Publications

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]
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]
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]
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]
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] [Article in Computer Vision News]
Best Student Paper Runner-Up (selected as oral)
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]
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]
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]
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]
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]
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)
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]
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]
V. Ehm; D. Cremers; F. Bernard
In: International Conference on 3D Vision (3DV), 2021.
[pdf]
F. Bernard; D. Cremers; J. Thunberg
In: NeurIPS, 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.
F. Bernard; P. Gemmar; A. Husch; F. Hertel
In: Proceedings of Shape Symposium, 2014.
[pdf]
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.
F. Bernard; P. Gemmar; A. Husch; F. Hertel
In: Proc. BMT, Biomed Tech, 2012.
[pdf]