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ORCIDFrank R. Schmidt
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- affiliation: University of Freiburg, Department of Computer Science
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2020 – today
- 2024
[c27]Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard:
Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs. ECML/PKDD (8) 2024: 126-143- 2023
- [c26]Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard:
Universe Points Representation Learning for Partial Multi-Graph Matching. AAAI 2023: 1984-1992 - [i11]Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard:
Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs. CoRR abs/2307.13078 (2023) - 2022
- [i10]Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard:
Universe Points Representation Learning for Partial Multi-Graph Matching. CoRR abs/2212.00780 (2022) - 2020
- [c25]Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter:
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. IV 2020: 1753-1758 - [i9]Eric Wong
, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter:
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. CoRR abs/2007.00147 (2020)
2010 – 2019
- 2019
- [c24]Juncheng Li, Frank R. Schmidt, J. Zico Kolter:
Adversarial camera stickers: A physical camera-based attack on deep learning systems. ICML 2019: 3896-3904 - [c23]Eric Wong, Frank R. Schmidt, J. Zico Kolter:
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. ICML 2019: 6808-6817 - [i8]Eric Wong, Frank R. Schmidt, J. Zico Kolter:
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. CoRR abs/1902.07906 (2019) - [i7]Juncheng Li, Frank R. Schmidt, J. Zico Kolter:
Adversarial camera stickers: A physical camera-based attack on deep learning systems. CoRR abs/1904.00759 (2019) - 2018
- [c22]Virginia Estellers, Frank R. Schmidt, Daniel Cremers:
Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis. 3DV 2018: 277-285 - [c21]Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers:
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. CVPR 2018: 1614-1624 - [c20]Csaba Domokos, Frank R. Schmidt, Daniel Cremers:
MRF Optimization with Separable Convex Prior on Partially Ordered Labels. ECCV (8) 2018: 341-356 - [c19]Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter:
Scaling provable adversarial defenses. NeurIPS 2018: 8410-8419 - [i6]Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter:
Scaling provable adversarial defenses. CoRR abs/1805.12514 (2018) - 2017
- [c18]Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers:
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. CVPR 2017: 1436-1445 - [i5]Emanuel Laude, Jan-Hendrik Lange, Frank R. Schmidt, Bjoern Andres, Daniel Cremers:
Discrete-Continuous Splitting for Weakly Supervised Learning. CoRR abs/1705.05020 (2017) - [i4]Virginia Estellers, Frank R. Schmidt, Daniel Cremers:
Compression for Smooth Shape Analysis. CoRR abs/1711.10824 (2017) - 2016
- [j3]Maddalena Strumia, Frank R. Schmidt, Constantinos Anastasopoulos, Cristina Granziera, Gunnar Krueger, Thomas Brox:
White Matter MS-Lesion Segmentation Using a Geometric Brain Model. IEEE Trans. Medical Imaging 35(7): 1636-1646 (2016) - [c17]Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers:
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CVPR 2016: 2185-2193 - [p1]Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox:
Shape Distances for Binary Image Segmentation. Perspectives in Shape Analysis 2016: 137-154 - [i3]Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers:
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CoRR abs/1601.06070 (2016) - [i2]Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers:
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. CoRR abs/1611.05241 (2016) - 2015
- [c16]Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox:
Video Segmentation with Just a Few Strokes. ICCV 2015: 3235-3243 - 2013
- [j2]Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt:
Guest Editorial: Energy Optimization Methods. Int. J. Comput. Vis. 104(3): 221-222 (2013) - [c15]Lena Gorelick, Frank R. Schmidt, Yuri Boykov:
Fast Trust Region for Segmentation. CVPR 2013: 1714-1721 - [i1]Lena Gorelick, Ismail Ben Ayed, Frank R. Schmidt, Yuri Boykov:
An Experimental Comparison of Trust Region and Level Sets. CoRR abs/1311.2102 (2013) - 2012
- [c14]Lena Gorelick, Frank R. Schmidt, Yuri Boykov, Andrew Delong, Aaron D. Ward:
Segmentation with Non-linear Regional Constraints via Line-Search Cuts. ECCV (1) 2012: 583-597 - [c13]Frank R. Schmidt, Yuri Boykov:
Hausdorff Distance Constraint for Multi-surface Segmentation. ECCV (1) 2012: 598-611 - 2011
- [j1]Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers:
Large-Scale Integer Linear Programming for Orientation Preserving 3D Shape Matching. Comput. Graph. Forum 30(5): 1471-1480 (2011) - [c12]Frank R. Schmidt, Hanno Ackermann, Bodo Rosenhahn:
Multilinear Model Estimation with L 2-Regularization. DAGM-Symposium 2011: 81-90 - [c11]Frank R. Schmidt, Thomas Windheuser, Ulrich Schlickewei, Daniel Cremers:
Dense Elastic 3D Shape Matching. Efficient Algorithms for Global Optimization Methods in Computer Vision 2011: 1-18 - [c10]Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov:
Interactive Segmentation with Super-Labels. EMMCVPR 2011: 147-162 - [c9]Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers:
Geometrically consistent elastic matching of 3D shapes: A linear programming solution. ICCV 2011: 2134-2141 - [e3]Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt:
Energy Minimazation Methods in Computer Vision and Pattern Recognition - 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings. Lecture Notes in Computer Science 6819, Springer 2011, ISBN 978-3-642-23093-6 [contents] - 2010
- [b1]Frank R. Schmidt:
Efficient Methods for continuous and discrete shape analysis. University of Bonn, 2010, pp. 1-145
2000 – 2009
- 2009
- [c8]Frank R. Schmidt, Eno Töppe, Daniel Cremers:
Efficient planar graph cuts with applications in Computer Vision. CVPR 2009: 351-356 - [c7]Frank R. Schmidt, Daniel Cremers:
A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors. DAGM-Symposium 2009: 31-40 - [e2]Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille, Frank R. Schmidt:
Statistical and Geometrical Approaches to Visual Motion Analysis, International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers. Lecture Notes in Computer Science 5604, Springer 2009, ISBN 978-3-642-03060-4 [contents] - [e1]Daniel Cremers, Yuri Boykov, Andrew Blake, Frank R. Schmidt:
Energy Minimization Methods in Computer Vision and Pattern Recognition, 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings. Lecture Notes in Computer Science 5681, Springer 2009, ISBN 978-3-642-03640-8 [contents] - 2008
- [c6]Thomas Schoenemann, Frank R. Schmidt, Daniel Cremers:
Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces. BMVC 2008: 1-10 - [c5]Daniel Cremers, Frank R. Schmidt, Frank Barthel:
Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions. CVPR 2008 - 2007
- [c4]Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov:
Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts. DAGM-Symposium 2007: 446-455 - [c3]Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov:
Efficient Shape Matching Via Graph Cuts. EMMCVPR 2007: 39-54 - [c2]Frank R. Schmidt, Dirk Farin, Daniel Cremers:
Fast Matching of Planar Shapes in Sub-cubic Runtime. ICCV 2007: 1-6 - 2006
- [c1]Frank R. Schmidt, Michael Clausen, Daniel Cremers:
Shape Matching by Variational Computation of Geodesics on a Manifold. DAGM-Symposium 2006: 142-151
Coauthor Index
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