Frank R. Schmidt

47 papers A* 13A 1C 1Journal 15Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Jailbreaking LLMs Without Gradients or Priors: Effective and Transferable Attacks. CoRR Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard
2024	—	`conf`	Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs. ECML/PKDD (8) Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard
2023	J	`jnl`	Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs. CoRR Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard
2023	A*	`conf`	Universe Points Representation Learning for Partial Multi-Graph Matching. AAAI Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard
2022	J	`jnl`	Universe Points Representation Learning for Partial Multi-Graph Matching. CoRR Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard
2020	C	`conf`	Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. IV Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter
2020	J	`jnl`	Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. CoRR Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter
2019	A*	`conf`	Adversarial camera stickers: A physical camera-based attack on deep learning systems. ICML Juncheng Li, Frank R. Schmidt, J. Zico Kolter
2019	J	`jnl`	Adversarial camera stickers: A physical camera-based attack on deep learning systems. CoRR Juncheng Li, Frank R. Schmidt, J. Zico Kolter
2019	A*	`conf`	Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. ICML Eric Wong, Frank R. Schmidt, J. Zico Kolter
2019	J	`jnl`	Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. CoRR Eric Wong, Frank R. Schmidt, J. Zico Kolter
2018	A*	`conf`	Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. CVPR Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers
2018	—	`conf`	MRF Optimization with Separable Convex Prior on Partially Ordered Labels. ECCV (8) Csaba Domokos, Frank R. Schmidt, Daniel Cremers
2018	—	`conf`	Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis. 3DV Virginia Estellers, Frank R. Schmidt, Daniel Cremers
2018	A*	`conf`	Scaling provable adversarial defenses. NeurIPS Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter
2018	J	`jnl`	Scaling provable adversarial defenses. CoRR Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter
2017	A*	`conf`	A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. CVPR Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers
2017	J	`jnl`	Compression for Smooth Shape Analysis. CoRR Virginia Estellers, Frank R. Schmidt, Daniel Cremers
2017	J	`jnl`	Discrete-Continuous Splitting for Weakly Supervised Learning. CoRR Emanuel Laude, Jan-Hendrik Lange, Frank R. Schmidt, Bjoern Andres, Daniel Cremers
2016	J	`jnl`	A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. CoRR Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers
2016	A*	`conf`	Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CVPR Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
2016	J	`jnl`	Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CoRR Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
2016	—	`ch.`	Shape Distances for Binary Image Segmentation. Perspectives in Shape Analysis Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox
2016	J	`jnl`	White Matter MS-Lesion Segmentation Using a Geometric Brain Model. IEEE Trans. Medical Imaging Maddalena Strumia, Frank R. Schmidt, Constantinos Anastasopoulos, Cristina Granziera, Gunnar Krueger, Thomas Brox
2015	A*	`conf`	Video Segmentation with Just a Few Strokes. ICCV Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox
2013	J	`jnl`	An Experimental Comparison of Trust Region and Level Sets. CoRR Lena Gorelick, Ismail Ben Ayed, Frank R. Schmidt, Yuri Boykov
2013	A*	`conf`	Fast Trust Region for Segmentation. CVPR Lena Gorelick, Frank R. Schmidt, Yuri Boykov
2013	J	`jnl`	Guest Editorial: Energy Optimization Methods. Int. J. Comput. Vis. Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt
2012	—	`conf`	Hausdorff Distance Constraint for Multi-surface Segmentation. ECCV (1) Frank R. Schmidt, Yuri Boykov
2012	—	`conf`	Segmentation with Non-linear Regional Constraints via Line-Search Cuts. ECCV (1) Lena Gorelick, Frank R. Schmidt, Yuri Boykov, Andrew Delong, Aaron D. Ward
2011	—	`conf`	Dense Elastic 3D Shape Matching. Efficient Algorithms for Global Optimization Methods in Computer Vision Frank R. Schmidt, Thomas Windheuser, Ulrich Schlickewei, Daniel Cremers
2011	—	`ed.`	Energy Minimazation Methods in Computer Vision and Pattern Recognition - 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings EMMCVPR Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt
2011	A*	`conf`	Geometrically consistent elastic matching of 3D shapes: A linear programming solution. ICCV Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers
2011	—	`conf`	Interactive Segmentation with Super-Labels. EMMCVPR Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov
2011	J	`jnl`	Large-Scale Integer Linear Programming for Orientation Preserving 3 Comput. Graph. Forum Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers
2011	—	`conf`	Multilinear Model Estimation with L 2-Regularization. DAGM-Symposium Frank R. Schmidt, Hanno Ackermann, Bodo Rosenhahn
2010	—	`—`	Efficient Methods for continuous and discrete shape analysis. Frank R. Schmidt
2009	—	`conf`	A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors. DAGM-Symposium Frank R. Schmidt, Daniel Cremers
2009	A*	`conf`	Efficient planar graph cuts with applications in Computer Vision. CVPR Frank R. Schmidt, Eno Töppe, Daniel Cremers
2009	—	`ed.`	Energy Minimization Methods in Computer Vision and Pattern Recognition, 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings EMMCVPR Daniel Cremers, Yuri Boykov, Andrew Blake, Frank R. Schmidt
2009	—	`ed.`	Statistical and Geometrical Approaches to Visual Motion Analysis, International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille, Frank R. Schmidt
2008	A	`conf`	Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces. BMVC Thomas Schoenemann, Frank R. Schmidt, Daniel Cremers
2008	A*	`conf`	Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions. CVPR Daniel Cremers, Frank R. Schmidt, Frank Barthel
2007	—	`conf`	Efficient Shape Matching Via Graph Cuts. EMMCVPR Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov
2007	A*	`conf`	Fast Matching of Planar Shapes in Sub-cubic Runtime. ICCV Frank R. Schmidt, Dirk Farin, Daniel Cremers
2007	—	`conf`	Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts. DAGM-Symposium Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov
2006	—	`conf`	Shape Matching by Variational Computation of Geodesics on a Manifold. DAGM-Symposium Frank R. Schmidt, Michael Clausen, Daniel Cremers