Publications

2025

Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching
P. Roetzer, V. Ehm, D. Cremers, Z. Laehner, F. Bernard
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
4Deform: Neural Surface Deformation for Robust Shape Interpolation
4Deform: Neural Surface Deformation for Robust Shape Interpolation
L. Sang, Z. Canfes, D. Cao, R. Marin, F. Bernard, D. Cremers
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging
Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging
M. Kahl, S. Stricker, L. Hutschenreiter, F. Bernard, C. Rother, B. Savchynskyy
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection
EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection
Y. Xie, V. Ehm, P. Roetzer, N. El Amrani, M. Gao, F. Bernard, D. Cremers
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Fast Globally Optimal and Geometrically Consistent 3D Shape Matching
P. Roetzer, F. Bernard
In: arXiv, 2025.
[pdf]
Implicit Neural Surface Deformation with Explicit Velocity Fields
Implicit Neural Surface Deformation with Explicit Velocity Fields
L. Sang, Z. Canfes, D. Cao, F. Bernard, D. Cremers
In: International Conference on Learning Representations (ICLR), 2025.
Approximate 2D-3D Shape Matching for Interactive Applications
Approximate 2D-3D Shape Matching for Interactive Applications
C. Petzsch, P. Roetzer, Z. Laehner, F. Bernard
In: International Conference on 3D Vision (3DV), 2025.

2024

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

2023

Structured Prediction Problem Archive
P. Swoboda, A. Abbas, F. Bernard, A. Hornáková, P. Roetzer, B. Savchynskyy
In: arXiv, 2023.
[pdf]
SIGMA: Scale-Invariant Global Sparse Shape Matching
M. Gao, P. Roetzer, M. Eisenberger, Z. Laehner, M. Moeller, D. Cremers, F. Bernard
In: International Conference on Computer Vision (ICCV), 2023.
[pdf] [code]
Unsupervised Learning of Robust Spectral Shape Matching
D. Cao, P. Roetzer, F. Bernard
In: SIGGRAPH / ACM Transactions on Graphics (TOG), 2023.
[pdf] [code] [project page]
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
P. Roetzer, Z. Laehner, F. Bernard
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[pdf] [code]
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
D. Cao, F. Bernard
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[pdf] [code]
selected as highlight (2.5% of submissions)
Non-Separable Multi-Dimensional Network Flows for Visual Computing
V. Ehm, D. Cremers, F. Bernard
In: Eurographics (Poster), 2023.
[pdf]
Non-Negative Spherical Relaxations for Universe-Free Multi-Matching and Clustering
J. Thunberg, F. Bernard
In: Scandinavian Conference on Image Analysis (SCIA), 2023.
[pdf]
Universe Points Representation Learning for Partial Multi-Graph Matching
Z. Nurlanov, F. R. Schmidt, F. Bernard
In: AAAI Conference on Artificial Intelligence, 2023.
[pdf]
selected as oral
Neural Implicit Representations for Physical Parameter Inference from a Single Video
F. Hofherr, L. Koestler, F. Bernard, D. Cremers
In: Winter Conference on Applications of Computer Vision (WACV), 2023.
[pdf] [code] [project page]

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]
Best Paper Honorable Mention Award
D. Cao, F. Bernard
In: European Conference on Computer Vision (ECCV), 2022.
[pdf] [code]
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]
Z. Nurlanov, D. Cremers, F. Bernard
In: International Conference on Pattern Recognition (ICPR), 2022.
[pdf] [code]
P. Roetzer, P. Swoboda, D. Cremers, F. Bernard
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[pdf] [code]
M. Eisenberger, A. Toker, L. Leal-Taixe, F. Bernard, D. Cremers
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[pdf] [code]
Z. Ye, T. Yenamandra, F. Bernard, D. Cremers
In: AAAI Conference on Artificial Intelligence, 2022.
[pdf]
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]

2021

M. Krahn, F. Bernard, V. Golyanik
In: International Conference on 3D Vision (3DV), 2021.
[pdf] [code]
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]
selected as oral
M. Gao, Z. Laehner, J. Thunberg, D. Cremers, F. Bernard
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[pdf] [code] [video]
selected as oral
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]
F. Bernard, D. Cremers, J. Thunberg
In: NeurIPS, 2021.
[pdf] [code]
V. Ehm, D. Cremers, F. Bernard
In: International Conference on 3D Vision (3DV), 2021.
[pdf] [code]

2020

F. Bernard, Z. Khan Suri, C. Theobalt
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[pdf]
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]
selected as oral
J. Wang, F. Müller, F. Bernard, C. Theobalt
In: IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2020.
[pdf]
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]
N. Qian, J. Wang, F. Mueller, F. Bernard, V. Golyanik, C. Theobalt
In: European Conference on Computer Vision (ECCV), 2020.
[pdf]
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]
presented at SIGGRAPH Asia
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]
presented at SIGGRAPH Asia

2019

F. Bernard, J. Thunberg, P. Swoboda, C. Theobalt
In: International Conference on Computer Vision (ICCV), 2019.
[pdf]
T. Yenamandra, F. Bernard, J. Wang, F. Müller, C. Theobalt
In: International Conference on 3DVision (3DV), 2019.
[pdf]
selected as oral
P. Swoboda, A. Mokarian, D. Kainmueller, C. Theobalt, F. Bernard
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[pdf]
selected as oral presentation, acceptance rate 5.58%
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]
selected as oral presentation, acceptance rate 5.58%
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]
presented at SIGGRAPH
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]
presented at SIGGRAPH
F. Bernard, J. Thunberg, J. Goncalves, C. Theobalt
In: Pattern Recognition, vol. 92, pp. 22-37, 2019.
[pdf] [code]

2018

J. Thunberg, J. Markdahl, F. Bernard, J. Goncalves
In: Automatica, vol. 96, pp. 253-258, 2018.
[pdf]
K. Sarkar, F. Bernard, K. Varanasi, C. Theobalt, D. Stricker
In: International Conference on 3DVision (3DV), 2018.
[pdf]
K. Sarkar, F. Bernard, K. Varanasi, C. Theobalt, D. Stricker
In: Symposium on Geometry Processing (SGP), 2018.
[pdf]
invited poster
F. Bernard, C. Theobalt, M. Moeller
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[pdf] [code]
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]
selected as spotlight
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]
selected as oral
N. Robertini, F. Bernard, W. Xu, C. Theobalt
In: IEEE Winter Conf. on Applications of Computer Vision, 2018.
[pdf] [video] [project page]
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]

2017

J. Thunberg, F. Bernard, J. Goncalves
In: IEEE Conference on Decision and Control (CDC), 2017.
[pdf]
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]
selected as oral presentation, acceptance rate 2.09%
F. Bernard, F. R. Schmidt, J. Thunberg, D. Cremers
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[pdf]
J. Thunberg, F. Bernard, J. Goncalves
In: Automatica, vol. 80, pp. 243-252, 2017.
[pdf]
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]

2016

F. Bernard
In: PhD Thesis. University of Luxembourg, 2016.
[pdf]
BVM-Award 2017
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]
F. Bernard, P. Gemmar, F. Hertel, J. Goncalves, J. Thunberg
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
[pdf] [code] [video]

2015

L. Salamanca, N. Vlassis, N. Diederich, F. Bernard, A. Skupin
In: Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015.
[pdf]
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]
J. Thunberg, F. Bernard, J. Goncalves
In: arXiv, 2015.
[pdf] [code]
F. Bernard, L. Salamanca, J. Thunberg, F. Hertel, J. Goncalves, P. Gemmar
In: Proceedings of Shape Symposium, 2015.
[pdf] [code]
selected for oral presentation, Siemens/Sicas SHAPE Award (best paper)
F. Hertel, A. Husch, G. Dooms, F. Bernard, P. Gemmar
In: Stereotactic and Functional Neurosurgery, vol. 93 (5), pp. 303-308, 2015.
[pdf]
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]
A. Husch, P. Gemmar, J. Lohscheller, F. Bernard, F. Hertel
In: Bildverarbeitung für die Medizin, 2015.
[pdf]

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.
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.
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.
ASMTB: An Extensible Development Environment for 3D Segmentations based on Active Shape Models
F. Bernard, P. Gemmar, A. Husch, F. Hertel
In: Proceedings of Shape Symposium, 2014.
Automatic Segmentation of Brain Structures for Neurosurgery
F. Bernard
In: Joint poster session of Machine Learning Summer School & AISTATS, 2014.

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.
P. Gemmar, F. Bernard, A. Husch, P. Martini, K. -P. Koch, F. Hertel
In: Proc. BMT, Biomed Tech, 2013.
[pdf]
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.
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.
Kontaktfreie, videobasierte Erfassung der Blinzelaktivität
G. Fischer, C. E. Deuter, F. Bernard, P. Gemmar, H. Schächinger
In: Proc. "Psychologie und Gehirn", 2013.

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.
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.
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.
Improvements on the Feasibility of Active Shape Model-based Subthalamic Nucleus Segmentation
F. Bernard, P. Gemmar, A. Husch, F. Hertel
In: Proc. BMT, Biomed Tech, 2012.