Daniel Cremers

Fellowship
Carl von Linde Senior Fellowship

Institution
Technical University of Munich

Focus Group
Computer Vision & Machine Learning

Scientific Report on TUM-IAS Fellowship

Within the Carl von Linde Senior Fellowship, we were fortunate to attract two outstanding reaserchers as temporary professors to TU Munich. These were Prof. Jörg Stückler (now Max Planck Institute for Intelligent Systems, Tübingen) and Prof. Florian Bernard (now University of Bonn). Rather than giving a complete account of respective research activities, in the following we will highlight two publications in the area of computer vision and shape analysis performed in collaboration with Florian Bernard. full report …

Short CV

Daniel Cremers studied physics and mathematics at Heidelberg University, Indiana State and Stony Brook. He awarded a doctorate in computer science in 2002 at the University of Mannheim. Following this, he worked as a postdoctoral researcher at UCLA. In 2004, he joined Siemens Corporate Research (Princeton) as a member of staff. In 2005, he accepted an appointment to a professorship at the University of Bonn. Professor Cremers has been full professor of computer vision and artificial intelligence at TUM since 2009. He has served on the editorial boards of the International Journal of Computer Vision, IEEE Transactions on Pattern Recognition and Machine Intelligence (until 2014), the SIAM Journal of Imaging Sciences and the Dagstuhl Open Access Series in Informatics (OASIcs).

Selected Awards

2016, Gottfried Wilhelm Leibniz-Preis der DFG
2016, Best Paper Award, Symposium on Graphics Processing
2014, European Research Council Consolidator Grant
2009, European Research Council Starting Grant
2005, Emmy Noether Scholarship
2005, UCLA Chancellor’s Award for Postdoctoral Research
2004, Olympuspreis der Deutschen Arbeitsgemeinschaft für Mustererkennung
2003, Best Paper of the Year, Int. Pattern Recognition Society

Research Interests

Daniel Cremers conducts research on computer vision, machine learning, robotics and optimization. The primary objective of this research is to improve the ability of machines to analyze and interpret image data. His research focuses on convex optimization methods, partial differential equations, graph theoretic algorithms, deep learning and statistical inference.

Selected Publications

Litany, O.; Rodolà, E.; Bronstein, A. M.; Bronstein, M. M.; Cremers, D.: Non-Rigid Puzzles. Computer Graphics Forum 35 (5), 2016, 135-143.
Strekalovskiy, Evgeny; Chambolle, Antonin; Cremers, Daniel: Convex Relaxation of Vectorial Problems with Coupled Regularization. SIAM Journal on Imaging Sciences 7 (1), 2014, 294-336.
Goldlücke, Bastian; Aubry, Mathieu; Kolev, Kalin; Cremers, Daniel: A Super-Resolution Framework for High-Accuracy Multiview Reconstruction. International Journal of Computer Vision 106 (2), 2013, 172-191.
Chambolle, Antonin; Cremers, Daniel; Pock, Thomas: A Convex Approach to Minimal Partitions. SIAM Journal on Imaging Sciences 5 (4), 2012, 1113-1158.
Cremers, D; Kolev, K: Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains. IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (6), 2011, 1161-1174.
Schoenemann, Thomas; Cremers, Daniel: A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (7), 2010, 1153-1164.
Pock, Thomas; Cremers, Daniel; Bischof, Horst; Chambolle, Antonin: Global Solutions of Variational Models with Convex Regularization. SIAM Journal on Imaging Sciences 3 (4), 2010, 1122-1145.
Cremers, D.: Dynamical statistical shape priors for level set-based tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (8), 2006, 1262-1273.
Cremers, Daniel; Osher, Stanley J.; Soatto, Stefano: Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation. International Journal of Computer Vision 69 (3), 2006, 335-351.

2021

Bauermeister, Hartmut; Laude, Emanuel; Möllenhoff, Thomas; Moeller, Michael; Cremers, Daniel: Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields. , 2021 mehr… BibTeX Volltext ( DOI )
Chui, Jason; Klenk, Simon; Cremers, Daniel: Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization. , 2021 mehr… BibTeX Volltext ( DOI )
Demmel, Nikolaus; Schubert, David; Sommer, Christiane; Cremers, Daniel; Usenko, Vladyslav: Square Root Marginalization for Sliding-Window Bundle Adjustment. , 2021 mehr… BibTeX Volltext ( DOI )
Demmel, Nikolaus; Sommer, Christiane; Cremers, Daniel; Usenko, Vladyslav: Square Root Bundle Adjustment for Large-Scale Reconstruction. arXiv, 2021 mehr… BibTeX Volltext ( DOI )
Eisenberger, Marvin; Novotny, David; Kerchenbaum, Gael; Labatut, Patrick; Neverova, Natalia; Cremers, Daniel; Vedaldi, Andrea: NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. , 2021 mehr… BibTeX Volltext ( DOI )
Frerix, Thomas; Kochkov, Dmitrii; Smith, Jamie A.; Cremers, Daniel; Brenner, Michael P.; Hoyer, Stephan: Variational Data Assimilation with a Learned Inverse Observation Operator. , 2021 mehr… BibTeX Volltext ( DOI )
Gladkova, Mariia; Wang, Rui; Zeller, Niclas; Cremers, Daniel: Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry. , 2021 mehr… BibTeX Volltext ( DOI )
Haefner, Bjoern; Green, Simon; Oursland, Alan; Andersen, Daniel; Goesele, Michael; Cremers, Daniel; Newcombe, Richard; Whelan, Thomas: Recovering Real-World Reflectance Properties and Shading From HDR Imagery. 2021 International Conference on 3D Vision (3DV), IEEE, 2021 mehr… BibTeX Volltext ( DOI )
Khan, Qadeer; Wenzel, Patrick; Cremers, Daniel: Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry. , 2021 mehr… BibTeX Volltext ( DOI )
Klenk, Simon; Chui, Jason; Demmel, Nikolaus; Cremers, Daniel: TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset. , 2021 mehr… BibTeX Volltext ( DOI )
Koestler, Lukas; Yang, Nan; Zeller, Niclas; Cremers, Daniel: TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo. , 2021 mehr… BibTeX Volltext ( DOI )
Mozes, Maximilian; Schmitt, Martin; Golkov, Vladimir; Schütze, Hinrich; Cremers, Daniel: Scene Graph Generation for Better Image Captioning? , 2021 mehr… BibTeX Volltext ( DOI )
Mukkamala, Mahesh Chandra; Westerkamp, Felix; Laude, Emanuel; Cremers, Daniel; Ochs, Peter: Bregman Proximal Gradient Algorithms for Deep Matrix Factorization. In: Lecture Notes in Computer Science. Springer International Publishing, 2021 mehr… BibTeX Volltext ( DOI )
Müller, Philip; Golkov, Vladimir; Tomassini, Valentina; Cremers, Daniel: Rotation-Equivariant Deep Learning for Diffusion MRI. , 2021 mehr… BibTeX Volltext ( DOI )
Naeyaert, M; Golkov, V; Cremers, D; Sijbers, J; Verhoye, M: Faster and better HARDI using FSE and holistic reconstruction. International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2021 mehr… BibTeX
Tomani, Christian; Cremers, Daniel; Buettner, Florian: Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. , 2021 mehr… BibTeX Volltext ( DOI )
Tomani, Christian; Gruber, Sebastian; Erdem, Muhammed Ebrar; Cremers, Daniel; Buettner, Florian: Post-hoc Uncertainty Calibration for Domain Drift Scenarios. arXiv, 2021 mehr… BibTeX Volltext ( DOI )
Weber, S; Demmel, N; Cremers, D: Multidirectional Conjugate Gradients for Scalable Bundle Adjustment. German Conference on Pattern Recognition (GCPR), 2021 mehr… BibTeX
Wenzel, Patrick; Schön, Torsten; Leal-Taixé, Laura; Cremers, Daniel: Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. , 2021 mehr… BibTeX Volltext ( DOI )
Wimbauer, Felix; Yang, Nan; von Stumberg, Lukas; Zeller, Niclas; Cremers, Daniel: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera. arXiv, 2021 mehr… BibTeX Volltext ( DOI )
Wudenka, Martin; Müller, Marcus G.; Demmel, Nikolaus; Wedler, Armin; Triebel, Rudolph; Cremers, Daniel; Stürzl, Wolfgang: Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. , 2021 mehr… BibTeX Volltext ( DOI )
Xia, Yan; Xu, Yusheng; Li, Shuang; Wang, Rui; Du, Juan; Cremers, Daniel; Stilla, Uwe: SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition. arXiv, 2021 mehr… BibTeX Volltext ( DOI )
Ye, Zhenzhang; Haefner, Bjoern; Quéau, Yvain; Möllenhoff, Thomas; Cremers, Daniel: Sublabel-Accurate Multilabeling Meets Product Label Spaces. In: Lecture Notes in Computer Science. Springer International Publishing, 2021 mehr… BibTeX Volltext ( DOI )

2020

Aygün, Mehmet; Lähner, Zorah; Cremers, Daniel: Unsupervised Dense Shape Correspondence using Heat Kernels. , 2020 mehr… BibTeX Volltext ( DOI )
Brahimi, Mohammed; Quéau, Yvain; Haefner, Bjoern; Cremers, Daniel: On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting. In: Advances in Photometric 3D-Reconstruction. Springer International Publishing, 2020 mehr… BibTeX Volltext ( DOI )
Chiotellis, Ioannis; Cremers, Daniel: Neural Online Graph Exploration. , 2020 mehr… BibTeX Volltext ( DOI )
Demmel, Nikolaus; Gao, Maolin; Laude, Emanuel; Wu, Tao; Cremers, Daniel: Distributed Photometric Bundle Adjustment. 2020 International Conference on 3D Vision (3DV), IEEE, 2020 mehr… BibTeX Volltext ( DOI )
Du, Juan; Wang, Rui; Cremers, Daniel: DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization. , 2020 mehr… BibTeX Volltext ( DOI )
Eisenberger, Marvin; Cremers, Daniel: Hamiltonian Dynamics for Real-World Shape Interpolation. , 2020 mehr… BibTeX Volltext ( DOI )
Eisenberger, Marvin; Toker, Aysim; Leal-Taixé, Laura; Cremers, Daniel: Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. , 2020 mehr… BibTeX Volltext ( DOI )
Fabbro, Giorgio; Golkov, Vladimir; Kemp, Thomas; Cremers, Daniel: Speech Synthesis and Control Using Differentiable DSP. , 2020 mehr… BibTeX Volltext ( DOI )
Frerix, Thomas; Nießner, Matthias; Cremers, Daniel: Homogeneous Linear Inequality Constraints for Neural Network Activations. arXiv, 2020 mehr… BibTeX Volltext ( DOI )
Gao, Maolin; Lähner, Zorah; Thunberg, Johan; Cremers, Daniel; Bernard, Florian: Isometric Multi-Shape Matching. , 2020 mehr… BibTeX Volltext ( DOI )
Golkov, Vladimir; Becker, Alexander; Plop, Daniel T.; Čuturilo, Daniel; Davoudi, Neda; Mendenhall, Jeffrey; Moretti, Rocco; Meiler, Jens; Cremers, Daniel: Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions. , 2020 mehr… BibTeX Volltext ( DOI )
Holzschuh, Benjamin; Lahner, Zorah; Cremers, Daniel: Simulated Annealing for 3D Shape Correspondence. 2020 International Conference on 3D Vision (3DV), IEEE, 2020 mehr… BibTeX Volltext ( DOI )
Koestler, L.; Yang, N.; Wang, R.; Cremers, D.: Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels. , 2020 mehr… BibTeX Volltext ( DOI )
Laude, Emanuel; Ochs, Peter; Cremers, Daniel: Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity. arXiv, 2020 mehr… BibTeX Volltext ( DOI )
Liu, Jiayu; Chiotellis, Ioannis; Triebel, Rudolph; Cremers, Daniel: Effective Version Space Reduction for Convolutional Neural Networks. , 2020 mehr… BibTeX Volltext ( DOI )
Maier, Robert; Cremers, Daniel: RGB-D Vision. In: Encyclopedia of Robotics. Springer Berlin Heidelberg, 2020 mehr… BibTeX Volltext ( DOI )
Naeyaert, Maarten; Aelterman, Jan; Van Audekerke, Johan; Golkov, Vladimir; Cremers, Daniel; Pižurica, Aleksandra; Sijbers, Jan; Verhoye, Marleen: Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing. Magnetic Resonance in Medicine 85 (3), 2020, 1397-1413 mehr… BibTeX Volltext ( DOI )
Sommer, Christiane; Sun, Yumin; Bylow, Erik; Cremers, Daniel: PrimiTect: Fast Continuous Hough Voting for Primitive Detection. 2020 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2020 mehr… BibTeX Volltext ( DOI )
Sommer, Christiane; Sun, Yumin; Guibas, Leonidas; Cremers, Daniel; Birdal, Tolga: From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. IEEE Robotics and Automation Letters 5 (2), 2020, 1764-1771 mehr… BibTeX Volltext ( DOI )
Sommer, Christiane; Usenko, Vladyslav; Schubert, David; Demmel, Nikolaus; Cremers, Daniel: Efficient Derivative Computation for Cumulative B-Splines on Lie Groups. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2020 mehr… BibTeX Volltext ( DOI )
Usenko, Vladyslav; Demmel, Nikolaus; Schubert, David; Stuckler, Jorg; Cremers, Daniel: Visual-Inertial Mapping With Non-Linear Factor Recovery. IEEE Robotics and Automation Letters 5 (2), 2020, 422-429 mehr… BibTeX Volltext ( DOI )
Usenko, Vladyslav; von Stumberg, Lukas; Stückler, Jörg; Cremers, Daniel: TUM Flyers: Vision—Based MAV Navigation for Systematic Inspection of Structures. In: Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users. Springer International Publishing, 2020 mehr… BibTeX Volltext ( DOI )
Wang, Rui; Yang, Nan; Stueckler, Joerg; Cremers, Daniel: DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation. arXiv, 2020 mehr… BibTeX Volltext ( DOI )
Weiss, Sebastian; Maier, Robert; Cremers, Daniel; Westermann, Rudiger; Thuerey, Nils: Correspondence-Free Material Reconstruction using Sparse Surface Constraints. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2020 mehr… BibTeX Volltext ( DOI )
Wenzel, Patrick; Wang, Rui; Yang, Nan; Cheng, Qing; Khan, Qadeer; von Stumberg, Lukas; Zeller, Niclas; Cremers, Daniel: 4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving. , 2020 mehr… BibTeX Volltext ( DOI )
Yang, Nan; von Stumberg, Lukas; Wang, Rui; Cremers, Daniel: D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. , 2020 mehr… BibTeX Volltext ( DOI )
Ye, Zhenzhang; Möllenhoff, Thomas; Wu, Tao; Cremers, Daniel: Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning. , 2020 mehr… BibTeX Volltext ( DOI )
Yenamandra, Tarun; Tewari, Ayush; Bernard, Florian; Seidel, Hans-Peter; Elgharib, Mohamed; Cremers, Daniel; Theobalt, Christian: i3DMM: Deep Implicit 3D Morphable Model of Human Heads. , 2020 mehr… BibTeX Volltext ( DOI )
von Stumberg, Lukas; Wenzel, Patrick; Yang, Nan; Cremers, Daniel: LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization. , 2020 mehr… BibTeX Volltext ( DOI )

2019

Bréchet, Pierre; Wu, Tao; Möllenhoff, Thomas; Cremers, Daniel: Informative GANs via Structured Regularization of Optimal Transport. , 2019 mehr… BibTeX Volltext ( DOI )
Della Libera, Luca; Golkov, Vladimir; Zhu, Yue; Mielke, Arman; Cremers, Daniel: Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods. , 2019 mehr… BibTeX Volltext ( DOI )
Dyke, R. M.; Stride, C.; Lai, Y.-K.; Rosin, P. L.; Aubry, M.; Boyarski, A.; Bronstein, A. M.; Bronstein, M. M.; Cremers, D.; Fisher, M.; Groueix, T.; Guo, D.; Kim, V. G.; Kimmel, R.; Lähner, Z.; Li, K.; Litany, O.; Remez, T.; Rodolà, E.; Russell, B. C.; Sahillioglu, Y.; Slossberg, R.; Tam, G. K. L.; Vestner, M.; Wu, Z.; Yang, J.: Shape Correspondence with Isometric and Non-Isometric Deformations. Eurographics Workshop on 3D Object Retrieval, 2019 mehr… BibTeX Volltext ( DOI )
Eisenberger, Marvin; Lähner, Zorah; Cremers, Daniel: Smooth Shells: Multi-Scale Shape Registration with Functional Maps. , 2019 mehr… BibTeX Volltext ( DOI )
Haefner, Bjoern; Peng, Songyou; Verma, Alok; Quéau, Yvain; Cremers, Daniel: Photometric Depth Super-Resolution. arXiv, 2019 mehr… BibTeX Volltext ( DOI )
Haefner, Bjoern; Queau, Yvain; Cremers, Daniel: Photometric Segmentation: Simultaneous Photometric Stereo and Masking. 2019 International Conference on 3D Vision (3DV), IEEE, 2019 mehr… BibTeX Volltext ( DOI )
Haefner, Bjoern; Ye, Zhenzhang; Gao, Maolin; Wu, Tao; Quéau, Yvain; Cremers, Daniel: Variational Uncalibrated Photometric Stereo under General Lighting. arXiv, 2019 mehr… BibTeX Volltext ( DOI )
Haeusser, Philip; Plapp, Johannes; Golkov, Vladimir; Aljalbout, Elie; Cremers, Daniel: Associative Deep Clustering: Training a Classification Network with No Labels. In: Lecture Notes in Computer Science. Springer International Publishing, 2019 mehr… BibTeX Volltext ( DOI )
Jung, Eunah; Yang, Nan; Cremers, Daniel: Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light. , 2019 mehr… BibTeX Volltext ( DOI )
Laude, Emanuel; Wu, Tao; Cremers, Daniel: Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. , 2019 mehr… BibTeX Volltext ( DOI )
Maninis, K.-K.; Caelles, S.; Chen, Y.; Pont-Tuset, J.; Leal-Taixe, L.; Cremers, D.; Van Gool, L.: Video Object Segmentation without Temporal Information. IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (6), 2019, 1515-1530 mehr… BibTeX Volltext ( DOI )
Moeller, Michael; Möllenhoff, Thomas; Cremers, Daniel: Controlling Neural Networks via Energy Dissipation. , 2019 mehr… BibTeX Volltext ( DOI )
Möllenhoff, Thomas; Cremers, Daniel: Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus. , 2019 mehr… BibTeX Volltext ( DOI )
Möllenhoff, Thomas; Cremers, Daniel: Flat Metric Minimization with Applications in Generative Modeling. , 2019 mehr… BibTeX Volltext ( DOI )
Pasa, F.; Golkov, V.; Pfeiffer, F.; Cremers, D.; Pfeiffer, D.: Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization. Scientific Reports 9 (1), 2019 mehr… BibTeX Volltext ( DOI )
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixe: CVPR19 Tracking and Detection Challenge: How crowded can it get? 2019 mehr… BibTeX
Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé: Towards Generalizing Sensorimotor Control Across Weather Conditions. 2019 mehr… BibTeX
Roy, Susmita; Grünwald, Alexander T. D.; Alves-Pinto, Ana; Maier, Robert; Cremers, Daniel; Pfeiffer, Daniela; Lampe, Renée: A Noninvasive 3D Body Scanner and Software Tool towards Analysis of Scoliosis. BioMed Research International 2019, 2019, 1-15 mehr… BibTeX Volltext ( DOI )
Sang, Lu; Haefner, Bjoern; Cremers, Daniel: Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. , 2019 mehr… BibTeX Volltext ( DOI )
Schubert, David; Demmel, Nikolaus; Stumberg, Lukas von; Usenko, Vladyslav; Cremers, Daniel: Rolling-Shutter Modelling for Direct Visual-Inertial Odometry. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2019 mehr… BibTeX Volltext ( DOI )
Schuchardt, Jan; Golkov, Vladimir; Cremers, Daniel: Learning to Evolve. , 2019 mehr… BibTeX Volltext ( DOI )
Swazinna, P.; Golkov, V.; Lipp, I.; Sgarlata, E.; Tomassini, V.; Jones, D. K.; Cremers, D.: Negative-Unlabeled Learning for Diffusion MRI. International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2019 mehr… BibTeX
Wang, Huiqing; Ma, Yue; Dong, Chunlin; Li, Chun; Wang, Jingjing; Liu, Dan: CL-PMI: A Precursor MicroRNA Identification Method Based on Convolutional and Long Short-Term Memory Networks. Frontiers in Genetics 10, 2019 mehr… BibTeX Volltext ( DOI )
Weiss, Sebastian; Maier, Robert; Westermann, Rüdiger; Cremers, Daniel; Thuerey, Nils: Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction. , 2019 mehr… BibTeX Volltext ( DOI )
von Stumberg, Lukas; Usenko, Vladyslav; Cremers, Daniel: A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry. In: Multimodal Scene Understanding. Elsevier, 2019 mehr… BibTeX Volltext ( DOI )
von Stumberg, Lukas; Wenzel, Patrick; Khan, Qadeer; Cremers, Daniel: GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization. , 2019 mehr… BibTeX Volltext ( DOI )

2018

Aljalbout, Elie; Golkov, Vladimir; Siddiqui, Yawar; Strobel, Maximilian; Cremers, Daniel: Clustering with Deep Learning: Taxonomy and New Methods. , 2018 mehr… BibTeX Volltext ( DOI )
Bringmann, Bjoern; Cremers, Daniel; Krahmer, Felix; Moeller, Michael: The homotopy method revisited: Computing solution paths of L1-regularized problems. Mathematics of Computation 87 (313), 2018, 2343-2364 mehr… BibTeX Volltext ( DOI )
Chiotellis, Ioannis; Zimmermann, Franziska; Cremers, Daniel; Triebel, Rudolph: Incremental Semi-Supervised Learning from Streams for Object Classification. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2018 mehr… BibTeX Volltext ( DOI )
Cremers, Daniel; Leal-Taixé, Laura; Vidal, René: Deep Learning for Computer Vision (Dagstuhl Seminar 17391). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2018 mehr… BibTeX Volltext ( DOI )
Do, Binh Thanh; Golkov, Vladimir; Gurel, Goktug Erce; Cremers, Daniel: Precursor microRNA Identification Using Deep Convolutional Neural Networks. bioRxiv, 2018 mehr… BibTeX Volltext ( DOI )
Domokos, Csaba; Schmidt, Frank R.; Cremers, Daniel: MRF Optimization with Separable Convex Prior on Partially Ordered Labels. In: Computer Vision – ECCV 2018. Springer International Publishing, 2018 mehr… BibTeX Volltext ( DOI )
Eisenberger, Marvin; Lähner, Zorah; Cremers, Daniel: Divergence-Free Shape Interpolation and Correspondence. , 2018 mehr… BibTeX Volltext ( DOI )
Engel, J.; Koltun, V.; Cremers, D.: Direct Sparse Odometry. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 mehr… BibTeX
Estellers, Virginia; Schmidt, Frank; Cremers, Daniel: Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis. 2018 International Conference on 3D Vision (3DV), IEEE, 2018 mehr… BibTeX Volltext ( DOI )
Gao, Xiang; Wang, Rui; Demmel, Nikolaus; Cremers, Daniel: LDSO: Direct Sparse Odometry with Loop Closure. , 2018 mehr… BibTeX Volltext ( DOI )
Golkov, V.; Swazinna, P.; Schmitt, M. M.; Khan, Q. A.; Tax, C. M. W.; Serahlazau, M.; Pasa, F.; Pfeiffer, F.; Biessels, G. J.; Leemans, A.; Cremers, D.: q-Space Deep Learning for Alzheimer's Disease Diagnosis: Global Prediction and Weakly-Supervised Localization. International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018 mehr… BibTeX
Golkov, V.; Vasilev, A.; Pasa, F.; Lipp, I.; Boubaker, W.; Sgarlata, E.; Pfeiffer, F.; Tomassini, V.; Jones, D. K.; Cremers, D.: q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis. International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018 mehr… BibTeX
Haefner, Bjoern; Queau, Yvain; Mollenhoff, Thomas; Cremers, Daniel: Fight Ill-Posedness with Ill-Posedness: Single-shot Variational Depth Super-Resolution from Shading. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2018 mehr… BibTeX Volltext ( DOI )
Laehner, Zorah; Cremers, Daniel; Tung, Tony: DeepWrinkles: Accurate and Realistic Clothing Modeling. , 2018 mehr… BibTeX Volltext ( DOI )
Laude, Emanuel; Lange, Jan-Hendrik; Schupfer, Jonas; Domokos, Csaba; Leal-Taixe, Laura; Schmidt, Frank R.; Andres, Bjoern; Cremers, Daniel: Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2018 mehr… BibTeX Volltext ( DOI )
Ma, Lingni; Stückler, Jörg; Wu, Tao; Cremers, Daniel: Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform. , 2018 mehr… BibTeX Volltext ( DOI )
Matsuki, Hidenobu; von Stumberg, Lukas; Usenko, Vladyslav; Stückler, Jörg; Cremers, Daniel: Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras. arXiv, 2018 mehr… BibTeX Volltext ( DOI )
Mayer, Nikolaus; Ilg, Eddy; Fischer, Philipp; Hazirbas, Caner; Cremers, Daniel; Dosovitskiy, Alexey; Brox, Thomas: What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? arXiv, 2018 mehr… BibTeX Volltext ( DOI )
Mengyu Chu, You Xie, Jonas Mayer, Laura Leal-Taixé, Nils Thuerey: Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation. 2018 mehr… BibTeX
Moeller, Michael; Cremers, Daniel: Image Denoising—Old and New. In: Denoising of Photographic Images and Video. Springer International Publishing, 2018 mehr… BibTeX Volltext ( DOI )
Möllenhoff, Thomas; Ye, Zhenzhang; Wu, Tao; Cremers, Daniel: Combinatorial Preconditioners for Proximal Algorithms on Graphs. , 2018 mehr… BibTeX Volltext ( DOI )
Quéau, Yvain; Mélou, Jean; Castan, Fabien; Cremers, Daniel; Durou, Jean-Denis: A Variational Approach to Shape-from-Shading Under Natural Illumination. In: Lecture Notes in Computer Science. Springer International Publishing, 2018 mehr… BibTeX Volltext ( DOI )
S. Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixé, Ian Reid: Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. 2018 mehr… BibTeX
Schubert, David; Demmel, Nikolaus; Usenko, Vladyslav; Stückler, Jörg; Cremers, Daniel: Direct Sparse Odometry with Rolling Shutter. arXiv, 2018 mehr… BibTeX Volltext ( DOI )
Schubert, David; Goll, Thore; Demmel, Nikolaus; Usenko, Vladyslav; Stückler, Jörg; Cremers, Daniel: The TUM VI Benchmark for Evaluating Visual-Inertial Odometry. arXiv, 2018 mehr… BibTeX Volltext ( DOI )
Scona, Raluca; Jaimez, Mariano; Petillot, Yvan R.; Fallon, Maurice; Cremers, Daniel: StaticFusion: Background Reconstruction for Dense RGB-D SLAM in Dynamic Environments. 2018 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2018 mehr… BibTeX Volltext ( DOI )
Sommer, Christiane; Cremers, Daniel: Joint Representation of Primitive and Non-primitive Objects for 3D Vision. 2018 International Conference on 3D Vision (3DV), IEEE, 2018 mehr… BibTeX Volltext ( DOI )
Tjaden, Henning; Schwanecke, Ulrich; Schömer, Elmar; Cremers, Daniel: A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking. arXiv, 2018 mehr… BibTeX Volltext ( DOI )
Usenko, Vladyslav; Demmel, Nikolaus; Cremers, Daniel: The Double Sphere Camera Model. arXiv, 2018 mehr… BibTeX Volltext ( DOI )
Vasilev, Aleksei; Golkov, Vladimir; Meissner, Marc; Lipp, Ilona; Sgarlata, Eleonora; Tomassini, Valentina; Jones, Derek K.; Cremers, Daniel: q-Space Novelty Detection with Variational Autoencoders. , 2018 mehr… BibTeX Volltext ( DOI )
Wenzel, Patrick; Khan, Qadeer; Cremers, Daniel; Leal-Taixé, Laura: Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs. , 2018 mehr… BibTeX Volltext ( DOI )
Yang, Nan; Wang, Rui; Gao, Xiang; Cremers, Daniel: Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias, and Rolling Shutter Effect. IEEE Robotics and Automation Letters 3 (4), 2018, 2878-2885 mehr… BibTeX Volltext ( DOI )
Yang, Nan; Wang, Rui; Stückler, Jörg; Cremers, Daniel: Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. , 2018 mehr… BibTeX Volltext ( DOI )
von Stumberg, Lukas; Usenko, Vladyslav; Cremers, Daniel: Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization. arXiv, 2018 mehr… BibTeX Volltext ( DOI )

2017

Bender, Daniel; Koch, Wolfgang; Cremers, Daniel: Map-based drone homing using shortcuts. 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), IEEE, 2017 mehr… BibTeX Volltext ( DOI )
Benning, Martin; Möller, Michael; Nossek, Raz Z.; Burger, Martin; Cremers, Daniel; Gilboa, Guy; Schönlieb, Carola-Bibiane: Nonlinear Spectral Image Fusion. , 2017 mehr… BibTeX Volltext ( DOI )
Bergmann, Paul; Wang, Rui; Cremers, Daniel: Online Photometric Calibration for Auto Exposure Video for Realtime Visual Odometry and SLAM. , 2017 mehr… BibTeX Volltext ( DOI )
Caelles, S.; Maninis, K. -K.; Pont-Tuset, J.; Leal-Taixe, L.; Cremers, D.; Gool, L. Van: One-Shot Video Object Segmentation. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2017 mehr… BibTeX Volltext ( DOI )
Cremers, Daniel: Computer Vision für 3-D-Rekonstruktion. Informatik-Spektrum 40 (2), 2017, 205-209 mehr… BibTeX Volltext ( DOI )
Estellers, V.; Schmidt, F. R.; Cremers, D.: Compression for Smooth Shape Analysis. , 2017 mehr… BibTeX Volltext ( DOI )
Frerix, Thomas; Möllenhoff, Thomas; Moeller, Michael; Cremers, Daniel: Proximal Backpropagation. , 2017 mehr… BibTeX Volltext ( DOI )
Golkov, Vladimir; Skwark, Marcin J.; Mirchev, Atanas; Dikov, Georgi; Geanes, Alexander R.; Mendenhall, Jeffrey; Meiler, Jens; Cremers, Daniel: 3D Deep Learning for Biological Function Prediction from Physical Fields. , 2017 mehr… BibTeX Volltext ( DOI )
Haeusser, Philip; Frerix, Thomas; Mordvintsev, Alexander; Cremers, Daniel: Associative Domain Adaptation. , 2017 mehr… BibTeX Volltext ( DOI )
Hazirbas, Caner; Soyer, Sebastian Georg; Staab, Maximilian Christian; Leal-Taixé, Laura; Cremers, Daniel: Deep Depth From Focus. , 2017 mehr… BibTeX Volltext ( DOI )
Henschel, Roberto; Leal-Taixé, Laura; Cremers, Daniel; Rosenhahn, Bodo: Fusion of Head and Full-Body Detectors for Multi-Object Tracking. , 2017 mehr… BibTeX Volltext ( DOI )
Häusser, Philip; Mordvintsev, Alexander; Cremers, Daniel: Learning by Association - A versatile semi-supervised training method for neural networks. , 2017 mehr… BibTeX Volltext ( DOI )
Jaimez, M.; Cashman, T. J.; Fitzgibbon, A.; Gonzalez-Jimenez, J.; Cremers, D.: An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Subdivision Surface Models. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 mehr… BibTeX
Jaimez, Mariano; Cashman, Thomas J.; Fitzgibbon, Andrew; Gonzalez-Jimenez, Javier; Cremers, Daniel: An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Surface Models. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2017 mehr… BibTeX Volltext ( DOI )
Jaimez, Mariano; Kerl, Christian; Gonzalez-Jimenez, Javier; Cremers, Daniel: Fast odometry and scene flow from RGB-D cameras based on geometric clustering. 2017 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2017 mehr… BibTeX Volltext ( DOI )
Kee, Youngwook; Lee, Yegang; Souiai, Mohamed; Cremers, Daniel; Kim, Junmo: Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization. SIAM Journal on Imaging Sciences 10 (4), 2017, 1845-1877 mehr… BibTeX Volltext ( DOI )
Krieg, Michael; Stuehmer, Jan; Cueva, Juan G.; Fetter, Richard; Spilker, Kerri; Cremers, Daniel; Shen, Kang; Dunn, Alex R.; Goodman, Miriam B.: Tau Like Proteins Reduce Torque Generation in Microtubule Bundles. Biophysical Journal 112 (3), 2017, 29a-30a mehr… BibTeX Volltext ( DOI )
Krieg, Michael; Stühmer, Jan; Cueva, Juan G; Fetter, Richard; Spilker, Kerri; Cremers, Daniel; Shen, Kang; Dunn, Alexander R; Goodman, Miriam B: Genetic defects in β-spectrin and tau sensitize C. elegans axons to movement-induced damage via torque-tension coupling. eLife 6, 2017 mehr… BibTeX Volltext ( DOI )
Kukačka, Jan; Golkov, Vladimir; Cremers, Daniel: Regularization for Deep Learning: A Taxonomy. , 2017 mehr… BibTeX Volltext ( DOI )
Kuschk, Georg; Bozic, Aljaz; Cremers, Daniel: Real-time variational stereo reconstruction with applications to large-scale dense SLAM. 2017 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2017 mehr… BibTeX Volltext ( DOI )
Kuschk, Georg; d'Angelo, Pablo; Gaudrie, David; Reinartz, Peter; Cremers, Daniel: Spatially Regularized Fusion of Multiresolution Digital Surface Models. IEEE Transactions on Geoscience and Remote Sensing 55 (3), 2017, 1477-1488 mehr… BibTeX Volltext ( DOI )
Laude, Emanuel; Wu, Tao; Cremers, Daniel: A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization. , 2017 mehr… BibTeX Volltext ( DOI )
Lähner, Zorah; Vestner, Matthias; Boyarski, Amit; Litany, Or; Slossberg, Ron; Remez, Tal; Rodolà, Emanuele; Bronstein, Alex; Bronstein, Michael; Kimmel, Ron; Cremers, Daniel: Efficient Deformable Shape Correspondence via Kernel Matching. , 2017 mehr… BibTeX Volltext ( DOI )
Ma, Lingni; Stückler, Jörg; Kerl, Christian; Cremers, Daniel: Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras. , 2017 mehr… BibTeX Volltext ( DOI )
Maier, Robert; Kim, Kihwan; Cremers, Daniel; Kautz, Jan; Nießner, Matthias: Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting. , 2017 mehr… BibTeX Volltext ( DOI )
Maier, Robert; Schaller, Raphael; Cremers, Daniel: Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction. , 2017 mehr… BibTeX Volltext ( DOI )
Meinhardt, Tim; Moeller, Michael; Hazirbas, Caner; Cremers, Daniel: Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. arXiv, 2017 mehr… BibTeX Volltext ( DOI )
Mélou, Jean; Quéau, Yvain; Durou, Jean-Denis; Castan, Fabien; Cremers, Daniel: Variational Reflectance Estimation from Multi-view Images. , 2017 mehr… BibTeX Volltext ( DOI )
Mélou, Jean; Quéau, Yvain; Durou, Jean-Denis; Castan, Fabien; Cremers, Daniel: Beyond Multi-view Stereo: Shading-Reflectance Decomposition. In: Lecture Notes in Computer Science. Springer International Publishing, 2017 mehr… BibTeX Volltext ( DOI )
Peng, Songyou; Haefner, Bjoern; Quéau, Yvain; Cremers, Daniel: Depth Super-Resolution Meets Uncalibrated Photometric Stereo. , 2017 mehr… BibTeX Volltext ( DOI )
Queau, Yvain; Wu, Tao; Lauze, Francois; Durou, Jean-Denis; Cremers, Daniel: A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2017 mehr… BibTeX Volltext ( DOI )
Quéau, Yvain; Durix, Bastien; Wu, Tao; Cremers, Daniel; Lauze, François; Durou, Jean-Denis: LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution. Journal of Mathematical Imaging and Vision 60 (3), 2017, 313-340 mehr… BibTeX Volltext ( DOI )
Quéau, Yvain; Mélou, Jean; Durou, Jean-Denis; Cremers, Daniel: Dense Multi-view 3D-reconstruction Without Dense Correspondences. , 2017 mehr… BibTeX Volltext ( DOI )
Quéau, Yvain; Pizenberg, Mathieu; Durou, Jean-Denis; Cremers, Daniel: Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing. SPIE Proceedings, SPIE, 2017 mehr… BibTeX Volltext ( DOI )
Quéau, Yvain; Pizenberg, Matthieu; Cremers, Daniel; Durou, Jean-Denis: Stéréophotométrie microscopique sans démosaïquage. 26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), 2017 mehr… BibTeX
Quéau, Yvain; Wu, Tao; Cremers, Daniel: Semi-calibrated Near-Light Photometric Stereo. In: Lecture Notes in Computer Science. Springer International Publishing, 2017 mehr… BibTeX Volltext ( DOI )
Rodolà, E.; Moeller, M.; Cremers, D.: Regularized Pointwise Map Recovery from Functional Correspondence. Computer Graphics Forum 36 (8), 2017, 700-711 mehr… BibTeX Volltext ( DOI )
Slavcheva, Miroslava; Baust, Maximilian; Cremers, Daniel; Ilic, Slobodan: KillingFusion: Non-rigid 3D Reconstruction without Correspondences. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2017 mehr… BibTeX Volltext ( DOI )
Usenko, Vladyslav; von Stumberg, Lukas; Pangercic, Andrej; Cremers, Daniel: Real-Time Trajectory Replanning for MAVs using Uniform B-splines and a 3D Circular Buffer. arXiv, 2017 mehr… BibTeX Volltext ( DOI )
Vestner, Matthias; Litman, Roee; Rodolà, Emanuele; Bronstein, Alex; Cremers, Daniel: Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space. , 2017 mehr… BibTeX Volltext ( DOI )
Walch, F.; Hazirbas, C.; Leal-Taixe, L.; Sattler, T.; Hilsenbeck, S.; Cremers, D.: Image-Based Localization Using LSTMs for Structured Feature Correlation. 2017 IEEE International Conference on Computer Vision (ICCV), IEEE, 2017 mehr… BibTeX Volltext ( DOI )
Wang, Rui; Schwörer, Martin; Cremers, Daniel: Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras. , 2017 mehr… BibTeX Volltext ( DOI )

2016

Bernard, Florian; Schmidt, Frank R.; Thunberg, Johan; Cremers, Daniel: A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. arXiv, 2016 mehr… BibTeX Volltext ( DOI )
Boscaini, D.; Masci, J.; Rodolà, E.; Bronstein, M. M.; Cremers, D.: Anisotropic Diffusion Descriptors. Computer Graphics Forum 35 (2), 2016, 431-441 mehr… BibTeX Volltext ( DOI )
Bringmann, Björn; Cremers, Daniel; Krahmer, Felix; Möller, Michael: The Homotopy Method Revisited: Computing Solution Paths of $\ell_1$-Regularized Problems. , 2016 mehr… BibTeX Volltext ( DOI )
Cosmo, L.; Rodola, E.; Bronstein, M. M.; Torsello, A.; Cremers, D.; Sahillioglu, Y.: SHREC’16: Partial Matching of Deformable Shapes. Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR), 2016 mehr… BibTeX
Cosmo, L.; Rodolà, E.; Albarelli, A.; Mémoli, F.; Cremers, D.: Consistent Partial Matching of Shape Collections via Sparse Modeling. Computer Graphics Forum 36 (1), 2016, 209-221 mehr… BibTeX Volltext ( DOI )
Cosmo, Luca; Albarelli, Andrea; Bergamasco, Filippo; Torsello, Andrea; Rodola, Emanuele; Cremers, Daniel: A game-theoretical approach for joint matching of multiple feature throughout unordered images. 2016 23rd International Conference on Pattern Recognition (ICPR), IEEE, 2016 mehr… BibTeX Volltext ( DOI )
Dzitsiuk, Maksym; Sturm, Jürgen; Maier, Robert; Ma, Lingni; Cremers, Daniel: De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors. , 2016 mehr… BibTeX Volltext ( DOI )
Geiping, Jonas; Dirks, Hendrik; Cremers, Daniel; Moeller, Michael: Multiframe Motion Coupling for Video Super Resolution. , 2016 mehr… BibTeX Volltext ( DOI )
Litany, O.; Rodolà, E.; Bronstein, A. M.; Bronstein, M. M.; Cremers, D.: Non-Rigid Puzzles. Computer Graphics Forum 35 (5), 2016, 135-143 mehr… BibTeX Volltext ( DOI )
Lähner, Z.; Rodola, E.; Bronstein, M. M.; Cremers, D.; Burghard, O.; Cosmo, L.; Dieckmann, A.; Klein, R.; Sahillioglu, Y.: SHREC’16: Matching of Deformable Shapes with Topological Noise. Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR), 2016 mehr… BibTeX
Lähner, Zorah; Rodolà, Emanuele; Bronstein, Michael M.; Cremers, Daniel; Burghard, Oliver; Cosmo, Luca; Dieckmann, Alexander; Klein, Reinhard; Sahillioğlu, Yusuf: Matching of Deformable Shapes with Topological Noise. Eurographics Workshop on 3D Object Retrieval, 2016 mehr… BibTeX Volltext ( DOI )
Lähner, Zorah; Rodolà, Emanuele; Schmidt, Frank R.; Bronstein, Michael M.; Cremers, Daniel: Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. , 2016 mehr… BibTeX Volltext ( DOI )
Möllenhoff, Thomas; Cremers, Daniel: Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems. , 2016 mehr… BibTeX Volltext ( DOI )
Rodolà, E.; Cosmo, L.; Bronstein, M. M.; Torsello, A.; Cremers, D.: Partial Functional Correspondence. Computer Graphics Forum 36 (1), 2016, 222-236 mehr… BibTeX Volltext ( DOI )
Vestner, Matthias; Litman, Roee; Bronstein, Alex; Rodolà, Emanuele; Cremers, Daniel: Bayesian Inference of Bijective Non-Rigid Shape Correspondence. , 2016 mehr… BibTeX Volltext ( DOI )
Vestner, Matthias; Rodolà, Emanuele; Windheuser, Thomas; Bulò, Samuel Rota; Cremers, Daniel: Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence. In: Mathematics and Visualization. Springer International Publishing, 2016 mehr… BibTeX Volltext ( DOI )
von Stumberg, Lukas; Usenko, Vladyslav; Engel, Jakob; Stückler, Jörg; Cremers, Daniel: From Monocular SLAM to Autonomous Drone Exploration. arXiv, 2016 mehr… BibTeX Volltext ( DOI )

2015

Bergamasco, F.; Albarelli, A.; Cosmo, L.; Torsello, A.; Rodola, E.; Cremers, D.: Adopting an Unconstrained Ray Model in Light-field Cameras for 3D Shape Reconstruction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 mehr… BibTeX
Mecca, R.; Rodolà, E.; Cremers, D.: Realistic photometric stereo using partial differential irradiance equation ratios. Computers & Graphics 51, 2015, 8-16 mehr… BibTeX Volltext ( DOI )
Mecca, Roberto; Rodolà, Emanuele; Cremers, Daniel: Analysis of surface parametrizations for modern photometric stereo modeling. Twelfth International Conference on Quality Control by Artificial Vision 2015, SPIE, 2015 mehr… BibTeX Volltext ( DOI )
Rodolà, Emanuele; Albarelli, Andrea; Cremers, Daniel; Torsello, Andrea: A simple and effective relevance-based point sampling for 3D shapes. Pattern Recognition Letters 59, 2015, 41-47 mehr… BibTeX Volltext ( DOI )
Rodolà, Emanuele; Cosmo, Luca; Bronstein, Michael M.; Torsello, Andrea; Cremers, Daniel: Partial Functional Correspondence. , 2015 mehr… BibTeX Volltext ( DOI )
Rodolà, Emanuele; Moeller, Michael; Cremers, Daniel: Point-wise Map Recovery and Refinement from Functional Correspondence. , 2015 mehr… BibTeX Volltext ( DOI )