Diffusion-Snakes Using Statistical Shape Knowledge. - Daniel Cremers; Christoph Schnörr; Joachim Weickert; Christian Schellewald (AFPAC, 2000)

Nonlinear Shape Statistics via Kernel Spaces. - Daniel Cremers; Timo Kohlberger; Christoph Schnörr (DAGM-Symposium, 2001)

Convex Relaxations for Binary Image Partitioning and Perceptual Grouping. - Jens Keuchel; Christian Schellewald; Daniel Cremers; Christoph Schnörr (DAGM-Symposium, 2001)

Statistical shape knowledge in variational image segmentation. - Daniel Cremers (2002)

Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization. - Daniel Cremers; Christoph Schnörr (DAGM-Symposium, 2002)

Unsupervised Image Partitioning with Semidefinite Programming. - Jens Keuchel; Christoph Schnörr; Christian Schellewald; Daniel Cremers (DAGM-Symposium, 2002)

Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. - Daniel Cremers; Timo Kohlberger; Christoph Schnörr (ECCV (2), 2002)

Statistisches Formenwissen in Variationsansätzen zur Bildsegmentierung. - Daniel Cremers (Ausgezeichnete Informatikdissertationen, 2002)

Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional. - Daniel Cremers; Florian Tischhäuser; Joachim Weickert; Christoph Schnörr (Int. J. Comput. Vis., 2002)

Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate Descriptions and Integrate-and-Fire Dynamics. - Daniel Cremers; Andreas V. M. Herz (Neural Comput., 2002)

A Variational Framework for Image Segmentation Combining Motion Estimation and Shape Regularization. - Daniel Cremers (CVPR (1), 2003)

A Generative Model Based Approach to Motion Segmentation. - Daniel Cremers; Alan L. Yuille (DAGM-Symposium, 2003)

Variational Space-Time Motion Segmentation. - Daniel Cremers; Stefano Soatto (ICCV, 2003)

Dynamic Texture Segmentation. - Gianfranco Doretto; Daniel Cremers; Paolo Favaro; Stefano Soatto (ICCV, 2003)

A Multiphase Level Set Framework for Motion Segmentation. - Daniel Cremers (Scale-Space, 2003)

Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. - Daniel Cremers; Nir A. Sochen; Christoph Schnörr (Scale-Space, 2003)

Statistical shape knowledge in variational motion segmentation. - Daniel Cremers; Christoph Schnörr (Image Vis. Comput., 2003)

Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming. - Jens Keuchel; Christoph Schnörr; Christian Schellewald; Daniel Cremers (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Shape statistics in kernel space for variational image segmentation. - Daniel Cremers; Timo Kohlberger; Christoph Schnörr (Pattern Recognit., 2003)

Shedding Light on Stereoscopic Segmentation. - Hailin Jin; Daniel Cremers; Anthony J. Yezzi; Stefano Soatto (CVPR (1), 2004)

Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk. - Daniel Cremers; Stanley J. Osher; Stefano Soatto (DAGM-Symposium, 2004)

Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. - Daniel Cremers; Nir A. Sochen; Christoph Schnörr (ECCV (4), 2004)

Bayesian Approaches to Motion-Based Image and Video Segmentation. - Daniel Cremers (IWCM, 2004)

Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation. - Daniel Cremers; Stefano Soatto (Int. J. Comput. Vis., 2004)

One-Shot Integral Invariant Shape Priors for Variational Segmentation. - Siddharth Manay; Daniel Cremers; Anthony J. Yezzi; Stefano Soatto (EMMCVPR, 2005)

Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation. - Mikaël Rousson; Daniel Cremers (MICCAI (2), 2005)

Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation. - Daniel Cremers; Gareth Funka-Lea (VLSM, 2005)

Variational Segmentation with Shape Priors. - Martin Bergtholdt; Daniel Cremers; Christoph Schnörr (Handbook of Mathematical Models in Computer Vision, 2006)

Integral Invariants and Shape Matching. - Siddharth Manay; Daniel Cremers; Byung-Woo Hong; Anthony J. Yezzi; Stefano Soatto (Statistics and Analysis of Shapes, 2006)

Nonparametric Priors on the Space of Joint Intensity Distributions for Non-Rigid Multi-Modal Image Registration. - Daniel Cremers; Christoph Guetter; Chenyang Xu 001 (CVPR (2), 2006)

Nonparametric Density Estimation for Human Pose Tracking. - Thomas Brox; Bodo Rosenhahn; Uwe G. Kersting; Daniel Cremers (DAGM-Symposium, 2006)

Robust Variational Segmentation of 3D Objects from Multiple Views. - Kalin Kolev; Thomas Brox; Daniel Cremers (DAGM-Symposium, 2006)

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

Near Real-Time Motion Segmentation Using Graph Cuts. - Thomas Schoenemann; Daniel Cremers (DAGM-Symposium, 2006)

Realtime Depth Estimation and Obstacle Detection from Monocular Video. - Andreas Wedel; Uwe Franke; Jens Klappstein; Thomas Brox; Daniel Cremers (DAGM-Symposium, 2006)

Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos. - Thomas Brox; Bodo Rosenhahn; Daniel Cremers (Human Motion, 2006)

An Integral Solution to Surface Evolution PDEs Via Geo-cuts. - Yuri Boykov; Vladimir Kolmogorov; Daniel Cremers; Andrew Delong (ECCV (3), 2006)

High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints. - Thomas Brox; Bodo Rosenhahn; Daniel Cremers; Hans-Peter Seidel (ECCV (2), 2006)

Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts. - Daniel Cremers; Leo J. Grady (ECCV (3), 2006)

A Comparison of Shape Matching Methods for Contour Based Pose Estimation. - Bodo Rosenhahn; Thomas Brox; Daniel Cremers; Hans-Peter Seidel (IWCIA, 2006)

4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences. - Timo Kohlberger; Daniel Cremers; Mikaël Rousson; Ramamani Ramaraj; Gareth Funka-Lea (MICCAI (1), 2006)

GPU histogram computation. - Oliver Fluck; Shmuel Aharon; Daniel Cremers; Mikaël Rousson (SIGGRAPH Research Posters, 2006)

Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation. - Daniel Cremers; Stanley J. Osher; Stefano Soatto (Int. J. Comput. Vis., 2006)

A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation. - Daniel Cremers; Nir A. Sochen; Christoph Schnörr (Int. J. Comput. Vis., 2006)

Dynamical Statistical Shape Priors for Level Set-Based Tracking. - Daniel Cremers (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Integral Invariants for Shape Matching. - Siddharth Manay; Daniel Cremers; Byung-Woo Hong; Anthony J. Yezzi; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Online Smoothing for Markerless Motion Capture. - Bodo Rosenhahn; Thomas Brox; Daniel Cremers; Hans-Peter Seidel (DAGM-Symposium, 2007)

Occlusion Modeling by Tracking Multiple Objects. - Christian Schmaltz; Bodo Rosenhahn; Thomas Brox; Joachim Weickert; Daniel Cremers; Lennart Wietzke; Gerald Sommer (DAGM-Symposium, 2007)

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

WarpCut - Fast Obstacle Segmentation in Monocular Video. - Andreas Wedel; Thomas Schoenemann; Thomas Brox; Daniel Cremers (DAGM-Symposium, 2007)

Continuous Global Optimization in Multiview 3D Reconstruction. - Kalin Kolev; Maria Klodt; Thomas Brox; Selim Esedoglu; Daniel Cremers (EMMCVPR, 2007)

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

Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking. - Thomas Brox; Bodo Rosenhahn; Daniel Cremers; Hans-Peter Seidel (Workshop on Human Motion, 2007)

Region-Based Pose Tracking. - Christian Schmaltz; Bodo Rosenhahn; Thomas Brox; Daniel Cremers; Joachim Weickert; Lennart Wietzke; Gerald Sommer (IbPRIA (2), 2007)

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

Globally Optimal Image Segmentation with an Elastic Shape Prior. - Thomas Schoenemann; Daniel Cremers (ICCV, 2007)

Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs. - Thomas Schoenemann; Daniel Cremers (ICCV, 2007)

A probabilistic level set formulation for interactive organ segmentation. - Daniel Cremers; Oliver Fluck; Mikaël Rousson; Shmuel Aharon (Image Processing, 2007)

Iterated Nonlocal Means for Texture Restoration. - Thomas Brox; Daniel Cremers (SSVM, 2007)

On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. - Thomas Brox; Daniel Cremers (SSVM, 2007)

A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape. - Daniel Cremers; Mikaël Rousson; Rachid Deriche (Int. J. Comput. Vis., 2007)

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

TVSeg - Interactive Total Variation Based Image Segmentation. - Markus Unger; Thomas Pock; Werner Trobin; Daniel Cremers; Horst Bischof (BMVC, 2008)

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

Fast and exact solution of Total Variation models on the GPU. - Thomas Pock; Markus Unger; Daniel Cremers; Horst Bischof (CVPR Workshops, 2008)

Markerless motion capture of man-machine interaction. - Bodo Rosenhahn; Christian Schmaltz; Thomas Brox; Joachim Weickert; Daniel Cremers; Hans-Peter Seidel (CVPR, 2008)

High resolution motion layer decomposition using dual-space graph cuts. - Thomas Schoenemann; Daniel Cremers (CVPR, 2008)

Globally optimal shape-based tracking in real-time. - Thomas Schoenemann; Daniel Cremers (CVPR, 2008)

Matching non-rigidly deformable shapes across images: A globally optimal solution. - Thomas Schoenemann; Daniel Cremers (CVPR, 2008)

An Unbiased Second-Order Prior for High-Accuracy Motion Estimation. - Werner Trobin; Thomas Pock; Daniel Cremers; Horst Bischof (DAGM-Symposium, 2008)

08291 Abstracts Collection - Statistical and Geometrical Approaches to Visual Motion Analysis. - Daniel Cremers; Bodo Rosenhahn; Alan L. Yuille (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

An Improved Algorithm for TV-L 1 Optical Flow. - Andreas Wedel; Thomas Pock; Christopher Zach; Horst Bischof; Daniel Cremers (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

An Evaluation Approach for Scene Flow with Decoupled Motion and Position. - Andreas Wedel; Tobi Vaudrey; Annemarie Meißner; Clemens Rabe; Thomas Brox; Uwe Franke; Daniel Cremers (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

An Experimental Comparison of Discrete and Continuous Shape Optimization Methods. - Maria Klodt; Thomas Schoenemann; Kalin Kolev; Marek Schikora; Daniel Cremers (ECCV (1), 2008)

Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains. - Kalin Kolev; Daniel Cremers (ECCV (1), 2008)

A Convex Formulation of Continuous Multi-label Problems. - Thomas Pock; Thomas Schoenemann; Gottfried Graber; Horst Bischof; Daniel Cremers (ECCV (3), 2008)

Continuous Energy Minimization Via Repeated Binary Fusion. - Werner Trobin; Thomas Pock; Daniel Cremers; Horst Bischof (ECCV (4), 2008)

Efficient Dense Scene Flow from Sparse or Dense Stereo Data. - Andreas Wedel; Clemens Rabe; Tobi Vaudrey; Thomas Brox; Uwe Franke; Daniel Cremers (ECCV (1), 2008)

Modeling and Tracking Line-Constrained Mechanical Systems. - Bodo Rosenhahn; Thomas Brox; Daniel Cremers; Hans-Peter Seidel (RobVis, 2008)

3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination. - Hailin Jin; Daniel Cremers; Dejun Wang; Emmanuel Prados; Anthony J. Yezzi; Stefano Soatto (Int. J. Comput. Vis., 2008)

Nonlinear Dynamical Shape Priors for Level Set Segmentation. - Daniel Cremers (J. Sci. Comput., 2008)

Efficient Nonlocal Means for Denoising of Textural Patterns. - Thomas Brox; Oliver Kleinschmidt; Daniel Cremers (IEEE Trans. Image Process., 2008)

Anisotropic Huber-L1 Optical Flow. - Manuel Werlberger; Werner Trobin; Thomas Pock; Andreas Wedel; Daniel Cremers; Horst Bischof (BMVC, 2009)

Continuous ratio optimization via convex relaxation with applications to multiview 3D reconstruction. - Kalin Kolev; Daniel Cremers (CVPR, 2009)

A convex relaxation approach for computing minimal partitions. - Thomas Pock; Antonin Chambolle; Daniel Cremers; Horst Bischof (CVPR, 2009)

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

A Superresolution Framework for High-Accuracy Multiview Reconstruction. - Bastian Goldlücke; Daniel Cremers (DAGM-Symposium, 2009)

Video Super Resolution Using Duality Based TV-L1 Optical Flow. - Dennis Mitzel; Thomas Pock; Thomas Schoenemann; Daniel Cremers (DAGM-Symposium, 2009)

Non-parametric Single View Reconstruction of Curved Objects Using Convex Optimization. - Martin R. Oswald; Eno Töppe; Kalin Kolev; Daniel Cremers (DAGM-Symposium, 2009)

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

Detection and Segmentation of Independently Moving Objects from Dense Scene Flow. - Andreas Wedel; Annemarie Meißner; Clemens Rabe; Uwe Franke; Daniel Cremers (EMMCVPR, 2009)

Superresolution texture maps for multiview reconstruction. - Bastian Goldlücke; Daniel Cremers (ICCV, 2009)

An algorithm for minimizing the Mumford-Shah functional. - Thomas Pock; Daniel Cremers; Horst Bischof; Antonin Chambolle (ICCV, 2009)

Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation. - Thomas Schoenemann; Fredrik Kahl; Daniel Cremers (ICCV, 2009)

Large displacement optical flow computation withoutwarping. - Frank Steinbrücker; Thomas Pock; Daniel Cremers (ICCV, 2009)

Structure- and motion-adaptive regularization for high accuracy optic flow. - Andreas Wedel; Daniel Cremers; Thomas Pock; Horst Bischof (ICCV, 2009)

Beyond connecting the dots: A polynomial-time algorithm for segmentation and boundary estimation with imprecise user input. - Thomas Windheuser; Thomas Schoenemann; Daniel Cremers (ICCV, 2009)

Variational Optical Flow from Alternate Exposure Images. - Anita Sellent; Martin Eisemann; Bastian Goldlücke; Thomas Pock; Daniel Cremers; Marcus A. Magnor (VMV, 2009)

Advanced Data Terms for Variational Optic Flow Estimation. - Frank Steinbrücker; Thomas Pock; Daniel Cremers (VMV, 2009)

On Local Region Models and a Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. - Thomas Brox; Daniel Cremers (Int. J. Comput. Vis., 2009)

Continuous Global Optimization in Multiview 3D Reconstruction. - Kalin Kolev; Maria Klodt; Thomas Brox; Daniel Cremers (Int. J. Comput. Vis., 2009)

B-Spline Modeling of Road Surfaces With an Application to Free-Space Estimation. - Andreas Wedel; Hernán Badino; Clemens Rabe; Heidi Loose; Uwe Franke; Daniel Cremers (IEEE Trans. Intell. Transp. Syst., 2009)

Image-Based 3D Modeling via Cheeger Sets. - Eno Töppe; Martin R. Oswald; Daniel Cremers; Carsten Rother (ACCV (1), 2010)

On a Linear Programming Approach to the Discrete Willmore Boundary Value Problem and Generalizations. - Thomas Schoenemann; Simon Masnou; Daniel Cremers (Curves and Surfaces, 2010)

An approach to vectorial total variation based on geometric measure theory. - Bastian Goldlücke; Daniel Cremers (CVPR, 2010)

Interactive Motion Segmentation. - Claudia Nieuwenhuis; Benjamin Berkels; Martin Rumpf; Daniel Cremers (DAGM-Symposium, 2010)

Real-Time Dense Geometry from a Handheld Camera. - Jan Stühmer; Stefan Gumhold; Daniel Cremers (DAGM-Symposium, 2010)

10411 Abstracts Collection - Computational Video. - Daniel Cremers; Marcus A. Magnor; Lihi Zelnik-Manor (Computational Video, 2010)

10411 Executive Summary - Computational Video. - Daniel Cremers; Marcus A. Magnor; Lihi Zelnik-Manor (Computational Video, 2010)

Silhouette-Based Variational Methods for Single View Reconstruction. - Eno Töppe; Martin R. Oswald; Daniel Cremers; Carsten Rother (Video Processing and Computational Video, 2010)

Convex Relaxation for Multilabel Problems with Product Label Spaces. - Bastian Goldlücke; Daniel Cremers (ECCV (5), 2010)

Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo. - Kalin Kolev; Thomas Pock; Daniel Cremers (ECCV (3), 2010)

Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera. - Jan Stühmer; Stefan Gumhold; Daniel Cremers (ECCV Workshops (1), 2010)

Passive multi-object localization and tracking using bearing data. - Marek Schikora; Daniel Bender; Daniel Cremers; Wolfgang Koch 001 (FUSION, 2010)

Probabilistic Classification of Disease symptoms caused by Salmonella on Arabidopsis Plants. - Marek Schikora; Adam Schikora; Karl-Heinz Kogel; Wolfgang Koch 001; Daniel Cremers (GI Jahrestagung (2), 2010)

Convex Relaxation for Grain Segmentation at Atomic Scale. - Markus Boerdgen; Benjamin Berkels; Martin Rumpf; Daniel Cremers (VMV, 2010)

Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects. - Thomas Brox; Bodo Rosenhahn; Juergen Gall; Daniel Cremers (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking. - Thomas Schoenemann; Daniel Cremers (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Global Solutions of Variational Models with Convex Regularization. - Thomas Pock; Daniel Cremers; Horst Bischof; Antonin Chambolle (SIAM J. Imaging Sci., 2010)

Stereo Scene Flow for 3D Motion Analysis. - Andreas Wedel; Daniel Cremers (Springer, 2011)

Multiple source localization based on biased bearings using the intensity filter - approach and experimental results. - Marek Schikora; Marc Oispuu; Wolfgang Koch 001; Daniel Cremers (CAMSAP, 2011)

Total variation for cyclic structures: Convex relaxation and efficient minimization. - Evgeny Strekalovskiy; Daniel Cremers (CVPR, 2011)

Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor. - Mathieu Aubry; Ulrich Schlickewei; Daniel Cremers (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)

Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches. - Claudia Nieuwenhuis; Eno Töppe; Daniel Cremers (EMMCVPR, 2011)

Sequential Monte Carlo method for the iFilter. - Marek Schikora; Wolfgang Koch 001; Roy L. Streit; Daniel Cremers (FUSION, 2011)

Pixel-based classification method for detecting unhealthy regions in leaf images. - Satish Madhogaria; Marek Schikora; Wolfgang Koch 001; Daniel Cremers (GI-Jahrestagung, 2011)

Multi-object tracking via high accuracy optical flowand finite set statistics. - Marek Schikora; Wolfgang Koch 001; Daniel Cremers (ICASSP, 2011)

Decoupling photometry and geometry in dense variational camera calibration. - Mathieu Aubry; Kalin Kolev; Bastian Goldlücke; Daniel Cremers (ICCV, 2011)

Introducing total curvature for image processing. - Bastian Goldlücke; Daniel Cremers (ICCV, 2011)

A convex framework for image segmentation with moment constraints. - Maria Klodt; Daniel Cremers (ICCV, 2011)

Generalized ordering constraints for multilabel optimization. - Evgeny Strekalovskiy; Daniel Cremers (ICCV, 2011)

Tight convex relaxations for vector-valued labeling problems. - Evgeny Strekalovskiy; Bastian Goldlücke; Daniel Cremers (ICCV, 2011)

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

The wave kernel signature: A quantum mechanical approach to shape analysis. - Mathieu Aubry; Ulrich Schlickewei; Daniel Cremers (ICCV Workshops, 2011)

Real-time visual odometry from dense RGB-D images. - Frank Steinbrücker; Jürgen Sturm; Daniel Cremers (ICCV Workshops, 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)

Stereoscopic Scene Flow Computation for 3D Motion Understanding. - Andreas Wedel; Thomas Brox; Tobi Vaudrey; Clemens Rabe; Uwe Franke; Daniel Cremers (Int. J. Comput. Vis., 2011)

Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains. - Daniel Cremers; Kalin Kolev (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Motion Field Estimation from Alternate Exposure Images. - Anita Sellent; Martin Eisemann; Bastian Goldlücke; Daniel Cremers; Marcus A. Magnor (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

A variational approach to vesicle membrane reconstruction from fluorescence imaging. - Kalin Kolev; Norbert Kirchgeßner; Sebastian Houben; Agnes Csiszár; Wolfgang Rubner; Christoph Palm; Björn Eiben; Rudolf Merkel; Daniel Cremers (Pattern Recognit., 2011)

The Elastic Ratio: Introducing Curvature Into Ratio-Based Image Segmentation. - Thomas Schoenemann; Simon Masnou; Daniel Cremers (IEEE Trans. Image Process., 2011)

Fast and globally optimal single view reconstruction of curved objects. - Martin R. Oswald; Eno Töppe; Daniel Cremers (CVPR, 2012)

A convex representation for the vectorial Mumford-Shah functional. - Evgeny Strekalovskiy; Antonin Chambolle; Daniel Cremers (CVPR, 2012)

Groupwise Shape Registration Based on Entropy Minimization. - Youngwook Kee; Daniel Cremers; Junmo Kim 002 (DAGM/OAGM Symposium, 2012)

Nonmetric Priors for Continuous Multilabel Optimization. - Evgeny Strekalovskiy; Claudia Nieuwenhuis; Daniel Cremers (ECCV (7), 2012)

Wehrli 2.0: An Algorithm for "Tidying up Art". - Nikolai Ufer; Mohamed Souiai; Daniel Cremers (ECCV Workshops (1), 2012)

Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency. - Thomas Windheuser; Hiroshi Ishikawa 002; Daniel Cremers (ECCV (6), 2012)

Box-particle PHD filter for multi-target tracking. - Marek Schikora; Amadou Gning; Lyudmila Mihaylova; Daniel Cremers; Wolfgang Koch 001 (FUSION, 2012)

An evaluation of the RGB-D SLAM system. - Felix Endres; Jürgen Hess 001; Nikolas Engelhard; Jürgen Sturm; Daniel Cremers; Wolfram Burgard (ICRA, 2012)

A generalized framework for opening doors and drawers in kitchen environments. - Thomas Rühr; Jürgen Sturm; Dejan Pangercic; Michael Beetz; Daniel Cremers (ICRA, 2012)

Camera-based navigation of a low-cost quadrocopter. - Jakob J. Engel; Jürgen Sturm; Daniel Cremers (IROS, 2012)

A benchmark for the evaluation of RGB-D SLAM systems. - Jürgen Sturm; Nikolas Engelhard; Felix Endres; Wolfram Burgard; Daniel Cremers (IROS, 2012)

Real-time human motion tracking using multiple depth cameras. - Licong Zhang; Jürgen Sturm; Daniel Cremers; Dongheui Lee (IROS, 2012)

Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI. - Frank Steinbrücker; Anke Meyer-Baese; Thomas Schlossbauer; Daniel Cremers (Adv. Artif. Neural Syst., 2012)

An image classification approach to analyze the suppression of plant immunity by the human pathogen Salmonella Typhimurium. - Marek Schikora; Balram Neupane; Satish Madhogaria; Wolfgang Koch 001; Daniel Cremers; Heribert Hirt; Karl-Heinz Kogel; Adam Schikora (BMC Bioinform., 2012)

A Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization. - Thomas Schoenemann; Fredrik Kahl; Simon Masnou; Daniel Cremers (Int. J. Comput. Vis., 2012)

Image segmentation with one shape prior - A template-based formulation. - Siqi Chen; Daniel Cremers; Richard J. Radke (Image Vis. Comput., 2012)

Optimal solutions for semantic image decomposition. - Daniel Cremers (Image Vis. Comput., 2012)

Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images. - Kalin Kolev; Thomas Brox; Daniel Cremers (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

A Convex Approach to Minimal Partitions. - Antonin Chambolle; Daniel Cremers; Thomas Pock (SIAM J. Imaging Sci., 2012)

The Natural Vectorial Total Variation Which Arises from Geometric Measure Theory. - Bastian Goldlücke; Evgeny Strekalovskiy; Daniel Cremers (SIAM J. Imaging Sci., 2012)

A Coding-Cost Framework for Super-Resolution Motion Layer Decomposition. - Thomas Schoenemann; Daniel Cremers (IEEE Trans. Image Process., 2012)

A Review of Geometry Recovery from a Single Image Focusing on Curved Object Reconstruction. - Martin R. Oswald; Eno Töppe; Claudia Nieuwenhuis; Daniel Cremers (Innovations for Shape Analysis, Models and Algorithms, 2013)

Shape Priors for Image Segmentation. - Daniel Cremers (Shape Perception in Human and Computer Vision, 2013)

Efficient Shape Matching using Vector Extrapolation. - Emanuele Rodolà; Tatsuya Harada; Yasuo Kuniyoshi; Daniel Cremers (BMVC, 2013)

Relative Volume Constraints for Single View 3D Reconstruction. - Eno Töppe; Claudia Nieuwenhuis; Daniel Cremers (CVPR, 2013)

Scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images. - Maria Klodt; Jürgen Sturm; Daniel Cremers (GCPR, 2013)

Performance Evaluation of Narrow Band Methods for Variational Stereo Reconstruction. - Franz Stangl; Mohamed Souiai; Daniel Cremers (GCPR, 2013)

CopyMe3D: Scanning and Printing Persons in 3D. - Jürgen Sturm; Erik Bylow; Fredrik Kahl; Daniel Cremers (GCPR, 2013)

Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints. - Thomas Möllenhoff; Claudia Nieuwenhuis; Eno Töppe; Daniel Cremers (EMMCVPR, 2013)

A Co-occurrence Prior for Continuous Multi-label Optimization. - Mohamed Souiai; Evgeny Strekalovskiy; Claudia Nieuwenhuis; Daniel Cremers (EMMCVPR, 2013)

Semi-dense Visual Odometry for a Monocular Camera. - Jakob J. Engel; Jürgen Sturm; Daniel Cremers (ICCV, 2013)

Total Variation Regularization for Functions with Values in a Manifold. - Jan Lellmann; Evgeny Strekalovskiy; Sabrina Koetter; Daniel Cremers (ICCV, 2013)

Proportion Priors for Image Sequence Segmentation. - Claudia Nieuwenhuis; Evgeny Strekalovskiy; Daniel Cremers (ICCV, 2013)

Elastic Net Constraints for Shape Matching. - Emanuele Rodolà; Andrea Torsello; Tatsuya Harada; Yasuo Kuniyoshi; Daniel Cremers (ICCV, 2013)

Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences. - Frank Steinbrücker; Christian Kerl; Daniel Cremers (ICCV, 2013)

Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs. - Jan Stühmer; Peter Schröder; Daniel Cremers (ICCV, 2013)

Proximity Priors for Variational Semantic Segmentation and Recognition. - Julia Bergbauer; Claudia Nieuwenhuis; Mohamed Souiai; Daniel Cremers (ICCV Workshops, 2013)

Fast and Accurate Large-Scale Stereo Reconstruction Using Variational Methods. - Georg Kuschk; Daniel Cremers (ICCV Workshops, 2013)

A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction. - Martin R. Oswald; Daniel Cremers (ICCV Workshops, 2013)

Convex Optimization for Scene Understanding. - Mohamed Souiai; Claudia Nieuwenhuis; Evgeny Strekalovskiy; Daniel Cremers (ICCV Workshops, 2013)

Depth-adaptive supervoxels for RGB-D video segmentation. - David Weikersdorfer; Alexander Schick; Daniel Cremers (ICIP, 2013)

Robust odometry estimation for RGB-D cameras. - Christian Kerl; Jürgen Sturm; Daniel Cremers (ICRA, 2013)

Dense visual SLAM for RGB-D cameras. - Christian Kerl; Jürgen Sturm; Daniel Cremers (IROS, 2013)

FollowMe: Person following and gesture recognition with a quadrocopter. - Tayyab Naseer; Jürgen Sturm; Daniel Cremers (IROS, 2013)

Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions. - Erik Bylow; Jürgen Sturm; Christian Kerl; Fredrik Kahl; Daniel Cremers (Robotics: Science and Systems, 2013)

Co-Sparse Textural Similarity for Image Segmentation. - Claudia Nieuwenhuis; Daniel Cremers; Simon Hawe; Martin Kleinsteuber (CoRR, 2013)

A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model. - Claudia Nieuwenhuis; Eno Töppe; Daniel Cremers (Int. J. Comput. Vis., 2013)

Total Cyclic Variation and Generalizations. - Daniel Cremers; Evgeny Strekalovskiy (J. Math. Imaging Vis., 2013)

Spatially Varying Color Distributions for Interactive Multilabel Segmentation. - Claudia Nieuwenhuis; Daniel Cremers (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Tight Convex Relaxations for Vector-Valued Labeling. - Bastian Goldluecke; Evgeny Strekalovskiy; Daniel Cremers (SIAM J. Imaging Sci., 2013)

Moment Constraints in Convex Optimization for Segmentation and Tracking. - Maria Klodt; Frank Steinbrücker; Daniel Cremers (Advanced Topics in Computer Vision, 2013)

Learning Similarities for Rigid and Non-rigid Object Detection. - Asako Kanezaki; Emanuele Rodolà; Daniel Cremers; Tatsuya Harada (3DV, 2014)

Towards Illumination-Invariant 3D Reconstruction Using ToF RGB-D Cameras. - Christian Kerl; Mohamed Souiai; Jürgen Sturm; Daniel Cremers (3DV, 2014)

Surface Normal Integration for Convex Space-time Multi-view Reconstruction. - Martin R. Oswald; Daniel Cremers (BMVC, 2014)

Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis. - Thomas Windheuser; Matthias Vestner; Emanuele Rodolà; Rudolph Triebel; Daniel Cremers (BMVC, 2014)

Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation. - Youngwook Kee; Mohamed Souiai; Daniel Cremers; Junmo Kim 002 (CVPR, 2014)

Dense Non-rigid Shape Correspondence Using Random Forests. - Emanuele Rodolà; Samuel Rota Bulò; Thomas Windheuser; Matthias Vestner; Daniel Cremers (CVPR, 2014)

Spatial and Temporal Interpolation of Multi-view Image Sequences. - Tobias Gurdan; Martin R. Oswald; Daniel Gurdan; Daniel Cremers (GCPR, 2014)

Submap-Based Bundle Adjustment for 3D Reconstruction from RGB-D Data. - Robert Maier 001; Jürgen Sturm; Daniel Cremers (GCPR, 2014)

Flow and Color Inpainting for Video Completion. - Michael Strobel; Julia Diebold; Daniel Cremers (GCPR, 2014)

Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes. - Rudolph Triebel; Jan Stühmer; Mohamed Souiai; Daniel Cremers (GCPR, 2014)

Anisotropic Laplace-Beltrami Operators for Shape Analysis. - Mathieu Andreux; Emanuele Rodolà; Mathieu Aubry; Daniel Cremers (ECCV Workshops (4), 2014)

LSD-SLAM: Large-Scale Direct Monocular SLAM. - Jakob J. Engel; Thomas Schöps; Daniel Cremers (ECCV (2), 2014)

High-Resolution Plant Shape Measurements from Multi-view Stereo Reconstruction. - Maria Klodt; Daniel Cremers (ECCV Workshops (4), 2014)

Co-Sparse Textural Similarity for Interactive Segmentation. - Claudia Nieuwenhuis; Simon Hawe; Martin Kleinsteuber; Daniel Cremers (ECCV (6), 2014)

Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction. - Martin Ralf Oswald; Jan Stühmer; Daniel Cremers (ECCV (4), 2014)

Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional. - Evgeny Strekalovskiy; Daniel Cremers (ECCV (2), 2014)

A Novel Framework for Nonlocal Vectorial Total Variation Based on ℓ p, q, r -norms. - Joan Duran; Michael Möller 001; Catalina Sbert; Daniel Cremers (EMMCVPR, 2014)

Low Rank Priors for Color Image Regularization. - Thomas Möllenhoff; Evgeny Strekalovskiy; Michael Möller 001; Daniel Cremers (EMMCVPR, 2014)

A Fast Projection Method for Connectivity Constraints in Image Segmentation. - Jan Stühmer; Daniel Cremers (EMMCVPR, 2014)

Volumetric 3D mapping in real-time on a CPU. - Frank Steinbrücker; Jürgen Sturm; Daniel Cremers (ICRA, 2014)

Event-based 3D SLAM with a depth-augmented dynamic vision sensor. - David Weikersdorfer; David B. Adrian; Daniel Cremers; Jörg Conradt (ICRA, 2014)

Collision Avoidance for Quadrotors with a Monocular Camera. - H. Alvarez; Lina María Paz; Jürgen Sturm; Daniel Cremers (ISER, 2014)

Semi-dense visual odometry for AR on a smartphone. - Thomas Schöps; Jakob J. Engel; Daniel Cremers (ISMAR, 2014)

Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data. - Shoubhik Debnath; Shiv Sankar Baishya; Rudolph Triebel; Varun Dutt; Daniel Cremers (KI, 2014)

Robust Region Detection via Consensus Segmentation of Deformable Shapes. - Emanuele Rodolà; Samuel Rota Bulò; Daniel Cremers (Comput. Graph. Forum, 2014)

A Super-Resolution Framework for High-Accuracy Multiview Reconstruction. - Bastian Goldlücke; Mathieu Aubry; Kalin Kolev; Daniel Cremers (Int. J. Comput. Vis., 2014)

Introduction to the special issue on visual understanding and applications with RGB-D cameras. - Zicheng Liu 001; Michael Beetz; Daniel Cremers; Jürgen Gall; Wanqing Li 001; Dejan Pangercic; Jürgen Sturm; Yu-Wing Tai (J. Vis. Commun. Image Represent., 2014)

Scale-aware navigation of a low-cost quadrocopter with a monocular camera. - Jakob J. Engel; Jürgen Sturm; Daniel Cremers (Robotics Auton. Syst., 2014)

Convex Relaxation of Vectorial Problems with Coupled Regularization. - Evgeny Strekalovskiy; Antonin Chambolle; Daniel Cremers (SIAM J. Imaging Sci., 2014)

Box-particle probability hypothesis density filtering. - Marek Schikora; Amadou Gning; Lyudmila Mihaylova; Daniel Cremers; Wolfgang Koch 001 (IEEE Trans. Aerosp. Electron. Syst., 2014)

3-D Mapping With an RGB-D Camera. - Felix Endres; Jürgen Hess 001; Jürgen Sturm; Daniel Cremers; Wolfram Burgard (IEEE Trans. Robotics, 2014)

Motion Cooperation: Smooth Piece-wise Rigid Scene Flow from RGB-D Images. - Mariano Jaimez; Mohamed Souiai; Jörg Stückler; Javier González Jiménez 001; Daniel Cremers (3DV, 2015)

Super-resolution Keyframe Fusion for 3D Modeling with High-Quality Textures. - Robert Maier 001; Jörg Stückler; Daniel Cremers (3DV, 2015)

Reconstructing Street-Scenes in Real-Time from a Driving Car. - Vladyslav Usenko; Jakob J. Engel; Jörg Stückler; Daniel Cremers (3DV, 2015)

Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction. - Filippo Bergamasco; Andrea Albarelli; Luca Cosmo; Andrea Torsello; Emanuele Rodolà; Daniel Cremers (CVPR, 2015)

SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports. - Rudolph Triebel; Kai Oliver Arras; Rachid Alami 001; Lucas Beyer; Stefan Breuers; Raja Chatila 001; Mohamed Chetouani; Daniel Cremers; Vanessa Evers; Michelangelo Fiore; Hayley Hung; Omar A. Islas Ramírez; et al. (FSR, 2015)

FlowNet: Learning Optical Flow with Convolutional Networks. - Alexey Dosovitskiy; Philipp Fischer; Eddy Ilg; Philip Häusser; Caner Hazirbas; Vladimir Golkov; Patrick van der Smagt; Daniel Cremers; Thomas Brox (ICCV, 2015)

Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras. - Christian Kerl; Jörg Stückler; Daniel Cremers (ICCV, 2015)

Learning Nonlinear Spectral Filters for Color Image Reconstruction. - Michael Möller 001; Julia Diebold; Guy Gilboa; Daniel Cremers (ICCV, 2015)

Entropy Minimization for Convex Relaxation Approaches. - Mohamed Souiai; Martin R. Oswald; Youngwook Kee; Junmo Kim 002; Marc Pollefeys; Daniel Cremers (ICCV, 2015)

Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations. - Jan Stühmer; Sebastian Nowozin; Andrew W. Fitzgibbon; Richard Szeliski; Travis Perry; Sunil Acharya; Daniel Cremers; Jamie Shotton (ICCV, 2015)

A primal-dual framework for real-time dense RGB-D scene flow. - Mariano Jaimez; Mohamed Souiai; Javier González Jiménez 001; Daniel Cremers (ICRA, 2015)

Active online confidence boosting for efficient object classification. - Dennis Mund; Rudolph Triebel; Daniel Cremers (ICRA, 2015)

Large-scale direct SLAM for omnidirectional cameras. - David Caruso; Jakob J. Engel; Daniel Cremers (IROS, 2015)

Large-scale direct SLAM with stereo cameras. - Jakob J. Engel; Jörg Stückler; Daniel Cremers (IROS, 2015)

Semi-supervised online learning for efficient classification of objects in 3D data streams. - Ye Tao; Rudolph Triebel; Daniel Cremers (IROS, 2015)

q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. - Vladimir Golkov; Alexey Dosovitskiy; Philipp G. Sämann; Jonathan I. Sperl; Tim Sprenger; Michael Czisch; Marion I. Menzel; Pedro A. Gómez; Axel Haase; Thomas Brox; Daniel Cremers (MICCAI (1), 2015)

Interactive Multi-label Segmentation of RGB-D Images. - Julia Diebold; Nikolaus Demmel; Caner Hazirbas; Michael Möller 001; Daniel Cremers (SSVM, 2015)

Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation. - Caner Hazirbas; Julia Diebold; Daniel Cremers (SSVM, 2015)

Point-wise Map Recovery and Refinement from Functional Correspondence. - Emanuele Rodolà; Michael Möller 001; Daniel Cremers (VMV, 2015)

Field phenotyping of grapevine growth using dense stereo reconstruction. - Maria Klodt; Katja Herzog; Reinhard Töpfer; Daniel Cremers (BMC Bioinform., 2015)

Realistic photometric stereo using partial differential irradiance equation ratios. - Roberto Mecca; Emanuele Rodolà; Daniel Cremers (Comput. Graph., 2015)

The Role of Diffusion in Figure Hunt Games. - Julia Diebold; Sibel Tari; Daniel Cremers (J. Math. Imaging Vis., 2015)

A simple and effective relevance-based point sampling for 3D shapes. - Emanuele Rodolà; Andrea Albarelli; Daniel Cremers; Andrea Torsello (Pattern Recognit. Lett., 2015)

The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings. - Thomas Möllenhoff; Evgeny Strekalovskiy; Michael Möller 001; Daniel Cremers (SIAM J. Imaging Sci., 2015)

Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications. - Youngwook Kee; Hansang Lee; Junho Yim; Daniel Cremers; Junmo Kim 002 (IEEE Signal Process. Lett., 2015)

Car detection by fusion of HOG and causal MRF. - Satish Madhogaria; Paul M. Baggenstoss; Marek Schikora; Wolfgang Koch 001; Daniel Cremers (IEEE Trans. Aerosp. Electron. Syst., 2015)

Variational Depth From Focus Reconstruction. - Michael Möller 001; Martin Benning; Carola Schönlieb; Daniel Cremers (IEEE Trans. Image Process., 2015)

Image Segmentation with Shape Priors: Explicit Versus Implicit Representations. - Daniel Cremers (Handbook of Mathematical Methods in Imaging, 2015)

Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence. - Matthias Vestner; Emanuele Rodolà; Thomas Windheuser; Samuel Rota Bulò; Daniel Cremers (Perspectives in Shape Analysis, 2016)

Partial Matching of Deformable Shapes. - Luca Cosmo; Emanuele Rodolà; Michael M. Bronstein; Andrea Torsello; Daniel Cremers; Yusuf Sahillioglu (3DOR@Eurographics, 2016)

Matching of Deformable Shapes with Topological Noise. - Zorah Lähner; Emanuele Rodolà; Michael M. Bronstein; Daniel Cremers; Oliver Burghard; Luca Cosmo; Alexander Dieckmann; Reinhard Klein; Yusuf Sahillioglu (3DOR@Eurographics, 2016)

FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture. - Caner Hazirbas; Lingni Ma; Csaba Domokos; Daniel Cremers (ACCV (1), 2016)

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. - Zorah Lähner; Emanuele Rodolà; Frank R. Schmidt; Michael M. Bronstein; Daniel Cremers (CVPR, 2016)

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. - Nikolaus Mayer; Eddy Ilg; Philip Häusser; Philipp Fischer; Daniel Cremers; Alexey Dosovitskiy; Thomas Brox (CVPR, 2016)

Sublabel-Accurate Relaxation of Nonconvex Energies. - Thomas Möllenhoff; Emanuel Laude; Michael Möller 001; Jan Lellmann; Daniel Cremers (CVPR, 2016)

Non-rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding. - Ioannis Chiotellis; Rudolph Triebel; Thomas Windheuser; Daniel Cremers (ECCV (2), 2016)

Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies. - Emanuel Laude; Thomas Möllenhoff; Michael Möller 001; Jan Lellmann; Daniel Cremers (ECCV (1), 2016)

A Convex Solution to Spatially-Regularized Correspondence Problems. - Thomas Windheuser; Daniel Cremers (ECCV (2), 2016)

Scaling the world of monocular SLAM with INS-measurements for UAS navigation. - Daniel Bender; Fahmi Rouatbi; Marek Schikora; Daniel Cremers; Wolfgang Koch 001 (FUSION, 2016)

A game-theoretical approach for joint matching of multiple feature throughout unordered images. - Luca Cosmo; Andrea Albarelli; Filippo Bergamasco; Andrea Torsello; Emanuele Rodolà; Daniel Cremers (ICPR, 2016)

CPA-SLAM: Consistent plane-model alignment for direct RGB-D SLAM. - Lingni Ma; Christian Kerl; Jörg Stückler; Daniel Cremers (ICRA, 2016)

Stream-based Active Learning for efficient and adaptive classification of 3D objects. - Alexander Narr; Rudolph Triebel; Daniel Cremers (ICRA, 2016)

Direct visual-inertial odometry with stereo cameras. - Vladyslav Usenko; Jakob J. Engel; Jörg Stückler; Daniel Cremers (ICRA, 2016)

Model-free novelty-based diffusion MRI. - Vladimir Golkov; Tim Sprenger; Jonathan Sperl; Marion I. Menzel; Michael Czisch; Philipp G. Sämann; Daniel Cremers (ISBI, 2016)

A position free boresight calibration for INS-camera systems. - Daniel Bender; Daniel Cremers; Wolfgang Koch 001 (MFI, 2016)

Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images. - Vladimir Golkov; Marcin J. Skwark; Antonij Golkov; Alexey Dosovitskiy; Thomas Brox; Jens Meiler; Daniel Cremers (NIPS, 2016)

Anisotropic Diffusion Descriptors. - Davide Boscaini; Jonathan Masci; Emanuele Rodolà; Michael M. Bronstein; Daniel Cremers (Comput. Graph. Forum, 2016)

Non-Rigid Puzzles. - Or Litany; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein; Daniel Cremers (Comput. Graph. Forum, 2016)

Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution. - Hendrik Dirks; Jonas Geiping; Daniel Cremers; Michael Möller 001 (CoRR, 2016)

A Photometrically Calibrated Benchmark For Monocular Visual Odometry. - Jakob J. Engel; Vladyslav Usenko; Daniel Cremers (CoRR, 2016)

Precise Relaxation of the Mumford-Shah Functional. - Thomas Möllenhoff; Daniel Cremers (CoRR, 2016)

Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks. - Sahand Sharifzadeh; Ioannis Chiotellis; Rudolph Triebel; Daniel Cremers (CoRR, 2016)

Autonomous Exploration with a Low-Cost Quadrocopter using Semi-Dense Monocular SLAM. - Lukas von Stumberg; Vladyslav Usenko; Jakob J. Engel; Jörg Stückler; Daniel Cremers (CoRR, 2016)

Bayesian Inference of Bijective Non-Rigid Shape Correspondence. - Matthias Vestner; Roee Litman; Alexander M. Bronstein; Emanuele Rodolà; Daniel Cremers (CoRR, 2016)

Image-based Localization with Spatial LSTMs. - Florian Walch; Caner Hazirbas; Laura Leal-Taixé; Torsten Sattler; Sebastian Hilsenbeck; Daniel Cremers (CoRR, 2016)

Midrange Geometric Interactions for Semantic Segmentation - Constraints for Continuous Multi-label Optimization. - Julia Diebold; Claudia Nieuwenhuis; Daniel Cremers (Int. J. Comput. Vis., 2016)

On the Implementation of Collaborative TV Regularization: Application to Cartoon+Texture Decomposition. - Joan Duran; Michael Möller 001; Catalina Sbert; Daniel Cremers (Image Process. Line, 2016)

Spectral Decompositions Using One-Homogeneous Functionals. - Martin Burger 001; Guy Gilboa; Michael Möller 001; Lina Eckardt; Daniel Cremers (SIAM J. Imaging Sci., 2016)

Collaborative Total Variation: A General Framework for Vectorial TV Models. - Joan Duran; Michael Möller 001; Catalina Sbert; Daniel Cremers (SIAM J. Imaging Sci., 2016)

q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. - Vladimir Golkov; Alexey Dosovitskiy; Jonathan I. Sperl; Marion I. Menzel; Michael Czisch; Philipp G. Sämann; Thomas Brox; Daniel Cremers (IEEE Trans. Medical Imaging, 2016)

Computer Vision für 3D Rekonstruktion. - Daniel Cremers (50 Jahre Universitäts-Informatik in München, 2017)

Efficient Deformable Shape Correspondence via Kernel Matching. - Matthias Vestner; Zorah Lähner; Amit Boyarski; Or Litany; Ron Slossberg; Tal Remez; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel; Daniel Cremers (3DV, 2017)

Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction. - Robert Maier 001; Raphael Schaller; Daniel Cremers (BMVC, 2017)

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

One-Shot Video Object Segmentation. - Sergi Caelles; Kevis-Kokitsi Maninis; Jordi Pont-Tuset; Laura Leal-Taixé; Daniel Cremers; Luc Van Gool (CVPR, 2017)

Learning by Association - A Versatile Semi-Supervised Training Method for Neural Networks. - Philip Häusser; Alexander Mordvintsev; Daniel Cremers (CVPR, 2017)

An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Surface Models. - Mariano Jaimez; Thomas J. Cashman 001; Andrew W. Fitzgibbon; Javier González Jiménez 001; Daniel Cremers (CVPR, 2017)

A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting. - Yvain Quéau; Tao Wu 006; François Lauze; Jean-Denis Durou; Daniel Cremers (CVPR, 2017)

KillingFusion: Non-rigid 3D Reconstruction without Correspondences. - Miroslava Slavcheva; Maximilian Baust; Daniel Cremers; Slobodan Ilic (CVPR, 2017)

Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. - Matthias Vestner; Roee Litman; Emanuele Rodolà; Alexander M. Bronstein; Daniel Cremers (CVPR, 2017)

From monocular SLAM to autonomous drone exploration. - Lukas von Stumberg; Vladyslav Usenko; Jakob J. Engel; Jörg Stückler; Daniel Cremers (ECMR, 2017)

Multiframe Motion Coupling for Video Super Resolution. - Jonas Geiping; Hendrik Dirks; Daniel Cremers; Michael Möller 001 (EMMCVPR, 2017)

A Variational Approach to Shape-from-Shading Under Natural Illumination. - Yvain Quéau; Jean Mélou; Fabien Castan; Daniel Cremers; Jean-Denis Durou (EMMCVPR, 2017)

Associative Domain Adaptation. - Philip Häusser; Thomas Frerix; Alexander Mordvintsev; Daniel Cremers (ICCV, 2017)

Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting. - Robert Maier 001; Kihwan Kim; Daniel Cremers; Jan Kautz; Matthias Nießner (ICCV, 2017)

Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. - Tim Meinhardt; Michael Möller 001; Caner Hazirbas; Daniel Cremers (ICCV, 2017)

Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems. - Thomas Möllenhoff; Daniel Cremers (ICCV, 2017)

Image-Based Localization Using LSTMs for Structured Feature Correlation. - Florian Walch; Caner Hazirbas; Laura Leal-Taixé; Torsten Sattler; Sebastian Hilsenbeck; Daniel Cremers (ICCV, 2017)

Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras. - Rui Wang 037; Martin Schwörer; Daniel Cremers (ICCV, 2017)

Depth Super-Resolution Meets Uncalibrated Photometric Stereo. - Songyou Peng; Bjoern Haefner; Yvain Quéau; Daniel Cremers (ICCV Workshops, 2017)

De-noising, stabilizing and completing 3D reconstructions on-the-go using plane priors. - Maksym Dzitsiuk; Jürgen Sturm; Robert Maier 001; Lingni Ma; Daniel Cremers (ICRA, 2017)

Fast odometry and scene flow from RGB-D cameras based on geometric clustering. - Mariano Jaimez; Christian Kerl; Javier González Jiménez 001; Daniel Cremers (ICRA, 2017)

Multi-view deep learning for consistent semantic mapping with RGB-D cameras. - Lingni Ma; Jörg Stückler; Christian Kerl; Daniel Cremers (IROS, 2017)

Real-time trajectory replanning for MAVs using uniform B-splines and a 3D circular buffer. - Vladyslav Usenko; Lukas von Stumberg; Andrej Pangercic; Daniel Cremers (IROS, 2017)

Real-time variational stereo reconstruction with applications to large-scale dense SLAM. - Georg Kuschk; Aljaz Bozic; Daniel Cremers (Intelligent Vehicles Symposium, 2017)

Map-based drone homing using shortcuts. - Daniel Bender; Wolfgang Koch 001; Daniel Cremers (MFI, 2017)

Direct methods for 3D reconstruction and visual SLAM. - Daniel Cremers (MVA, 2017)

Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing. - Yvain Quéau; Matthieu Pizenberg; Jean-Denis Durou; Daniel Cremers (QCAV, 2017)

Nonlinear Spectral Image Fusion. - Martin Benning; Michael Möller 001; Raz Z. Nossek; Martin Burger 001; Daniel Cremers; Guy Gilboa; Carola-Bibiane Schönlieb (SSVM, 2017)

Beyond Multi-view Stereo: Shading-Reflectance Decomposition. - Jean Mélou; Yvain Quéau; Jean-Denis Durou; Fabien Castan; Daniel Cremers (SSVM, 2017)

Semi-calibrated Near-Light Photometric Stereo. - Yvain Quéau; Tao Wu 006; Daniel Cremers (SSVM, 2017)

Consistent Partial Matching of Shape Collections via Sparse Modeling. - Luca Cosmo; Emanuele Rodolà; Andrea Albarelli; Facundo Mémoli; Daniel Cremers (Comput. Graph. Forum, 2017)

Partial Functional Correspondence. - Emanuele Rodolà; Luca Cosmo; Michael M. Bronstein; Andrea Torsello; Daniel Cremers (Comput. Graph. Forum, 2017)

Regularized Pointwise Map Recovery from Functional Correspondence. - Emanuele Rodolà; Michael Möller 001; Daniel Cremers (Comput. Graph. Forum, 2017)

Deep Depth From Focus. - Caner Hazirbas; Laura Leal-Taixé; Daniel Cremers (CoRR, 2017)

Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking. - Roberto Henschel; Laura Leal-Taixé; Daniel Cremers; Bodo Rosenhahn (CoRR, 2017)

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

Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking. - Laura Leal-Taixé; Anton Milan; Konrad Schindler; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001 (CoRR, 2017)

Dense Multi-view 3D-reconstruction Without Dense Correspondences. - Yvain Quéau; Jean Mélou; Jean-Denis Durou; Daniel Cremers (CoRR, 2017)

Feature-based or Direct: An Evaluation of Monocular Visual Odometry. - Nan Yang 007; Rui Wang 037; Daniel Cremers (CoRR, 2017)

Regularization for Deep Learning: A Taxonomy. - Jan Kukacka; Vladimir Golkov; Daniel Cremers (CoRR, 2017)

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

Deep Learning for Computer Vision (Dagstuhl Seminar 17391). - Daniel Cremers; Laura Leal-Taixé; René Vidal (Dagstuhl Reports, 2017)

Computer Vision für 3-D-Rekonstruktion - Vom Nischenthema zum Mainstream. - Daniel Cremers (Inform. Spektrum, 2017)

Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization. - Youngwook Kee; Yegang Lee; Mohamed Souiai; Daniel Cremers; Junmo Kim 002 (SIAM J. Imaging Sci., 2017)

Spatially Regularized Fusion of Multiresolution Digital Surface Models. - Georg Kuschk; Pablo d'Angelo; David Gaudrie; Peter Reinartz; Daniel Cremers (IEEE Trans. Geosci. Remote. Sens., 2017)

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

Joint Representation of Primitive and Non-primitive Objects for 3D Vision. - Christiane Sommer; Daniel Cremers (3DV, 2018)

The Double Sphere Camera Model. - Vladyslav Usenko; Nikolaus Demmel; Daniel Cremers (3DV, 2018)

Deep Depth from Focus. - Caner Hazirbas; Sebastian Georg Soyer; Maximilian Christian Staab; Laura Leal-Taixé; Daniel Cremers (ACCV (3), 2018)

A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization. - Emanuel Laude; Tao Wu 006; Daniel Cremers (AISTATS, 2018)

Combinatorial Preconditioners for Proximal Algorithms on Graphs. - Thomas Möllenhoff; Zhenzhang Ye; Tao Wu 006; Daniel Cremers (AISTATS, 2018)

Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs. - Patrick Wenzel; Qadeer Khan; Daniel Cremers; Laura Leal-Taixé (CoRL, 2018)

Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading. - Bjoern Haefner; Yvain Quéau; Thomas Möllenhoff; Daniel Cremers (CVPR, 2018)

Fusion of Head and Full-Body Detectors for Multi-Object Tracking. - Roberto Henschel; Laura Leal-Taixé; Daniel Cremers; Bodo Rosenhahn (CVPR Workshops, 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)

Associative Deep Clustering: Training a Classification Network with No Labels. - Philip Häusser; Johannes Plapp; Vladimir Golkov; Elie Aljalbout; Daniel Cremers (GCPR, 2018)

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

DeepWrinkles: Accurate and Realistic Clothing Modeling. - Zorah Lähner; Daniel Cremers; Tony Tung (ECCV (4), 2018)

Direct Sparse Odometry with Rolling Shutter. - David Schubert; Nikolaus Demmel; Vladyslav Usenko; Jörg Stückler; Daniel Cremers (ECCV (8), 2018)

Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. - Nan Yang 007; Rui Wang 037; Jörg Stückler; Daniel Cremers (ECCV (8), 2018)

Proximal Backpropagation. - Thomas Frerix; Thomas Möllenhoff; Michael Möller 001; Daniel Cremers (ICLR (Poster), 2018)

StaticFusion: Background Reconstruction for Dense RGB-D SLAM in Dynamic Environments. - Raluca Scona; Mariano Jaimez; Yvan R. Petillot; Maurice F. Fallon; Daniel Cremers (ICRA, 2018)

Direct Sparse Visual-Inertial Odometry Using Dynamic Marginalization. - Lukas von Stumberg; Vladyslav Usenko; Daniel Cremers (ICRA, 2018)

Incremental Semi-Supervised Learning from Streams for Object Classification. - Ioannis Chiotellis; Franziska Zimmermann; Daniel Cremers; Rudolph Triebel (IROS, 2018)

LDSO: Direct Sparse Odometry with Loop Closure. - Xiang Gao 006; Rui Wang 037; Nikolaus Demmel; Daniel Cremers (IROS, 2018)

The TUM VI Benchmark for Evaluating Visual-Inertial Odometry. - David Schubert; Thore Goll; Nikolaus Demmel; Vladyslav Usenko; Jörg Stückler; Daniel Cremers (IROS, 2018)

Clustering with Deep Learning: Taxonomy and New Methods. - Elie Aljalbout; Vladimir Golkov; Yawar Siddiqui; Daniel Cremers (CoRR, 2018)

Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. - Seyed Hamid Rezatofighi; Roman Kaskman; Farbod T. Motlagh; Qinfeng Shi; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid 001 (CoRR, 2018)

q-Space Novelty Detection with Variational Autoencoders. - Aleksei Vasilev; Vladimir Golkov; Ilona Lipp; Eleonora Sgarlata; Valentina Tomassini; Derek K. Jones; Daniel Cremers (CoRR, 2018)

Divergence-Free Shape Interpolation and Correspondence. - Marvin Eisenberger; Zorah Lähner; Daniel Cremers (CoRR, 2018)

Modular Vehicle Control for Transferring Semantic Information to Unseen Weather Conditions using GANs. - Patrick Wenzel; Qadeer Khan; Daniel Cremers; Laura Leal-Taixé (CoRR, 2018)

A Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking. - Henning Tjaden; Ulrich Schwanecke; Elmar Schömer; Daniel Cremers (CoRR, 2018)

Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform. - Lingni Ma; Jörg Stückler; Tao Wu 006; Daniel Cremers (CoRR, 2018)

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? - Nikolaus Mayer; Eddy Ilg; Philipp Fischer; Caner Hazirbas; Daniel Cremers; Alexey Dosovitskiy; Thomas Brox (Int. J. Comput. Vis., 2018)

Variational Reflectance Estimation from Multi-view Images. - Jean Mélou; Yvain Quéau; Jean-Denis Durou; Fabien Castan; Daniel Cremers (J. Math. Imaging Vis., 2018)

LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution. - Yvain Quéau; Bastien Durix; Tao Wu 006; Daniel Cremers; François Lauze; Jean-Denis Durou (J. Math. Imaging Vis., 2018)

The homotopy method revisited: Computing solution paths of ℓ1-regularized problems. - Björn Bringmann; Daniel Cremers; Felix Krahmer; Michael Möller 001 (Math. Comput., 2018)

Direct Sparse Odometry. - Jakob J. Engel; Vladlen Koltun; Daniel Cremers (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM. - Paul Bergmann; Rui Wang 037; Daniel Cremers (IEEE Robotics Autom. Lett., 2018)

Omnidirectional DSO: Direct Sparse Odometry With Fisheye Cameras. - Hidenobu Matsuki; Lukas von Stumberg; Vladyslav Usenko; Jörg Stückler; Daniel Cremers (IEEE Robotics Autom. Lett., 2018)

Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias, and Rolling Shutter Effect. - Nan Yang 007; Rui Wang 037; Xiang Gao 006; Daniel Cremers (IEEE Robotics Autom. Lett., 2018)

Photometric Segmentation: Simultaneous Photometric Stereo and Masking. - Bjoern Haefner; Yvain Quéau; Daniel Cremers (3DV, 2019)

Shape Correspondence with Isometric and Non-Isometric Deformations. - Roberto M. Dyke; C. Stride; Yu-Kun Lai; Paul L. Rosin; Mathieu Aubry; Amit Boyarski; Alexander M. Bronstein; Michael M. Bronstein; Daniel Cremers; Matthew Fisher; Thibault Groueix; Daoliang Guo; et al. (3DOR@Eurographics, 2019)

Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. - Emanuel Laude; Tao Wu 006; Daniel Cremers (AISTATS, 2019)

Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light. - Eunah Jung; Nan Yang 007; Daniel Cremers (CoRL, 2019)

Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus. - Thomas Möllenhoff; Daniel Cremers (CVPR, 2019)

Controlling Neural Networks via Energy Dissipation. - Michael Möller 001; Thomas Möllenhoff; Daniel Cremers (ICCV, 2019)

Variational Uncalibrated Photometric Stereo Under General Lighting. - Zhenzhang Ye; Bjoern Haefner; Maolin Gao; Tao Wu 006; Yvain Quéau; Daniel Cremers (ICCV, 2019)

Flat Metric Minimization with Applications in Generative Modeling. - Thomas Möllenhoff; Daniel Cremers (ICML, 2019)

Towards Generalizing Sensorimotor Control Across Weather Conditions. - Qadeer Khan; Patrick Wenzel; Daniel Cremers; Laura Leal-Taixé (IROS, 2019)

Rolling-Shutter Modelling for Direct Visual-Inertial Odometry. - David Schubert; Nikolaus Demmel; Lukas von Stumberg; Vladyslav Usenko; Daniel Cremers (IROS, 2019)

Divergence-Free Shape Correspondence by Deformation. - Marvin Eisenberger; Zorah Lähner; Daniel Cremers (Comput. Graph. Forum, 2019)

Probabilistic Discriminative Learning with Layered Graphical Models. - Yuesong Shen; Tao Wu 006; Csaba Domokos; Daniel Cremers (CoRR, 2019)

Linear Inequality Constraints for Neural Network Activations. - Thomas Frerix; Matthias Nießner; Daniel Cremers (CoRR, 2019)

DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation. - Rui Wang 037; Nan Yang 007; Jörg Stückler; Daniel Cremers (CoRR, 2019)

GN-Net: The Gauss-Newton Loss for Deep Direct SLAM. - Lukas von Stumberg; Patrick Wenzel; Qadeer Khan; Daniel Cremers (CoRR, 2019)

Learning to Evolve. - Jan Schuchardt; Vladimir Golkov; Daniel Cremers (CoRR, 2019)

CVPR19 Tracking and Detection Challenge: How crowded can it get? - Patrick Dendorfer; Seyed Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2019)

Lifting methods for manifold-valued variational problems. - Thomas Vogt; Evgeny Strekalovskiy; Daniel Cremers; Jan Lellmann (CoRR, 2019)

Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction. - Sebastian Weiss; Robert Maier 001; Rüdiger Westermann; Daniel Cremers; Nils Thuerey (CoRR, 2019)

Bregman Proximal Framework for Deep Linear Neural Networks. - Mahesh Chandra Mukkamala; Felix Westerkamp; Emanuel Laude; Daniel Cremers; Peter Ochs (CoRR, 2019)

Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods. - Luca Della Libera; Vladimir Golkov; Yue Zhu; Arman Mielke; Daniel Cremers (CoRR, 2019)

On the well-posedness of uncalibrated photometric stereo under general lighting. - Mohammed Brahimi 002; Yvain Quéau; Bjoern Haefner; Daniel Cremers (CoRR, 2019)

Informative GANs via Structured Regularization of Optimal Transport. - Pierre Bréchet; Tao Wu 006; Thomas Möllenhoff; Daniel Cremers (CoRR, 2019)

Video Object Segmentation without Temporal Information. - Kevis-Kokitsi Maninis; Sergi Caelles; Yuhua Chen; Jordi Pont-Tuset; Laura Leal-Taixé; Daniel Cremers; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

A Region-Based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking. - Henning Tjaden; Ulrich Schwanecke; Elmar Schömer; Daniel Cremers (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Unsupervised Dense Shape Correspondence using Heat Kernels. - Mehmet Aygün; Zorah Lähner; Daniel Cremers (3DV, 2020)

Distributed Photometric Bundle Adjustment. - Nikolaus Demmel; Maolin Gao; Emanuel Laude; Tao Wu 006; Daniel Cremers (3DV, 2020)

3D Deep Learning for Biological Function Prediction from Physical Fields. - Vladimir Golkov; Marcin J. Skwark; Atanas Mirchev; Georgi Dikov; Alexander R. Geanes; Jeffrey L. Mendenhall; Jens Meiler; Daniel Cremers (3DV, 2020)

Simulated Annealing for 3D Shape Correspondence. - Benjamin Holzschuh; Zorah Lähner; Daniel Cremers (3DV, 2020)

LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization. - Lukas von Stumberg; Patrick Wenzel; Nan Yang 007; Daniel Cremers (3DV, 2020)

Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning. - Zhenzhang Ye; Thomas Möllenhoff; Tao Wu 006; Daniel Cremers (AISTATS, 2020)

Smooth Shells: Multi-Scale Shape Registration With Functional Maps. - Marvin Eisenberger; Zorah Lähner; Daniel Cremers (CVPR, 2020)

Homogeneous Linear Inequality Constraints for Neural Network Activations. - Thomas Frerix; Matthias Nießner; Daniel Cremers (CVPR Workshops, 2020)

Efficient Derivative Computation for Cumulative B-Splines on Lie Groups. - Christiane Sommer; Vladyslav Usenko; David Schubert; Nikolaus Demmel; Daniel Cremers (CVPR, 2020)

Correspondence-Free Material Reconstruction using Sparse Surface Constraints. - Sebastian Weiss; Robert Maier 001; Daniel Cremers; Rüdiger Westermann; Nils Thuerey (CVPR, 2020)

D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. - Nan Yang 007; Lukas von Stumberg; Rui Wang 037; Daniel Cremers (CVPR, 2020)

Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels. - Lukas Koestler; Nan Yang 007; Rui Wang 037; Daniel Cremers (GCPR, 2020)

4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving. - Patrick Wenzel; Rui Wang 037; Nan Yang 007; Qing Cheng 001; Qadeer Khan; Lukas von Stumberg; Niclas Zeller; Daniel Cremers (GCPR, 2020)

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization. - Juan Du 012; Rui Wang 037; Daniel Cremers (ECCV (4), 2020)

Hamiltonian Dynamics for Real-World Shape Interpolation. - Marvin Eisenberger; Daniel Cremers (ECCV (4), 2020)

PrimiTect: Fast Continuous Hough Voting for Primitive Detection. - Christiane Sommer; Yumin Sun; Erik Bylow; Daniel Cremers (ICRA, 2020)

DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation. - Rui Wang 037; Nan Yang 007; Jörg Stückler; Daniel Cremers (ICRA, 2020)

Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Daniel Cremers (NeurIPS, 2020)

Effective Version Space Reduction for Convolutional Neural Networks. - Jiayu Liu; Ioannis Chiotellis; Rudolph Triebel; Daniel Cremers (ECML/PKDD (2), 2020)

Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. - Lu Sang; Bjoern Haefner; Daniel Cremers (WACV, 2020)

Learn to Predict Sets Using Feed-Forward Neural Networks. - Hamid Rezatofighi; Roman Kaskman; Farbod T. Motlagh; Qinfeng Shi; Anton Milan; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid 001 (CoRR, 2020)

MOT20: A benchmark for multi object tracking in crowded scenes. - Patrick Dendorfer; Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2020)

Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs. - Yuesong Shen; Daniel Cremers (CoRR, 2020)

Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions. - Vladimir Golkov; Alexander Becker; Daniel T. Plop; Daniel Cuturilo; Neda Davoudi; Jeffrey L. Mendenhall; Rocco Moretti; Jens Meiler; Daniel Cremers (CoRR, 2020)

Speech Synthesis and Control Using Differentiable DSP. - Giorgio Fabbro; Vladimir Golkov; Thomas Kemp; Daniel Cremers (CoRR, 2020)

Neural Online Graph Exploration. - Ioannis Chiotellis; Daniel Cremers (CoRR, 2020)

Bregman Proximal Mappings and Bregman-Moreau Envelopes Under Relative Prox-Regularity. - Emanuel Laude; Peter Ochs; Daniel Cremers (J. Optim. Theory Appl., 2020)

Photometric Depth Super-Resolution. - Bjoern Haefner; Songyou Peng; Alok Verma; Yvain Quéau; Daniel Cremers (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. - Christiane Sommer; Yumin Sun; Leonidas J. Guibas; Daniel Cremers; Tolga Birdal (IEEE Robotics Autom. Lett., 2020)

GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization. - Lukas von Stumberg; Patrick Wenzel; Qadeer Khan; Daniel Cremers (IEEE Robotics Autom. Lett., 2020)

Visual-Inertial Mapping With Non-Linear Factor Recovery. - Vladyslav Usenko; Nikolaus Demmel; David Schubert; Jörg Stückler; Daniel Cremers (IEEE Robotics Autom. Lett., 2020)

TUM Flyers: Vision - Based MAV Navigation for Systematic Inspection of Structures. - Vladyslav Usenko; Lukas von Stumberg; Jörg Stückler; Daniel Cremers (EuRoC, 2020)

Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis. - Viktoria Ehm; Daniel Cremers; Florian Bernard (3DV, 2021)

Recovering Real-World Reflectance Properties and Shading From HDR Imagery. - Bjoern Haefner; Simon Green; Alan Oursland; Daniel Andersen; Michael Goesele; Daniel Cremers; Richard A. Newcombe; Thomas Whelan (3DV, 2021)

Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry. - Qadeer Khan; Patrick Wenzel; Daniel Cremers (AISTATS, 2021)

TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo. - Lukas Koestler; Nan Yang 007; Niclas Zeller; Daniel Cremers (CoRL, 2021)

Square Root Bundle Adjustment for Large-Scale Reconstruction. - Nikolaus Demmel; Christiane Sommer; Daniel Cremers; Vladyslav Usenko (CVPR, 2021)

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. - Marvin Eisenberger; David Novotný; Gael Kerchenbaum; Patrick Labatut; Natalia Neverova; Daniel Cremers; Andrea Vedaldi (CVPR, 2021)

Isometric Multi-Shape Matching. - Maolin Gao; Zorah Lähner; Johan Thunberg; Daniel Cremers; Florian Bernard (CVPR, 2021)

Post-Hoc Uncertainty Calibration for Domain Drift Scenarios. - Christian Tomani; Sebastian Gruber 001; Muhammed Ebrar Erdem; Daniel Cremers; Florian Buettner 001 (CVPR, 2021)

MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera. - Felix Wimbauer; Nan Yang 007; Lukas von Stumberg; Niclas Zeller; Daniel Cremers (CVPR, 2021)

SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition. - Yan Xia 003; Yusheng Xu; Shuang Li 008; Rui Wang 037; Juan Du 012; Daniel Cremers; Uwe Stilla (CVPR, 2021)

i3DMM: Deep Implicit 3D Morphable Model of Human Heads. - Tarun Yenamandra; Ayush Tewari; Florian Bernard; Hans-Peter Seidel; Mohamed Elgharib; Daniel Cremers; Christian Theobalt (CVPR, 2021)

Multidirectional Conjugate Gradients for Scalable Bundle Adjustment. - Simon Weber 002; Nikolaus Demmel; Daniel Cremers (GCPR, 2021)

Sublabel-Accurate Multilabeling Meets Product Label Spaces. - Zhenzhang Ye; Bjoern Haefner; Yvain Quéau; Thomas Möllenhoff; Daniel Cremers (GCPR, 2021)

Square Root Marginalization for Sliding-Window Bundle Adjustment. - Nikolaus Demmel; David Schubert; Christiane Sommer; Daniel Cremers; Vladyslav Usenko (ICCV, 2021)

Variational Data Assimilation with a Learned Inverse Observation Operator. - Thomas Frerix; Dmitrii Kochkov; Jamie A. Smith; Daniel Cremers; Michael P. Brenner; Stephan Hoyer (ICML, 2021)

Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry. - Mariia Gladkova; Rui Wang 037; Niclas Zeller; Daniel Cremers (ICRA, 2021)

Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. - Patrick Wenzel; Torsten Schön; Laura Leal-Taixé; Daniel Cremers (ICRA, 2021)

TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset. - Simon Klenk; Jason Chui; Nikolaus Demmel; Daniel Cremers (IROS, 2021)

Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. - Martin Wudenka; Marcus Gerhard Müller; Nikolaus Demmel; Armin Wedler; Rudolph Triebel; Daniel Cremers; Wolfgang Stürzl (IROS, 2021)

Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation. - Florian Bernard; Daniel Cremers; Johan Thunberg (NeurIPS, 2021)

STEP: Segmenting and Tracking Every Pixel. - Mark Weber; Jun Xie; Maxwell D. Collins; Yukun Zhu; Paul Voigtlaender; Hartwig Adam; Bradley Green; Andreas Geiger 001; Bastian Leibe; Daniel Cremers; Aljosa Osep; Laura Leal-Taixé; et al. (NeurIPS Datasets and Benchmarks, 2021)

Bregman Proximal Gradient Algorithms for Deep Matrix Factorization. - Mahesh Chandra Mukkamala; Felix Westerkamp; Emanuel Laude; Daniel Cremers; Peter Ochs (SSVM, 2021)

Explicit pairwise factorized graph neural network for semi-supervised node classification. - Yu Wang 158; Yuesong Shen; Daniel Cremers (UAI, 2021)

Rotation-Equivariant Deep Learning for Diffusion MRI. - Philip Müller; Vladimir Golkov; Valentina Tomassini; Daniel Cremers (CoRR, 2021)

DeepLab2: A TensorFlow Library for Deep Labeling. - Mark Weber; Huiyu Wang; Siyuan Qiao; Jun Xie; Maxwell D. Collins; Yukun Zhu; Liangzhe Yuan; Dahun Kim; Qihang Yu; Daniel Cremers; Laura Leal-Taixé; Alan L. Yuille; et al. (CoRR, 2021)

Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization. - Jason Chui; Simon Klenk; Daniel Cremers (CoRR, 2021)

Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry. - Ji Yang; Lu Sang; Daniel Cremers (CoRR, 2021)

Scene Graph Generation for Better Image Captioning? - Maximilian Mozes; Martin Schmitt; Vladimir Golkov; Hinrich Schütze; Daniel Cremers (CoRR, 2021)

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. - Patrick Dendorfer; Aljosa Osep; Anton Milan; Konrad Schindler; Daniel Cremers; Ian Reid 001; Stefan Roth 001; Laura Leal-Taixé (Int. J. Comput. Vis., 2021)

Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections. - Zhenzhang Ye; Tarun Yenamandra; Florian Bernard; Daniel Cremers (AAAI, 2022)

Biologically Inspired Neural Path Finding. - Hang Li 010; Qadeer Khan; Volker Tresp; Daniel Cremers (BI, 2022)

PRISM: Probabilistic Real-Time Inference in Spatial World Models. - Atanas Mirchev; Baris Kayalibay; Ahmed Agha; Patrick van der Smagt; Daniel Cremers; Justin Bayer (CoRL, 2022)

A Unified Framework for Implicit Sinkhorn Differentiation. - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Florian Bernard; Daniel Cremers (CVPR, 2022)

The Probabilistic Normal Epipolar Constraint for Frame- To-Frame Rotation Optimization under Uncertain Feature Positions. - Dominik Muhle; Lukas Koestler; Nikolaus Demmel; Florian Bernard; Daniel Cremers (CVPR, 2022)

A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. - Paul Roetzer; Paul Swoboda; Daniel Cremers; Florian Bernard (CVPR, 2022)

Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. - Christiane Sommer; Lu Sang; David Schubert; Daniel Cremers (CVPR, 2022)

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. - Aysim Toker; Lukas Kondmann; Mark Weber; Marvin Eisenberger; Andrés Camero; Jingliang Hu; Ariadna Pregel Hoderlein; Çaglar Senaras; Timothy Davis; Daniel Cremers; Giovanni Marchisio; Xiao Xiang Zhu 001; et al. (CVPR, 2022)

Intrinsic Neural Fields: Learning Functions on Manifolds. - Lukas Koestler; Daniel Grittner; Michael Möller 001; Daniel Cremers; Zorah Lähner (ECCV (2), 2022)

Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. - Christian Tomani; Daniel Cremers; Florian Buettner 001 (ECCV (13), 2022)

Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion. - Dominik Rößle; Daniel Cremers; Torsten Schön (ICANN (1), 2022)

Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation. - Deepan Das; Qadeer Khan; Daniel Cremers (ICIP, 2022)

Efficient and Flexible Sublabel-Accurate Energy Minimization. - Zhakshylyk Nurlanov; Daniel Cremers; Florian Bernard (ICPR, 2022)

Lateral Ego-Vehicle Control Without Supervision Using Point Clouds. - Florian Müller 015; Qadeer Khan; Daniel Cremers (ICPRAI (1), 2022)

Vision-Based Large-scale 3D Semantic Mapping for Autonomous Driving Applications. - Qing Cheng 001; Niclas Zeller; Daniel Cremers (ICRA, 2022)

DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment. - Mariia Gladkova; Nikita Korobov; Nikolaus Demmel; Aljosa Osep; Laura Leal-Taixé; Daniel Cremers (IROS, 2022)

What Makes Graph Neural Networks Miscalibrated? - Hans Hao-Hsun Hsu; Yuesong Shen; Christian Tomani; Daniel Cremers (NeurIPS, 2022)

Deep Combinatorial Aggregation. - Yuesong Shen; Daniel Cremers (NeurIPS, 2022)

HDSDF: Hybrid Directional and Signed Distance Functions for Fast Inverse Rendering. - Tarun Yenamandra; Ayush Tewari; Nan Yang 007; Florian Bernard; Christian Theobalt; Daniel Cremers (CoRR, 2022)

Implicit Shape Completion via Adversarial Shape Priors. - Abhishek Saroha; Marvin Eisenberger; Tarun Yenamandra; Daniel Cremers (CoRR, 2022)

Power Bundle Adjustment for Large-Scale 3D Reconstruction. - Simon Weber 002; Nikolaus Demmel; Daniel Cremers (CoRR, 2022)

VPAIR - Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments. - Michael Schleiss; Fahmi Rouatbi; Daniel Cremers (CoRR, 2022)

CHALLENGER: Training with Attribution Maps. - Christian Tomani; Daniel Cremers (CoRR, 2022)

A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs. - Hans Hao-Hsun Hsu; Yuesong Shen; Daniel Cremers (CoRR, 2022)

PVT3D: Point Voxel Transformers for Place Recognition from Sparse Lidar Scans. - Yan Xia 003; Mariia Gladkova; Rui Wang 037; João F. Henriques; Daniel Cremers; Uwe Stilla (CoRR, 2022)

Learn to Predict Sets Using Feed-Forward Neural Networks. - Hamid Rezatofighi; Tianyu Zhu 001; Roman Kaskman; Farbod T. Motlagh; Javen Qinfeng Shi; Anton Milan; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

DM-VIO: Delayed Marginalization Visual-Inertial Odometry. - Lukas von Stumberg; Daniel Cremers (IEEE Robotics Autom. Lett., 2022)

Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields. - Hartmut Bauermeister; Emanuel Laude; Thomas Möllenhoff; Michael Möller 001; Daniel Cremers (SIAM J. Imaging Sci., 2022)

Power Bundle Adjustment for Large-Scale 3D Reconstruction. - Simon Weber 002; Nikolaus Demmel; Tin Chon Chan; Daniel Cremers (CVPR, 2023)

G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors. - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Daniel Cremers (CVPR, 2023)

Semidefinite Relaxations for Robust Multiview Triangulation. - Linus Härenstam-Nielsen; Niclas Zeller; Daniel Cremers (CVPR, 2023)

Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. - Dominik Muhle; Lukas Koestler; Krishna Murthy Jatavallabhula; Daniel Cremers (CVPR, 2023)

Behind the Scenes: Density Fields for Single View Reconstruction. - Felix Wimbauer; Nan Yang 007; Christian Rupprecht 001; Daniel Cremers (CVPR, 2023)

Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks. - Olaf Wysocki; Yan Xia 003; Magdalena Wysocki; Eleonora Grilli; Ludwig Hoegner; Daniel Cremers; Uwe Stilla (CVPR Workshops, 2023)

Non-Separable Multi-Dimensional Network Flows for Visual Computing. - Viktoria Ehm; Daniel Cremers; Florian Bernard (Eurographics (Posters), 2023)

CASSPR: Cross Attention Single Scan Place Recognition. - Yan Xia 003; Mariia Gladkova; Rui Wang 037; Qianyun Li; Uwe Stilla; João F. Henriques; Daniel Cremers (ICCV, 2023)

To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. - Marc Botet Colomer; Pier Luigi Dovesi; Theodoros Panagiotakopoulos; Joao Frederico Carvalho; Linus Härenstam-Nielsen; Hossein Azizpour; Hedvig Kjellström; Daniel Cremers; Matteo Poggi (ICCV, 2023)

ΣIGMA: Scale-Invariant Global Sparse Shape Matching. - Maolin Gao; Paul Roetzer; Marvin Eisenberger; Zorah Lähner; Michael Möller 001; Daniel Cremers; Florian Bernard (ICCV, 2023)

DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates. - Haoang Li; Jinhu Dong; Binghui Wen; Ming Gao; Tianyu Huang; Yun-Hui Liu 001; Daniel Cremers (ICCV, 2023)

Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. - Dominik Schnaus; Jongseok Lee; Daniel Cremers; Rudolph Triebel (ICML, 2023)

Beyond In-Domain Scenarios: Robust Density-Aware Calibration. - Christian Tomani; Futa Kai Waseda; Yuesong Shen; Daniel Cremers (ICML, 2023)

Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation. - Jeremias Gerner; Dominik Rößle; Daniel Cremers; Klaus Bogenberger; Torsten Schön; Stefanie Schmidtner (ITSC, 2023)

Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller. - Yining Ma; Qadeer Khan; Daniel Cremers (ITSC, 2023)

LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels. - Jonathan Schmidt 002; Qadeer Khan; Daniel Cremers (ITSC, 2023)

Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes. - George Eskandar; Youssef Farag; Tarun Yenamandra; Daniel Cremers; Karim Guirguis; Bin Yang 009 (IV, 2023)

Neural Implicit Representations for Physical Parameter Inference from a Single Video. - Florian Hofherr; Lukas Koestler; Florian Bernard; Daniel Cremers (WACV, 2023)

High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. - Lu Sang; Bjoern Haefner; Xingxing Zuo 001; Daniel Cremers (WACV, 2023)

Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information. - Dekai Zhu; Qadeer Khan; Daniel Cremers (CoRR, 2023)

Scale-Equivariant Deep Learning for 3D Data. - Thomas Wimmer 001; Vladimir Golkov; Hoai Nam Dang; Moritz Zaiss; Andreas Maier 001; Daniel Cremers (CoRR, 2023)

Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution. - Hoai Nam Dang; Vladimir Golkov; Thomas Wimmer 001; Daniel Cremers; Andreas K. Maier; Moritz Zaiss (CoRR, 2023)

Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling. - Lu Sang; Abhishek Saroha; Maolin Gao; Daniel Cremers (CoRR, 2023)

SIGMA: Scale-Invariant Global Sparse Shape Matching. - Maolin Gao; Paul Roetzer; Marvin Eisenberger; Zorah Lähner; Michael Möller 001; Daniel Cremers; Florian Bernard (CoRR, 2023)

SCP: Scene Completion Pre-training for 3D Object Detection. - Yiming Shan; Yan Xia 003; Yuhong Chen; Daniel Cremers (CoRR, 2023)

ResolvNet: A Graph Convolutional Network with multi-scale Consistency. - Christian Koke; Abhishek Saroha; Yuesong Shen; Marvin Eisenberger; Daniel Cremers (CoRR, 2023)

Quality Control at Your Fingertips: Quality-Aware Translation Models. - Christian Tomani; David Vilar; Markus Freitag; Colin Cherry; Subhajit Naskar; Mara Finkelstein; Daniel Cremers (CoRR, 2023)

Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography. - Dávid Komorowicz; Lu Sang; Ferdinand Maiwald; Daniel Cremers (CoRR, 2023)

A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces. - Zhenzhang Ye; Bjoern Haefner; Yvain Quéau; Thomas Möllenhoff; Daniel Cremers (Int. J. Comput. Vis., 2023)

Semantic Self-adaptation: Enhancing Generalization with a Single Sample. - Sherwin Bahmani; Oliver Hahn 001; Eduard Zamfir; Nikita Araslanov; Daniel Cremers; Stefan Roth 001 (Trans. Mach. Learn. Res., 2023)

E-NeRF: Neural Radiance Fields From a Moving Event Camera. - Simon Klenk; Lukas Koestler; Davide Scaramuzza 001; Daniel Cremers (IEEE Robotics Autom. Lett., 2023)

Learning vision based autonomous lateral vehicle control without supervision. - Qadeer Khan; Idil Sülö; Melis Öcal; Daniel Cremers (Appl. Intell., 2023)

Robust Autonomous Vehicle Pursuit Without Expert Steering Labels. - Jiaxin Pan 005; Changyao Zhou; Mariia Gladkova; Qadeer Khan; Daniel Cremers (IEEE Robotics Autom. Lett., 2023)

Geometrically Consistent Partial Shape Matching. - Viktoria Ehm; Paul Roetzer; Marvin Eisenberger; Maolin Gao; Florian Bernard; Daniel Cremers (3DV, 2024)

S4C: Self-Supervised Semantic Scene Completion With Neural Fields. - Adrian Hayler; Felix Wimbauer; Dominik Muhle; Christian Rupprecht 001; Daniel Cremers (3DV, 2024)

Deep Event Visual Odometry. - Simon Klenk; Marvin Motzet; Lukas Koestler; Daniel Cremers (3DV, 2024)

Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model. - Christian Tomani; David Vilar; Markus Freitag; Colin Cherry; Subhajit Naskar; Mara Finkelstein; Xavier Garcia; Daniel Cremers (ACL (1), 2024)

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization. - Zhenzhang Ye; Gabriel Peyré; Daniel Cremers; Pierre Ablin (AISTATS, 2024)

Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR. - Moritz Zaiss; Junaid R. Rajput; Hoai Nam Dang; Vladimir Golkov; Daniel Cremers; Florian Knoll; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Finsler-Laplace-Beltrami Operators with Application to Shape Analysis. - Simon Weber 002; Thomas Dagès; Maolin Gao; Daniel Cremers (CVPR, 2024)

Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-Light Photometric Stereo. - Mohammed Brahimi 002; Bjoern Haefner; Zhenzhang Ye; Bastian Goldluecke; Daniel Cremers (CVPR, 2024)

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball. - Simon Weber 002; Baris Zöngür; Nikita Araslanov; Daniel Cremers (CVPR, 2024)

Text2Loc: 3D Point Cloud Localization from Natural Language. - Yan Xia 003; Letian Shi; Zifeng Ding; João F. Henriques; Daniel Cremers (CVPR, 2024)

Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation. - Dongliang Cao; Marvin Eisenberger; Nafie El Amrani; Daniel Cremers; Florian Bernard (CVPR, 2024)

Partial-to-Partial Shape Matching with Geometric Consistency. - Viktoria Ehm; Maolin Gao; Paul Roetzer; Marvin Eisenberger; Daniel Cremers; Florian Bernard (CVPR, 2024)

Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation. - Keonhee Han; Dominik Muhle; Felix Wimbauer; Daniel Cremers (CVPR, 2024)

Deep Video Codec Control for Vision Models. - Christoph Reich; Biplob Debnath; Deep Patel; Tim Prangemeier; Daniel Cremers; Srimat Chakradhar (CVPR Workshops, 2024)

A Perspective on Deep Vision Performance with Standard Image and Video Codecs. - Christoph Reich; Oliver Hahn 001; Daniel Cremers; Stefan Roth 001; Biplob Debnath (CVPR Workshops, 2024)

SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation. - Aysim Toker; Marvin Eisenberger; Daniel Cremers; Laura Leal-Taixé (CVPR, 2024)

Cache Me if You Can: Accelerating Diffusion Models through Block Caching. - Felix Wimbauer; Bichen Wu; Edgar Schönfeld; Xiaoliang Dai; Ji Hou; Zijian He; Artsiom Sanakoyeu; Peizhao Zhang; Sam S. Tsai; Jonas Kohler; Christian Rupprecht 001; Daniel Cremers; et al. (CVPR, 2024)

Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis. - Mreenav Shyam Deka; Lu Sang; Daniel Cremers (GCPR (2), 2024)

LiFCal: Online Light Field Camera Calibration via Bundle Adjustment. - Aymeric Fleith; Doaa Ahmed; Daniel Cremers; Niclas Zeller (GCPR (2), 2024)

Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography. - Dávid Komorowicz; Lu Sang; Ferdinand Maiwald; Daniel Cremers (GCPR (2), 2024)

CARLA Drone: Monocular 3D Object Detection from a Different Perspective. - Johannes Meier; Luca Scalerandi; Oussema Dhaouadi; Jacques Kaiser; Nikita Araslanov; Daniel Cremers (GCPR (2), 2024)

Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations. - Lu Sang; Abhishek Saroha; Maolin Gao; Daniel Cremers (GCPR (1), 2024)

Gaussian Splatting in Style. - Abhishek Saroha; Mariia Gladkova; Cecilia Curreli; Dominik Muhle; Tarun Yenamandra; Daniel Cremers (GCPR (2), 2024)

DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting. - Linus Härenstam-Nielsen; Lu Sang; Abhishek Saroha; Nikita Araslanov; Daniel Cremers (ECCV (73), 2024)

GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation. - Bangyan Liao; Zhenjun Zhao; Lu Chen; Haoang Li; Daniel Cremers; Peidong Liu 001 (ECCV (59), 2024)

MeshFeat: Multi-resolution Features for Neural Fields on Meshes. - Mihir Mahajan; Florian Hofherr; Daniel Cremers (ECCV (29), 2024)

Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment. - Simon Weber 002; Je Hyeong Hong; Daniel Cremers (ECCV (13), 2024)

MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. - Linyan Yang; Lukas Hoyer; Mark Weber; Tobias Fischer 004; Dengxin Dai; Laura Leal-Taixé; Marc Pollefeys; Daniel Cremers; Luc Van Gool (ECCV (39), 2024)

HoloNets: Spectral Convolutions do extend to Directed Graphs. - Christian Koke; Daniel Cremers (ICLR, 2024)

An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment. - Sergei Solonets; Daniil Sinitsyn; Lukas von Stumberg; Nikita Araslanov; Daniel Cremers (ICLR, 2024)

Variational Learning is Effective for Large Deep Networks. - Yuesong Shen; Nico Daheim; Bai Cong; Peter Nickl; Gian Maria Marconi; Clement Bazan; Rio Yokota; Iryna Gurevych; Daniel Cremers; Mohammad Emtiyaz Khan; Thomas Möllenhoff (ICML, 2024)

Physically-Based Photometric Bundle Adjustment in Non-Lambertian Environments. - Lei Cheng; Junpeng Hu; Haodong Yan; Mariia Gladkova; Tianyu Huang; Yun-Hui Liu 001; Daniel Cremers; Haoang Li (IROS, 2024)

Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction. - Dominik Rößle; Jeremias Gerner; Klaus Bogenberger; Daniel Cremers; Stefanie Schmidtner; Torsten Schön (IV, 2024)

An Image is Worth 32 Tokens for Reconstruction and Generation. - Qihang Yu; Mark Weber; Xueqing Deng; Xiaohui Shen; Daniel Cremers; Liang-Chieh Chen (NeurIPS, 2024)

SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering. - Mohammed Brahimi 002; Bjoern Haefner; Tarun Yenamandra; Bastian Goldluecke; Daniel Cremers (WACV, 2024)

Masked Event Modeling: Self-Supervised Pretraining for Event Cameras. - Simon Klenk; David Bonello; Lukas Koestler; Nikita Araslanov; Daniel Cremers (WACV, 2024)

Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. - Ugur Sahin; Hang Li 010; Qadeer Khan; Daniel Cremers; Volker Tresp (WACV, 2024)

FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions. - Tarun Yenamandra; Ayush Tewari; Nan Yang 007; Florian Bernard; Christian Theobalt; Daniel Cremers (WACV, 2024)

Gaussian Splatting in Style. - Abhishek Saroha; Mariia Gladkova; Cecilia Curreli; Tarun Yenamandra; Daniel Cremers (CoRR, 2024)

VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition. - Yun-Jin Li; Mariia Gladkova; Yan Xia 003; Rui Wang 037; Daniel Cremers (CoRR, 2024)

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar 'e Ball. - Simon Weber 002; Baris Zöngür; Nikita Araslanov; Daniel Cremers (CoRR, 2024)

Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations. - Christian Tomani; Kamalika Chaudhuri; Ivan Evtimov; Daniel Cremers; Mark Ibrahim (CoRR, 2024)

Localizing Events in Videos with Multimodal Queries. - Gengyuan Zhang; Mang Ling Ada Fok; Yan Xia 003; Yansong Tang; Daniel Cremers; Philip Torr 001; Volker Tresp; Jindong Gu (CoRR, 2024)

TARGO: Benchmarking Target-driven Object Grasping under Occlusions. - Yan Xia 003; Ran Ding; Ziyuan Qin 002; Guanqi Zhan; Kaichen Zhou; Long Yang; Hao Dong 003; Daniel Cremers (CoRR, 2024)

How to Choose a Reinforcement-Learning Algorithm. - Fabian Bongratz; Vladimir Golkov; Lukas Mautner; Luca Della Libera; Frederik Heetmeyer; Felix Czaja; Julian Rodemann; Daniel Cremers (CoRR, 2024)

Image Segmentation in Foundation Model Era: A Survey. - Tianfei Zhou; Fei Zhang 016; Boyu Chang; Wenguan Wang; Ye Yuan 001; Ender Konukoglu; Daniel Cremers (CoRR, 2024)

Enhancing the Performance of Multi-Vehicle Navigation in Unstructured Environments using Hard Sample Mining. - Yining Ma; Ang Li; Qadeer Khan; Daniel Cremers (CoRR, 2024)

Beyond Complete Shapes: A Quantitative Evaluation of 3D Shape Matching Algorithms. - Viktoria Ehm; Nafie El Amrani; Yizheng Xie; Lennart Bastian; Maolin Gao; Weikang Wang 004; Lu Sang; Dongliang Cao; Zorah Lähner; Daniel Cremers; Florian Bernard (CoRR, 2024)

Interactions Across Blocks in Post-Training Quantization of Large Language Models. - Khasmamad Shabanovi; Lukas Wiest; Vladimir Golkov; Daniel Cremers; Thomas Pfeil (CoRR, 2024)

Variational Low-Rank Adaptation Using IVON. - Bai Cong; Nico Daheim; Yuesong Shen; Daniel Cremers; Rio Yokota; Mohammad Emtiyaz Khan; Thomas Möllenhoff (CoRR, 2024)

MA-DV2F: A Multi-Agent Navigation Framework using Dynamic Velocity Vector Field. - Yining Ma; Qadeer Khan; Daniel Cremers (CoRR, 2024)

PG-SLAM: Photo-realistic and Geometry-aware RGB-D SLAM in Dynamic Environments. - Haoang Li; Xiangqi Meng; Xingxing Zuo 001; Zhe Liu 022; Hesheng Wang 001; Daniel Cremers (CoRR, 2024)

HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction. - Wei Zhang; Qing Cheng 001; David Skuddis; Niclas Zeller; Daniel Cremers; Norbert Haala (CoRR, 2024)

SADG: Segment Any Dynamic Gaussian Without Object Trackers. - Yun-Jin Li; Mariia Gladkova; Yan Xia 003; Daniel Cremers (CoRR, 2024)

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair. - Weihang Li; Weirong Chen; Shenhan Qian; Jiajie Chen; Daniel Cremers; Haoang Li (CoRR, 2024)

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes. - Yan Xia 003; Yunxiang Lu; Rui Song 003; Oussema Dhaouadi; João F. Henriques; Daniel Cremers (CoRR, 2024)

UniLoc: Towards Universal Place Recognition Using Any Single Modality. - Yan Xia 003; Zhendong Li; Yun-Jin Li; Letian Shi; Hu Cao; João F. Henriques; Daniel Cremers (CoRR, 2024)

MaskBit: Embedding-free Image Generation via Bit Tokens. - Mark Weber; Lijun Yu; Qihang Yu; Xueqing Deng; Xiaohui Shen; Daniel Cremers; Liang-Chieh Chen (Trans. Mach. Learn. Res., 2024)

Multi-vehicle trajectory prediction and control at intersections using state and intention information. - Dekai Zhu; Qadeer Khan; Daniel Cremers (Neurocomputing, 2024)

VXP: Voxel-Cross-Pixel Large-Scale Camera-LiDAR Place Recognition. - Yun-Jin Li; Mariia Gladkova; Yan Xia 003; Rui Wang 037; Daniel Cremers (3DV, 2025)

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences. - Huajian Zeng; Maolin Gao; Daniel Cremers (3DV, 2025)

Scene-Centric Unsupervised Panoptic Segmentation. - Oliver Hahn 001; Christoph Reich; Nikita Araslanov; Daniel Cremers; Christian Rupprecht 001; Stefan Roth 001 (CVPR, 2025)

Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction. - Cecilia Curreli; Dominik Muhle; Abhishek Saroha; Zhenzhang Ye; Riccardo Marin; Daniel Cremers (CVPR, 2025)

Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. - Thomas Dagès; Simon Weber 002; Ya-Wei Eileen Lin; Ronen Talmon; Daniel Cremers; Michael Lindenbaum; Alfred M. Bruckstein; Ron Kimmel (CVPR, 2025)

RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning. - Yuan Luo; Rudolf Hoffmann; Yan Xia 003; Olaf Wysocki; Benedikt Schwab; Thomas H. Kolbe; Daniel Cremers (CVPR Workshops, 2025)

Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation. - Reza Qorbani; Gianluca Villani; Theodoros Panagiotakopoulos; Marc Botet Colomer; Linus Härenstam-Nielsen; Mattia Segù; Pier Luigi Dovesi; Jussi Karlgren; Daniel Cremers; Federico Tombari; Matteo Poggi (CVPR, 2025)

Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching. - Paul Roetzer; Viktoria Ehm; Daniel Cremers; Zorah Lähner; Florian Bernard (CVPR, 2025)

4Deform: Neural Surface Deformation for Robust Shape Interpolation. - Lu Sang; Zehranaz Canfes; Dongliang Cao; Riccardo Marin; Florian Bernard; Daniel Cremers (CVPR, 2025)

It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data. - Dominik Schnaus; Nikita Araslanov; Daniel Cremers (CVPR, 2025)

PRaDA: Projective Radial Distortion Averaging. - Daniil Sinitsyn; Linus Härenstam-Nielsen; Daniel Cremers (CVPR, 2025)

AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos. - Felix Wimbauer; Weirong Chen; Dominik Muhle; Christian Rupprecht 001; Daniel Cremers (CVPR, 2025)

EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection. - Yizheng Xie; Viktoria Ehm; Paul Roetzer; Nafie El Amrani; Maolin Gao; Florian Bernard; Daniel Cremers (CVPR, 2025)

SparseAlign: a Fully Sparse Framework for Cooperative Object Detection. - Yunshuang Yuan; Yan Xia 003; Daniel Cremers; Monika Sester (CVPR, 2025)

Localizing Events in Videos with Multimodal Queries. - Gengyuan Zhang; Mang Ling Ada Fok; Jialu Ma; Yan Xia 003; Daniel Cremers; Philip Torr 001; Volker Tresp; Jindong Gu (CVPR, 2025)

Implicit Neural Surface Deformation with Explicit Velocity Fields. - Lu Sang; Zehranaz Canfes; Dongliang Cao; Florian Bernard; Daniel Cremers (ICLR, 2025)

On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches. - Florian Hofherr; Bjoern Haefner; Daniel Cremers (WACV, 2025)

ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset. - Olaf Wysocki; Yue Tan; Thomas Froech; Yan Xia 003; Magdalena Wysocki; Ludwig Hoegner; Daniel Cremers; Christoph Holst (WACV, 2025)

Methodology for creation of labeled image datasets of entrained air voids and aggregates in concrete surfaces using confocal laser scanning microscopy. - Viktor Kostic; Qadeer Khan; Daniel Cremers; Jithender Timothy; Thomas Kränkel; Christoph Gehlen (Adv. Eng. Informatics, 2025)

ZDySS - Zero-Shot Dynamic Scene Stylization using Gaussian Splatting. - Abhishek Saroha; Florian Hofherr; Mariia Gladkova; Cecilia Curreli; Or Litany; Daniel Cremers (CoRR, 2025)

FacaDiffy: Inpainting Unseen Facade Parts Using Diffusion Models. - Thomas Froech; Olaf Wysocki; Yan Xia 003; Junyu Xie; Benedikt Schwab; Daniel Cremers; Thomas H. Kolbe (CoRR, 2025)

GAS-NeRF: Geometry-Aware Stylization of Dynamic Radiance Fields. - Nhat Phuong Anh Vu; Abhishek Saroha; Or Litany; Daniel Cremers (CoRR, 2025)

MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models. - Johannes Meier; Louis Inchingolo; Oussema Dhaouadi; Yan Xia 003; Jacques Kaiser; Daniel Cremers (CoRR, 2025)

PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation. - Lei Cheng; Mahdi Saleh; Qing Cheng 001; Lu Sang; Hongli Xu; Daniel Cremers; Federico Tombari (CoRR, 2025)

TwoSquared: 4D Generation from 2D Image Pairs. - Lu Sang; Zehranaz Canfes; Dongliang Cao; Riccardo Marin; Florian Bernard; Daniel Cremers (CoRR, 2025)

Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction. - Weirong Chen; Ganlin Zhang; Felix Wimbauer; Rui Wang 037; Nikita Araslanov; Andrea Vedaldi; Daniel Cremers (CoRR, 2025)

Shape Your Ground: Refining Road Surfaces Beyond Planar Representations. - Oussema Dhaouadi; Johannes Meier; Jacques Kaiser; Daniel Cremers (CoRR, 2025)

Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset. - Oussema Dhaouadi; Johannes Meier; Luca Wahl; Jacques Kaiser; Luca Scalerandi; Nick Wandelburg; Zhuolun Zhou; Nijanthan Berinpanathan; Holger Banzhaf; Daniel Cremers (CoRR, 2025)

OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion. - Shuhao Kang; Martin Y. Liao; Yan Xia 003; Olaf Wysocki; Boris Jutzi; Daniel Cremers (CoRR, 2025)

4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions. - Patrick Wenzel; Nan Yang 007; Rui Wang 037; Niclas Zeller; Daniel Cremers (Int. J. Comput. Vis., 2025)

Prototype Augmented Hypernetworks for Continual Learning. - Neil De La Fuente; Maria Pilligua; Daniel Vidal; Albin Soutiff; Cecilia Curreli; Daniel Cremers; Andrey Barsky (CoRR, 2025)

ProBA: Probabilistic Bundle Adjustment with the Bhattacharyya Coefficient. - Jason Chui; Daniel Cremers (CoRR, 2025)

IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals. - Markus Gross 003; Aya Fahmy; Danit Niwattananan; Dominik Muhle; Rui Song 003; Daniel Cremers; Henri Meeß (CoRR, 2025)

MA-DV$^{2}$F: A Multi-Agent Navigation Framework Using Dynamic Velocity Vector Field. - Yining Ma; Qadeer Khan; Daniel Cremers (IEEE Robotics Autom. Lett., 2025)

VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis. - Sen Wang; Qing Cheng 001; Stefano Gasperini; Wei Zhang; Shun-Cheng Wu; Niclas Zeller; Daniel Cremers; Nassir Navab (IEEE Robotics Autom. Lett., 2025)

Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion. - Aleksandar Jevtic; Christoph Reich; Felix Wimbauer; Oliver Hahn 001; Christian Rupprecht 001; Stefan Roth 001; Daniel Cremers (CoRR, 2025)

True Multimodal In-Context Learning Needs Attention to the Visual Context. - Shuo Chen 014; Jianzhe Liu; Zhen Han 003; Yan Xia 003; Daniel Cremers; Philip Torr 001; Volker Tresp; Jindong Gu (CoRR, 2025)

Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach. - Adithya Mohan; Dominik Rößle; Daniel Cremers; Torsten Schön (CoRR, 2025)

The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking. - Mateo de Mayo; Daniel Cremers; Taihú Pire (CoRR, 2025)

CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry. - Jingchao Xie; Oussema Dhaouadi; Weirong Chen; Johannes Meier; Jacques Kaiser; Daniel Cremers (CoRR, 2025)

GECO: Geometrically Consistent Embedding with Lightspeed Inference. - Regine Hartwig; Dominik Muhle; Riccardo Marin; Daniel Cremers (CoRR, 2025)

Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images. - Philipp Wulff; Felix Wimbauer; Dominik Muhle; Daniel Cremers (CoRR, 2025)