Robust and Efficient 3-D Reconstruction by Self-Calibration. - Hanno Ackermann; Kenichi Kanatani (MVA, 2007)

Uncalibrated Factorization Using a Variable Symmetric Affine Camera. - Ken-ichi Kanatani; Yasuyuki Sugaya; Hanno Ackermann (IEICE Trans. Inf. Syst., 2007)

Iterative Low Complexity Factorization for Projective Reconstruction. - Hanno Ackermann; Ken-ichi Kanatani (RobVis, 2008)

Fast Projective Reconstruction: Toward Ultimate Efficiency. - Hanno Ackermann; Kenichi Kanatani (Inf. Media Technol., 2008)

Trajectory reconstruction for affine structure-from-motion by global and local constraints. - Hanno Ackermann; Bodo Rosenhahn (CVPR, 2009)

A Linear Solution to 1-Dimensional Subspace Fitting under Incomplete Data. - Hanno Ackermann; Bodo Rosenhahn (ACCV (2), 2010)

Multilinear pose and body shape estimation of dressed subjects from image sets. - Nils Hasler; Hanno Ackermann; Bodo Rosenhahn; Thorsten Thormählen; Hans-Peter Seidel (CVPR, 2010)

Projective Reconstruction from Incomplete Trajectories by Global and Local Constraints. - Hanno Ackermann; Bodo Rosenhahn (CVMP, 2011)

Multilinear Model Estimation with L 2-Regularization. - Frank R. Schmidt; Hanno Ackermann; Bodo Rosenhahn (DAGM-Symposium, 2011)

Non-rigid Self-calibration of a Projective Camera. - Hanno Ackermann; Bodo Rosenhahn (ACCV (4), 2012)

A Low-Rank Constraint for Parallel Stereo Cameras. - Christian Cordes; Hanno Ackermann; Bodo Rosenhahn (GCPR, 2013)

Clustering with Hypergraphs: The Case for Large Hyperedges. - Pulak Purkait; Tat-Jun Chin; Hanno Ackermann; David Suter (ECCV (4), 2014)

Randomly Walking Can Get You Lost: Graph Segmentation with Unknown Edge Weights. - Hanno Ackermann; Björn Scheuermann 002; Tat-Jun Chin; Bodo Rosenhahn (EMMCVPR, 2014)

Factorization. - Hanno Ackermann (Computer Vision, A Reference Guide, 2014)

Who With Whom And How?: Extracting Large Social Networks Using Search Engines. - Stefan Siersdorfer; Philipp Kemkes; Hanno Ackermann; Sergej Zerr (CIKM, 2015)

3D human motion capture from monocular image sequences. - Bastian Wandt; Hanno Ackermann; Bodo Rosenhahn (CVPR Workshops, 2015)

WM-SBA: Weighted multibody sparse bundle adjustment. - Kai Cordes; Mark Hockner; Hanno Ackermann; Bodo Rosenhahn; Jörn Ostermann (MVA, 2015)

Estimation of face parameters using correlation analysis and a topology preserving prior. - Stella Grasshof; Hanno Ackermann; Jörn Ostermann (MVA, 2015)

In-loop radial distortion compensation for long-term mosaicing of aerial videos. - Holger Meuel; Stephan Ferenz; Marco Munderloh; Hanno Ackermann; Jörn Ostermann (ICIP, 2016)

On Support Relations and Semantic Scene Graphs. - Wentong Liao; Michael Ying Yang; Hanno Ackermann; Bodo Rosenhahn (CoRR, 2016)

3D Reconstruction of Human Motion from Monocular Image Sequences. - Bastian Wandt; Hanno Ackermann; Bodo Rosenhahn (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Unbiased Sparse Subspace Clustering by Selective Pursuit. - Hanno Ackermann; Bodo Rosenhahn; Michael Ying Yang (CRV, 2017)

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection. - Florian Kluger; Hanno Ackermann; Michael Ying Yang; Bodo Rosenhahn (GCPR, 2017)

Apathy Is the Root of All Expressions. - Stella Graßhof; Hanno Ackermann; Sami S. Brandt; Jörn Ostermann (FG, 2017)

Projective structure from facial motion. - Stella Grasshof; Hanno Ackermann; Felix Kuhnke; Jörn Ostermann; Sami S. Brandt (MVA, 2017)

Motion Segmentation via Global and Local Sparse Subspace Optimization. - Michael Ying Yang; Hanno Ackermann; Weiyao Lin; Sitong Feng; Bodo Rosenhahn (CoRR, 2017)

Learning a Fully Convolutional Network for Object Recognition using very few Data. - Christoph Reinders; Hanno Ackermann; Michael Ying Yang; Bodo Rosenhahn (CoRR, 2017)

Region-based Cycle-Consistent Data Augmentation for Object Detection. - Florian Kluger; Christoph Reinders; Kevin Raetz; Philipp Schelske; Bastian Wandt; Hanno Ackermann; Bodo Rosenhahn (IEEE BigData, 2018)

A Kinematic Chain Space for Monocular Motion Capture. - Bastian Wandt; Hanno Ackermann; Bodo Rosenhahn (ECCV Workshops (4), 2018)

Object Recognition from very few Training Examples for Enhancing Bicycle Maps. - Christoph Reinders; Hanno Ackermann; Michael Ying Yang; Bodo Rosenhahn (Intelligent Vehicles Symposium, 2018)

Physical High Dynamic Range Imaging with Conventional Sensors. - Holger Meuel; Hanno Ackermann; Bodo Rosenhahn; Jörn Ostermann (PCS, 2018)

Learning Disentangled Representations via Independent Subspaces. - Maren Awiszus; Hanno Ackermann; Bodo Rosenhahn (ICCV Workshops, 2019)

Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis. - Sami Sebastian Brandt; Hanno Ackermann; Stella Grasshof (ICCV Workshops, 2019)

Non-Rigid Structure-From-Motion by Rank-One Basis Shapes. - Sami S. Brandt; Hanno Ackermann (CoRR, 2019)

CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. - Florian Kluger; Eric Brachmann; Hanno Ackermann; Carsten Rother; Michael Ying Yang; Bodo Rosenhahn (CVPR, 2020)

NODIS: Neural Ordinary Differential Scene Understanding. - Cong Yuren; Hanno Ackermann; Wentong Liao; Michael Ying Yang; Bodo Rosenhahn (ECCV (20), 2020)

Temporally Consistent Horizon Lines. - Florian Kluger; Hanno Ackermann; Michael Ying Yang; Bodo Rosenhahn (ICRA, 2020)

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images. - Florian Kluger; Hanno Ackermann; Eric Brachmann; Michael Ying Yang; Bodo Rosenhahn (CVPR, 2021)

Spatial-Temporal Transformer for Dynamic Scene Graph Generation. - Yuren Cong; Wentong Liao; Hanno Ackermann; Bodo Rosenhahn; Michael Ying Yang (ICCV, 2021)

Deep Learning Frameworks for Weakly-Supervised Indoor Localization. - Farhad G. Zanjani; Ilia Karmanov; Hanno Ackermann; Daniel Dijkman; Simone Merlin; Ishaque Kadampot; Brian Buesker; Vamsi Vegunta; Fatih Porikli (NeurIPS (Competition and Demos), 2021)

Modality-Agnostic Topology Aware Localization. - Farhad Ghazvinian Zanjani; Ilia Karmanov; Hanno Ackermann; Daniel Dijkman; Simone Merlin; Max Welling; Fatih Porikli (NeurIPS, 2021)

Multilinear Modelling of Faces and Expressions. - Stella Grasshof; Hanno Ackermann; Sami Sebastian Brandt; Jörn Ostermann (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Deconfounded Imitation Learning. - Risto Vuorio; Johann Brehmer; Hanno Ackermann; Daniel Dijkman; Taco Cohen; Pim de Haan (CoRR, 2022)

Deconfounding Imitation Learning with Variational Inference. - Risto Vuorio; Pim de Haan; Johann Brehmer; Hanno Ackermann; Daniel Dijkman; Taco Cohen (Trans. Mach. Learn. Res., 2024)

Learning Optical Flow Field via Neural Ordinary Differential Equation. - Leyla Mirvakhabova; Hong Cai; Jisoo Jeong; Hanno Ackermann; Farhad G. Zanjani; Fatih Porikli (CVPR Workshops, 2025)

Planar Gaussian Splatting. - Farhad G. Zanjani; Hong Cai; Hanno Ackermann; Leyla Mirvakhabova; Fatih Porikli (WACV, 2025)