Publications

@article{roetzer2025fast,

title = {Fast Globally Optimal and Geometrically Consistent 3D Shape Matching},

author = {P. Roetzer and F. Bernard},

url = {https://arxiv.org/abs/2504.06385},

year  = {2025},

date = {2025-10-01},

urldate = {2025-06-25},

journal = {International Conference on Computer Vision (ICCV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xie2025b,

title = {Symmetry Understanding of 3D Shapes via Chirality Disentanglement},

author = {W. Wang and T. Wei\ssberg and N. El Amrani and F. Bernard},

year  = {2025},

date = {2025-10-01},

urldate = {2025-10-01},

journal = {International Conference on Computer Vision (ICCV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{elamraniroetzer2025,

title = {High-Resolution 3D Shape Matching with Global Optimality and Geometric Consistency },

author = {N. El Amrani and P. Roetzer and F. Bernard},

year  = {2025},

date = {2025-07-01},

urldate = {2025-07-01},

journal = {Computer Graphics Forum (CGF) / Symposium on Geometry Processing (SGP)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{becos2025,

title = {Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Matching Algorithms},

author = {V. Ehm and N. El Amrani and Y. Xie and L. Bastian and M. Gao and W. Wang and L. Sang and D. Cao and T. Wei\ssberg and Z. L\"{a}hner and D. Cremers and F. Bernard},

year  = {2025},

date = {2025-07-01},

urldate = {2025-07-01},

journal = {Computer Graphics Forum (CGF) / Symposium on Geometry Processing (SGP)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{roetzer2025cvpr,

title = {Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching},

author = {P. Roetzer and V. Ehm and D. Cremers and Z. L\"{a}hner and F. Bernard},

url = {https://openaccess.thecvf.com/content/CVPR2025/papers/Roetzer_Higher-Order_Ratio_Cycles_for_Fast_and_Globally_Optimal_Shape_Matching_CVPR_2025_paper.pdf},

year  = {2025},

date = {2025-06-12},

urldate = {2025-06-12},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sang2025cvpr,

title = {4Deform: Neural Surface Deformation for Robust Shape Interpolation},

author = {L. Sang and Z. Canfes and D. Cao and R. Marin and F. Bernard and D. Cremers},

url = {https://arxiv.org/pdf/2502.20208},

year  = {2025},

date = {2025-06-11},

urldate = {2025-06-11},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xie2025,

title = {EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection},

author = {Y. Xie and V. Ehm and P. Roetzer and N. El Amrani and M. Gao and F. Bernard and D. Cremers},

editor = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

url = {https://openaccess.thecvf.com/content/CVPR2025/papers/Xie_EchoMatch_Partial-to-Partial_Shape_Matching_via_Correspondence_Reflection_CVPR_2025_paper.pdf},

year  = {2025},

date = {2025-06-11},

urldate = {2025-06-11},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kahl2025,

title = {Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging},

author = {M. Kahl and S. Stricker and L. Hutschenreiter and F. Bernard and C. Rother and B. Savchynskyy},

url = {https://openaccess.thecvf.com/content/CVPR2025/papers/Kahl_Towards_Optimizing_Large-Scale_Multi-Graph_Matching_in_Bioimaging_CVPR_2025_paper.pdf},

year  = {2025},

date = {2025-06-11},

urldate = {2025-06-11},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sang2025,

title = {Implicit Neural Surface Deformation with Explicit Velocity Fields},

author = {L. Sang and Z. Canfes and D. Cao and F. Bernard and D. Cremers},

url = {https://arxiv.org/pdf/2501.14038},

year  = {2025},

date = {2025-04-02},

urldate = {2025-04-02},

journal = {International Conference on Learning Representations (ICLR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{petzsch24,

title = {Approximate 2D-3D Shape Matching for Interactive Applications},

author = {C. Petzsch and P. Roetzer and Z. L\"{a}hner and F. Bernard},

year  = {2025},

date = {2025-03-01},

urldate = {2025-03-01},

journal = {International Conference on 3D Vision (3DV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{crisostomi24,

title = {C2M3: Cycle-Consistent Multi-Model Merging},

author = {D. Crisostomi and M. Fumero and D. Baiero and F. Bernard and E. Rodola},

url = {https://arxiv.org/pdf/2405.17897},

year  = {2024},

date = {2024-12-09},

urldate = {2024-12-09},

journal = {NeurIPS},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{elamrani2024,

title = {A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning},

author = {N. El Amrani and D. Cao and F. Bernard},

url = {https://nafieamrani.github.io/assets/pdf/nafie2024miccai.pdf},

year  = {2024},

date = {2024-10-06},

urldate = {2024-10-06},

journal = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cao2024eccv,

title = {Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching},

author = {D. Cao and Z. L\"{a}hner and F. Bernard},

url = {https://arxiv.org/pdf/2407.08244},

year  = {2024},

date = {2024-09-29},

urldate = {2024-09-29},

journal = {European Conference on Computer Vision (ECCV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{roetzer2024eccv,

title = {DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching},

author = {P. Roetzer and A. Abbas and D. Cao and F. Bernard and P. Swoboda},

url = {https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/07026.pdf},

year  = {2024},

date = {2024-09-28},

urldate = {2024-09-28},

journal = {European Conference on Computer Vision (ECCV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nurlanov24,

title = {Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs},

author = {Z. Nurlanov and F. R. Schmidt and F. Bernard},

url = {https://arxiv.org/abs/2307.13078},

year  = {2024},

date = {2024-09-09},

urldate = {2024-09-09},

journal = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{roetzer2024,

title = {SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency},

author = {P. Roetzer and F. Bernard},

url = {https://openaccess.thecvf.com/content/CVPR2024/papers/Roetzer_SpiderMatch_3D_Shape_Matching_with_Global_Optimality_and_Geometric_Consistency_CVPR_2024_paper.pdf},

year  = {2024},

date = {2024-06-19},

urldate = {2024-06-19},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cao2024cvpr,

title = {Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation},

author = {D. Cao and M. Eisenberger and N. El Amrani and D. Cremers and F. Bernard},

url = {https://arxiv.org/pdf/2402.18920.pdf},

year  = {2024},

date = {2024-06-17},

urldate = {2024-06-17},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ehm2024,

title = {Partial-to-Partial Shape Matching with Geometric Consistency},

author = {V. Ehm and M. Gao and P. Roetzer and M. Eisenberger and D. Cremers and F. Bernard},

url = {https://arxiv.org/pdf/2404.12209.pdf},

year  = {2024},

date = {2024-06-17},

urldate = {2024-06-17},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wang2024,

title = {Unsupervised 3D Structure Inference from Category-Specific Image Collections},

author = {W. Wang and D. Cao and F. Bernard},

url = {https://openaccess.thecvf.com/content/CVPR2024/papers/Wang_Unsupervised_3D_Structure_Inference_from_Category-Specific_Image_Collections_CVPR_2024_paper.pdf},

year  = {2024},

date = {2024-06-17},

urldate = {2024-06-17},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kahl24,

title = {Unlocking the Potential of Operations Research for Multi-Graph Matching},

author = {M. Kahl and S. Stricker and L. Hutschenreiter and F. Bernard and B. Savchynskyy},

url = {https://arxiv.org/pdf/2406.18215},

year  = {2024},

date = {2024-06-01},

urldate = {2024-06-01},

journal = {arXiv},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ehm2023,

title = {Geometrically Consistent Partial Shape Matching},

author = {V. Ehm and P. Roetzer and M. Eisenberger and M. Gao and F. Bernard and D. Cremers},

url = {https://arxiv.org/pdf/2309.05013.pdf},

year  = {2024},

date = {2024-03-21},

urldate = {2024-03-21},

journal = {International Conference on 3D Vision (3DV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cao20243dv,

title = {Revisiting Map Relations for Unsupervised Non-Rigid Shape Matching},

author = {D. Cao and P. Roetzer and F. Bernard},

url = {https://arxiv.org/abs/2310.11420},

year  = {2024},

date = {2024-03-21},

urldate = {2024-03-21},

journal = {International Conference on 3D Vision (3DV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{yenamandra2024,

title = {FIRe 🔥: Fast Inverse Rendering using Directional and Signed Distance Functions},

author = {T. Yenamandra and A. Tewari and N. Yang and F. Bernard and C. Theobalt and D. Cremers},

url = {https://arxiv.org/pdf/2203.16284.pdf},

year  = {2024},

date = {2024-01-04},

urldate = {2024-01-04},

journal = {Winter Conference on Applications of Computer Vision (WACV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{swoboda2023,

title = {Structured Prediction Problem Archive},

author = {P. Swoboda and A. Abbas and F. Bernard and A. Horn\'{a}kov\'{a} and P. Roetzer and B. Savchynskyy },

url = {https://arxiv.org/pdf/2202.03574.pdf},

year  = {2023},

date = {2023-10-16},

urldate = {2023-10-16},

journal = {arXiv},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gao2023,

title = {SIGMA: Scale-Invariant Global Sparse Shape Matching},

author = {M. Gao and P. Roetzer and M. Eisenberger and Z. L\"{a}hner and M. Moeller and D. Cremers and F. Bernard},

url = {https://arxiv.org/pdf/2308.08393.pdf},

year  = {2023},

date = {2023-10-04},

urldate = {2023-10-04},

journal = {International Conference on Computer Vision (ICCV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cao2023sig,

title = {Unsupervised Learning of Robust Spectral Shape Matching},

author = {D. Cao and P. Roetzer and F. Bernard},

url = {https://arxiv.org/pdf/2304.14419.pdf},

year  = {2023},

date = {2023-08-06},

urldate = {2023-08-06},

journal = {SIGGRAPH / ACM Transactions on Graphics (TOG)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cao2023,

title = {Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching},

author = {D. Cao and F. Bernard},

url = {https://arxiv.org/abs/2303.10971},

year  = {2023},

date = {2023-06-18},

urldate = {2023-06-18},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{roetzer2022conjugateb,

title = {Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching},

author = {P. Roetzer and Z. L\"{a}hner and F. Bernard},

url = {https://arxiv.org/abs/2211.11589},

year  = {2023},

date = {2023-06-18},

urldate = {2023-06-18},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ehm2023eg,

title = {Non-Separable Multi-Dimensional Network Flows for Visual Computing},

author = {V. Ehm and D. Cremers and F. Bernard},

url = {https://arxiv.org/pdf/2305.08628.pdf},

year  = {2023},

date = {2023-05-08},

urldate = {2023-05-08},

journal = {Eurographics (Poster)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{thunberg23,

title = {Non-Negative Spherical Relaxations for Universe-Free Multi-Matching and Clustering},

author = {J. Thunberg and F. Bernard},

url = {https://arxiv.org/pdf/2310.13311.pdf},

year  = {2023},

date = {2023-04-20},

urldate = {2023-04-20},

journal = {Scandinavian Conference on Image Analysis (SCIA)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nurlanov2023,

title = {Universe Points Representation Learning for Partial Multi-Graph Matching},

author = {Z. Nurlanov and F. R. Schmidt and F. Bernard },

url = {https://arxiv.org/abs/2212.00780},

year  = {2023},

date = {2023-02-07},

urldate = {2023-02-07},

journal = {AAAI Conference on Artificial Intelligence},

abstract = {Many challenges from natural world can be formulated as a graph matching problem. Previous deep learning-based methods mainly consider a full two-graph matching setting. In this work, we study the more general partial matching problem with multi-graph cycle consistency guarantees. Building on a recent progress in deep learning on graphs, we propose a novel data-driven method (URL) for partial multi-graph matching, which uses an object-to-universe formulation and learns latent representations of abstract universe points. The proposed approach advances the state of the art in semantic keypoint matching problem, evaluated on Pascal VOC, CUB, and Willow datasets. Moreover, the set of controlled experiments on a synthetic graph matching dataset demonstrates the scalability of our method to graphs with large number of nodes and its robustness to high partiality.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hofherr2023,

title = {Neural Implicit Representations for Physical Parameter Inference from a Single Video},

author = {F. Hofherr and L. Koestler and F. Bernard and D. Cremers},

url = {https://arxiv.org/pdf/2204.14030},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Winter Conference on Applications of Computer Vision (WACV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wang2022,

title = {HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow},

author = {J. Wang and D. Luvizon and F. Mueller and F. Bernard and A. Kortylewski and D. Casas and C. Theobalt},

url = {https://arxiv.org/pdf/2210.01692.pdf},

year  = {2022},

date = {2022-09-30},

urldate = {2022-09-30},

journal = {International Symposium on Vision, Modeling, and Visualization (VMV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cao2022,

title = {Unsupervised Deep Multi-Shape Matching},

author = {D. Cao and F. Bernard},

url = {https://arxiv.org/abs/2207.09610},

year  = {2022},

date = {2022-09-02},

urldate = {2022-09-02},

journal = {European Conference on Computer Vision (ECCV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{haller2022,

title = {A Comparative Study of Graph Matching Algorithms in Computer Vision},

author = {S. Haller and L. Feineis and L. Hutschenreiter and F. Bernard and C. Rother and D. Kainmueller and P. Swoboda and B. Savchynskyy},

url = {https://arxiv.org/pdf/2207.00291.pdf},

year  = {2022},

date = {2022-09-01},

urldate = {2022-09-01},

journal = {European Conference on Computer Vision (ECCV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nurlanov2022b,

title = {Efficient and Flexible Sublabel-Accurate Energy Minimization},

author = {Z. Nurlanov and D. Cremers and F. Bernard},

url = {https://arxiv.org/abs/2206.09596},

year  = {2022},

date = {2022-05-17},

urldate = {2022-05-17},

journal = {International Conference on Pattern Recognition (ICPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{roetzer2022,

title = {A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching},

author = {P. Roetzer and P. Swoboda and D. Cremers and F. Bernard},

url = {http://arxiv.org/abs/2204.12805},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{eisenberger2022,

title = {A Unified Framework for Implicit Sinkhorn Differentiation},

author = {M. Eisenberger and A. Toker and L. Leal-Taixe and F. Bernard and D. Cremers},

url = {https://arxiv.org/pdf/2205.06688.pdf},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ye2022,

title = {Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections},

author = {Z. Ye and T. Yenamandra and F. Bernard and D. Cremers},

url = {https://arxiv.org/pdf/2103.17229.pdf},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {AAAI Conference on Artificial Intelligence},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{muhle2022,

title = {The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions},

author = {D. Muhle and L. Koestler and N. Demmel and F. Bernard and D. Cremers},

url = {https://arxiv.org/pdf/2204.02256.pdf},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{krahn2021,

title = {Convex Joint Graph Matching and Clustering via Semidefinite Relaxations},

author = {M. Krahn and F. Bernard and V. Golyanik},

url = {https://arxiv.org/pdf/2110.11335.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {International Conference on 3D Vision (3DV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{yenamandra2020i3dmm,

title = {i3DMM: Deep Implicit 3D Morphable Model of Human Heads},

author = {T. Yenamandra and A. Tewari and F. Bernard and H. -P. Seidel and M. Elgharib and D. Cremers and C. Theobalt},

url = {https://arxiv.org/pdf/2011.14143.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{liu2021,

title = {Learning Dynamic Textures for Neural Rendering of Human Actors},

author = {L. Liu and W. Xu and M. Habermann and M. Zollhoefer and F. Bernard and H. Kim and W. Wang and C. Theobalt},

url = {https://arxiv.org/pdf/2001.04947.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {IEEE Transactions on Visualization and Computer Graphics},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bernard2021,

title = {Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation},

author = {F. Bernard and D. Cremers and J. Thunberg},

url = {https://arxiv.org/pdf/2110.00053.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {NeurIPS},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ehm2021,

title = {Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Applications in 3D Multi-Shape Analysis},

author = {V. Ehm and D. Cremers and F. Bernard},

url = {https://arxiv.org/pdf/2112.04165.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {International Conference on 3D Vision (3DV)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gao2020,

title = {Isometric Multi-Shape Matching},

author = {M. Gao and Z. L\"{a}hner and J. Thunberg and D. Cremers and F. Bernard},

url = {https://arxiv.org/pdf/2012.02689.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{egger2019,

title = {3D Morphable Face Models - Past, Present and Future},

author = {B. Egger and W. A. P. Smith and A. Tewari and S. Wuhrer and M. Zollhoefer and T. Beeler and F. Bernard and T. Bolkart and A. Kortylewski and S. Romdhani and C. Theobalt and V. Blanz and T. Vetter},

url = {https://arxiv.org/pdf/1909.01815.pdf},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {ACM Transactions on Graphics (TOG)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{TewariSA:2020,

title = {PIE: Portrait Image Embedding for Semantic Control},

author = {A. Tewari and M. Elgharib and M. BR and F. Bernard and H. -P. Seidel and P. Perez and M. Zollhoefer and C. Theobalt},

url = {http://gvv.mpi-inf.mpg.de/projects/PIE/data/paper.pdf},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {ACM Transactions on Graphics (TOG)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{WangSA:2020,

title = {RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video},

author = {J. Wang and F. Mueller and F. Bernard and S. Sorli and O. Sotnychenko and N. Qian and M. A. Otaduy and D. Casas and C. Theobalt},

url = {https://handtracker.mpi-inf.mpg.de/projects/RGB2Hands/content/RGB2Hands_author_version.pdf},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {ACM Transactions on Graphics (TOG)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Liu:2019,

title = {Neural Animation and Reenactment of Human Actor Videos},

author = {L. Liu and W. Xu and M. Zollhoefer and H. Kim and F. Bernard and M. Habermann and W. Wang and C. Theobalt},

url = {https://arxiv.org/pdf/1809.03658},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {ACM Transactions on Graphics (TOG)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mueller:2019,

title = {Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Camera},

author = {F. Mueller and M. Davis and F. Bernard and O. Sotnychenko and M. Verschoor and M. A. Otaduy and D. Casas and C. Theobalt},

url = {https://handtracker.mpi-inf.mpg.de/projects/TwoHands/content/TwoHands_SIGGRAPH2019.pdf},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {ACM Transactions on Graphics (TOG)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bernard2019nmfsync,

title = {Synchronisation of Partial Multi-Matchings via Non-negative Factorisations},

author = {F. Bernard and J. Thunberg and J. Goncalves and C. Theobalt},

url = {https://arxiv.org/pdf/1803.06320.pdf},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Pattern Recognition},

volume = {92},

pages = {22-37},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Thunberg:2018,

title = {A lifting method for analyzing distributed synchronization on the unit sphere},

author = {J. Thunberg and J. Markdahl and F. Bernard and J. Goncalves},

url = {https://www.sciencedirect.com/science/article/pii/S0005109818303534},

year  = {2018},

date = {2018-10-01},

urldate = {2018-10-01},

journal = {Automatica},

volume = {96},

pages = {253-258},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tewari:2018pami,

title = {High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder},

author = {A. Tewari and M. Zollhoefer and F. Bernard and H. Kim P. Garrido and P. Perez and C. Theobalt},

url = {http://gvv.mpi-inf.mpg.de/projects/TPAMI_Face/paper.pdf},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Thunberg:2017kk,

title = {Distributed methods for synchronization of orthogonal matrices over graphs},

author = {J. Thunberg and F. Bernard and J. Goncalves},

url = {https://arxiv.org/pdf/1701.07248.pdf},

year  = {2017},

date = {2017-06-01},

urldate = {2017-06-01},

journal = {Automatica},

volume = {80},

pages = {243-252},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bernard:2017mia,

title = {Shape-aware surface reconstruction from sparse 3D point-clouds},

author = {F. Bernard and L. Salamanca and J. Thunberg and A. Tack and D. Jentsch and H. Lamecker and S. Zachow and F. Hertel and J. Goncalves and P. Gemmar},

url = {https://arxiv.org/pdf/1602.08425},

year  = {2017},

date = {2017-05-01},

urldate = {2017-05-01},

journal = {Medical Image Analysis},

volume = {38},

pages = {77-89},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bernard:2016,

title = {Novel Methods for Multi-Shape Analysis},

author = {F. Bernard},

url = {http://orbilu.uni.lu/bitstream/10993/29048/1/phd_thesis_bernard.pdf},

year  = {2016},

date = {2016-11-01},

urldate = {2016-11-01},

journal = {PhD Thesis. University of Luxembourg},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Thunberg:2015,

title = {On Transitive Consistency for Linear Invertible Transformations between Euclidean Coordinate Systems},

author = {J. Thunberg and F. Bernard and J. Goncalves},

url = {https://arxiv.org/pdf/1509.00728.pdf},

year  = {2015},

date = {2015-09-01},

urldate = {2015-09-01},

journal = {arXiv},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hertel:2015,

title = {Susceptibility-Weighted MRI for Deep Brain Stimulation: Potentials in Trajectory Planning},

author = {F. Hertel and A. Husch and G. Dooms and F. Bernard and P. Gemmar},

url = {https://www.karger.com/Article/Abstract/433445},

year  = {2015},

date = {2015-07-01},

urldate = {2015-07-01},

journal = {Stereotactic and Functional Neurosurgery},

volume = {93 (5)},

pages = {303-308},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bernard:2013,

title = {Eyelid Contour Detection and Tracking for Startle Research related Eye-Blink Measurements from High-Speed Video Records},

author = {F. Bernard and C. E. Deuter and P. Gemmar and H. Schachinger},

year  = {2013},

date = {2013-10-01},

urldate = {2013-10-01},

journal = {Computer Methods and Programs in Biomedicine},

volume = {112 (1)},

pages = {22-37},

keywords = {},

pubstate = {published},

tppubtype = {article}

}