Frank R. Schmidt

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 21

Top Venues

CoRR

CVPR

ICML

ECCV (8)

University of Bonn (PHD)

Education History

University of Bonn

PHD

Publications

Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard
Universe Points Representation Learning for Partial Multi-Graph Matching. AAAI (2023)
Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard
Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs. CoRR (2023)
Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard
Universe Points Representation Learning for Partial Multi-Graph Matching. CoRR (2022)
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 (2020)
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)
Eric Wong, Frank R. Schmidt, J. Zico Kolter
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. CoRR (2019)
Juncheng Li, Frank R. Schmidt, J. Zico Kolter
Adversarial camera stickers: A physical camera-based attack on deep learning systems. CoRR (2019)
Eric Wong, Frank R. Schmidt, J. Zico Kolter
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. ICML (2019)
Juncheng Li, Frank R. Schmidt, J. Zico Kolter
Adversarial camera stickers: A physical camera-based attack on deep learning systems. ICML (2019)
Csaba Domokos, Frank R. Schmidt, Daniel Cremers
MRF Optimization with Separable Convex Prior on Partially Ordered Labels. ECCV (8) (2018)
Virginia Estellers, Frank R. Schmidt, Daniel Cremers
Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis. 3DV (2018)
Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter
Scaling provable adversarial defenses. NeurIPS (2018)
Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter
Scaling provable adversarial defenses. CoRR (2018)
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)
Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. CVPR (2017)
Emanuel Laude, Jan-Hendrik Lange, Frank R. Schmidt, Bjoern Andres, Daniel Cremers
Discrete-Continuous Splitting for Weakly Supervised Learning. CoRR (2017)
Virginia Estellers, Frank R. Schmidt, Daniel Cremers
Compression for Smooth Shape Analysis. CoRR (2017)
Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CVPR (2016)
Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CoRR (2016)
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) (2016)
Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. CoRR (2016)
Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox
Video Segmentation with Just a Few Strokes. ICCV (2015)
Lena Gorelick, Frank R. Schmidt, Yuri Boykov
Fast Trust Region for Segmentation. CVPR (2013)
Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt
Guest Editorial: Energy Optimization Methods. Int. J. Comput. Vis. 104 (3) (2013)
Lena Gorelick, Ismail Ben Ayed, Frank R. Schmidt, Yuri Boykov
An Experimental Comparison of Trust Region and Level Sets. CoRR (2013)
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)
Frank R. Schmidt, Yuri Boykov
Hausdorff Distance Constraint for Multi-surface Segmentation. ECCV (1) (2012)
Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers
Geometrically consistent elastic matching of 3D shapes: A linear programming solution. ICCV (2011)
Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers
Shape Matching. Comput. Graph. Forum 30 (5) (2011)
Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov
Interactive Segmentation with Super-Labels. EMMCVPR (2011)
Frank R. Schmidt, Hanno Ackermann, Bodo Rosenhahn
Multilinear Model Estimation with L 2-Regularization. DAGM-Symposium (2011)
Frank R. Schmidt, Thomas Windheuser, Ulrich Schlickewei, Daniel Cremers
Dense Elastic 3D Shape Matching. Efficient Algorithms for Global Optimization Methods in Computer Vision (2011)
Frank R. Schmidt, Eno Töppe, Daniel Cremers
Efficient planar graph cuts with applications in Computer Vision. CVPR (2009)
Frank R. Schmidt, Daniel Cremers
A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors. DAGM-Symposium (2009)
Thomas Schoenemann, Frank R. Schmidt, Daniel Cremers
Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces. BMVC (2008)
Daniel Cremers, Frank R. Schmidt, Frank Barthel
Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions. CVPR (2008)
Frank R. Schmidt, Dirk Farin, Daniel Cremers
Fast Matching of Planar Shapes in Sub-cubic Runtime. ICCV (2007)
Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov
Efficient Shape Matching Via Graph Cuts. EMMCVPR (2007)
Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov
Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts. DAGM-Symposium (2007)
Frank R. Schmidt, Michael Clausen, Daniel Cremers
Shape Matching by Variational Computation of Geodesics on a Manifold. DAGM-Symposium (2006)

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Publication Activity (10 Years)

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Frank R. Schmidt