2025
|
 | Approximate 2D-3D Shape Matching for Interactive Applications C. Petzsch; P. Roetzer; Z. Laehner; F. Bernard In: International Conference on 3D Vision (3DV), 2025. @article{petzsch24,
title = {Approximate 2D-3D Shape Matching for Interactive Applications},
author = {C. Petzsch and P. Roetzer and Z. Laehner and F. Bernard},
year = {2025},
date = {2025-03-01},
journal = {International Conference on 3D Vision (3DV)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2024
|
 | D. Crisostomi; M. Fumero; D. Baiero; F. Bernard; E. Rodola In: NeurIPS, 2024. [pdf] [code] @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}
}
|
 | N. El Amrani; D. Cao; F. Bernard In: Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. [pdf] [code] @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}
}
|
 | D. Cao; Z. Laehner; F. Bernard In: European Conference on Computer Vision (ECCV), 2024. [pdf] @article{cao2024eccv,
title = {Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching},
author = {D. Cao and Z. Laehner 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}
}
|
 | P. Roetzer; A. Abbas; D. Cao; F. Bernard; P. Swoboda In: European Conference on Computer Vision (ECCV), 2024. [pdf] [code] @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://arxiv.org/pdf/2310.08230},
year = {2024},
date = {2024-09-28},
urldate = {2024-09-28},
journal = {European Conference on Computer Vision (ECCV)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
 | Z. Nurlanov; F. R. Schmidt; F. Bernard In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024. [pdf] [code] @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}
}
|
 | P. Roetzer; F. Bernard In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [pdf] [code] [Article in Computer Vision News]
@article{nokey,
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}
}
|
 | W. Wang; D. Cao; F. Bernard In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [pdf] @article{nokey,
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}
}
|
 | D. Cao; M. Eisenberger; N. El Amrani; D. Cremers; F. Bernard In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [pdf] [code] @article{nokey,
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}
}
|
 | V. Ehm; M. Gao; P. Roetzer; M. Eisenberger; D. Cremers; F. Bernard In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [pdf] [code] @article{nokey,
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}
}
|
 | M. Kahl; S. Stricker; L. Hutschenreiter; F. Bernard; B. Savchynskyy In: arXiv, 2024. [pdf] @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}
}
|
 | V. Ehm; P. Roetzer; M. Eisenberger; M. Gao; F. Bernard; D. Cremers In: International Conference on 3D Vision (3DV), 2024. [pdf] @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}
}
|
 | D. Cao; P. Roetzer; F. Bernard In: International Conference on 3D Vision (3DV), 2024. [pdf] @article{nokey,
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}
}
|
 | T. Yenamandra; A. Tewari; N. Yang; F. Bernard; C. Theobalt; D. Cremers In: Winter Conference on Applications of Computer Vision (WACV), 2024. [pdf] @article{nokey,
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}
}
|
2023
|
 | P. Swoboda; A. Abbas; F. Bernard; A. Hornáková; P. Roetzer; B. Savchynskyy In: arXiv, 2023. [pdf] @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}
}
|
 | M. Gao; P. Roetzer; M. Eisenberger; Z. Laehner; M. Moeller; D. Cremers; F. Bernard In: International Conference on Computer Vision (ICCV), 2023. [pdf] [code] @article{gao2023,
title = {SIGMA: Scale-Invariant Global Sparse Shape Matching},
author = {M. Gao and P. Roetzer and M. Eisenberger and Z. Laehner 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}
}
|
 | D. Cao; P. Roetzer; F. Bernard In: SIGGRAPH / ACM Transactions on Graphics (TOG), 2023. [pdf] [code] [project page] @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}
}
|
 | D. Cao; F. Bernard In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [pdf] [code]
@article{nokey,
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}
}
|
 | P. Roetzer; Z. Laehner; F. Bernard In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [pdf] [code] @article{roetzer2022conjugateb,
title = {Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching},
author = {P. Roetzer and Z. Laehner 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}
}
|
 | V. Ehm; D. Cremers; F. Bernard In: Eurographics (Poster), 2023. [pdf] @article{ehm2023,
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}
}
|
 | J. Thunberg; F. Bernard In: Scandinavian Conference on Image Analysis (SCIA), 2023. [pdf] @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}
}
|
 | Z. Nurlanov; F. R. Schmidt; F. Bernard In: AAAI Conference on Artificial Intelligence, 2023. [pdf]
@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}
}
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. |
 | F. Hofherr; L. Koestler; F. Bernard; D. Cremers In: Winter Conference on Applications of Computer Vision (WACV), 2023. [pdf] [code] [project page] @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}
}
|
2022
|
 | J. Wang; D. Luvizon; F. Mueller; F. Bernard; A. Kortylewski; D. Casas; C. Theobalt In: International Symposium on Vision, Modeling, and Visualization (VMV), 2022. [pdf]
@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}
}
|
 | D. Cao; F. Bernard In: European Conference on Computer Vision (ECCV), 2022. [pdf] [code] @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}
}
|
 | S. Haller; L. Feineis; L. Hutschenreiter; F. Bernard; C. Rother; D. Kainmueller; P. Swoboda; B. Savchynskyy In: European Conference on Computer Vision (ECCV), 2022. [pdf] [project page] @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}
}
|
 | Z. Nurlanov; D. Cremers; F. Bernard In: International Conference on Pattern Recognition (ICPR), 2022. [pdf] [code] @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}
}
|
 | P. Roetzer; P. Swoboda; D. Cremers; F. Bernard In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [pdf] [code] @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}
}
|
 | M. Eisenberger; A. Toker; L. Leal-Taixe; F. Bernard; D. Cremers In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [pdf] [code] @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}
}
|
 | Z. Ye; T. Yenamandra; F. Bernard; D. Cremers In: AAAI Conference on Artificial Intelligence, 2022. [pdf] @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}
}
|
 | D. Muhle; L. Koestler; N. Demmel; F. Bernard; D. Cremers In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [pdf] [code] [project page] @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}
}
|
2021
|
 | M. Krahn; F. Bernard; V. Golyanik In: International Conference on 3D Vision (3DV), 2021. [pdf] [code] @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}
}
|
 | T. Yenamandra; A. Tewari; F. Bernard; H. -P. Seidel; M. Elgharib; D. Cremers; C. Theobalt In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [pdf] [code]
@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}
}
|
 | M. Gao; Z. Laehner; J. Thunberg; D. Cremers; F. Bernard In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [pdf] [code] [video]
@article{gao2020,
title = {Isometric Multi-Shape Matching},
author = {M. Gao and Z. Laehner 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}
}
|
 | L. Liu; W. Xu; M. Habermann; M. Zollhoefer; F. Bernard; H. Kim; W. Wang; C. Theobalt In: IEEE Transactions on Visualization and Computer Graphics, 2021. [pdf] @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}
}
|
 | F. Bernard; D. Cremers; J. Thunberg In: NeurIPS, 2021. [pdf] [code] @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}
}
|
 | V. Ehm; D. Cremers; F. Bernard In: International Conference on 3D Vision (3DV), 2021. [pdf] [code] @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}
}
|
2020
|
 | F. Bernard; Z. Khan Suri; C. Theobalt In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [pdf] @inproceedings{Bernard:2020,
title = {MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment},
author = {F. Bernard and Z. Khan Suri and C. Theobalt},
url = {https://arxiv.org/pdf/2002.12623.pdf},
year = {2020},
date = {2020-06-01},
urldate = {2020-06-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | A. Tewari; M. Elgharib; G. Bharaj; F. Bernard; H. -P. Seidel; P. Perez; M. Zollhoefer; C. Theobalt In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [pdf]
@inproceedings{Tewari:2020,
title = {StyleRig: Rigging StyleGAN for 3D Control over Portrait Images},
author = {A. Tewari and M. Elgharib and G. Bharaj and F. Bernard and H. -P. Seidel and P. Perez and M. Zollhoefer and C. Theobalt},
url = {http://gvv.mpi-inf.mpg.de/projects/StyleRig/data/paper.pdf},
year = {2020},
date = {2020-06-01},
urldate = {2020-06-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | J. Wang; F. Müller; F. Bernard; C. Theobalt In: IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2020. [pdf] @inproceedings{Wang2020,
title = {Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation},
author = {J. Wang and F. M\"{u}ller and F. Bernard and C. Theobalt},
url = {https://arxiv.org/pdf/2007.03073.pdf},
year = {2020},
date = {2020-05-01},
urldate = {2020-05-01},
booktitle = {IEEE International Conference on Automatic Face and Gesture Recognition (FG)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | B. Egger; W. A. P. Smith; A. Tewari; S. Wuhrer; M. Zollhoefer; T. Beeler; F. Bernard; T. Bolkart; A. Kortylewski; S. Romdhani; C. Theobalt; V. Blanz; T. Vetter In: ACM Transactions on Graphics (TOG), 2020. [pdf] @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}
}
|
 | N. Qian; J. Wang; F. Mueller; F. Bernard; V. Golyanik; C. Theobalt In: European Conference on Computer Vision (ECCV), 2020. [pdf] @inproceedings{Qian:2020,
title = {Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization},
author = {N. Qian and J. Wang and F. Mueller and F. Bernard and V. Golyanik and C. Theobalt},
url = {https://pure.mpg.de/rest/items/item_3238376/component/file_3238377/content},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | A. Tewari; M. Elgharib; M. BR; F. Bernard; H. -P. Seidel; P. Perez; M. Zollhoefer; C. Theobalt In: ACM Transactions on Graphics (TOG), 2020. [pdf]
@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}
}
|
 | J. Wang; F. Mueller; F. Bernard; S. Sorli; O. Sotnychenko; N. Qian; M. A. Otaduy; D. Casas; C. Theobalt In: ACM Transactions on Graphics (TOG), 2020. [pdf]
@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}
}
|
2019
|
 | F. Bernard; J. Thunberg; P. Swoboda; C. Theobalt In: International Conference on Computer Vision (ICCV), 2019. [pdf] @inproceedings{Bernard2019hippi,
title = {HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching},
author = {F. Bernard and J. Thunberg and P. Swoboda and C. Theobalt},
url = {https://arxiv.org/pdf/1811.10541.pdf},
year = {2019},
date = {2019-10-01},
urldate = {2019-10-01},
booktitle = {International Conference on Computer Vision (ICCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | T. Yenamandra; F. Bernard; J. Wang; F. Müller; C. Theobalt In: International Conference on 3DVision (3DV), 2019. [pdf]
@inproceedings{Yenamandra2019,
title = {Convex Optimisation for Inverse Kinematics},
author = {T. Yenamandra and F. Bernard and J. Wang and F. M\"{u}ller and C. Theobalt},
url = {https://arxiv.org/pdf/1910.11016.pdf},
year = {2019},
date = {2019-09-01},
urldate = {2019-09-01},
booktitle = {International Conference on 3DVision (3DV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | P. Swoboda; A. Mokarian; D. Kainmueller; C. Theobalt; F. Bernard In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [pdf]
@inproceedings{Swoboda:2019,
title = {A convex relaxation for multi-graph matching},
author = {P. Swoboda and A. Mokarian and D. Kainmueller and C. Theobalt and F. Bernard},
url = {http://openaccess.thecvf.com/content_CVPR_2019/papers/Swoboda_A_Convex_Relaxation_for_Multi-Graph_Matching_CVPR_2019_paper.pdf},
year = {2019},
date = {2019-06-01},
urldate = {2019-06-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | A. Tewari; F. Bernard; P. Garrido; G. Bharaj; M. Elgharib; H. -P. Seidel; P. Perez; M. Zollhoefer; C. Theobalt In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [pdf]
@inproceedings{Tewari:2019,
title = {FML: Face Model Learning from Videos},
author = {A. Tewari and F. Bernard and P. Garrido and G. Bharaj and M. Elgharib and H. -P. Seidel and P. Perez and M. Zollhoefer and C. Theobalt},
url = {https://arxiv.org/pdf/1812.07603.pdf},
year = {2019},
date = {2019-06-01},
urldate = {2019-06-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | L. Liu; W. Xu; M. Zollhoefer; H. Kim; F. Bernard; M. Habermann; W. Wang; C. Theobalt In: ACM Transactions on Graphics (TOG), 2019. [pdf] [video] [project page]
@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}
}
|
 | F. Mueller; M. Davis; F. Bernard; O. Sotnychenko; M. Verschoor; M. A. Otaduy; D. Casas; C. Theobalt In: ACM Transactions on Graphics (TOG), 2019. [pdf]
@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}
}
|
 | F. Bernard; J. Thunberg; J. Goncalves; C. Theobalt In: Pattern Recognition, vol. 92, pp. 22-37, 2019. [pdf] [code] @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}
}
|
2018
|
 | J. Thunberg; J. Markdahl; F. Bernard; J. Goncalves In: Automatica, vol. 96, pp. 253-258, 2018. [pdf] @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}
}
|
 | K. Sarkar; F. Bernard; K. Varanasi; C. Theobalt; D. Stricker In: International Conference on 3DVision (3DV), 2018. [pdf] @inproceedings{Sarkar:2018a,
title = {Structured Low-Rank Matrix Factorisation for Point-Cloud Denoising},
author = {K. Sarkar and F. Bernard and K. Varanasi and C. Theobalt and D. Stricker},
url = {http://gvv.mpi-inf.mpg.de/projects/3dv_denoising/sarkar_et_al-pointcloud_denoising_3dv_2018.pdf},
year = {2018},
date = {2018-09-01},
urldate = {2018-09-01},
booktitle = {International Conference on 3DVision (3DV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | K. Sarkar; F. Bernard; K. Varanasi; C. Theobalt; D. Stricker In: Symposium on Geometry Processing (SGP), 2018. [pdf]
@inproceedings{Sarkar:2018b,
title = {Denoising of point-clouds based on structured dictionary learning},
author = {K. Sarkar and F. Bernard and K. Varanasi and C. Theobalt and D. Stricker},
url = {https://diglib.eg.org/bitstream/handle/10.2312/sgp20181180/005-006.pdf},
year = {2018},
date = {2018-07-01},
urldate = {2018-07-01},
booktitle = {Symposium on Geometry Processing (SGP)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | F. Bernard; C. Theobalt; M. Moeller In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [pdf] [code] @inproceedings{Bernard:2018,
title = {DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems},
author = {F. Bernard and C. Theobalt and M. Moeller},
url = {https://arxiv.org/pdf/1711.10733},
year = {2018},
date = {2018-06-01},
urldate = {2018-06-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | F. Mueller; F. Bernard; O. Sotnychenko; D. Mehta; S. Sridhar; D. Casas; C. Theobalt In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [pdf] [video] [project page]
@inproceedings{Mueller:2018,
title = {GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB},
author = {F. Mueller and F. Bernard and O. Sotnychenko and D. Mehta and S. Sridhar and D. Casas and C. Theobalt},
url = {https://arxiv.org/pdf/1712.01057},
year = {2018},
date = {2018-06-01},
urldate = {2018-06-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | A. Tewari; M. Zollhöfer; P. Garrido; F. Bernard; H. Kim; P. Pérez; C. Theobalt In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [pdf] [video] [project page]
@inproceedings{Tewari:2018,
title = {Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz},
author = {A. Tewari and M. Zollh\"{o}fer and P. Garrido and F. Bernard and H. Kim and P. P\'{e}rez and C. Theobalt},
url = {https://arxiv.org/pdf/1712.02859},
year = {2018},
date = {2018-06-01},
urldate = {2018-06-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | N. Robertini; F. Bernard; W. Xu; C. Theobalt In: IEEE Winter Conf. on Applications of Computer Vision, 2018. [pdf] [video] [project page] @inproceedings{Robertini:2018,
title = {Illumination-invariant Robust Multiview 3D Human Motion Capture},
author = {N. Robertini and F. Bernard and W. Xu and C. Theobalt},
url = {http://gvv.mpi-inf.mpg.de/projects/IntrinsicMoCap/content/paper.pdf},
year = {2018},
date = {2018-03-01},
urldate = {2018-03-01},
booktitle = {IEEE Winter Conf. on Applications of Computer Vision},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | A. Tewari; M. Zollhoefer; F. Bernard; H. Kim P. Garrido; P. Perez; C. Theobalt In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018. [pdf] [project page] @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}
}
|
2017
|
 | J. Thunberg; F. Bernard; J. Goncalves In: IEEE Conference on Decision and Control (CDC), 2017. [pdf] @inproceedings{Thunberg:2017,
title = {Distributed Synchronization of Euclidean Transformations with Guaranteed Convergence},
author = {J. Thunberg and F. Bernard and J. Goncalves},
url = {http://orbilu.uni.lu/bitstream/10993/34953/1/orbi_version.pdf},
year = {2017},
date = {2017-12-01},
urldate = {2017-12-01},
booktitle = {IEEE Conference on Decision and Control (CDC)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | A. Tewari; M. Zollhöfer; H. Kim; P. Garrido; F. Bernard; P. Pérez; C. Theobalt In: International Conference on Computer Vision (ICCV), 2017. [pdf] [video] [project page]
@inproceedings{Tewari:2017,
title = {MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction},
author = {A. Tewari and M. Zollh\"{o}fer and H. Kim and P. Garrido and F. Bernard and P. P\'{e}rez and C. Theobalt},
url = {https://arxiv.org/pdf/1703.10580},
year = {2017},
date = {2017-10-01},
urldate = {2017-10-01},
booktitle = {International Conference on Computer Vision (ICCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | F. Bernard; F. R. Schmidt; J. Thunberg; D. Cremers In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [pdf] @inproceedings{Bernard:2016tq,
title = {A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching},
author = {F. Bernard and F. R. Schmidt and J. Thunberg and D. Cremers},
url = {https://arxiv.org/pdf/1611.05241},
year = {2017},
date = {2017-07-01},
urldate = {2017-07-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | J. Thunberg; F. Bernard; J. Goncalves In: Automatica, vol. 80, pp. 243-252, 2017. [pdf] @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}
}
|
 | F. Bernard; L. Salamanca; J. Thunberg; A. Tack; D. Jentsch; H. Lamecker; S. Zachow; F. Hertel; J. Goncalves; P. Gemmar In: Medical Image Analysis, vol. 38, pp. 77-89, 2017. [pdf] [code] @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}
}
|
2016
|
 | F. Bernard In: PhD Thesis. University of Luxembourg, 2016. [pdf]
@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}
}
|
 | Fast Correspondences for Statistical Shape Models of Brain Structures F. Bernard; N. Vlassis; P. Gemmar; A. Husch; J. Thunberg; J. Goncalves; F. Hertel In: SPIE Medical Imaging, 2016. [code] @inproceedings{Bernard:2016spie,
title = {Fast Correspondences for Statistical Shape Models of Brain Structures},
author = {F. Bernard and N. Vlassis and P. Gemmar and A. Husch and J. Thunberg and J. Goncalves and F. Hertel},
year = {2016},
date = {2016-03-01},
urldate = {2016-03-01},
booktitle = {SPIE Medical Imaging},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | F. Bernard; P. Gemmar; F. Hertel; J. Goncalves; J. Thunberg In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [pdf] [code] [video] @inproceedings{Bernard:2016cvpr,
title = {Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation},
author = {F. Bernard and P. Gemmar and F. Hertel and J. Goncalves and J. Thunberg},
url = {https://arxiv.org/pdf/1510.08291},
year = {2016},
date = {2016-00-01},
urldate = {2016-00-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2015
|
 | L. Salamanca; N. Vlassis; N. Diederich; F. Bernard; A. Skupin In: Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015. [pdf] @inproceedings{Salamanca:2015,
title = {Improved Parkinson's disease classification from diffusion MRI data by Fisher vector descriptors},
author = {L. Salamanca and N. Vlassis and N. Diederich and F. Bernard and A. Skupin},
url = {https://link.springer.com/content/pdf/10.1007%2F978-3-319-24571-3_15.pdf},
year = {2015},
date = {2015-10-01},
urldate = {2015-10-01},
booktitle = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | F. Bernard; J. Thunberg; A. Husch; L. Salamanca; P. Gemmar; F. Hertel; J. Goncalves In: MICCAI Workshop on Spectral Analysis in Medical Imaging, 2015. [pdf] @inproceedings{Bernard:2015sami,
title = {Transitively Consistent and Unbiased Multi-Image Registration using Numerically Stable Transformation Synchronisation},
author = {F. Bernard and J. Thunberg and A. Husch and L. Salamanca and P. Gemmar and F. Hertel and J. Goncalves},
url = {http://www.midasjournal.org/download/viewpdf/960/1/download},
year = {2015},
date = {2015-10-01},
urldate = {2015-10-01},
booktitle = {MICCAI Workshop on Spectral Analysis in Medical Imaging},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | J. Thunberg; F. Bernard; J. Goncalves In: arXiv, 2015. [pdf] [code] @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}
}
|
 | F. Bernard; L. Salamanca; J. Thunberg; F. Hertel; J. Goncalves; P. Gemmar In: Proceedings of Shape Symposium, 2015. [pdf] [code]
@inproceedings{Bernard:2015shape,
title = {Shape-aware 3D Interpolation using Statistical Shape Models},
author = {F. Bernard and L. Salamanca and J. Thunberg and F. Hertel and J. Goncalves and P. Gemmar},
url = {http://shapesymposium.org/proceedings-screen.pdf},
year = {2015},
date = {2015-09-01},
urldate = {2015-09-01},
booktitle = {Proceedings of Shape Symposium},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | F. Hertel; A. Husch; G. Dooms; F. Bernard; P. Gemmar In: Stereotactic and Functional Neurosurgery, vol. 93 (5), pp. 303-308, 2015. [pdf] @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}
}
|
 | F. Bernard; J. Thunberg; P. Gemmar; F. Hertel; A. Husch; J. Goncalves In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [pdf] [code] @inproceedings{Bernard:2015cvpr,
title = {A Solution for Multi-Alignment by Transformation Synchronisation},
author = {F. Bernard and J. Thunberg and P. Gemmar and F. Hertel and A. Husch and J. Goncalves},
url = {https://arxiv.org/pdf/1410.8546.pdf},
year = {2015},
date = {2015-06-01},
urldate = {2015-06-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | A. Husch; P. Gemmar; J. Lohscheller; F. Bernard; F. Hertel In: Bildverarbeitung für die Medizin, 2015. [pdf] @inproceedings{Husch:2015,
title = {Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation},
author = {A. Husch and P. Gemmar and J. Lohscheller and F. Bernard and F. Hertel},
url = {https://link.springer.com/chapter/10.1007%2F978-3-662-46224-9_15#page-1},
year = {2015},
date = {2015-03-01},
urldate = {2015-03-01},
booktitle = {Bildverarbeitung f\"{u}r die Medizin},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2014
|
 | Interactive Hierarchical Segmentation for Deep Brain Structure Identification F. Bernard; P. Gemmar; A. Husch; C. Saleh; F. Hertel In: 10th Annual Meeting of the German Society of Neuromodulation (DGNM), 2014. @inproceedings{Bernard:2014ins,
title = {Interactive Hierarchical Segmentation for Deep Brain Structure Identification},
author = {F. Bernard and P. Gemmar and A. Husch and C. Saleh and F. Hertel},
year = {2014},
date = {2014-11-01},
urldate = {2014-11-01},
booktitle = {10th Annual Meeting of the German Society of Neuromodulation (DGNM)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equalisation F. Bernard; P. Gemmar; A. Husch; C. Saleh; H. Neb; G. Dooms; F. Hertel In: Proc. BMT, Biomed Tech, 2014. @inproceedings{Bernard:2014bmt,
title = {Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equalisation},
author = {F. Bernard and P. Gemmar and A. Husch and C. Saleh and H. Neb and G. Dooms and F. Hertel},
year = {2014},
date = {2014-10-01},
urldate = {2014-10-01},
booktitle = {Proc. BMT, Biomed Tech},
volume = {59 (Suppl. 1)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Influence of the electrode-electrolyte interface on the electric field in Deep Brain Stimulation R. P. Bremm; F. Bernard; A. Husch; H. Neb; P. Gemmar; K. P. Koch; F. Hertel In: Proc. BMT, Biomed Tech, 2014. @inproceedings{Bremm:2014bmt,
title = {Influence of the electrode-electrolyte interface on the electric field in Deep Brain Stimulation},
author = {R. P. Bremm and F. Bernard and A. Husch and H. Neb and P. Gemmar and K. P. Koch and F. Hertel},
year = {2014},
date = {2014-10-01},
urldate = {2014-10-01},
booktitle = {Proc. BMT, Biomed Tech},
volume = {59 (Suppl. 1)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | F. Bernard; P. Gemmar; A. Husch; F. Hertel In: Proceedings of Shape Symposium, 2014. [pdf] @inproceedings{Bernard:2014shape,
title = {ASMTB: An Extensible Development Environment for 3D Segmentations based on Active Shape Models},
author = {F. Bernard and P. Gemmar and A. Husch and F. Hertel},
url = {http://shapesymposium.org/2014/Proceedings.pdf},
year = {2014},
date = {2014-06-01},
urldate = {2014-06-01},
booktitle = {Proceedings of Shape Symposium},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Automatic Segmentation of Brain Structures for Neurosurgery F. Bernard In: Joint poster session of Machine Learning Summer School & AISTATS, 2014. @inproceedings{Bernard:2014mlss,
title = {Automatic Segmentation of Brain Structures for Neurosurgery},
author = {F. Bernard},
year = {2014},
date = {2014-04-01},
urldate = {2014-04-01},
booktitle = {Joint poster session of Machine Learning Summer School \& AISTATS},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2013
|
 | Eyelid Contour Detection and Tracking for Startle Research related Eye-Blink Measurements from High-Speed Video Records F. Bernard; C. E. Deuter; P. Gemmar; H. Schachinger In: Computer Methods and Programs in Biomedicine, vol. 112 (1), pp. 22-37, 2013. @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}
}
|
 | P. Gemmar; F. Bernard; A. Husch; P. Martini; K. -P. Koch; F. Hertel In: Proc. BMT, Biomed Tech, 2013. [pdf] @inproceedings{Gemmar:2013,
title = {Computer aided Planning and Navigation for Patient-Specific Deep Brain Stimulation},
author = {P. Gemmar and F. Bernard and A. Husch and P. Martini and K. -P. Koch and F. Hertel},
url = {https://www.degruyter.com/downloadpdf/j/bmte.2013.58.issue-s1-L/bmt-2013-4255/bmt-2013-4255.pdf},
year = {2013},
date = {2013-09-01},
urldate = {2013-09-01},
booktitle = {Proc. BMT, Biomed Tech},
volume = {58 (Suppl. 1)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | An Approach on the Quantification of Uncertainties in the MRI-defined Subthalamic Nucleus A. Husch; F. Bernard; F. Hertel; P. Gemmar In: 9th Annual Meeting of the German Society of Neuromodulation (DGNM), 2013. @inproceedings{Husch:2013ins,
title = {An Approach on the Quantification of Uncertainties in the MRI-defined Subthalamic Nucleus},
author = {A. Husch and F. Bernard and F. Hertel and P. Gemmar},
year = {2013},
date = {2013-06-01},
urldate = {2013-06-01},
booktitle = {9th Annual Meeting of the German Society of Neuromodulation (DGNM)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Patient-specific Modelling of the Subthalamic Nucleus for Deep Brain Stimulation Targeting F. Bernard; A. Husch; F. Hertel; P. Gemmar In: 9th Annual Meeting of the German Society of Neuromodulation (DGNM), 2013. @inproceedings{Bernard:2013ins,
title = {Patient-specific Modelling of the Subthalamic Nucleus for Deep Brain Stimulation Targeting},
author = {F. Bernard and A. Husch and F. Hertel and P. Gemmar},
year = {2013},
date = {2013-06-01},
urldate = {2013-06-01},
booktitle = {9th Annual Meeting of the German Society of Neuromodulation (DGNM)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Kontaktfreie, videobasierte Erfassung der Blinzelaktivität G. Fischer; C. E. Deuter; F. Bernard; P. Gemmar; H. Schächinger In: Proc. "Psychologie und Gehirn", 2013. @inproceedings{Fischer:2013,
title = {Kontaktfreie, videobasierte Erfassung der Blinzelaktivit\"{a}t},
author = {G. Fischer and C. E. Deuter and F. Bernard and P. Gemmar and H. Sch\"{a}chinger},
year = {2013},
date = {2013-00-01},
urldate = {2013-00-01},
booktitle = {Proc. "Psychologie und Gehirn"},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2012
|
 | Road Map for patient-centered 3D Planning and Navigation in Deep Brain Stimulation – Automatic Registration of STN Morphology P. Gemmar; A. Husch; F. Bernard; F. Hertel In: 8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI), 2012. @inproceedings{Gemmar:2012,
title = {Road Map for patient-centered 3D Planning and Navigation in Deep Brain Stimulation \textendash Automatic Registration of STN Morphology},
author = {P. Gemmar and A. Husch and F. Bernard and F. Hertel},
year = {2012},
date = {2012-11-01},
urldate = {2012-11-01},
booktitle = {8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | Suite for Computer Supported Planning and Navigation in Deep Brain Stimulation A. Husch; F. Bernard; F. Hertel; P. Gemmar In: 8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI), 2012. @inproceedings{Husch:2012,
title = {Suite for Computer Supported Planning and Navigation in Deep Brain Stimulation},
author = {A. Husch and F. Bernard and F. Hertel and P. Gemmar},
year = {2012},
date = {2012-11-01},
urldate = {2012-11-01},
booktitle = {8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | SWAN Sequence in Comparison to T2 for STN Visualization in DBS Surgery N. Gunnes; A. Husch; F. Bernard; P. Gemmar; G. Dooms; F. Hertel In: 8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI), 2012. @inproceedings{Gunnes:2012,
title = {SWAN Sequence in Comparison to T2 for STN Visualization in DBS Surgery},
author = {N. Gunnes and A. Husch and F. Bernard and P. Gemmar and G. Dooms and F. Hertel},
year = {2012},
date = {2012-11-01},
urldate = {2012-11-01},
booktitle = {8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
 | F. Bernard; P. Gemmar; A. Husch; F. Hertel In: Proc. BMT, Biomed Tech, 2012. [pdf] @inproceedings{Bernard:2012,
title = {Improvements on the Feasibility of Active Shape Model-based Subthalamic Nucleus Segmentation},
author = {F. Bernard and P. Gemmar and A. Husch and F. Hertel},
url = {https://www.degruyter.com/view/j/bmte.2012.57.issue-s1-B/bmt-2012-4333/bmt-2012-4333.xml},
year = {2012},
date = {2012-08-01},
urldate = {2012-08-01},
booktitle = {Proc. BMT, Biomed Tech},
volume = {57 (Suppl. 1)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|