]Farhad Ghazvinian Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Max Welling, Fatih Porikli:
Modality-Agnostic Topology Aware Localization. NeurIPS 2021: 10457-10468 - [i14]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) - [i13]Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Spatial-Temporal Transformer for Dynamic Scene Graph Generation. CoRR abs/2107.12309 (2021) - 2020
- [c30]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 - [c29]Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
NODIS: Neural Ordinary Differential Scene Understanding. ECCV (20) 2020: 636-653 - [c28]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Temporally Consistent Horizon Lines. ICRA 2020: 3161-3167 - [i12]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) - [i11]Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
NODIS: Neural Ordinary Differential Scene Understanding. CoRR abs/2001.04735 (2020)
2010 – 2019
- 2019
- [c27]Maren Awiszus, Hanno Ackermann, Bodo Rosenhahn:
Learning Disentangled Representations via Independent Subspaces. ICCV Workshops 2019: 560-568 - [c26]Sami Sebastian Brandt, Hanno Ackermann, Stella Grasshof:
Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis. ICCV Workshops 2019: 569-578 - [i10]Sami S. Brandt, Hanno Ackermann:
Non-Rigid Structure-From-Motion by Rank-One Basis Shapes. CoRR abs/1904.13271 (2019) - [i9]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Temporally Consistent Horizon Lines. CoRR abs/1907.10014 (2019) - [i8]Maren Awiszus, Hanno Ackermann, Bodo Rosenhahn:
Learning Disentangled Representations via Independent Subspaces. CoRR abs/1908.08989 (2019) - 2018
- [c25]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 - [c24]Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn:
A Kinematic Chain Space for Monocular Motion Capture. ECCV Workshops (4) 2018: 31-47 - [c23]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 - [c22]Holger Meuel, Hanno Ackermann, Bodo Rosenhahn, Jörn Ostermann:
Physical High Dynamic Range Imaging with Conventional Sensors. PCS 2018: 209-213 - [i7]Sami Sebastian Brandt, Hanno Ackermann, Stella Grasshof:
Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis. CoRR abs/1811.09132 (2018) - 2017
- [c21]Hanno Ackermann, Bodo Rosenhahn, Michael Ying Yang:
Unbiased Sparse Subspace Clustering by Selective Pursuit. CRV 2017: 1-7 - [c20]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection. GCPR 2017: 17-28 - [c19]Stella Graßhof, Hanno Ackermann, Sami S. Brandt, Jörn Ostermann:
Apathy Is the Root of All Expressions. FG 2017: 658-665 - [c18]Stella Grasshof, Hanno Ackermann, Felix Kuhnke, Jörn Ostermann, Sami S. Brandt:
Projective structure from facial motion. MVA 2017: 298-301 - [i6]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) - [i5]Stefan Siersdorfer, Philipp Kemkes, Hanno Ackermann, Sergej Zerr:
Who With Whom And How?: Extracting Large Social Networks Using Search Engines. CoRR abs/1701.08285 (2017) - [i4]Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn:
A Kinematic Chain Space for Monocular Motion Capture. CoRR abs/1702.00186 (2017) - [i3]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) - [i2]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) - 2016
- [j3]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) - [c17]Holger Meuel, Stephan Ferenz, Marco Munderloh, Hanno Ackermann, Jörn Ostermann:
In-loop radial distortion compensation for long-term mosaicing of aerial videos. ICIP 2016: 2961-2965 - [i1]Wentong Liao, Michael Ying Yang, Hanno Ackermann, Bodo Rosenhahn:
On Support Relations and Semantic Scene Graphs. CoRR abs/1609.05834 (2016) - 2015
- [c16]Stefan Siersdorfer, Philipp Kemkes, Hanno Ackermann, Sergej Zerr:
Who With Whom And How?: Extracting Large Social Networks Using Search Engines. CIKM 2015: 1491-1500 - [c15]Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn:
3D human motion capture from monocular image sequences. CVPR Workshops 2015: 1-8 - [c14]Kai Cordes, Mark Hockner, Hanno Ackermann, Bodo Rosenhahn, Jörn Ostermann:
WM-SBA: Weighted multibody sparse bundle adjustment. MVA 2015: 162-165 - [c13]Stella Grasshof, Hanno Ackermann, Jörn Ostermann:
Estimation of face parameters using correlation analysis and a topology preserving prior. MVA 2015: 584-587 - 2014
- [c12]Pulak Purkait, Tat-Jun Chin, Hanno Ackermann, David Suter:
Clustering with Hypergraphs: The Case for Large Hyperedges. ECCV (4) 2014: 672-687 - [c11]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 - [r1]Hanno Ackermann:
Factorization. Computer Vision, A Reference Guide 2014: 288-291 - 2013
- [c10]Christian Cordes, Hanno Ackermann, Bodo Rosenhahn:
A Low-Rank Constraint for Parallel Stereo Cameras. GCPR 2013: 31-40 - 2012
- [c9]Hanno Ackermann, Bodo Rosenhahn:
Non-rigid Self-calibration of a Projective Camera. ACCV (4) 2012: 177-190 - 2011
- [c8]Hanno Ackermann, Bodo Rosenhahn:
Projective Reconstruction from Incomplete Trajectories by Global and Local Constraints. CVMP 2011: 77-86 - [c7]Frank R. Schmidt, Hanno Ackermann, Bodo Rosenhahn:
Multilinear Model Estimation with L 2-Regularization. DAGM-Symposium 2011: 81-90 - 2010
- [c6]Hanno Ackermann, Bodo Rosenhahn:
A Linear Solution to 1-Dimensional Subspace Fitting under Incomplete Data. ACCV (2) 2010: 464-476 - [c5]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
2000 – 2009
- 2009
- [c4]Hanno Ackermann, Bodo Rosenhahn:
Trajectory reconstruction for affine structure-from-motion by global and local constraints. CVPR 2009: 2890-2897 - 2008
- [j2]Hanno Ackermann, Kenichi Kanatani:
Fast Projective Reconstruction: Toward Ultimate Efficiency. Inf. Media Technol. 3(2): 432-442 (2008) - [c3]Hanno Ackermann, Ken-ichi Kanatani:
Iterative Low Complexity Factorization for Projective Reconstruction. RobVis 2008: 153-164 - 2007
- [j1]Ken-ichi Kanatani, Yasuyuki Sugaya, Hanno Ackermann:
Uncalibrated Factorization Using a Variable Symmetric Affine Camera. IEICE Trans. Inf. Syst. 90-D(5): 851-858 (2007) - [c2]Hanno Ackermann, Kenichi Kanatani:
Robust and Efficient 3-D Reconstruction by Self-Calibration. MVA 2007: 178-181 - 2006
- [c1]Ken-ichi Kanatani, Yasuyuki Sugaya, Hanno Ackermann:
Uncalibrated Factorization Using a Variable Symmetric Affine Camera. ECCV (4) 2006: 147-158
Coauthor Index
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