{"id":613,"date":"2022-05-04T11:52:42","date_gmt":"2022-05-04T10:52:42","guid":{"rendered":"http:\/\/lovc.informatik.uni-bonn.de\/?page_id=613"},"modified":"2024-07-18T08:36:24","modified_gmt":"2024-07-18T07:36:24","slug":"publications","status":"publish","type":"page","link":"https:\/\/lovc.cs.uni-bonn.de\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
<\/a><\/form>\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n

2026<\/h3>\n <\/td>\n <\/tr>

\"Jailbreaking<\/td>
Jailbreaking LLMs Without Gradients or Priors: Effective and Transferable Attacks<\/div>
Z. Nurlanov, F. R. Schmidt, F. Bernard<\/div>
In: <\/span>International Conference on Pattern Recognition (ICPR), <\/span>2026<\/span>.<\/div>
@article{nurlanov2026,
\r\ntitle = {Jailbreaking LLMs Without Gradients or Priors: Effective and Transferable Attacks},
\r\nauthor = {Z. Nurlanov and F. R. Schmidt and F. Bernard},
\r\nyear  = {2026},
\r\ndate = {2026-08-01},
\r\njournal = {International Conference on Pattern Recognition (ICPR)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
\"Fast<\/td>
Fast Markov Random Field Optimisation for Topologically Noisy 3D Shape Matching<\/div>
P. Roetzer, J. Thunberg, Z. L\u00e4hner, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2026<\/span>.<\/div>
@article{roetzercvpr26,
\r\ntitle = {Fast Markov Random Field Optimisation for Topologically Noisy 3D Shape Matching},
\r\nauthor = {P. Roetzer and J. Thunberg and Z. L\\\"{a}hner and F. Bernard},
\r\nyear  = {2026},
\r\ndate = {2026-06-19},
\r\njournal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
\"Teaching<\/td>
Teaching DINOv3 About Partial 3D Geometry: A Self-Supervised Geometry-Aware Approach<\/div>
V. Ehm, D. Cao, R. Marin, D. Scholz, W. Wang, F. Bernard, D. Cremers<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2026<\/span>.<\/div>
@article{ehmcvpr2026,
\r\ntitle = {Teaching DINOv3 About Partial 3D Geometry: A Self-Supervised Geometry-Aware Approach},
\r\nauthor = {V. Ehm and D. Cao and R. Marin and D. Scholz and W. Wang and F. Bernard and D. Cremers},
\r\nyear  = {2026},
\r\ndate = {2026-06-18},
\r\nurldate = {2026-06-18},
\r\njournal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
\"Non-Rigid<\/td>
Non-Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities<\/div>
A. Zhuravlev, B. Lennart, D. Cao, N. El Amrani, P. Roetzer, V. Ehm, R. Marin, H. Nishizawa, S. Morishima, C. Theobalt, and N. Navab, D. Cremers, F. Bernard, Z. L\u00e4hner, V. Golyanik<\/div>
In: <\/span>Eurographics STAR, <\/span>2026<\/span>.<\/div>
@article{zhuravlev2026,
\r\ntitle = {Non-Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities},
\r\nauthor = {A. Zhuravlev and B. Lennart and D. Cao and N. El Amrani and P. Roetzer and V. Ehm and R. Marin and H. Nishizawa and S. Morishima and C. Theobalt and and N. Navab and D. Cremers and F. Bernard and Z. L\\\"{a}hner and V. Golyanik},
\r\nyear  = {2026},
\r\ndate = {2026-05-04},
\r\nurldate = {2026-05-04},
\r\njournal = {Eurographics STAR},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
\"Hyper<\/td>
Hyper Diffusion Avatars: Dynamic Human Avatar Generation using Network Weight Space Diffusion<\/a><\/div>
D. Cao, G. Sun, M. Habermann, F. Bernard<\/div>
In: <\/span>International Conference on 3D Vision (3DV), <\/span>2026<\/span>.<\/div>[pdf] <\/a>
\"Symmetry<\/td>
Symmetry Informative and Agnostic Feature Disentanglement for 3D Shapes<\/a><\/div>
T. Wei\u00dfberg, W. Wang, P. Roetzer, N. El Amrani, F. Bernard<\/div>
In: <\/span>International Conference on 3D Vision (3DV), <\/span>2026<\/span>.<\/div>[pdf] <\/a>
\"\t<\/td>
\t An Integer Linear Programming Approach to Geometrically Consistent Partial-Partial Shape Matching<\/a><\/div>
V. Ehm, P. Roetzer, F. Bernard, D. Cremers<\/div>
In: <\/span>International Conference on 3D Vision (3DV), <\/span>2026<\/span>.<\/div>[pdf] <\/a>
\"TwoSquared:<\/td>
TwoSquared: 4D Generation from 2D Image Pairs<\/a><\/div>
L. Sang, Z. Canfes, R. Marin, D. Cao, F. Bernard, D. Cremers<\/div>
In: <\/span>International Conference on 3D Vision (3DV), <\/span>2026<\/span>.<\/div>[pdf] <\/a>
\n

2025<\/h3>\n <\/td>\n <\/tr>

\"Fast<\/td>
Fast Globally Optimal and Geometrically Consistent 3D Shape Matching<\/a><\/div>
P. Roetzer, F. Bernard<\/div>
In: <\/span>International Conference on Computer Vision (ICCV), <\/span>2025<\/span>.<\/div>[pdf] <\/a>
selected as highlight (2.3% of submissions) <\/span>
\"Symmetry<\/td>
Symmetry Understanding of 3D Shapes via Chirality Disentanglement<\/a><\/div>
W. Wang, T. Wei\u00dfberg, N. El Amrani, F. Bernard<\/div>
In: <\/span>International Conference on Computer Vision (ICCV), <\/span>2025<\/span>.<\/div>[pdf] <\/a>[project page] <\/a>[code] <\/a>
\"Beyond<\/td>
Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Matching Algorithms<\/a><\/div>
V. Ehm, N. El Amrani, Y. Xie, L. Bastian, M. Gao, W. Wang, L. Sang, D. Cao, T. Wei\u00dfberg, Z. L\u00e4hner, D. Cremers, F. Bernard<\/div>
In: <\/span>Computer Graphics Forum (CGF) \/ Symposium on Geometry Processing (SGP), <\/span>2025<\/span>.<\/div>[pdf] <\/a>[project page] <\/a>[code] <\/a>
\"High-Resolution<\/td>
High-Resolution 3D Shape Matching with Global Optimality and Geometric Consistency <\/a><\/div>
N. El Amrani, P. Roetzer, F. Bernard<\/div>
In: <\/span>Computer Graphics Forum (CGF) \/ Symposium on Geometry Processing (SGP), <\/span>2025<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"Higher-Order<\/td>
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching<\/a><\/div>
P. Roetzer, V. Ehm, D. Cremers, Z. L\u00e4hner, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2025<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"EchoMatch:<\/td>
EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection<\/a><\/div>
Y. Xie, V. Ehm, P. Roetzer, N. El Amrani, M. Gao, F. Bernard, D. Cremers<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2025<\/span>.<\/div>[pdf] <\/a>[project page] <\/a>[code] <\/a>
\"Towards<\/td>
Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging<\/a><\/div>
M. Kahl, S. Stricker, L. Hutschenreiter, F. Bernard, C. Rother, B. Savchynskyy<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2025<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"4Deform:<\/td>
4Deform: Neural Surface Deformation for Robust Shape Interpolation<\/a><\/div>
L. Sang, Z. Canfes, D. Cao, R. Marin, F. Bernard, D. Cremers<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2025<\/span>.<\/div>[pdf] <\/a>[project page] <\/a>[code] <\/a>
\"Implicit<\/td>
Implicit Neural Surface Deformation with Explicit Velocity Fields<\/a><\/div>
L. Sang, Z. Canfes, D. Cao, F. Bernard, D. Cremers<\/div>
In: <\/span>International Conference on Learning Representations (ICLR), <\/span>2025<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"Approximate<\/td>
Approximate 2D-3D Shape Matching for Interactive Applications<\/a><\/div>
C. Petzsch, P. Roetzer, Z. L\u00e4hner, F. Bernard<\/div>
In: <\/span>International Conference on 3D Vision (3DV), <\/span>2025<\/span>.<\/div>[pdf] <\/a>
\n

2024<\/h3>\n <\/td>\n <\/tr>

\"C2M3:<\/td>
C2M3: Cycle-Consistent Multi-Model Merging<\/a><\/div>
D. Crisostomi, M. Fumero, D. Baiero, F. Bernard, E. Rodola<\/div>
In: <\/span>NeurIPS, <\/span>2024<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"A<\/td>
A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning<\/a><\/div>
N. El Amrani, D. Cao, F. Bernard<\/div>
In: <\/span>Medical Image Computing and Computer Assisted Intervention (MICCAI), <\/span>2024<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"Synchronous<\/td>
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching<\/a><\/div>
D. Cao, Z. L\u00e4hner, F. Bernard<\/div>
In: <\/span>European Conference on Computer Vision (ECCV), <\/span>2024<\/span>.<\/div>[pdf] <\/a>
\"DiscoMatch:<\/td>
DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching<\/a><\/div>
P. Roetzer, A. Abbas, D. Cao, F. Bernard, P. Swoboda<\/div>
In: <\/span>European Conference on Computer Vision (ECCV), <\/span>2024<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"Adaptive<\/td>
Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs<\/a><\/div>
Z. Nurlanov, F. R. Schmidt, F. Bernard<\/div>
In: <\/span>European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), <\/span>2024<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"SpiderMatch:<\/td>
SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency<\/a><\/div>
P. Roetzer, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2024<\/span>.<\/div>[pdf] <\/a>[code] <\/a>[Article in Computer Vision News] <\/a>
Best Student Paper Runner-Up <\/span>(selected as oral) <\/span>
\"Spectral<\/td>
Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation<\/a><\/div>
D. Cao, M. Eisenberger, N. El Amrani, D. Cremers, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2024<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"Partial-to-Partial<\/td>
Partial-to-Partial Shape Matching with Geometric Consistency<\/a><\/div>
V. Ehm, M. Gao, P. Roetzer, M. Eisenberger, D. Cremers, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2024<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"Unsupervised<\/td>
Unsupervised 3D Structure Inference from Category-Specific Image Collections<\/a><\/div>
W. Wang, D. Cao, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2024<\/span>.<\/div>[pdf] <\/a>
\"Unlocking<\/td>
Unlocking the Potential of Operations Research for Multi-Graph Matching<\/a><\/div>
M. Kahl, S. Stricker, L. Hutschenreiter, F. Bernard, B. Savchynskyy<\/div>
In: <\/span>arXiv, <\/span>2024<\/span>.<\/div>[pdf] <\/a>
\"Geometrically<\/td>
Geometrically Consistent Partial Shape Matching<\/a><\/div>
V. Ehm, P. Roetzer, M. Eisenberger, M. Gao, F. Bernard, D. Cremers<\/div>
In: <\/span>International Conference on 3D Vision (3DV), <\/span>2024<\/span>.<\/div>[pdf] <\/a>
\"Revisiting<\/td>
Revisiting Map Relations for Unsupervised Non-Rigid Shape Matching<\/a><\/div>
D. Cao, P. Roetzer, F. Bernard<\/div>
In: <\/span>International Conference on 3D Vision (3DV), <\/span>2024<\/span>.<\/div>[pdf] <\/a>
\"FIRe<\/td>
FIRe \ud83d\udd25: Fast Inverse Rendering using Directional and Signed Distance Functions<\/a><\/div>
T. Yenamandra, A. Tewari, N. Yang, F. Bernard, C. Theobalt, D. Cremers<\/div>
In: <\/span>Winter Conference on Applications of Computer Vision (WACV), <\/span>2024<\/span>.<\/div>[pdf] <\/a>
\n

2023<\/h3>\n <\/td>\n <\/tr>

\"Structured<\/td>
Structured Prediction Problem Archive<\/a><\/div>
P. Swoboda, A. Abbas, F. Bernard, A. Horn\u00e1kov\u00e1, P. Roetzer, B. Savchynskyy <\/div>
In: <\/span>arXiv, <\/span>2023<\/span>.<\/div>[pdf] <\/a>
\"SIGMA:<\/td>
SIGMA: Scale-Invariant Global Sparse Shape Matching<\/a><\/div>
M. Gao, P. Roetzer, M. Eisenberger, Z. L\u00e4hner, M. Moeller, D. Cremers, F. Bernard<\/div>
In: <\/span>International Conference on Computer Vision (ICCV), <\/span>2023<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"Unsupervised<\/td>
Unsupervised Learning of Robust Spectral Shape Matching<\/a><\/div>
D. Cao, P. Roetzer, F. Bernard<\/div>
In: <\/span>SIGGRAPH \/ ACM Transactions on Graphics (TOG), <\/span>2023<\/span>.<\/div>[pdf] <\/a>[code] <\/a>[project page] <\/a>
\"Self-Supervised<\/td>
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching<\/a><\/div>
D. Cao, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2023<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
selected as highlight (2.5% of submissions) <\/span>
\"Conjugate<\/td>
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching<\/a><\/div>
P. Roetzer, Z. L\u00e4hner, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2023<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\"Non-Separable<\/td>
Non-Separable Multi-Dimensional Network Flows for Visual Computing<\/a><\/div>
V. Ehm, D. Cremers, F. Bernard<\/div>
In: <\/span>Eurographics (Poster), <\/span>2023<\/span>.<\/div>[pdf] <\/a>
\"Non-Negative<\/td>
Non-Negative Spherical Relaxations for Universe-Free Multi-Matching and Clustering<\/a><\/div>
J. Thunberg, F. Bernard<\/div>
In: <\/span>Scandinavian Conference on Image Analysis (SCIA), <\/span>2023<\/span>.<\/div>[pdf] <\/a>
\"Universe<\/td>
Universe Points Representation Learning for Partial Multi-Graph Matching<\/a><\/div>
Z. Nurlanov, F. R. Schmidt, F. Bernard <\/div>
In: <\/span>AAAI Conference on Artificial Intelligence, <\/span>2023<\/span>.<\/div>[pdf] <\/a>
selected as oral <\/span>
@article{nurlanov2023,
\r\ntitle = {Universe Points Representation Learning for Partial Multi-Graph Matching},
\r\nauthor = {Z. Nurlanov and F. R. Schmidt and F. Bernard },
\r\nurl = {https:\/\/arxiv.org\/abs\/2212.00780},
\r\nyear  = {2023},
\r\ndate = {2023-02-07},
\r\nurldate = {2023-02-07},
\r\njournal = {AAAI Conference on Artificial Intelligence},
\r\nabstract = {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.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
\"Neural<\/td>
Neural Implicit Representations for Physical Parameter Inference from a Single Video<\/a><\/div>
F. Hofherr, L. Koestler, F. Bernard, D. Cremers<\/div>
In: <\/span>Winter Conference on Applications of Computer Vision (WACV), <\/span>2023<\/span>.<\/div>[pdf] <\/a>[code] <\/a>[project page] <\/a>
\n

2022<\/h3>\n <\/td>\n <\/tr>

<\/td>
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow<\/a><\/div>
J. Wang, D. Luvizon, F. Mueller, F. Bernard, A. Kortylewski, D. Casas, C. Theobalt<\/div>
In: <\/span>International Symposium on Vision, Modeling, and Visualization (VMV), <\/span>2022<\/span>.<\/div>[pdf] <\/a>
Best Paper Honorable Mention Award <\/span>
<\/td>
Unsupervised Deep Multi-Shape Matching<\/a><\/div>
D. Cao, F. Bernard<\/div>
In: <\/span>European Conference on Computer Vision (ECCV), <\/span>2022<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
<\/td>
A Comparative Study of Graph Matching Algorithms in Computer Vision<\/a><\/div>
S. Haller, L. Feineis, L. Hutschenreiter, F. Bernard, C. Rother, D. Kainmueller, P. Swoboda, B. Savchynskyy<\/div>
In: <\/span>European Conference on Computer Vision (ECCV), <\/span>2022<\/span>.<\/div>[pdf] <\/a>[project page] <\/a>
<\/td>
Efficient and Flexible Sublabel-Accurate Energy Minimization<\/a><\/div>
Z. Nurlanov, D. Cremers, F. Bernard<\/div>
In: <\/span>International Conference on Pattern Recognition (ICPR), <\/span>2022<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
<\/td>
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching<\/a><\/div>
P. Roetzer, P. Swoboda, D. Cremers, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2022<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
<\/td>
A Unified Framework for Implicit Sinkhorn Differentiation<\/a><\/div>
M. Eisenberger, A. Toker, L. Leal-Taixe, F. Bernard, D. Cremers<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2022<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
<\/td>
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections<\/a><\/div>
Z. Ye, T. Yenamandra, F. Bernard, D. Cremers<\/div>
In: <\/span>AAAI Conference on Artificial Intelligence, <\/span>2022<\/span>.<\/div>[pdf] <\/a>
<\/td>
The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions<\/a><\/div>
D. Muhle, L. Koestler, N. Demmel, F. Bernard, D. Cremers<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2022<\/span>.<\/div>[pdf] <\/a>[code] <\/a>[project page] <\/a>
\n

2021<\/h3>\n <\/td>\n <\/tr>

<\/td>
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations<\/a><\/div>
M. Krahn, F. Bernard, V. Golyanik<\/div>
In: <\/span>International Conference on 3D Vision (3DV), <\/span>2021<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
<\/td>
i3DMM: Deep Implicit 3D Morphable Model of Human Heads<\/a><\/div>
T. Yenamandra, A. Tewari, F. Bernard, H. -P. Seidel, M. Elgharib, D. Cremers, C. Theobalt<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2021<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
selected as oral <\/span>
<\/td>
Learning Dynamic Textures for Neural Rendering of Human Actors<\/a><\/div>
L. Liu, W. Xu, M. Habermann, M. Zollhoefer, F. Bernard, H. Kim, W. Wang, C. Theobalt<\/div>
In: <\/span>IEEE Transactions on Visualization and Computer Graphics, <\/span>2021<\/span>.<\/div>[pdf] <\/a>
<\/td>
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation<\/a><\/div>
F. Bernard, D. Cremers, J. Thunberg<\/div>
In: <\/span>NeurIPS, <\/span>2021<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
<\/td>
Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Applications in 3D Multi-Shape Analysis<\/a><\/div>
V. Ehm, D. Cremers, F. Bernard<\/div>
In: <\/span>International Conference on 3D Vision (3DV), <\/span>2021<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
<\/td>
Isometric Multi-Shape Matching<\/a><\/div>
M. Gao, Z. L\u00e4hner, J. Thunberg, D. Cremers, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2021<\/span>.<\/div>[pdf] <\/a>[code] <\/a>[video] <\/a>
selected as oral <\/span>
\n

2020<\/h3>\n <\/td>\n <\/tr>

<\/td>
MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment<\/a><\/div>
F. Bernard, Z. Khan Suri, C. Theobalt<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2020<\/span>.<\/div>[pdf] <\/a>
<\/td>
StyleRig: Rigging StyleGAN for 3D Control over Portrait Images<\/a><\/div>
A. Tewari, M. Elgharib, G. Bharaj, F. Bernard, H. -P. Seidel, P. Perez, M. Zollhoefer, C. Theobalt<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2020<\/span>.<\/div>[pdf] <\/a>
selected as oral <\/span>
<\/td>
Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation<\/a><\/div>
J. Wang, F. M\u00fcller, F. Bernard, C. Theobalt<\/div>
In: <\/span>IEEE International Conference on Automatic Face and Gesture Recognition (FG), <\/span>2020<\/span>.<\/div>[pdf] <\/a>
<\/td>
3D Morphable Face Models - Past, Present and Future<\/a><\/div>
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<\/div>
In: <\/span>ACM Transactions on Graphics (TOG), <\/span>2020<\/span>.<\/div>[pdf] <\/a>
<\/td>
Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization<\/a><\/div>
N. Qian, J. Wang, F. Mueller, F. Bernard, V. Golyanik, C. Theobalt<\/div>
In: <\/span>European Conference on Computer Vision (ECCV), <\/span>2020<\/span>.<\/div>[pdf] <\/a>
<\/td>
PIE: Portrait Image Embedding for Semantic Control<\/a><\/div>
A. Tewari, M. Elgharib, M. BR, F. Bernard, H. -P. Seidel, P. Perez, M. Zollhoefer, C. Theobalt<\/div>
In: <\/span>ACM Transactions on Graphics (TOG), <\/span>2020<\/span>.<\/div>[pdf] <\/a>
presented at SIGGRAPH Asia <\/span>
<\/td>
RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video<\/a><\/div>
J. Wang, F. Mueller, F. Bernard, S. Sorli, O. Sotnychenko, N. Qian, M. A. Otaduy, D. Casas, C. Theobalt<\/div>
In: <\/span>ACM Transactions on Graphics (TOG), <\/span>2020<\/span>.<\/div>[pdf] <\/a>
presented at SIGGRAPH Asia <\/span>
\n

2019<\/h3>\n <\/td>\n <\/tr>

<\/td>
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching<\/a><\/div>
F. Bernard, J. Thunberg, P. Swoboda, C. Theobalt<\/div>
In: <\/span>International Conference on Computer Vision (ICCV), <\/span>2019<\/span>.<\/div>[pdf] <\/a>
<\/td>
Convex Optimisation for Inverse Kinematics<\/a><\/div>
T. Yenamandra, F. Bernard, J. Wang, F. M\u00fcller, C. Theobalt<\/div>
In: <\/span>International Conference on 3DVision (3DV), <\/span>2019<\/span>.<\/div>[pdf] <\/a>
selected as oral <\/span>
<\/td>
A convex relaxation for multi-graph matching<\/a><\/div>
P. Swoboda, A. Mokarian, D. Kainmueller, C. Theobalt, F. Bernard<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2019<\/span>.<\/div>[pdf] <\/a>
selected as oral presentation, acceptance rate 5.58% <\/span>
<\/td>
FML: Face Model Learning from Videos<\/a><\/div>
A. Tewari, F. Bernard, P. Garrido, G. Bharaj, M. Elgharib, H. -P. Seidel, P. Perez, M. Zollhoefer, C. Theobalt<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2019<\/span>.<\/div>[pdf] <\/a>
selected as oral presentation, acceptance rate 5.58% <\/span>
<\/td>
Neural Animation and Reenactment of Human Actor Videos<\/a><\/div>
L. Liu, W. Xu, M. Zollhoefer, H. Kim, F. Bernard, M. Habermann, W. Wang, C. Theobalt<\/div>
In: <\/span>ACM Transactions on Graphics (TOG), <\/span>2019<\/span>.<\/div>[pdf] <\/a>[video] <\/a>[project page] <\/a>
presented at SIGGRAPH <\/span>
<\/td>
Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Camera<\/a><\/div>
F. Mueller, M. Davis, F. Bernard, O. Sotnychenko, M. Verschoor, M. A. Otaduy, D. Casas, C. Theobalt<\/div>
In: <\/span>ACM Transactions on Graphics (TOG), <\/span>2019<\/span>.<\/div>[pdf] <\/a>
presented at SIGGRAPH <\/span>
<\/td>
Synchronisation of Partial Multi-Matchings via Non-negative Factorisations<\/a><\/div>
F. Bernard, J. Thunberg, J. Goncalves, C. Theobalt<\/div>
In: <\/span>Pattern Recognition, <\/span>vol. 92, <\/span>pp. 22-37, <\/span>2019<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\n

2018<\/h3>\n <\/td>\n <\/tr>

<\/td>
A lifting method for analyzing distributed synchronization on the unit sphere<\/a><\/div>
J. Thunberg, J. Markdahl, F. Bernard, J. Goncalves<\/div>
In: <\/span>Automatica, <\/span>vol. 96, <\/span>pp. 253-258, <\/span>2018<\/span>.<\/div>[pdf] <\/a>
<\/td>
Structured Low-Rank Matrix Factorisation for Point-Cloud Denoising<\/a><\/div>
K. Sarkar, F. Bernard, K. Varanasi, C. Theobalt, D. Stricker<\/div>
In: <\/span>International Conference on 3DVision (3DV), <\/span>2018<\/span>.<\/div>[pdf] <\/a>
<\/td>
Denoising of point-clouds based on structured dictionary learning<\/a><\/div>
K. Sarkar, F. Bernard, K. Varanasi, C. Theobalt, D. Stricker<\/div>
In: <\/span>Symposium on Geometry Processing (SGP), <\/span>2018<\/span>.<\/div>[pdf] <\/a>
invited poster <\/span>
<\/td>
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems<\/a><\/div>
F. Bernard, C. Theobalt, M. Moeller<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2018<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
<\/td>
GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB<\/a><\/div>
F. Mueller, F. Bernard, O. Sotnychenko, D. Mehta, S. Sridhar, D. Casas, C. Theobalt<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2018<\/span>.<\/div>[pdf] <\/a>[video] <\/a>[project page] <\/a>
selected as spotlight <\/span>
<\/td>
Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz<\/a><\/div>
A. Tewari, M. Zollh\u00f6fer, P. Garrido, F. Bernard, H. Kim, P. P\u00e9rez, C. Theobalt<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2018<\/span>.<\/div>[pdf] <\/a>[video] <\/a>[project page] <\/a>
selected as oral <\/span>
<\/td>
Illumination-invariant Robust Multiview 3D Human Motion Capture<\/a><\/div>
N. Robertini, F. Bernard, W. Xu, C. Theobalt<\/div>
In: <\/span>IEEE Winter Conf. on Applications of Computer Vision, <\/span>2018<\/span>.<\/div>[pdf] <\/a>[video] <\/a>[project page] <\/a>
<\/td>
High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder<\/a><\/div>
A. Tewari, M. Zollhoefer, F. Bernard, H. Kim P. Garrido, P. Perez, C. Theobalt<\/div>
In: <\/span>IEEE Transactions on Pattern Analysis and Machine Intelligence, <\/span>2018<\/span>.<\/div>[pdf] <\/a>[project page] <\/a>
\n

2017<\/h3>\n <\/td>\n <\/tr>

<\/td>
Distributed Synchronization of Euclidean Transformations with Guaranteed Convergence<\/a><\/div>
J. Thunberg, F. Bernard, J. Goncalves<\/div>
In: <\/span>IEEE Conference on Decision and Control (CDC), <\/span>2017<\/span>.<\/div>[pdf] <\/a>
<\/td>
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction<\/a><\/div>
A. Tewari, M. Zollh\u00f6fer, H. Kim, P. Garrido, F. Bernard, P. P\u00e9rez, C. Theobalt<\/div>
In: <\/span>International Conference on Computer Vision (ICCV), <\/span>2017<\/span>.<\/div>[pdf] <\/a>[video] <\/a>[project page] <\/a>
selected as oral presentation, acceptance rate 2.09% <\/span>
<\/td>
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching<\/a><\/div>
F. Bernard, F. R. Schmidt, J. Thunberg, D. Cremers<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2017<\/span>.<\/div>[pdf] <\/a>
<\/td>
Distributed methods for synchronization of orthogonal matrices over graphs<\/a><\/div>
J. Thunberg, F. Bernard, J. Goncalves<\/div>
In: <\/span>Automatica, <\/span>vol. 80, <\/span>pp. 243-252, <\/span>2017<\/span>.<\/div>[pdf] <\/a>
<\/td>
Shape-aware surface reconstruction from sparse 3D point-clouds<\/a><\/div>
F. Bernard, L. Salamanca, J. Thunberg, A. Tack, D. Jentsch, H. Lamecker, S. Zachow, F. Hertel, J. Goncalves, P. Gemmar<\/div>
In: <\/span>Medical Image Analysis, <\/span>vol. 38, <\/span>pp. 77-89, <\/span>2017<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
\n

2016<\/h3>\n <\/td>\n <\/tr>

<\/td>
Novel Methods for Multi-Shape Analysis<\/a><\/div>
F. Bernard<\/div>
In: <\/span>PhD Thesis. University of Luxembourg, <\/span>2016<\/span>.<\/div>[pdf] <\/a>
BVM-Award 2017 <\/span>
<\/td>
Fast Correspondences for Statistical Shape Models of Brain Structures<\/div>
F. Bernard, N. Vlassis, P. Gemmar, A. Husch, J. Thunberg, J. Goncalves, F. Hertel<\/div>
In: <\/span>SPIE Medical Imaging, <\/span>2016<\/span>.<\/div>[code] <\/a>
<\/td>
Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation<\/a><\/div>
F. Bernard, P. Gemmar, F. Hertel, J. Goncalves, J. Thunberg<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2016<\/span>.<\/div>[pdf] <\/a>[code] <\/a>[video] <\/a>
\n

2015<\/h3>\n <\/td>\n <\/tr>

<\/td>
Improved Parkinson's disease classification from diffusion MRI data by Fisher vector descriptors<\/a><\/div>
L. Salamanca, N. Vlassis, N. Diederich, F. Bernard, A. Skupin<\/div>
In: <\/span>Medical Image Computing and Computer Assisted Intervention (MICCAI), <\/span>2015<\/span>.<\/div>[pdf] <\/a>
<\/td>
Transitively Consistent and Unbiased Multi-Image Registration using Numerically Stable Transformation Synchronisation<\/a><\/div>
F. Bernard, J. Thunberg, A. Husch, L. Salamanca, P. Gemmar, F. Hertel, J. Goncalves<\/div>
In: <\/span>MICCAI Workshop on Spectral Analysis in Medical Imaging, <\/span>2015<\/span>.<\/div>[pdf] <\/a>
<\/td>
On Transitive Consistency for Linear Invertible Transformations between Euclidean Coordinate Systems<\/a><\/div>
J. Thunberg, F. Bernard, J. Goncalves<\/div>
In: <\/span>arXiv, <\/span>2015<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
<\/td>
Shape-aware 3D Interpolation using Statistical Shape Models<\/a><\/div>
F. Bernard, L. Salamanca, J. Thunberg, F. Hertel, J. Goncalves, P. Gemmar<\/div>
In: <\/span>Proceedings of Shape Symposium, <\/span>2015<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
selected for oral presentation, Siemens\/Sicas SHAPE Award (best paper) <\/span>
<\/td>
Susceptibility-Weighted MRI for Deep Brain Stimulation: Potentials in Trajectory Planning<\/a><\/div>
F. Hertel, A. Husch, G. Dooms, F. Bernard, P. Gemmar<\/div>
In: <\/span>Stereotactic and Functional Neurosurgery, <\/span>vol. 93 (5), <\/span>pp. 303-308, <\/span>2015<\/span>.<\/div>[pdf] <\/a>
<\/td>
A Solution for Multi-Alignment by Transformation Synchronisation<\/a><\/div>
F. Bernard, J. Thunberg, P. Gemmar, F. Hertel, A. Husch, J. Goncalves<\/div>
In: <\/span>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/span>2015<\/span>.<\/div>[pdf] <\/a>[code] <\/a>
<\/td>
Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation<\/a><\/div>
A. Husch, P. Gemmar, J. Lohscheller, F. Bernard, F. Hertel<\/div>
In: <\/span>Bildverarbeitung f\u00fcr die Medizin, <\/span>2015<\/span>.<\/div>[pdf] <\/a>
\n

2014<\/h3>\n <\/td>\n <\/tr>

<\/td>
Interactive Hierarchical Segmentation for Deep Brain Structure Identification<\/div>
F. Bernard, P. Gemmar, A. Husch, C. Saleh, F. Hertel<\/div>
In: <\/span>10th Annual Meeting of the German Society of Neuromodulation (DGNM), <\/span>2014<\/span>.<\/div>
@inproceedings{Bernard:2014ins,
\r\ntitle = {Interactive Hierarchical Segmentation for Deep Brain Structure Identification},
\r\nauthor = {F. Bernard and P. Gemmar and A. Husch and C. Saleh and F. Hertel},
\r\nyear  = {2014},
\r\ndate = {2014-11-01},
\r\nurldate = {2014-11-01},
\r\nbooktitle = {10th Annual Meeting of the German Society of Neuromodulation (DGNM)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
<\/td>
Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equalisation<\/div>
F. Bernard, P. Gemmar, A. Husch, C. Saleh, H. Neb, G. Dooms, F. Hertel<\/div>
In: <\/span>Proc. BMT, Biomed Tech, <\/span>2014<\/span>.<\/div>
@inproceedings{Bernard:2014bmt,
\r\ntitle = {Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equalisation},
\r\nauthor = {F. Bernard and P. Gemmar and A. Husch and C. Saleh and H. Neb and G. Dooms and F. Hertel},
\r\nyear  = {2014},
\r\ndate = {2014-10-01},
\r\nurldate = {2014-10-01},
\r\nbooktitle = {Proc. BMT, Biomed Tech},
\r\nvolume = {59 (Suppl. 1)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
<\/td>
Influence of the electrode-electrolyte interface on the electric field in Deep Brain Stimulation<\/div>
R. P. Bremm, F. Bernard, A. Husch, H. Neb, P. Gemmar, K. P. Koch, F. Hertel<\/div>
In: <\/span>Proc. BMT, Biomed Tech, <\/span>2014<\/span>.<\/div>
@inproceedings{Bremm:2014bmt,
\r\ntitle = {Influence of the electrode-electrolyte interface on the electric field in Deep Brain Stimulation},
\r\nauthor = {R. P. Bremm and F. Bernard and A. Husch and H. Neb and P. Gemmar and K. P. Koch and F. Hertel},
\r\nyear  = {2014},
\r\ndate = {2014-10-01},
\r\nurldate = {2014-10-01},
\r\nbooktitle = {Proc. BMT, Biomed Tech},
\r\nvolume = {59 (Suppl. 1)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
<\/td>
ASMTB: An Extensible Development Environment for 3D Segmentations based on Active Shape Models<\/div>
F. Bernard, P. Gemmar, A. Husch, F. Hertel<\/div>
In: <\/span>Proceedings of Shape Symposium, <\/span>2014<\/span>.<\/div>
@inproceedings{Bernard:2014shape,
\r\ntitle = {ASMTB: An Extensible Development Environment for 3D Segmentations based on Active Shape Models},
\r\nauthor = {F. Bernard and P. Gemmar and A. Husch and F. Hertel},
\r\nyear  = {2014},
\r\ndate = {2014-06-01},
\r\nurldate = {2014-06-01},
\r\nbooktitle = {Proceedings of Shape Symposium},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
<\/td>
Automatic Segmentation of Brain Structures for Neurosurgery<\/div>
F. Bernard<\/div>
In: <\/span>Joint poster session of Machine Learning Summer School & AISTATS, <\/span>2014<\/span>.<\/div>
@inproceedings{Bernard:2014mlss,
\r\ntitle = {Automatic Segmentation of Brain Structures for Neurosurgery},
\r\nauthor = {F. Bernard},
\r\nyear  = {2014},
\r\ndate = {2014-04-01},
\r\nurldate = {2014-04-01},
\r\nbooktitle = {Joint poster session of Machine Learning Summer School \\& AISTATS},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
\n

2013<\/h3>\n <\/td>\n <\/tr>

<\/td>
Eyelid Contour Detection and Tracking for Startle Research related Eye-Blink Measurements from High-Speed Video Records<\/div>
F. Bernard, C. E. Deuter, P. Gemmar, H. Schachinger<\/div>
In: <\/span>Computer Methods and Programs in Biomedicine, <\/span>vol. 112 (1), <\/span>pp. 22-37, <\/span>2013<\/span>.<\/div>
@article{Bernard:2013,
\r\ntitle = {Eyelid Contour Detection and Tracking for Startle Research related Eye-Blink Measurements from High-Speed Video Records},
\r\nauthor = {F. Bernard and C. E. Deuter and P. Gemmar and H. Schachinger},
\r\nyear  = {2013},
\r\ndate = {2013-10-01},
\r\nurldate = {2013-10-01},
\r\njournal = {Computer Methods and Programs in Biomedicine},
\r\nvolume = {112 (1)},
\r\npages = {22-37},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
<\/td>
Computer aided Planning and Navigation for Patient-Specific Deep Brain Stimulation<\/a><\/div>
P. Gemmar, F. Bernard, A. Husch, P. Martini, K. -P. Koch, F. Hertel<\/div>
In: <\/span>Proc. BMT, Biomed Tech, <\/span>2013<\/span>.<\/div>[pdf] <\/a>
<\/td>
An Approach on the Quantification of Uncertainties in the MRI-defined Subthalamic Nucleus<\/div>
A. Husch, F. Bernard, F. Hertel, P. Gemmar<\/div>
In: <\/span>9th Annual Meeting of the German Society of Neuromodulation (DGNM), <\/span>2013<\/span>.<\/div>
@inproceedings{Husch:2013ins,
\r\ntitle = {An Approach on the Quantification of Uncertainties in the MRI-defined Subthalamic Nucleus},
\r\nauthor = {A. Husch and F. Bernard and F. Hertel and P. Gemmar},
\r\nyear  = {2013},
\r\ndate = {2013-06-01},
\r\nurldate = {2013-06-01},
\r\nbooktitle = {9th Annual Meeting of the German Society of Neuromodulation (DGNM)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
<\/td>
Patient-specific Modelling of the Subthalamic Nucleus for Deep Brain Stimulation Targeting<\/div>
F. Bernard, A. Husch, F. Hertel, P. Gemmar<\/div>
In: <\/span>9th Annual Meeting of the German Society of Neuromodulation (DGNM), <\/span>2013<\/span>.<\/div>
@inproceedings{Bernard:2013ins,
\r\ntitle = {Patient-specific Modelling of the Subthalamic Nucleus for Deep Brain Stimulation Targeting},
\r\nauthor = {F. Bernard and A. Husch and F. Hertel and P. Gemmar},
\r\nyear  = {2013},
\r\ndate = {2013-06-01},
\r\nurldate = {2013-06-01},
\r\nbooktitle = {9th Annual Meeting of the German Society of Neuromodulation (DGNM)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
<\/td>
Kontaktfreie, videobasierte Erfassung der Blinzelaktivit\u00e4t<\/div>
G. Fischer, C. E. Deuter, F. Bernard, P. Gemmar, H. Sch\u00e4chinger<\/div>
In: <\/span>Proc. "Psychologie und Gehirn", <\/span>2013<\/span>.<\/div>
@inproceedings{Fischer:2013,
\r\ntitle = {Kontaktfreie, videobasierte Erfassung der Blinzelaktivit\\\"{a}t},
\r\nauthor = {G. Fischer and C. E. Deuter and F. Bernard and P. Gemmar and H. Sch\\\"{a}chinger},
\r\nyear  = {2013},
\r\ndate = {2013-00-01},
\r\nurldate = {2013-00-01},
\r\nbooktitle = {Proc. \"Psychologie und Gehirn\"},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
\n

2012<\/h3>\n <\/td>\n <\/tr>

<\/td>
Road Map for patient-centered 3D Planning and Navigation in Deep Brain Stimulation \u2013 Automatic Registration of STN Morphology<\/div>
P. Gemmar, A. Husch, F. Bernard, F. Hertel<\/div>
In: <\/span>8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI), <\/span>2012<\/span>.<\/div>
@inproceedings{Gemmar:2012,
\r\ntitle = {Road Map for patient-centered 3D Planning and Navigation in Deep Brain Stimulation \\textendash Automatic Registration of STN Morphology},
\r\nauthor = {P. Gemmar and A. Husch and F. Bernard and F. Hertel},
\r\nyear  = {2012},
\r\ndate = {2012-11-01},
\r\nurldate = {2012-11-01},
\r\nbooktitle = {8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
<\/td>
Suite for Computer Supported Planning and Navigation in Deep Brain Stimulation<\/div>
A. Husch, F. Bernard, F. Hertel, P. Gemmar<\/div>
In: <\/span>8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI), <\/span>2012<\/span>.<\/div>
@inproceedings{Husch:2012,
\r\ntitle = {Suite for Computer Supported Planning and Navigation in Deep Brain Stimulation},
\r\nauthor = {A. Husch and F. Bernard and F. Hertel and P. Gemmar},
\r\nyear  = {2012},
\r\ndate = {2012-11-01},
\r\nurldate = {2012-11-01},
\r\nbooktitle = {8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
<\/td>
SWAN Sequence in Comparison to T2 for STN Visualization in DBS Surgery<\/div>
N. Gunnes, A. Husch, F. Bernard, P. Gemmar, G. Dooms, F. Hertel<\/div>
In: <\/span>8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI), <\/span>2012<\/span>.<\/div>
@inproceedings{Gunnes:2012,
\r\ntitle = {SWAN Sequence in Comparison to T2 for STN Visualization in DBS Surgery},
\r\nauthor = {N. Gunnes and A. Husch and F. Bernard and P. Gemmar and G. Dooms and F. Hertel},
\r\nyear  = {2012},
\r\ndate = {2012-11-01},
\r\nurldate = {2012-11-01},
\r\nbooktitle = {8th Annual Meeting of the German Society of Neuromodulation (DGNM) - Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/td><\/tr>
<\/td>
Improvements on the Feasibility of Active Shape Model-based Subthalamic Nucleus Segmentation<\/div>
F. Bernard, P. Gemmar, A. Husch, F. Hertel<\/div>
In: <\/span>Proc. BMT, Biomed Tech, <\/span>2012<\/span>.<\/div>
@inproceedings{Bernard:2012,
\r\ntitle = {Improvements on the Feasibility of Active Shape Model-based Subthalamic Nucleus Segmentation},
\r\nauthor = {F. Bernard and P. Gemmar and A. Husch and F. Hertel},
\r\nyear  = {2012},
\r\ndate = {2012-08-01},
\r\nurldate = {2012-08-01},
\r\nbooktitle = {Proc. BMT, Biomed Tech},
\r\nvolume = {57 (Suppl. 1)},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
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