Daniel Cremers

Scientific Report on TUM-IAS Fellowship 2022

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 …

Scientific Report on TUM-IAS Fellowship 2020

The activities of our Focus Group are primarily centered on the interplay between geometry, machine learning, and computer vision. Analysis of geometric objects has been a topic of computer vision and pattern recognition since the inception of the field, and geometric principles of symmetry and invariance underpin the success of modern deep learning methods. 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.

Publications as TUM-IAS Fellow

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 more… BibTeX Full text ( DOI )
  • Chui, Jason; Klenk, Simon; Cremers, Daniel: Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization. , 2021 more… BibTeX Full text ( DOI )
  • Demmel, Nikolaus; Schubert, David; Sommer, Christiane; Cremers, Daniel; Usenko, Vladyslav: Square Root Marginalization for Sliding-Window Bundle Adjustment. , 2021 more… BibTeX Full text ( DOI )
  • Demmel, Nikolaus; Sommer, Christiane; Cremers, Daniel; Usenko, Vladyslav: Square Root Bundle Adjustment for Large-Scale Reconstruction. arXiv, 2021 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Gladkova, Mariia; Wang, Rui; Zeller, Niclas; Cremers, Daniel: Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry. , 2021 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Khan, Qadeer; Wenzel, Patrick; Cremers, Daniel: Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry. , 2021 more… BibTeX Full text ( DOI )
  • Klenk, Simon; Chui, Jason; Demmel, Nikolaus; Cremers, Daniel: TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset. , 2021 more… BibTeX Full text ( DOI )
  • Koestler, Lukas; Yang, Nan; Zeller, Niclas; Cremers, Daniel: TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo. , 2021 more… BibTeX Full text ( DOI )
  • Mozes, Maximilian; Schmitt, Martin; Golkov, Vladimir; Schütze, Hinrich; Cremers, Daniel: Scene Graph Generation for Better Image Captioning? , 2021 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Müller, Philip; Golkov, Vladimir; Tomassini, Valentina; Cremers, Daniel: Rotation-Equivariant Deep Learning for Diffusion MRI. , 2021 more… BibTeX Full text ( 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 more… BibTeX
  • Tomani, Christian; Cremers, Daniel; Buettner, Florian: Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. , 2021 more… BibTeX Full text ( DOI )
  • Tomani, Christian; Gruber, Sebastian; Erdem, Muhammed Ebrar; Cremers, Daniel; Buettner, Florian: Post-hoc Uncertainty Calibration for Domain Drift Scenarios. arXiv, 2021 more… BibTeX Full text ( DOI )
  • Weber, S; Demmel, N; Cremers, D: Multidirectional Conjugate Gradients for Scalable Bundle Adjustment. German Conference on Pattern Recognition (GCPR), 2021 more… BibTeX
  • Wenzel, Patrick; Schön, Torsten; Leal-Taixé, Laura; Cremers, Daniel: Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. , 2021 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )

2020

  • Aygün, Mehmet; Lähner, Zorah; Cremers, Daniel: Unsupervised Dense Shape Correspondence using Heat Kernels. , 2020 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Chiotellis, Ioannis; Cremers, Daniel: Neural Online Graph Exploration. , 2020 more… BibTeX Full text ( DOI )
  • Demmel, Nikolaus; Gao, Maolin; Laude, Emanuel; Wu, Tao; Cremers, Daniel: Distributed Photometric Bundle Adjustment. 2020 International Conference on 3D Vision (3DV), IEEE, 2020 more… BibTeX Full text ( DOI )
  • Du, Juan; Wang, Rui; Cremers, Daniel: DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization. , 2020 more… BibTeX Full text ( DOI )
  • Eisenberger, Marvin; Cremers, Daniel: Hamiltonian Dynamics for Real-World Shape Interpolation. , 2020 more… BibTeX Full text ( DOI )
  • Eisenberger, Marvin; Toker, Aysim; Leal-Taixé, Laura; Cremers, Daniel: Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. , 2020 more… BibTeX Full text ( DOI )
  • Fabbro, Giorgio; Golkov, Vladimir; Kemp, Thomas; Cremers, Daniel: Speech Synthesis and Control Using Differentiable DSP. , 2020 more… BibTeX Full text ( DOI )
  • Frerix, Thomas; Nießner, Matthias; Cremers, Daniel: Homogeneous Linear Inequality Constraints for Neural Network Activations. arXiv, 2020 more… BibTeX Full text ( DOI )
  • Gao, Maolin; Lähner, Zorah; Thunberg, Johan; Cremers, Daniel; Bernard, Florian: Isometric Multi-Shape Matching. , 2020 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Holzschuh, Benjamin; Lahner, Zorah; Cremers, Daniel: Simulated Annealing for 3D Shape Correspondence. 2020 International Conference on 3D Vision (3DV), IEEE, 2020 more… BibTeX Full text ( DOI )
  • Koestler, L.; Yang, N.; Wang, R.; Cremers, D.: Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels. , 2020 more… BibTeX Full text ( DOI )
  • Laude, Emanuel; Ochs, Peter; Cremers, Daniel: Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity. arXiv, 2020 more… BibTeX Full text ( DOI )
  • Liu, Jiayu; Chiotellis, Ioannis; Triebel, Rudolph; Cremers, Daniel: Effective Version Space Reduction for Convolutional Neural Networks. , 2020 more… BibTeX Full text ( DOI )
  • Maier, Robert; Cremers, Daniel: RGB-D Vision. In: Encyclopedia of Robotics. Springer Berlin Heidelberg, 2020 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Yang, Nan; von Stumberg, Lukas; Wang, Rui; Cremers, Daniel: D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. , 2020 more… BibTeX Full text ( DOI )
  • Ye, Zhenzhang; Möllenhoff, Thomas; Wu, Tao; Cremers, Daniel: Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning. , 2020 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • von Stumberg, Lukas; Wenzel, Patrick; Yang, Nan; Cremers, Daniel: LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization. , 2020 more… BibTeX Full text ( DOI )

2019

  • Bréchet, Pierre; Wu, Tao; Möllenhoff, Thomas; Cremers, Daniel: Informative GANs via Structured Regularization of Optimal Transport. , 2019 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Eisenberger, Marvin; Lähner, Zorah; Cremers, Daniel: Smooth Shells: Multi-Scale Shape Registration with Functional Maps. , 2019 more… BibTeX Full text ( DOI )
  • Haefner, Bjoern; Peng, Songyou; Verma, Alok; Quéau, Yvain; Cremers, Daniel: Photometric Depth Super-Resolution. arXiv, 2019 more… BibTeX Full text ( DOI )
  • Haefner, Bjoern; Queau, Yvain; Cremers, Daniel: Photometric Segmentation: Simultaneous Photometric Stereo and Masking. 2019 International Conference on 3D Vision (3DV), IEEE, 2019 more… BibTeX Full text ( DOI )
  • Haefner, Bjoern; Ye, Zhenzhang; Gao, Maolin; Wu, Tao; Quéau, Yvain; Cremers, Daniel: Variational Uncalibrated Photometric Stereo under General Lighting. arXiv, 2019 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Jung, Eunah; Yang, Nan; Cremers, Daniel: Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light. , 2019 more… BibTeX Full text ( DOI )
  • Laude, Emanuel; Wu, Tao; Cremers, Daniel: Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. , 2019 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Moeller, Michael; Möllenhoff, Thomas; Cremers, Daniel: Controlling Neural Networks via Energy Dissipation. , 2019 more… BibTeX Full text ( DOI )
  • Möllenhoff, Thomas; Cremers, Daniel: Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus. , 2019 more… BibTeX Full text ( DOI )
  • Möllenhoff, Thomas; Cremers, Daniel: Flat Metric Minimization with Applications in Generative Modeling. , 2019 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX
  • Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé: Towards Generalizing Sensorimotor Control Across Weather Conditions. 2019 more… 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 more… BibTeX Full text ( DOI )
  • Sang, Lu; Haefner, Bjoern; Cremers, Daniel: Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. , 2019 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Schuchardt, Jan; Golkov, Vladimir; Cremers, Daniel: Learning to Evolve. , 2019 more… BibTeX Full text ( 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 more… 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • von Stumberg, Lukas; Usenko, Vladyslav; Cremers, Daniel: A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry. In: Multimodal Scene Understanding. Elsevier, 2019 more… BibTeX Full text ( DOI )
  • von Stumberg, Lukas; Wenzel, Patrick; Khan, Qadeer; Cremers, Daniel: GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization. , 2019 more… BibTeX Full text ( DOI )

2018

  • Aljalbout, Elie; Golkov, Vladimir; Siddiqui, Yawar; Strobel, Maximilian; Cremers, Daniel: Clustering with Deep Learning: Taxonomy and New Methods. , 2018 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Do, Binh Thanh; Golkov, Vladimir; Gurel, Goktug Erce; Cremers, Daniel: Precursor microRNA Identification Using Deep Convolutional Neural Networks. bioRxiv, 2018 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Eisenberger, Marvin; Lähner, Zorah; Cremers, Daniel: Divergence-Free Shape Interpolation and Correspondence. , 2018 more… BibTeX Full text ( DOI )
  • Engel, J.; Koltun, V.; Cremers, D.: Direct Sparse Odometry. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 more… 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 more… BibTeX Full text ( DOI )
  • Gao, Xiang; Wang, Rui; Demmel, Nikolaus; Cremers, Daniel: LDSO: Direct Sparse Odometry with Loop Closure. , 2018 more… BibTeX Full text ( 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 more… 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 more… 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 more… BibTeX Full text ( DOI )
  • Laehner, Zorah; Cremers, Daniel; Tung, Tony: DeepWrinkles: Accurate and Realistic Clothing Modeling. , 2018 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Ma, Lingni; Stückler, Jörg; Wu, Tao; Cremers, Daniel: Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform. , 2018 more… BibTeX Full text ( DOI )
  • Matsuki, Hidenobu; von Stumberg, Lukas; Usenko, Vladyslav; Stückler, Jörg; Cremers, Daniel: Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras. arXiv, 2018 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Mengyu Chu, You Xie, Jonas Mayer, Laura Leal-Taixé, Nils Thuerey: Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation. 2018 more… BibTeX
  • Moeller, Michael; Cremers, Daniel: Image Denoising—Old and New. In: Denoising of Photographic Images and Video. Springer International Publishing, 2018 more… BibTeX Full text ( DOI )
  • Möllenhoff, Thomas; Ye, Zhenzhang; Wu, Tao; Cremers, Daniel: Combinatorial Preconditioners for Proximal Algorithms on Graphs. , 2018 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX
  • Schubert, David; Demmel, Nikolaus; Usenko, Vladyslav; Stückler, Jörg; Cremers, Daniel: Direct Sparse Odometry with Rolling Shutter. arXiv, 2018 more… BibTeX Full text ( DOI )
  • Schubert, David; Goll, Thore; Demmel, Nikolaus; Usenko, Vladyslav; Stückler, Jörg; Cremers, Daniel: The TUM VI Benchmark for Evaluating Visual-Inertial Odometry. arXiv, 2018 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Tjaden, Henning; Schwanecke, Ulrich; Schömer, Elmar; Cremers, Daniel: A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking. arXiv, 2018 more… BibTeX Full text ( DOI )
  • Usenko, Vladyslav; Demmel, Nikolaus; Cremers, Daniel: The Double Sphere Camera Model. arXiv, 2018 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Wenzel, Patrick; Khan, Qadeer; Cremers, Daniel; Leal-Taixé, Laura: Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs. , 2018 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Yang, Nan; Wang, Rui; Stückler, Jörg; Cremers, Daniel: Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. , 2018 more… BibTeX Full text ( DOI )
  • von Stumberg, Lukas; Usenko, Vladyslav; Cremers, Daniel: Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization. arXiv, 2018 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Benning, Martin; Möller, Michael; Nossek, Raz Z.; Burger, Martin; Cremers, Daniel; Gilboa, Guy; Schönlieb, Carola-Bibiane: Nonlinear Spectral Image Fusion. , 2017 more… BibTeX Full text ( DOI )
  • Bergmann, Paul; Wang, Rui; Cremers, Daniel: Online Photometric Calibration for Auto Exposure Video for Realtime Visual Odometry and SLAM. , 2017 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Cremers, Daniel: Computer Vision für 3-D-Rekonstruktion. Informatik-Spektrum 40 (2), 2017, 205-209 more… BibTeX Full text ( DOI )
  • Estellers, V.; Schmidt, F. R.; Cremers, D.: Compression for Smooth Shape Analysis. , 2017 more… BibTeX Full text ( DOI )
  • Frerix, Thomas; Möllenhoff, Thomas; Moeller, Michael; Cremers, Daniel: Proximal Backpropagation. , 2017 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Haeusser, Philip; Frerix, Thomas; Mordvintsev, Alexander; Cremers, Daniel: Associative Domain Adaptation. , 2017 more… BibTeX Full text ( DOI )
  • Hazirbas, Caner; Soyer, Sebastian Georg; Staab, Maximilian Christian; Leal-Taixé, Laura; Cremers, Daniel: Deep Depth From Focus. , 2017 more… BibTeX Full text ( DOI )
  • Henschel, Roberto; Leal-Taixé, Laura; Cremers, Daniel; Rosenhahn, Bodo: Fusion of Head and Full-Body Detectors for Multi-Object Tracking. , 2017 more… BibTeX Full text ( DOI )
  • Häusser, Philip; Mordvintsev, Alexander; Cremers, Daniel: Learning by Association - A versatile semi-supervised training method for neural networks. , 2017 more… BibTeX Full text ( 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 more… 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Kukačka, Jan; Golkov, Vladimir; Cremers, Daniel: Regularization for Deep Learning: A Taxonomy. , 2017 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Laude, Emanuel; Wu, Tao; Cremers, Daniel: A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization. , 2017 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Ma, Lingni; Stückler, Jörg; Kerl, Christian; Cremers, Daniel: Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras. , 2017 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Maier, Robert; Schaller, Raphael; Cremers, Daniel: Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction. , 2017 more… BibTeX Full text ( DOI )
  • Meinhardt, Tim; Moeller, Michael; Hazirbas, Caner; Cremers, Daniel: Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. arXiv, 2017 more… BibTeX Full text ( DOI )
  • Mélou, Jean; Quéau, Yvain; Durou, Jean-Denis; Castan, Fabien; Cremers, Daniel: Variational Reflectance Estimation from Multi-view Images. , 2017 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Peng, Songyou; Haefner, Bjoern; Quéau, Yvain; Cremers, Daniel: Depth Super-Resolution Meets Uncalibrated Photometric Stereo. , 2017 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Quéau, Yvain; Mélou, Jean; Durou, Jean-Denis; Cremers, Daniel: Dense Multi-view 3D-reconstruction Without Dense Correspondences. , 2017 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX
  • Quéau, Yvain; Wu, Tao; Cremers, Daniel: Semi-calibrated Near-Light Photometric Stereo. In: Lecture Notes in Computer Science. Springer International Publishing, 2017 more… BibTeX Full text ( DOI )
  • Rodolà, E.; Moeller, M.; Cremers, D.: Regularized Pointwise Map Recovery from Functional Correspondence. Computer Graphics Forum 36 (8), 2017, 700-711 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Wang, Rui; Schwörer, Martin; Cremers, Daniel: Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras. , 2017 more… BibTeX Full text ( DOI )

2016

  • Bernard, Florian; Schmidt, Frank R.; Thunberg, Johan; Cremers, Daniel: A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. arXiv, 2016 more… BibTeX Full text ( DOI )
  • Boscaini, D.; Masci, J.; Rodolà, E.; Bronstein, M. M.; Cremers, D.: Anisotropic Diffusion Descriptors. Computer Graphics Forum 35 (2), 2016, 431-441 more… BibTeX Full text ( DOI )
  • Bringmann, Björn; Cremers, Daniel; Krahmer, Felix; Möller, Michael: The Homotopy Method Revisited: Computing Solution Paths of $\ell_1$-Regularized Problems. , 2016 more… BibTeX Full text ( 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 more… 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Geiping, Jonas; Dirks, Hendrik; Cremers, Daniel; Moeller, Michael: Multiframe Motion Coupling for Video Super Resolution. , 2016 more… BibTeX Full text ( DOI )
  • Litany, O.; Rodolà, E.; Bronstein, A. M.; Bronstein, M. M.; Cremers, D.: Non-Rigid Puzzles. Computer Graphics Forum 35 (5), 2016, 135-143 more… BibTeX Full text ( 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 more… 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 more… BibTeX Full text ( DOI )
  • Lähner, Zorah; Rodolà, Emanuele; Schmidt, Frank R.; Bronstein, Michael M.; Cremers, Daniel: Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. , 2016 more… BibTeX Full text ( DOI )
  • Möllenhoff, Thomas; Cremers, Daniel: Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems. , 2016 more… BibTeX Full text ( DOI )
  • Rodolà, E.; Cosmo, L.; Bronstein, M. M.; Torsello, A.; Cremers, D.: Partial Functional Correspondence. Computer Graphics Forum 36 (1), 2016, 222-236 more… BibTeX Full text ( DOI )
  • Vestner, Matthias; Litman, Roee; Bronstein, Alex; Rodolà, Emanuele; Cremers, Daniel: Bayesian Inference of Bijective Non-Rigid Shape Correspondence. , 2016 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • von Stumberg, Lukas; Usenko, Vladyslav; Engel, Jakob; Stückler, Jörg; Cremers, Daniel: From Monocular SLAM to Autonomous Drone Exploration. arXiv, 2016 more… BibTeX Full text ( 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 more… BibTeX
  • Mecca, R.; Rodolà, E.; Cremers, D.: Realistic photometric stereo using partial differential irradiance equation ratios. Computers & Graphics 51, 2015, 8-16 more… BibTeX Full text ( 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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • Rodolà, Emanuele; Cosmo, Luca; Bronstein, Michael M.; Torsello, Andrea; Cremers, Daniel: Partial Functional Correspondence. , 2015 more… BibTeX Full text ( DOI )
  • Rodolà, Emanuele; Moeller, Michael; Cremers, Daniel: Point-wise Map Recovery and Refinement from Functional Correspondence. , 2015 more… BibTeX Full text ( DOI )