| 2026 | AAAI | HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction (Abstract Reprint). | Wei Zhang, Qing Cheng, David Skuddis, Niclas Zeller, Daniel Cremers, Norbert Haala |
| 2026 | WACV | GrounDiff: Diffusion-Based Ground Surface Generation from Digital Surface Models. | Oussema Dhaouadi, Johannes Meier, Jacques Kaiser, Daniel Cremers |
| 2026 | WACV | ControlEvents: Controllable Synthesis of Event Camera Data with Foundational Prior from Image Diffusion Models. | Yixuan Hu, Yuxuan Xue, Simon Klenk, Daniel Cremers, Gerard Pons-Moll |
| 2026 | WACV | IDEAL-M3D: Instance Diversity-Enriched Active Learning for Monocular 3D Detection. | Johannes Meier, Florian Gnther, Riccardo Marin, Oussema Dhaouadi, Jacques Kaiser, Daniel Cremers |
| 2026 | WACV | Global Focal and Radial Distortion Averaging from Radial Fundamental Matrices for Robust Self-Calibration. | Sergei Solonets, Daniil Sinitsyn, Daniel Cremers |
| 2025 | CVPR | Scene-Centric Unsupervised Panoptic Segmentation. | Oliver Hahn, Christoph Reich, Nikita Araslanov, Daniel Cremers, Christian Rupprecht, Stefan Roth |
| 2025 | CVPR | Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction. | Cecilia Curreli, Dominik Muhle, Abhishek Saroha, Zhenzhang Ye, Riccardo Marin, Daniel Cremers |
| 2025 | CVPR | Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. | Thomas Dags, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel |
| 2025 | CVPR | RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning. | Yuan Luo, Rudolf Hoffmann, Yan Xia, Olaf Wysocki, Benedikt Schwab, Thomas H. Kolbe, Daniel Cremers |
| 2025 | CVPR | Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation. | Reza Qorbani, Gianluca Villani, Theodoros Panagiotakopoulos, Marc Botet Colomer, Linus Hrenstam-Nielsen, Mattia Seg, Pier Luigi Dovesi, Jussi Karlgren, Daniel Cremers, Federico Tombari, Matteo Poggi |
| 2025 | CVPR | Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching. | Paul Roetzer, Viktoria Ehm, Daniel Cremers, Zorah Lhner, Florian Bernard |
| 2025 | CVPR | 4Deform: Neural Surface Deformation for Robust Shape Interpolation. | Lu Sang, Zehranaz Canfes, Dongliang Cao, Riccardo Marin, Florian Bernard, Daniel Cremers |
| 2025 | CVPR | It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data. | Dominik Schnaus, Nikita Araslanov, Daniel Cremers |
| 2025 | CVPR | PRaDA: Projective Radial Distortion Averaging. | Daniil Sinitsyn, Linus Hrenstam-Nielsen, Daniel Cremers |
| 2025 | CVPR | AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos. | Felix Wimbauer, Weirong Chen, Dominik Muhle, Christian Rupprecht, Daniel Cremers |
| 2025 | CVPR | EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection. | Yizheng Xie, Viktoria Ehm, Paul Roetzer, Nafie El Amrani, Maolin Gao, Florian Bernard, Daniel Cremers |
| 2025 | CVPR | SparseAlign: a Fully Sparse Framework for Cooperative Object Detection. | Yunshuang Yuan, Yan Xia, Daniel Cremers, Monika Sester |
| 2025 | CVPR | Localizing Events in Videos with Multimodal Queries. | Gengyuan Zhang, Mang Ling Ada Fok, Jialu Ma, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu |
| 2025 | EMNLP | TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route. | Hongyi Luo, Qing Cheng, Daniel Matos, Hari Krishna Gadi, Yanfeng Zhang, Lu Liu, Yongliang Wang, Niclas Zeller, Daniel Cremers, Liqiu Meng |
| 2025 | ICCV | Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction. | Weirong Chen, Ganlin Zhang, Felix Wimbauer, Rui Wang, Nikita Araslanov, Andrea Vedaldi, Daniel Cremers |
| 2025 | ICCV | Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery. | Xinrui Gong, Oliver Hahn, Christoph Reich, Krishnakant Singh, Simone Schaub-Meyer, Daniel Cremers, Stefan Roth |
| 2025 | ICCV | GECO: Geometrically Consistent Embedding with Lightspeed Inference. | Regine Hartwig, Dominik Muhle, Riccardo Marin, Daniel Cremers |
| 2025 | ICCV | Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion. | Aleksandar Jevtic, Christoph Reich, Felix Wimbauer, Oliver Hahn, Christian Rupprecht, Stefan Roth, Daniel Cremers |
| 2025 | ICCV | Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images. | Philipp Wulff, Felix Wimbauer, Dominik Muhle, Daniel Cremers |
| 2025 | ICCV | CSG-Fusion: Consistent Sparse-View Gaussian Splatting via Matching-based Fusion. | Yan Xia, Wenbo Ji, Weirong Chen, Daniel Cremers |
| 2025 | ICCV | Trafficloc: Localizing Traffic Surveillance Cameras in 3D Scenes. | Yan Xia, Yunxiang Lu, Rui Song, Oussema Dhaouadi, Joo F. Henriques, Daniel Cremers |
| 2025 | ICLR | Implicit Neural Surface Deformation with Explicit Velocity Fields. | Lu Sang, Zehranaz Canfes, Dongliang Cao, Florian Bernard, Daniel Cremers |
| 2025 | ICRA | Ground-Aware Automotive Radar Odometry. | Daniel Casado Herraez, Franz Kaschner, Matthias Zeller, Dominik Muhle, Jens Behley, Michael Heidingsfeld, Daniel Cremers, Cyrill Stachniss |
| 2025 | ICRA | MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models. | Johannes Meier, Louis Inchingolo, Oussema Dhaouadi, Yan Xia, Jacques Kaiser, Daniel Cremers |
| 2025 | IROS | The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking. | Mateo de Mayo, Daniel Cremers, Taih Pire |
| 2025 | ISVC | LiFMCR: Dataset and Benchmark for Light Field Multi-camera Registration. | Aymeric Fleith, Julian Zirbel, Daniel Cremers, Niclas Zeller |
| 2025 | WACV | On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches. | Florian Hofherr, Bjoern Haefner, Daniel Cremers |
| 2025 | WACV | 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, Magdalena Wysocki, Ludwig Hoegner, Daniel Cremers, Christoph Holst |
| 2024 | ACL | 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 |
| 2024 | AISTATS | Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization. | Zhenzhang Ye, Gabriel Peyr, Daniel Cremers, Pierre Ablin |
| 2024 | CVPR | Finsler-Laplace-Beltrami Operators with Application to Shape Analysis. | Simon Weber, Thomas Dags, Maolin Gao, Daniel Cremers |
| 2024 | CVPR | Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-Light Photometric Stereo. | Mohammed Brahimi, Bjoern Haefner, Zhenzhang Ye, Bastian Goldluecke, Daniel Cremers |
| 2024 | CVPR | Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar Ball. | Simon Weber, Baris Zngr, Nikita Araslanov, Daniel Cremers |
| 2024 | CVPR | Text2Loc: 3D Point Cloud Localization from Natural Language. | Yan Xia, Letian Shi, Zifeng Ding, Joo F. Henriques, Daniel Cremers |
| 2024 | CVPR | Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation. | Dongliang Cao, Marvin Eisenberger, Nafie El Amrani, Daniel Cremers, Florian Bernard |
| 2024 | CVPR | Partial-to-Partial Shape Matching with Geometric Consistency. | Viktoria Ehm, Maolin Gao, Paul Roetzer, Marvin Eisenberger, Daniel Cremers, Florian Bernard |
| 2024 | CVPR | Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation. | Keonhee Han, Dominik Muhle, Felix Wimbauer, Daniel Cremers |
| 2024 | CVPR | Deep Video Codec Control for Vision Models. | Christoph Reich, Biplob Debnath, Deep Patel, Tim Prangemeier, Daniel Cremers, Srimat Chakradhar |
| 2024 | CVPR | A Perspective on Deep Vision Performance with Standard Image and Video Codecs. | Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath |
| 2024 | CVPR | SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation. | Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taix |
| 2024 | CVPR | Cache Me if You Can: Accelerating Diffusion Models through Block Caching. | Felix Wimbauer, Bichen Wu, Edgar Schnfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang |
| 2024 | ECCV | DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting. | Linus Hrenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers |
| 2024 | ECCV | GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation. | Bangyan Liao, Zhenjun Zhao, Lu Chen, Haoang Li, Daniel Cremers, Peidong Liu |
| 2024 | ECCV | MeshFeat: Multi-resolution Features for Neural Fields on Meshes. | Mihir Mahajan, Florian Hofherr, Daniel Cremers |
| 2024 | ECCV | Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment. | Simon Weber, Je Hyeong Hong, Daniel Cremers |
| 2024 | ECCV | MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. | Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taix, Marc Pollefeys, Daniel Cremers, Luc Van Gool |
| 2024 | ICLR | HoloNets: Spectral Convolutions do extend to Directed Graphs. | Christian Koke, Daniel Cremers |
| 2024 | ICLR | An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment. | Sergei Solonets, Daniil Sinitsyn, Lukas von Stumberg, Nikita Araslanov, Daniel Cremers |
| 2024 | ICML | 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 Mllenhoff |
| 2024 | IROS | Physically-Based Photometric Bundle Adjustment in Non-Lambertian Environments. | Lei Cheng, Junpeng Hu, Haodong Yan, Mariia Gladkova, Tianyu Huang, Yun-Hui Liu, Daniel Cremers, Haoang Li |
| 2024 | WACV | SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering. | Mohammed Brahimi, Bjoern Haefner, Tarun Yenamandra, Bastian Goldluecke, Daniel Cremers |
| 2024 | WACV | Masked Event Modeling: Self-Supervised Pretraining for Event Cameras. | Simon Klenk, David Bonello, Lukas Koestler, Nikita Araslanov, Daniel Cremers |
| 2024 | WACV | Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. | Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp |
| 2024 | WACV | FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions. | Tarun Yenamandra, Ayush Tewari, Nan Yang, Florian Bernard, Christian Theobalt, Daniel Cremers |
| 2023 | CVPR | Power Bundle Adjustment for Large-Scale 3D Reconstruction. | Simon Weber, Nikolaus Demmel, Tin Chon Chan, Daniel Cremers |
| 2023 | CVPR | G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors. | Marvin Eisenberger, Aysim Toker, Laura Leal-Taix, Daniel Cremers |
| 2023 | CVPR | Semidefinite Relaxations for Robust Multiview Triangulation. | Linus Hrenstam-Nielsen, Niclas Zeller, Daniel Cremers |
| 2023 | CVPR | Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. | Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers |
| 2023 | CVPR | Behind the Scenes: Density Fields for Single View Reconstruction. | Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers |
| 2023 | CVPR | Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks. | Olaf Wysocki, Yan Xia, Magdalena Wysocki, Eleonora Grilli, Ludwig Hoegner, Daniel Cremers, Uwe Stilla |
| 2023 | ICCV | CASSPR: Cross Attention Single Scan Place Recognition. | Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, Joo F. Henriques, Daniel Cremers |
| 2023 | ICCV | To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. | Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Hrenstam-Nielsen, Hossein Azizpour, Hedvig Kjellstrm, Daniel Cremers, Matteo Poggi |
| 2023 | ICCV | ΣIGMA: Scale-Invariant Global Sparse Shape Matching. | Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lhner, Michael Mller, Daniel Cremers, Florian Bernard |
| 2023 | ICCV | DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates. | Haoang Li, Jinhu Dong, Binghui Wen, Ming Gao, Tianyu Huang, Yun-Hui Liu, Daniel Cremers |
| 2023 | ICML | Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. | Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel |
| 2023 | ICML | Beyond In-Domain Scenarios: Robust Density-Aware Calibration. | Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers |
| 2023 | WACV | Neural Implicit Representations for Physical Parameter Inference from a Single Video. | Florian Hofherr, Lukas Koestler, Florian Bernard, Daniel Cremers |
| 2023 | WACV | High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. | Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers |
| 2022 | AAAI | Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections. | Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers |
| 2022 | CoRL | PRISM: Probabilistic Real-Time Inference in Spatial World Models. | Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer |
| 2022 | CVPR | A Unified Framework for Implicit Sinkhorn Differentiation. | Marvin Eisenberger, Aysim Toker, Laura Leal-Taix, Florian Bernard, Daniel Cremers |
| 2022 | CVPR | 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 |
| 2022 | CVPR | A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. | Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard |
| 2022 | CVPR | Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. | Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers |
| 2022 | CVPR | DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. | Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrs Camero, Jingliang Hu, Ariadna Pregel Hoderlein, aglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taix |
| 2022 | ECCV | Intrinsic Neural Fields: Learning Functions on Manifolds. | Lukas Koestler, Daniel Grittner, Michael Mller, Daniel Cremers, Zorah Lhner |
| 2022 | ECCV | Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. | Christian Tomani, Daniel Cremers, Florian Buettner |
| 2022 | ICANN | Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion. | Dominik Rle, Daniel Cremers, Torsten Schn |
| 2022 | ICIP | Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation. | Deepan Das, Qadeer Khan, Daniel Cremers |
| 2022 | ICPR | Efficient and Flexible Sublabel-Accurate Energy Minimization. | Zhakshylyk Nurlanov, Daniel Cremers, Florian Bernard |
| 2022 | ICRA | Vision-Based Large-scale 3D Semantic Mapping for Autonomous Driving Applications. | Qing Cheng, Niclas Zeller, Daniel Cremers |
| 2022 | IROS | DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment. | Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljosa Osep, Laura Leal-Taix, Daniel Cremers |
| 2021 | AISTATS | Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry. | Qadeer Khan, Patrick Wenzel, Daniel Cremers |
| 2021 | CoRL | TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo. | Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers |
| 2021 | CVPR | Square Root Bundle Adjustment for Large-Scale Reconstruction. | Nikolaus Demmel, Christiane Sommer, Daniel Cremers, Vladyslav Usenko |
| 2021 | CVPR | NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. | Marvin Eisenberger, David Novotn, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi |
| 2021 | CVPR | Isometric Multi-Shape Matching. | Maolin Gao, Zorah Lhner, Johan Thunberg, Daniel Cremers, Florian Bernard |
| 2021 | CVPR | Post-Hoc Uncertainty Calibration for Domain Drift Scenarios. | Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner |
| 2021 | CVPR | MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera. | Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers |
| 2021 | CVPR | SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition. | Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla |
| 2021 | CVPR | i3DMM: Deep Implicit 3D Morphable Model of Human Heads. | Tarun Yenamandra, Ayush Tewari, Florian Bernard, Hans-Peter Seidel, Mohamed A. Elgharib, Daniel Cremers, Christian Theobalt |
| 2021 | ICCV | Square Root Marginalization for Sliding-Window Bundle Adjustment. | Nikolaus Demmel, David Schubert, Christiane Sommer, Daniel Cremers, Vladyslav Usenko |
| 2021 | ICML | Variational Data Assimilation with a Learned Inverse Observation Operator. | Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer |
| 2021 | ICRA | Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry. | Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers |
| 2021 | IROS | TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset. | Simon Klenk, Jason Chui, Nikolaus Demmel, Daniel Cremers |
| 2021 | IROS | Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. | Martin Wudenka, Marcus Gerhard Mller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Strzl |
| 2021 | ICRA | Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. | Patrick Wenzel, Torsten Schn, Laura Leal-Taix, Daniel Cremers |
| 2021 | UAI | Explicit pairwise factorized graph neural network for semi-supervised node classification. | Yu Wang, Yuesong Shen, Daniel Cremers |
| 2020 | AISTATS | Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning. | Zhenzhang Ye, Thomas Mllenhoff, Tao Wu, Daniel Cremers |
| 2020 | CVPR | Smooth Shells: Multi-Scale Shape Registration With Functional Maps. | Marvin Eisenberger, Zorah Lhner, Daniel Cremers |
| 2020 | CVPR | Homogeneous Linear Inequality Constraints for Neural Network Activations. | Thomas Frerix, Matthias Niener, Daniel Cremers |
| 2020 | CVPR | Efficient Derivative Computation for Cumulative B-Splines on Lie Groups. | Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers |
| 2020 | CVPR | Correspondence-Free Material Reconstruction using Sparse Surface Constraints. | Sebastian Weiss, Robert Maier, Daniel Cremers, Rdiger Westermann, Nils Thuerey |
| 2020 | CVPR | D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. | Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers |
| 2020 | ECCV | DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization. | Juan Du, Rui Wang, Daniel Cremers |
| 2020 | ECCV | Hamiltonian Dynamics for Real-World Shape Interpolation. | Marvin Eisenberger, Daniel Cremers |
| 2020 | ICRA | PrimiTect: Fast Continuous Hough Voting for Primitive Detection. | Christiane Sommer, Yumin Sun, Erik Bylow, Daniel Cremers |
| 2020 | ICRA | DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation. | Rui Wang, Nan Yang, Jrg Stckler, Daniel Cremers |
| 2020 | WACV | Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. | Lu Sang, Bjoern Haefner, Daniel Cremers |
| 2019 | AISTATS | Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. | Emanuel Laude, Tao Wu, Daniel Cremers |
| 2019 | CoRL | Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light. | Eunah Jung, Nan Yang, Daniel Cremers |
| 2019 | CVPR | Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus. | Thomas Mllenhoff, Daniel Cremers |
| 2019 | ICCV | Controlling Neural Networks via Energy Dissipation. | Michael Mller, Thomas Mllenhoff, Daniel Cremers |
| 2019 | ICCV | Variational Uncalibrated Photometric Stereo Under General Lighting. | Zhenzhang Ye, Bjoern Haefner, Maolin Gao, Tao Wu, Yvain Quau, Daniel Cremers |
| 2019 | ICML | Flat Metric Minimization with Applications in Generative Modeling. | Thomas Mllenhoff, Daniel Cremers |
| 2019 | IROS | Towards Generalizing Sensorimotor Control Across Weather Conditions. | Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taix |
| 2019 | IROS | Rolling-Shutter Modelling for Direct Visual-Inertial Odometry. | David Schubert, Nikolaus Demmel, Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers |
| 2018 | ACCV | Deep Depth from Focus. | Caner Hazirbas, Sebastian Georg Soyer, Maximilian Christian Staab, Laura Leal-Taix, Daniel Cremers |
| 2018 | AISTATS | A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization. | Emanuel Laude, Tao Wu, Daniel Cremers |
| 2018 | AISTATS | Combinatorial Preconditioners for Proximal Algorithms on Graphs. | Thomas Mllenhoff, Zhenzhang Ye, Tao Wu, Daniel Cremers |
| 2018 | CoRL | Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs. | Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taix |
| 2018 | CVPR | Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading. | Bjoern Haefner, Yvain Quau, Thomas Mllenhoff, Daniel Cremers |
| 2018 | CVPR | Fusion of Head and Full-Body Detectors for Multi-Object Tracking. | Roberto Henschel, Laura Leal-Taix, Daniel Cremers, Bodo Rosenhahn |
| 2018 | CVPR | Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. | Emanuel Laude, Jan-Hendrik Lange, Jonas Schpfer, Csaba Domokos, Laura Leal-Taix, Frank R. Schmidt, Bjoern Andres, Daniel Cremers |
| 2018 | ECCV | MRF Optimization with Separable Convex Prior on Partially Ordered Labels. | Csaba Domokos, Frank R. Schmidt, Daniel Cremers |
| 2018 | ECCV | DeepWrinkles: Accurate and Realistic Clothing Modeling. | Zorah Lhner, Daniel Cremers, Tony Tung |
| 2018 | ECCV | Direct Sparse Odometry with Rolling Shutter. | David Schubert, Nikolaus Demmel, Vladyslav Usenko, Jrg Stckler, Daniel Cremers |
| 2018 | ECCV | Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. | Nan Yang, Rui Wang, Jrg Stckler, Daniel Cremers |
| 2018 | ICLR | Proximal Backpropagation. | Thomas Frerix, Thomas Mllenhoff, Michael Mller, Daniel Cremers |
| 2018 | IROS | Incremental Semi-Supervised Learning from Streams for Object Classification. | Ioannis Chiotellis, Franziska Zimmermann, Daniel Cremers, Rudolph Triebel |
| 2018 | IROS | LDSO: Direct Sparse Odometry with Loop Closure. | Xiang Gao, Rui Wang, Nikolaus Demmel, Daniel Cremers |
| 2018 | IROS | The TUM VI Benchmark for Evaluating Visual-Inertial Odometry. | David Schubert, Thore Goll, Nikolaus Demmel, Vladyslav Usenko, Jrg Stckler, Daniel Cremers |
| 2018 | ICRA | StaticFusion: Background Reconstruction for Dense RGB-D SLAM in Dynamic Environments. | Raluca Scona, Mariano Jaimez, Yvan R. Petillot, Maurice F. Fallon, Daniel Cremers |
| 2018 | ICRA | Direct Sparse Visual-Inertial Odometry Using Dynamic Marginalization. | Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers |
| 2017 | BMVC | Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction. | Robert Maier, Raphael Schaller, Daniel Cremers |
| 2017 | CVPR | A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. | Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers |
| 2017 | CVPR | One-Shot Video Object Segmentation. | Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taix, Daniel Cremers, Luc Van Gool |
| 2017 | CVPR | Learning by Association - A Versatile Semi-Supervised Training Method for Neural Networks. | Philip Husser, Alexander Mordvintsev, Daniel Cremers |
| 2017 | CVPR | An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Surface Models. | Mariano Jaimez, Thomas J. Cashman, Andrew W. Fitzgibbon, Javier Gonzlez Jimnez, Daniel Cremers |
| 2017 | CVPR | A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting. | Yvain Quau, Tao Wu, Franois Lauze, Jean-Denis Durou, Daniel Cremers |
| 2017 | CVPR | KillingFusion: Non-rigid 3D Reconstruction without Correspondences. | Miroslava Slavcheva, Maximilian Baust, Daniel Cremers, Slobodan Ilic |
| 2017 | CVPR | Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. | Matthias Vestner, Roee Litman, Emanuele Rodol, Alexander M. Bronstein, Daniel Cremers |
| 2017 | ICCV | Associative Domain Adaptation. | Philip Husser, Thomas Frerix, Alexander Mordvintsev, Daniel Cremers |
| 2017 | ICCV | Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting. | Robert Maier, Kihwan Kim, Daniel Cremers, Jan Kautz, Matthias Niener |
| 2017 | ICCV | Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. | Tim Meinhardt, Michael Mller, Caner Hazirbas, Daniel Cremers |
| 2017 | ICCV | Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems. | Thomas Mllenhoff, Daniel Cremers |
| 2017 | ICCV | Image-Based Localization Using LSTMs for Structured Feature Correlation. | Florian Walch, Caner Hazirbas, Laura Leal-Taix, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers |
| 2017 | ICCV | Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras. | Rui Wang, Martin Schwrer, Daniel Cremers |
| 2017 | ICRA | De-noising, stabilizing and completing 3D reconstructions on-the-go using plane priors. | Maksym Dzitsiuk, Jrgen Sturm, Robert Maier, Lingni Ma, Daniel Cremers |
| 2017 | ICRA | Fast odometry and scene flow from RGB-D cameras based on geometric clustering. | Mariano Jaimez, Christian Kerl, Javier Gonzlez Jimnez, Daniel Cremers |
| 2017 | IROS | Multi-view deep learning for consistent semantic mapping with RGB-D cameras. | Lingni Ma, Jrg Stckler, Christian Kerl, Daniel Cremers |
| 2017 | IROS | Real-time trajectory replanning for MAVs using uniform B-splines and a 3D circular buffer. | Vladyslav Usenko, Lukas von Stumberg, Andrej Pangercic, Daniel Cremers |
| 2017 | MVA | Direct methods for 3D reconstruction and visual SLAM. | Daniel Cremers |
| 2016 | ACCV | FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture. | Caner Hazirbas, Lingni Ma, Csaba Domokos, Daniel Cremers |
| 2016 | CVPR | Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. | Zorah Lhner, Emanuele Rodol, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers |
| 2016 | CVPR | A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. | Nikolaus Mayer, Eddy Ilg, Philip Husser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox |
| 2016 | CVPR | Sublabel-Accurate Relaxation of Nonconvex Energies. | Thomas Mllenhoff, Emanuel Laude, Michael Mller, Jan Lellmann, Daniel Cremers |
| 2016 | ECCV | Non-rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding. | Ioannis Chiotellis, Rudolph Triebel, Thomas Windheuser, Daniel Cremers |
| 2016 | ECCV | Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies. | Emanuel Laude, Thomas Mllenhoff, Michael Mller, Jan Lellmann, Daniel Cremers |
| 2016 | ECCV | A Convex Solution to Spatially-Regularized Correspondence Problems. | Thomas Windheuser, Daniel Cremers |
| 2016 | FUSION | Scaling the world of monocular SLAM with INS-measurements for UAS navigation. | Daniel Bender, Fahmi Rouatbi, Marek Schikora, Daniel Cremers, Wolfgang Koch |
| 2016 | ICPR | A game-theoretical approach for joint matching of multiple feature throughout unordered images. | Luca Cosmo, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello, Emanuele Rodol, Daniel Cremers |
| 2016 | ICRA | CPA-SLAM: Consistent plane-model alignment for direct RGB-D SLAM. | Lingni Ma, Christian Kerl, Jrg Stckler, Daniel Cremers |
| 2016 | ICRA | Stream-based Active Learning for efficient and adaptive classification of 3D objects. | Alexander Narr, Rudolph Triebel, Daniel Cremers |
| 2016 | ICRA | Direct visual-inertial odometry with stereo cameras. | Vladyslav Usenko, Jakob J. Engel, Jrg Stckler, Daniel Cremers |
| 2015 | CVPR | Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction. | Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Torsello, Emanuele Rodol, Daniel Cremers |
| 2015 | ICCV | FlowNet: Learning Optical Flow with Convolutional Networks. | Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Husser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox |
| 2015 | ICCV | Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras. | Christian Kerl, Jrg Stckler, Daniel Cremers |
| 2015 | ICCV | Learning Nonlinear Spectral Filters for Color Image Reconstruction. | Michael Mller, Julia Diebold, Guy Gilboa, Daniel Cremers |
| 2015 | ICCV | Entropy Minimization for Convex Relaxation Approaches. | Mohamed Souiai, Martin R. Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, Daniel Cremers |
| 2015 | ICCV | Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations. | Jan Sthmer, Sebastian Nowozin, Andrew W. Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers, Jamie Shotton |
| 2015 | ICRA | A primal-dual framework for real-time dense RGB-D scene flow. | Mariano Jaimez, Mohamed Souiai, Javier Gonzlez Jimnez, Daniel Cremers |
| 2015 | ICRA | Active online confidence boosting for efficient object classification. | Dennis Mund, Rudolph Triebel, Daniel Cremers |
| 2015 | IROS | Large-scale direct SLAM for omnidirectional cameras. | David Caruso, Jakob J. Engel, Daniel Cremers |
| 2015 | IROS | Large-scale direct SLAM with stereo cameras. | Jakob J. Engel, Jrg Stckler, Daniel Cremers |
| 2015 | IROS | Semi-supervised online learning for efficient classification of objects in 3D data streams. | Ye Tao, Rudolph Triebel, Daniel Cremers |
| 2015 | MICCAI | q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. | Vladimir Golkov, Alexey Dosovitskiy, Philipp G. Smann, Jonathan I. Sperl, Tim Sprenger, Michael Czisch, Marion I. Menzel, Pedro A. Gmez, Axel Haase, Thomas Brox, Daniel Cremers |
| 2014 | BMVC | Surface Normal Integration for Convex Space-time Multi-view Reconstruction. | Martin R. Oswald, Daniel Cremers |
| 2014 | BMVC | Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis. | Thomas Windheuser, Matthias Vestner, Emanuele Rodol, Rudolph Triebel, Daniel Cremers |
| 2014 | CVPR | Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation. | Youngwook Kee, Mohamed Souiai, Daniel Cremers, Junmo Kim |
| 2014 | CVPR | Dense Non-rigid Shape Correspondence Using Random Forests. | Emanuele Rodol, Samuel Rota Bul, Thomas Windheuser, Matthias Vestner, Daniel Cremers |
| 2014 | ECCV | Anisotropic Laplace-Beltrami Operators for Shape Analysis. | Mathieu Andreux, Emanuele Rodol, Mathieu Aubry, Daniel Cremers |
| 2014 | ECCV | LSD-SLAM: Large-Scale Direct Monocular SLAM. | Jakob J. Engel, Thomas Schps, Daniel Cremers |
| 2014 | ECCV | High-Resolution Plant Shape Measurements from Multi-view Stereo Reconstruction. | Maria Klodt, Daniel Cremers |
| 2014 | ECCV | Co-Sparse Textural Similarity for Interactive Segmentation. | Claudia Nieuwenhuis, Simon Hawe, Martin Kleinsteuber, Daniel Cremers |
| 2014 | ECCV | Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction. | Martin Ralf Oswald, Jan Sthmer, Daniel Cremers |
| 2014 | ECCV | Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional. | Evgeny Strekalovskiy, Daniel Cremers |
| 2014 | ICRA | Volumetric 3D mapping in real-time on a CPU. | Frank Steinbrcker, Jrgen Sturm, Daniel Cremers |
| 2014 | ICRA | Event-based 3D SLAM with a depth-augmented dynamic vision sensor. | David Weikersdorfer, David B. Adrian, Daniel Cremers, Jrg Conradt |
| 2014 | ISMAR | Semi-dense visual odometry for AR on a smartphone. | Thomas Schps, Jakob J. Engel, Daniel Cremers |
| 2014 | KI | Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data. | Shoubhik Debnath, Shiv Sankar Baishya, Rudolph Triebel, Varun Dutt, Daniel Cremers |
| 2013 | BMVC | Efficient Shape Matching using Vector Extrapolation. | Emanuele Rodol, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers |
| 2013 | CVPR | Relative Volume Constraints for Single View 3D Reconstruction. | Eno Tppe, Claudia Nieuwenhuis, Daniel Cremers |
| 2013 | ICCV | Semi-dense Visual Odometry for a Monocular Camera. | Jakob J. Engel, Jrgen Sturm, Daniel Cremers |
| 2013 | ICCV | Total Variation Regularization for Functions with Values in a Manifold. | Jan Lellmann, Evgeny Strekalovskiy, Sabrina Koetter, Daniel Cremers |
| 2013 | ICCV | Proportion Priors for Image Sequence Segmentation. | Claudia Nieuwenhuis, Evgeny Strekalovskiy, Daniel Cremers |
| 2013 | ICCV | Elastic Net Constraints for Shape Matching. | Emanuele Rodol, Andrea Torsello, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers |
| 2013 | ICCV | Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences. | Frank Steinbrcker, Christian Kerl, Daniel Cremers |
| 2013 | ICCV | Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs. | Jan Sthmer, Peter Schrder, Daniel Cremers |
| 2013 | ICIP | Depth-adaptive supervoxels for RGB-D video segmentation. | David Weikersdorfer, Alexander Schick, Daniel Cremers |
| 2013 | ICRA | Robust odometry estimation for RGB-D cameras. | Christian Kerl, Jrgen Sturm, Daniel Cremers |
| 2013 | IROS | Dense visual SLAM for RGB-D cameras. | Christian Kerl, Jrgen Sturm, Daniel Cremers |
| 2013 | IROS | FollowMe: Person following and gesture recognition with a quadrocopter. | Tayyab Naseer, Jrgen Sturm, Daniel Cremers |
| 2012 | CVPR | Fast and globally optimal single view reconstruction of curved objects. | Martin R. Oswald, Eno Tppe, Daniel Cremers |
| 2012 | CVPR | A convex representation for the vectorial Mumford-Shah functional. | Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers |
| 2012 | ECCV | Nonmetric Priors for Continuous Multilabel Optimization. | Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers |
| 2012 | ECCV | Wehrli 2.0: An Algorithm for "Tidying up Art". | Nikolai Ufer, Mohamed Souiai, Daniel Cremers |
| 2012 | ECCV | Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency. | Thomas Windheuser, Hiroshi Ishikawa, Daniel Cremers |
| 2012 | FUSION | Box-particle PHD filter for multi-target tracking. | Marek Schikora, Amadou Gning, Lyudmila Mihaylova, Daniel Cremers, Wolfgang Koch |
| 2012 | ICRA | An evaluation of the RGB-D SLAM system. | Felix Endres, Jrgen Hess, Nikolas Engelhard, Jrgen Sturm, Daniel Cremers, Wolfram Burgard |
| 2012 | IROS | Camera-based navigation of a low-cost quadrocopter. | Jakob J. Engel, Jrgen Sturm, Daniel Cremers |
| 2012 | IROS | A benchmark for the evaluation of RGB-D SLAM systems. | Jrgen Sturm, Nikolas Engelhard, Felix Endres, Wolfram Burgard, Daniel Cremers |
| 2012 | IROS | Real-time human motion tracking using multiple depth cameras. | Licong Zhang, Jrgen Sturm, Daniel Cremers, Dongheui Lee |
| 2012 | ICRA | A generalized framework for opening doors and drawers in kitchen environments. | Thomas Rhr, Jrgen Sturm, Dejan Pangercic, Michael Beetz, Daniel Cremers |
| 2011 | CVPR | Total variation for cyclic structures: Convex relaxation and efficient minimization. | Evgeny Strekalovskiy, Daniel Cremers |
| 2011 | FUSION | Sequential Monte Carlo method for the iFilter. | Marek Schikora, Wolfgang Koch, Roy L. Streit, Daniel Cremers |
| 2011 | GI | Pixel-based classification method for detecting unhealthy regions in leaf images. | Satish Madhogaria, Marek Schikora, Wolfgang Koch, Daniel Cremers |
| 2011 | ICASSP | Multi-object tracking via high accuracy optical flowand finite set statistics. | Marek Schikora, Wolfgang Koch, Daniel Cremers |
| 2011 | ICCV | Decoupling photometry and geometry in dense variational camera calibration. | Mathieu Aubry, Kalin Kolev, Bastian Goldlcke, Daniel Cremers |
| 2011 | ICCV | Introducing total curvature for image processing. | Bastian Goldlcke, Daniel Cremers |
| 2011 | ICCV | A convex framework for image segmentation with moment constraints. | Maria Klodt, Daniel Cremers |
| 2011 | ICCV | Generalized ordering constraints for multilabel optimization. | Evgeny Strekalovskiy, Daniel Cremers |
| 2011 | ICCV | Tight convex relaxations for vector-valued labeling problems. | Evgeny Strekalovskiy, Bastian Goldlcke, Daniel Cremers |
| 2011 | ICCV | Geometrically consistent elastic matching of 3D shapes: A linear programming solution. | Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers |
| 2010 | ACCV | Image-Based 3D Modeling via Cheeger Sets. | Eno Tppe, Martin R. Oswald, Daniel Cremers, Carsten Rother |
| 2010 | CVPR | An approach to vectorial total variation based on geometric measure theory. | Bastian Goldlcke, Daniel Cremers |
| 2010 | ECCV | Convex Relaxation for Multilabel Problems with Product Label Spaces. | Bastian Goldlcke, Daniel Cremers |
| 2010 | ECCV | Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo. | Kalin Kolev, Thomas Pock, Daniel Cremers |
| 2010 | ECCV | Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera. | Jan Sthmer, Stefan Gumhold, Daniel Cremers |
| 2010 | FUSION | Passive multi-object localization and tracking using bearing data. | Marek Schikora, Daniel Bender, Daniel Cremers, Wolfgang Koch |
| 2010 | GI | Probabilistic Classification of Disease symptoms caused by Salmonella on Arabidopsis Plants. | Marek Schikora, Adam Schikora, Karl-Heinz Kogel, Wolfgang Koch, Daniel Cremers |
| 2009 | BMVC | Anisotropic Huber-L1 Optical Flow. | Manuel Werlberger, Werner Trobin, Thomas Pock, Andreas Wedel, Daniel Cremers, Horst Bischof |
| 2009 | CVPR | Continuous ratio optimization via convex relaxation with applications to multiview 3D reconstruction. | Kalin Kolev, Daniel Cremers |
| 2009 | CVPR | A convex relaxation approach for computing minimal partitions. | Thomas Pock, Antonin Chambolle, Daniel Cremers, Horst Bischof |
| 2009 | CVPR | Efficient planar graph cuts with applications in Computer Vision. | Frank R. Schmidt, Eno Tppe, Daniel Cremers |
| 2009 | ICCV | Superresolution texture maps for multiview reconstruction. | Bastian Goldlcke, Daniel Cremers |
| 2009 | ICCV | An algorithm for minimizing the Mumford-Shah functional. | Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle |
| 2009 | ICCV | Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation. | Thomas Schoenemann, Fredrik Kahl, Daniel Cremers |
| 2009 | ICCV | Large displacement optical flow computation withoutwarping. | Frank Steinbrcker, Thomas Pock, Daniel Cremers |
| 2009 | ICCV | Structure- and motion-adaptive regularization for high accuracy optic flow. | Andreas Wedel, Daniel Cremers, Thomas Pock, Horst Bischof |
| 2009 | ICCV | Beyond connecting the dots: A polynomial-time algorithm for segmentation and boundary estimation with imprecise user input. | Thomas Windheuser, Thomas Schoenemann, Daniel Cremers |
| 2008 | BMVC | Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces. | Thomas Schoenemann, Frank R. Schmidt, Daniel Cremers |
| 2008 | BMVC | TVSeg - Interactive Total Variation Based Image Segmentation. | Markus Unger, Thomas Pock, Werner Trobin, Daniel Cremers, Horst Bischof |
| 2008 | CVPR | Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions. | Daniel Cremers, Frank R. Schmidt, Frank Barthel |
| 2008 | CVPR | Fast and exact solution of Total Variation models on the GPU. | Thomas Pock, Markus Unger, Daniel Cremers, Horst Bischof |
| 2008 | CVPR | Markerless motion capture of man-machine interaction. | Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Daniel Cremers, Hans-Peter Seidel |
| 2008 | CVPR | High resolution motion layer decomposition using dual-space graph cuts. | Thomas Schoenemann, Daniel Cremers |
| 2008 | CVPR | Globally optimal shape-based tracking in real-time. | Thomas Schoenemann, Daniel Cremers |
| 2008 | CVPR | Matching non-rigidly deformable shapes across images: A globally optimal solution. | Thomas Schoenemann, Daniel Cremers |
| 2008 | ECCV | An Experimental Comparison of Discrete and Continuous Shape Optimization Methods. | Maria Klodt, Thomas Schoenemann, Kalin Kolev, Marek Schikora, Daniel Cremers |
| 2008 | ECCV | Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains. | Kalin Kolev, Daniel Cremers |
| 2008 | ECCV | A Convex Formulation of Continuous Multi-label Problems. | Thomas Pock, Thomas Schoenemann, Gottfried Graber, Horst Bischof, Daniel Cremers |
| 2008 | ECCV | Continuous Energy Minimization Via Repeated Binary Fusion. | Werner Trobin, Thomas Pock, Daniel Cremers, Horst Bischof |
| 2008 | ECCV | Efficient Dense Scene Flow from Sparse or Dense Stereo Data. | Andreas Wedel, Clemens Rabe, Tobi Vaudrey, Thomas Brox, Uwe Franke, Daniel Cremers |
| 2007 | CVPR | Nonlinear Dynamical Shape Priors for Level Set Segmentation. | Daniel Cremers |
| 2007 | IBPRIA | Region-Based Pose Tracking. | Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Joachim Weickert, Lennart Wietzke, Gerald Sommer |
| 2007 | ICCV | Fast Matching of Planar Shapes in Sub-cubic Runtime. | Frank R. Schmidt, Dirk Farin, Daniel Cremers |
| 2007 | ICCV | Globally Optimal Image Segmentation with an Elastic Shape Prior. | Thomas Schoenemann, Daniel Cremers |
| 2007 | ICCV | Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs. | Thomas Schoenemann, Daniel Cremers |
| 2006 | CVPR | Nonparametric Priors on the Space of Joint Intensity Distributions for Non-Rigid Multi-Modal Image Registration. | Daniel Cremers, Christoph Guetter, Chenyang Xu |
| 2006 | ECCV | An Integral Solution to Surface Evolution PDEs Via Geo-cuts. | Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers, Andrew Delong |
| 2006 | ECCV | High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints. | Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel |
| 2006 | ECCV | Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts. | Daniel Cremers, Leo J. Grady |
| 2006 | IWCIA | A Comparison of Shape Matching Methods for Contour Based Pose Estimation. | Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel |
| 2006 | MICCAI | 4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences. | Timo Kohlberger, Daniel Cremers, Mikal Rousson, Ramamani Ramaraj, Gareth Funka-Lea |
| 2006 | SIGGRAPH | GPU histogram computation. | Oliver Fluck, Shmuel Aharon, Daniel Cremers, Mikal Rousson |
| 2005 | MICCAI | Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation. | Mikal Rousson, Daniel Cremers |
| 2004 | CVPR | Shedding Light on Stereoscopic Segmentation. | Hailin Jin, Daniel Cremers, Anthony J. Yezzi, Stefano Soatto |
| 2004 | ECCV | Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. | Daniel Cremers, Nir A. Sochen, Christoph Schnrr |
| 2003 | CVPR | A Variational Framework for Image Segmentation Combining Motion Estimation and Shape Regularization. | Daniel Cremers |
| 2003 | ICCV | Variational Space-Time Motion Segmentation. | Daniel Cremers, Stefano Soatto |
| 2003 | ICCV | Dynamic Texture Segmentation. | Gianfranco Doretto, Daniel Cremers, Paolo Favaro, Stefano Soatto |
| 2002 | ECCV | Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. | Daniel Cremers, Timo Kohlberger, Christoph Schnrr |