Frank R. Schmidt

According to our database, Frank R. Schmidt authored at least 35 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs.

Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard

CoRR, 2023

Universe Points Representation Learning for Partial Multi-Graph Matching.

Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020

Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications.

Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

Wasserstein Adversarial Examples via Projected Sinkhorn Iterations.

Eric Wong, Frank R. Schmidt, J. Zico Kolter

Proceedings of the 36th International Conference on Machine Learning, 2019

Adversarial camera stickers: A physical camera-based attack on deep learning systems.

Juncheng Li, Frank R. Schmidt, J. Zico Kolter

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Scaling provable adversarial defenses.

Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

MRF Optimization with Separable Convex Prior on Partially Ordered Labels.

Csaba Domokos, Frank R. Schmidt, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2018, 2018

Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs.

Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis.

Virginia Estellers, Frank R. Schmidt, Daniel Cremers

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Compression for Smooth Shape Analysis.

Virginia Estellers, Frank R. Schmidt, Daniel Cremers

CoRR, 2017

Discrete-Continuous Splitting for Weakly Supervised Learning.

Emanuel Laude, Jan-Hendrik Lange, Frank R. Schmidt, Bjoern Andres, Daniel Cremers

CoRR, 2017

A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching.

Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

White Matter MS-Lesion Segmentation Using a Geometric Brain Model.

Maddalena Strumia, Frank R. Schmidt, Constantinos Anastasopoulos, Cristina Granziera, Gunnar Krueger, Thomas Brox

IEEE Trans. Medical Imaging, 2016

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching.

Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Shape Distances for Binary Image Segmentation.

Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox

Proceedings of the Perspectives in Shape Analysis, 2016

2015

Video Segmentation with Just a Few Strokes.

Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2013

Guest Editorial: Energy Optimization Methods.

Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt

Int. J. Comput. Vis., 2013

An Experimental Comparison of Trust Region and Level Sets.

Lena Gorelick, Ismail Ben Ayed, Frank R. Schmidt, Yuri Boykov

CoRR, 2013

Fast Trust Region for Segmentation.

Lena Gorelick, Frank R. Schmidt, Yuri Boykov

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Hausdorff Distance Constraint for Multi-surface Segmentation.

Frank R. Schmidt, Yuri Boykov

Proceedings of the Computer Vision - ECCV 2012, 2012

Segmentation with Non-linear Regional Constraints via Line-Search Cuts.

Lena Gorelick, Frank R. Schmidt, Yuri Boykov, Andrew Delong, Aaron D. Ward

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Large-Scale Integer Linear Programming for Orientation Preserving 3<i>D</i> Shape Matching.

Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers

Comput. Graph. Forum, 2011

Geometrically consistent elastic matching of 3D shapes: A linear programming solution.

Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision, 2011

Interactive Segmentation with Super-Labels.

Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov

Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

Dense Elastic 3D Shape Matching.

Frank R. Schmidt, Thomas Windheuser, Ulrich Schlickewei, Daniel Cremers

Proceedings of the Efficient Algorithms for Global Optimization Methods in Computer Vision, 2011

Multilinear Model Estimation with L 2-Regularization.

Frank R. Schmidt, Hanno Ackermann, Bodo Rosenhahn

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2010

Efficient Methods for continuous and discrete shape analysis.

Frank R. Schmidt

PhD thesis, 2010

2009

A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors.

Frank R. Schmidt, Daniel Cremers

Proceedings of the Pattern Recognition, 2009

Efficient planar graph cuts with applications in Computer Vision.

Frank R. Schmidt, Eno Töppe, Daniel Cremers

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions.

Daniel Cremers, Frank R. Schmidt, Frank Barthel

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces.

Thomas Schoenemann, Frank R. Schmidt, Daniel Cremers

Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007

Fast Matching of Planar Shapes in Sub-cubic Runtime.

Frank R. Schmidt, Dirk Farin, Daniel Cremers

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Efficient Shape Matching Via Graph Cuts.

Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts.

Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov

Proceedings of the Pattern Recognition, 2007

2006

Shape Matching by Variational Computation of Geodesics on a Manifold.

Frank R. Schmidt, Michael Clausen, Daniel Cremers

Proceedings of the Pattern Recognition, 2006