Shape Matching by Variational Computation of Geodesics on a Manifold. - Frank R. Schmidt; Michael Clausen; Daniel Cremers (DAGM-Symposium, 2006)

Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts. - Frank R. Schmidt; Eno Töppe; Daniel Cremers; Yuri Boykov (DAGM-Symposium, 2007)

Efficient Shape Matching Via Graph Cuts. - Frank R. Schmidt; Eno Töppe; Daniel Cremers; Yuri Boykov (EMMCVPR, 2007)

Fast Matching of Planar Shapes in Sub-cubic Runtime. - Frank R. Schmidt; Dirk Farin; Daniel Cremers (ICCV, 2007)

Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces. - Thomas Schoenemann; Frank R. Schmidt; Daniel Cremers (BMVC, 2008)

Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions. - Daniel Cremers; Frank R. Schmidt; Frank Barthel (CVPR, 2008)

Efficient planar graph cuts with applications in Computer Vision. - Frank R. Schmidt; Eno Töppe; Daniel Cremers (CVPR, 2009)

A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors. - Frank R. Schmidt; Daniel Cremers (DAGM-Symposium, 2009)

Efficient Methods for continuous and discrete shape analysis. - Frank R. Schmidt (2010)

Multilinear Model Estimation with L 2-Regularization. - Frank R. Schmidt; Hanno Ackermann; Bodo Rosenhahn (DAGM-Symposium, 2011)

Dense Elastic 3D Shape Matching. - Frank R. Schmidt; Thomas Windheuser; Ulrich Schlickewei; Daniel Cremers (Efficient Algorithms for Global Optimization Methods in Computer Vision, 2011)

Interactive Segmentation with Super-Labels. - Andrew Delong; Lena Gorelick; Frank R. Schmidt; Olga Veksler; Yuri Boykov (EMMCVPR, 2011)

Geometrically consistent elastic matching of 3D shapes: A linear programming solution. - Thomas Windheuser; Ulrich Schlickewei; Frank R. Schmidt; Daniel Cremers (ICCV, 2011)

Large-Scale Integer Linear Programming for Orientation Preserving 3D Shape Matching. - Thomas Windheuser; Ulrich Schlickewei; Frank R. Schmidt; Daniel Cremers (Comput. Graph. Forum, 2011)

Segmentation with Non-linear Regional Constraints via Line-Search Cuts. - Lena Gorelick; Frank R. Schmidt; Yuri Boykov; Andrew Delong; Aaron D. Ward (ECCV (1), 2012)

Hausdorff Distance Constraint for Multi-surface Segmentation. - Frank R. Schmidt; Yuri Boykov (ECCV (1), 2012)

Fast Trust Region for Segmentation. - Lena Gorelick; Frank R. Schmidt; Yuri Boykov (CVPR, 2013)

An Experimental Comparison of Trust Region and Level Sets. - Lena Gorelick; Ismail Ben Ayed; Frank R. Schmidt; Yuri Boykov (CoRR, 2013)

Guest Editorial: Energy Optimization Methods. - Yuri Boykov; Fredrik Kahl; Victor S. Lempitsky; Frank R. Schmidt (Int. J. Comput. Vis., 2013)

Video Segmentation with Just a Few Strokes. - Naveen Shankar Nagaraja; Frank R. Schmidt; Thomas Brox (ICCV, 2015)

Shape Distances for Binary Image Segmentation. - Frank R. Schmidt; Lena Gorelick; Ismail Ben Ayed; Yuri Boykov; Thomas Brox (Perspectives in Shape Analysis, 2016)

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. - Zorah Lähner; Emanuele Rodolà; Frank R. Schmidt; Michael M. Bronstein; Daniel Cremers (CVPR, 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)

A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. - Florian Bernard; Frank R. Schmidt; Johan Thunberg; Daniel Cremers (CVPR, 2017)

Discrete-Continuous Splitting for Weakly Supervised Learning. - Emanuel Laude; Jan-Hendrik Lange; Frank R. Schmidt; Bjoern Andres; Daniel Cremers (CoRR, 2017)

Compression for Smooth Shape Analysis. - Virginia Estellers; Frank R. Schmidt; Daniel Cremers (CoRR, 2017)

Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis. - Virginia Estellers; Frank R. Schmidt; Daniel Cremers (3DV, 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 (CVPR, 2018)

MRF Optimization with Separable Convex Prior on Partially Ordered Labels. - Csaba Domokos; Frank R. Schmidt; Daniel Cremers (ECCV (8), 2018)

Scaling provable adversarial defenses. - Eric Wong 001; Frank R. Schmidt; Jan Hendrik Metzen; J. Zico Kolter (NeurIPS, 2018)

Adversarial camera stickers: A physical camera-based attack on deep learning systems. - Juncheng Li 001; Frank R. Schmidt; J. Zico Kolter (ICML, 2019)

Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. - Eric Wong 001; Frank R. Schmidt; J. Zico Kolter (ICML, 2019)

Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. - Eric Wong 001; Tim Schneider; Joerg Schmitt; Frank R. Schmidt; J. Zico Kolter (IV, 2020)

Universe Points Representation Learning for Partial Multi-Graph Matching. - Zhakshylyk Nurlanov; Frank R. Schmidt; Florian Bernard (AAAI, 2023)

Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs. - Zhakshylyk Nurlanov; Frank R. Schmidt; Florian Bernard (ECML/PKDD (8), 2024)