Daniel Cremers

851 papers A* 151A 43B 6C 7Misc 7Journal 411Unranked 200

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Integer Linear Programming Approach to Geometrically Consistent Partial-Partial Shape Matching. CoRR Viktoria Ehm, Paul Roetzer, Florian Bernard, Daniel Cremers
2026	J	`jnl`	DIAMOND-SSS: Diffusion-Augmented Multi-View Optimization for Data-efficient SubSurface Scattering. CoRR Guillermo Figueroa-Araneda, Iris Diana Jimenez, Florian Hofherr, Manny Ko, Héctor Andrade-Loarca, Daniel Cremers
2026	J	`jnl`	Dream-SLAM: Dreaming the Unseen for Active SLAM in Dynamic Environments. CoRR Xiangqi Meng, Pengxu Hou, Zhenjun Zhao, Javier Civera, Daniel Cremers, Hesheng Wang, Haoang Li
2026	J	`jnl`	DrivIng: A Large-Scale Multimodal Driving Dataset with Full Digital Twin Integration. CoRR Dominik Rößle, Xujun Xie, Adithya Mohan, Venkatesh Thirugnana Sambandham, Daniel Cremers, Torsten Schön
2026	J	`jnl`	Flow4R: Unifying 4D Reconstruction and Tracking with Scene Flow. CoRR Shenhan Qian, Ganlin Zhang, Shangzhe Wu, Daniel Cremers
2026	J	`jnl`	GMT: Goal-Conditioned Multimodal Transformer for 6-DOF Object Trajectory Synthesis in 3D Scenes. CoRR Huajian Zeng, Abhishek Saroha, Daniel Cremers, Xi Wang
2026	J	`jnl`	Generative Shape Reconstruction with Geometry-Guided Langevin Dynamics. CoRR Linus Härenstam-Nielsen, Dmitrii Pozdeev, Thomas Dagès, Nikita Araslanov, Daniel Cremers
2026	J	`jnl`	GeodesicNVS: Probability Density Geodesic Flow Matching for Novel View Synthesis. CoRR Xuqin Wang, Tao Wu, Yanfeng Zhang, Lu Liu, Mingwei Sun, Yongliang Wang, Niclas Zeller, Daniel Cremers
2026	A*	`conf`	HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction (Abstract Reprint). AAAI Wei Zhang, Qing Cheng, David Skuddis, Niclas Zeller, Daniel Cremers, Norbert Haala
2026	J	`jnl`	Harnessing Data Asymmetry: Manifold Learning in the Finsler World. CoRR Thomas Dagès, Simon Weber, Daniel Cremers, Ron Kimmel
2026	J	`jnl`	INSID3: Training-Free In-Context Segmentation with DINOv3. CoRR Claudia Cuttano, Gabriele Trivigno, Christoph Reich, Daniel Cremers, Carlo Masone, Stefan Roth
2026	J	`jnl`	NOVA3R: Non-pixel-aligned Visual Transformer for Amodal 3D Reconstruction. CoRR Weirong Chen, Chuanxia Zheng, Ganlin Zhang, Andrea Vedaldi, Daniel Cremers
2026	J	`jnl`	RINO: Rotation-Invariant Non-Rigid Correspondences. CoRR Maolin Gao, Shao Jie Hu-Chen, Congyue Deng, Riccardo Marin, Leonidas J. Guibas, Daniel Cremers
2026	J	`jnl`	SNI-SLAM++: Tightly-Coupled Semantic Neural Implicit SLAM. IEEE Trans. Pattern Anal. Mach. Intell. Siting Zhu, Guangming Wang, Hermann Blum, Zhong Wang, Ganlin Zhang, Daniel Cremers, Marc Pollefeys, Hesheng Wang
2026	J	`jnl`	SafeLand: Safe Autonomous Landing in Unknown Environments with Bayesian Semantic Mapping. CoRR Markus Gross, Andreas Greiner, Sai Bharadhwaj Matha, Felix Soest, Daniel Cremers, Henri Meeß
2026	J	`jnl`	SegFly: A 2D-3D-2D Paradigm for Aerial RGB-Thermal Semantic Segmentation at Scale. CoRR Markus Gross, Sai B. Matha, Rui Song, Viswanathan Muthuveerappan, Conrad Christoph, Julius Huber, Daniel Cremers
2026	J	`jnl`	Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas. CoRR Felix Wimbauer, Fabian Manhardt, Michael Oechsle, Nikolai Kalischek, Christian Rupprecht, Daniel Cremers, Federico Tombari
2026	J	`jnl`	TARGO and TARGO-Net: Benchmarking Target-Driven Object Grasping Under Occlusions. Int. J. Comput. Vis. Yan Xia, Ran Ding, Ziyuan Qin, Guanqi Zhan, Kaichen Zhou, Long Yang, Hao Dong, Daniel Cremers
2026	J	`jnl`	Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models. CoRR Niklas Schweiger, Daniel Cremers, Karnik Ram
2025	A*	`conf`	4Deform: Neural Surface Deformation for Robust Shape Interpolation. CVPR Lu Sang, Zehranaz Canfes, Dongliang Cao, Riccardo Marin, Florian Bernard, Daniel Cremers
2025	J	`jnl`	4Deform: Neural Surface Deformation for Robust Shape Interpolation. CoRR Lu Sang, Zehranaz Canfes, Dongliang Cao, Riccardo Marin, Florian Bernard, Daniel Cremers
2025	J	`jnl`	4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions. Int. J. Comput. Vis. Patrick Wenzel, Nan Yang, Rui Wang, Niclas Zeller, Daniel Cremers
2025	—	`conf`	Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach. ITSC Adithya Mohan, Dominik Rößle, Daniel Cremers, Torsten Schön
2025	J	`jnl`	Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach. CoRR Adithya Mohan, Dominik Rößle, Daniel Cremers, Torsten Schön
2025	A*	`conf`	AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos. CVPR Felix Wimbauer, Weirong Chen, Dominik Muhle, Christian Rupprecht, Daniel Cremers
2025	J	`jnl`	AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos. CoRR Felix Wimbauer, Weirong Chen, Dominik Muhle, Christian Rupprecht, Daniel Cremers
2025	J	`jnl`	ArtiBench and ArtiBrain: Benchmarking Generalizable Vision-Language Articulated Object Manipulation. CoRR Yuhan Wu, Tiantian Wei, Shuo Wang, Zhichao Wang, Yanyong Zhang, Daniel Cremers, Yan Xia
2025	J	`jnl`	Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction. CoRR Weirong Chen, Ganlin Zhang, Felix Wimbauer, Rui Wang, Nikita Araslanov, Andrea Vedaldi, Daniel Cremers
2025	J	`jnl`	Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Surface Matching Algorithms. Comput. Graph. Forum Viktoria Ehm, Nafie El Amrani, Yizheng Xie, Lennart Bastian, M. Gao, W. Wang, Lu Sang, Dongliang Cao, Tobias Weißberg, Zorah Lähner, Daniel Cremers, Florian Bernard
2025	—	`conf`	CSG-Fusion: Consistent Sparse-View Gaussian Splatting via Matching-based Fusion. ICCVW Yan Xia, Wenbo Ji, Weirong Chen, Daniel Cremers
2025	—	`conf`	CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences. 3DV Huajian Zeng, Maolin Gao, Daniel Cremers
2025	—	`conf`	CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry. DAGM GCPR Jingchao Xie, Oussema Dhaouadi, Weirong Chen, Johannes Meier, Jacques Kaiser, Daniel Cremers
2025	J	`jnl`	CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry. CoRR Jingchao Xie, Oussema Dhaouadi, Weirong Chen, Johannes Meier, Jacques Kaiser, Daniel Cremers
2025	J	`jnl`	ControlEvents: Controllable Synthesis of Event Camera Datawith Foundational Prior from Image Diffusion Models. CoRR Yixuan Hu, Yuxuan Xue, Simon Klenk, Daniel Cremers, Gerard Pons-Moll
2025	J	`jnl`	Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images. CoRR Philipp Wulff, Felix Wimbauer, Dominik Muhle, Daniel Cremers
2025	J	`jnl`	ECHO: Ego-Centric modeling of Human-Object interactions. CoRR Ilia A. Petrov, Vladimir Guzov, Riccardo Marin, Emre Aksan, Xu Chen, Daniel Cremers, Thabo Beeler, Gerard Pons-Moll
2025	A*	`conf`	EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection. CVPR Yizheng Xie, Viktoria Ehm, Paul Roetzer, Nafie El Amrani, Maolin Gao, Florian Bernard, Daniel Cremers
2025	J	`jnl`	FacaDiffy: Inpainting Unseen Facade Parts Using Diffusion Models. CoRR Thomas Froech, Olaf Wysocki, Yan Xia, Junyu Xie, Benedikt Schwab, Daniel Cremers, Thomas H. Kolbe
2025	J	`jnl`	Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion. CoRR Aleksandar Jevtic, Christoph Reich, Felix Wimbauer, Oliver Hahn, Christian Rupprecht, Stefan Roth, Daniel Cremers
2025	A*	`conf`	Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. CVPR Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025	J	`jnl`	Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. CoRR Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025	J	`jnl`	FlowFeat: Pixel-Dense Embedding of Motion Profiles. CoRR Nikita Araslanov, Anna Sonnweber, Daniel Cremers
2025	J	`jnl`	GAS-NeRF: Geometry-Aware Stylization of Dynamic Radiance Fields. CoRR Nhat Phuong Anh Vu, Abhishek Saroha, Or Litany, Daniel Cremers
2025	J	`jnl`	GECO: Geometrically Consistent Embedding with Lightspeed Inference. CoRR Regine Hartwig, Dominik Muhle, Riccardo Marin, Daniel Cremers
2025	J	`jnl`	GrounDiff: Diffusion-Based Ground Surface Generation from Digital Surface Models. CoRR Oussema Dhaouadi, Johannes Meier, Jacques Kaiser, Daniel Cremers
2025	A*	`conf`	Ground-Aware Automotive Radar Odometry. ICRA Daniel Casado Herraez, Franz Kaschner, Matthias Zeller, Dominik Muhle, Jens Behley, Michael Heidingsfeld, Daniel Cremers, Cyrill Stachniss
2025	J	`jnl`	HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction. IEEE Trans. Robotics Wei Zhang, Qing Cheng, David Skuddis, Niclas Zeller, Daniel Cremers, Norbert Haala
2025	A*	`conf`	Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching. CVPR Paul Roetzer, Viktoria Ehm, Daniel Cremers, Zorah Lähner, Florian Bernard
2025	J	`jnl`	Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset. CoRR Oussema Dhaouadi, Johannes Meier, Luca Wahl, Jacques Kaiser, Luca Scalerandi, Nick Wandelburg, Zhuolun Zhou, Nijanthan Berinpanathan, Holger Banzhaf, Daniel Cremers
2025	J	`jnl`	IDEAL-M3D: Instance Diversity-Enriched Active Learning for Monocular 3D Detection. CoRR Johannes Meier, Florian Günther, Riccardo Marin, Oussema Dhaouadi, Jacques Kaiser, Daniel Cremers
2025	J	`jnl`	IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals. CoRR Markus Gross, Aya Fahmy, Danit Niwattananan, Dominik Muhle, Rui Song, Daniel Cremers, Henri Meeß
2025	A*	`conf`	Implicit Neural Surface Deformation with Explicit Velocity Fields. ICLR Lu Sang, Zehranaz Canfes, Dongliang Cao, Florian Bernard, Daniel Cremers
2025	J	`jnl`	Implicit Neural Surface Deformation with Explicit Velocity Fields. CoRR Lu Sang, Zehranaz Canfes, Dongliang Cao, Florian Bernard, Daniel Cremers
2025	A*	`conf`	It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data. CVPR Dominik Schnaus, Nikita Araslanov, Daniel Cremers
2025	J	`jnl`	It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data. CoRR Dominik Schnaus, Nikita Araslanov, Daniel Cremers
2025	—	`conf`	LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain Translation. DAGM GCPR Xuqin Wang, Tao Wu, Yanfeng Zhang, Lu Liu, Dong Wang, Mingwei Sun, Yongliang Wang, Niclas Zeller, Daniel Cremers
2025	J	`jnl`	LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain Translation. CoRR Xuqin Wang, Tao Wu, Yanfeng Zhang, Lu Liu, Dong Wang, Mingwei Sun, Yongliang Wang, Niclas Zeller, Daniel Cremers
2025	J	`jnl`	LeAD-M3D: Leveraging Asymmetric Distillation for Real-time Monocular 3D Detection. CoRR Johannes Meier, Jonathan Michel, Oussema Dhaouadi, Yung-Hsu Yang, Christoph Reich, Zuria Bauer, Stefan Roth, Marc Pollefeys, Jacques Kaiser, Daniel Cremers
2025	J	`jnl`	Learning Eigenstructures of Unstructured Data Manifolds. CoRR Roy Velich, Arkadi Piven, David Bensaïd, Daniel Cremers, Thomas Dagès, Ron Kimmel
2025	J	`jnl`	LiFMCR: Dataset and Benchmark for Light Field Multi-Camera Registration. CoRR Aymeric Fleith, Julian Zirbel, Daniel Cremers, Niclas Zeller
2025	—	`conf`	LiFMCR: Dataset and Benchmark for Light Field Multi-camera Registration. ISVC (1) Aymeric Fleith, Julian Zirbel, Daniel Cremers, Niclas Zeller
2025	A*	`conf`	Localizing Events in Videos with Multimodal Queries. CVPR Gengyuan Zhang, Mang Ling Ada Fok, Jialu Ma, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
2025	J	`jnl`	MA-DV$^{2}$F: A Multi-Agent Navigation Framework Using Dynamic Velocity Vector Field. IEEE Robotics Autom. Lett. Yining Ma, Qadeer Khan, Daniel Cremers
2025	J	`jnl`	Methodology for creation of labeled image datasets of entrained air voids and aggregates in concrete surfaces using confocal laser scanning microscopy. Adv. Eng. Informatics Viktor Kostic, Qadeer Khan, Daniel Cremers, Jithender Timothy, Thomas Kränkel, Christoph Gehlen
2025	A*	`conf`	MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models. ICRA Johannes Meier, Louis Inchingolo, Oussema Dhaouadi, Yan Xia, Jacques Kaiser, Daniel Cremers
2025	J	`jnl`	MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models. CoRR Johannes Meier, Louis Inchingolo, Oussema Dhaouadi, Yan Xia, Jacques Kaiser, Daniel Cremers
2025	—	`conf`	Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery. ICCVW Xinrui Gong, Oliver Hahn, Christoph Reich, Krishnakant Singh, Simone Schaub-Meyer, Daniel Cremers, Stefan Roth
2025	J	`jnl`	Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery. CoRR Xinrui Gong, Oliver Hahn, Christoph Reich, Krishnakant Singh, Simone Schaub-Meyer, Daniel Cremers, Stefan Roth
2025	A*	`conf`	Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction. CVPR Cecilia Curreli, Dominik Muhle, Abhishek Saroha, Zhenzhang Ye, Riccardo Marin, Daniel Cremers
2025	J	`jnl`	Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction. CoRR Cecilia Curreli, Dominik Muhle, Abhishek Saroha, Zhenzhang Ye, Riccardo Marin, Daniel Cremers
2025	J	`jnl`	OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion. CoRR Shuhao Kang, Martin Y. Liao, Yan Xia, Olaf Wysocki, Boris Jutzi, Daniel Cremers
2025	J	`jnl`	OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective. CoRR Markus Gross, Sai B. Matha, Aya Fahmy, Rui Song, Daniel Cremers, Henri Meess
2025	A	`conf`	On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches. WACV Florian Hofherr, Bjoern Haefner, Daniel Cremers
2025	J	`jnl`	On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches. CoRR Florian Hofherr, Bjoern Haefner, Daniel Cremers
2025	J	`jnl`	OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata. CoRR Oussema Dhaouadi, Riccardo Marin, Johannes Meier, Jacques Kaiser, Daniel Cremers
2025	J	`jnl`	PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation. CoRR Lei Cheng, Mahdi Saleh, Qing Cheng, Lu Sang, Hongli Xu, Daniel Cremers, Federico Tombari
2025	A*	`conf`	PRaDA: Projective Radial Distortion Averaging. CVPR Daniil Sinitsyn, Linus Härenstam-Nielsen, Daniel Cremers
2025	J	`jnl`	PRaDA: Projective Radial Distortion Averaging. CoRR Daniil Sinitsyn, Linus Härenstam-Nielsen, Daniel Cremers
2025	—	`ed.`	Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part I GCPR (1) Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel
2025	—	`ed.`	Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part II GCPR (2) Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel
2025	J	`jnl`	ProBA: Probabilistic Bundle Adjustment with the Bhattacharyya Coefficient. CoRR Jason Chui, Daniel Cremers
2025	J	`jnl`	Prototype Augmented Hypernetworks for Continual Learning. CoRR Neil De La Fuente, Maria Pilligua, Daniel Vidal, Albin Soutiff, Cecilia Curreli, Daniel Cremers, Andrey Barsky
2025	—	`conf`	RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning. CVPR Workshops Yuan Luo, Rudolf Hoffmann, Yan Xia, Olaf Wysocki, Benedikt Schwab, Thomas H. Kolbe, Daniel Cremers
2025	J	`jnl`	RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning. CoRR Yuan Luo, Rudolf Hoffmann, Yan Xia, Olaf Wysocki, Benedikt Schwab, Thomas H. Kolbe, Daniel Cremers
2025	A*	`conf`	Scene-Centric Unsupervised Panoptic Segmentation. CVPR Oliver Hahn, Christoph Reich, Nikita Araslanov, Daniel Cremers, Christian Rupprecht, Stefan Roth
2025	J	`jnl`	Scene-Centric Unsupervised Panoptic Segmentation. CoRR Oliver Hahn, Christoph Reich, Nikita Araslanov, Daniel Cremers, Christian Rupprecht, Stefan Roth
2025	A*	`conf`	Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation. CVPR Reza Qorbani, Gianluca Villani, Theodoros Panagiotakopoulos, Marc Botet Colomer, Linus Härenstam-Nielsen, Mattia Segù, Pier Luigi Dovesi, Jussi Karlgren, Daniel Cremers, Federico Tombari, Matteo Poggi
2025	J	`jnl`	Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation. CoRR Reza Qorbani, Gianluca Villani, Theodoros Panagiotakopoulos, Marc Botet Colomer, Linus Härenstam-Nielsen, Mattia Segù, Pier Luigi Dovesi, Jussi Karlgren, Daniel Cremers, Federico Tombari, Matteo Poggi
2025	J	`jnl`	Shape Your Ground: Refining Road Surfaces Beyond Planar Representations. CoRR Oussema Dhaouadi, Johannes Meier, Jacques Kaiser, Daniel Cremers
2025	J	`jnl`	SparseAlign: A Fully Sparse Framework for Cooperative Object Detection. CoRR Yunshuang Yuan, Yan Xia, Daniel Cremers, Monika Sester
2025	A*	`conf`	SparseAlign: a Fully Sparse Framework for Cooperative Object Detection. CVPR Yunshuang Yuan, Yan Xia, Daniel Cremers, Monika Sester
2025	J	`jnl`	Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language. CoRR Yan Xia, Letian Shi, Yilin Di, João F. Henriques, Daniel Cremers
2025	A	`conf`	The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking. IROS Mateo de Mayo, Daniel Cremers, Taihú Pire
2025	J	`jnl`	The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking. CoRR Mateo de Mayo, Daniel Cremers, Taihú Pire
2025	J	`jnl`	True Multimodal In-Context Learning Needs Attention to the Visual Context. CoRR Shuo Chen, Jianzhe Liu, Zhen Han, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
2025	A*	`conf`	TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route. EMNLP Hongyi Luo, Qing Cheng, Daniel Matos, Hari Krishna Gadi, Yanfeng Zhang, Lu Liu, Yongliang Wang, Niclas Zeller, Daniel Cremers, Liqiu Meng
2025	J	`jnl`	TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route. CoRR Hongyi Luo, Qing Cheng, Daniel Matos, Hari Krishna Gadi, Yanfeng Zhang, Lu Liu, Yongliang Wang, Niclas Zeller, Daniel Cremers, Liqiu Meng
2025	J	`jnl`	TwoSquared: 4D Generation from 2D Image Pairs. CoRR Lu Sang, Zehranaz Canfes, Dongliang Cao, Riccardo Marin, Florian Bernard, Daniel Cremers
2025	J	`jnl`	UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception. CoRR Karthikeyan Chandra Sekaran, Markus Geisler, Dominik Rößle, Adithya Mohan, Daniel Cremers, Wolfgang Utschick, Michael Botsch, Werner Huber, Torsten Schön
2025	—	`conf`	VXP: Voxel-Cross-Pixel Large-Scale Camera-LiDAR Place Recognition. 3DV Yun-Jin Li, Mariia Gladkova, Yan Xia, Rui Wang, Daniel Cremers
2025	J	`jnl`	ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association. CoRR Ganlin Zhang, Shenhan Qian, Xi Wang, Daniel Cremers
2025	J	`jnl`	VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis. IEEE Robotics Autom. Lett. Sen Wang, Qing Cheng, Stefano Gasperini, Wei Zhang, Shun-Cheng Wu, Niclas Zeller, Daniel Cremers, Nassir Navab
2025	J	`jnl`	When and Where do Events Switch in Multi-Event Video Generation? CoRR Ruotong Liao, Guowen Huang, Qing Cheng, Thomas Seidl, Daniel Cremers, Volker Tresp
2025	A	`conf`	ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset. WACV Olaf Wysocki, Yue Tan, Thomas Froech, Yan Xia, Magdalena Wysocki, Ludwig Hoegner, Daniel Cremers, Christoph Holst
2025	J	`jnl`	ZDySS - Zero-Shot Dynamic Scene Stylization using Gaussian Splatting. CoRR Abhishek Saroha, Florian Hofherr, Mariia Gladkova, Cecilia Curreli, Or Litany, Daniel Cremers
2024	—	`conf`	A Perspective on Deep Vision Performance with Standard Image and Video Codecs. CVPR Workshops Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath
2024	J	`jnl`	A Perspective on Deep Vision Performance with Standard Image and Video Codecs. CoRR Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath
2024	A*	`conf`	An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment. ICLR Sergei Solonets, Daniil Sinitsyn, Lukas von Stumberg, Nikita Araslanov, Daniel Cremers
2024	A*	`conf`	An Image is Worth 32 Tokens for Reconstruction and Generation. NeurIPS Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024	J	`jnl`	An Image is Worth 32 Tokens for Reconstruction and Generation. CoRR Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024	J	`jnl`	Beyond Complete Shapes: A Quantitative Evaluation of 3D Shape Matching Algorithms. CoRR Viktoria Ehm, Nafie El Amrani, Yizheng Xie, Lennart Bastian, Maolin Gao, Weikang Wang, Lu Sang, Dongliang Cao, Zorah Lähner, Daniel Cremers, Florian Bernard
2024	A*	`conf`	Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation. CVPR Keonhee Han, Dominik Muhle, Felix Wimbauer, Daniel Cremers
2024	J	`jnl`	Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation. CoRR Keonhee Han, Dominik Muhle, Felix Wimbauer, Daniel Cremers
2024	—	`conf`	CARLA Drone: Monocular 3D Object Detection from a Different Perspective. GCPR (2) Johannes Meier, Luca Scalerandi, Oussema Dhaouadi, Jacques Kaiser, Nikita Araslanov, Daniel Cremers
2024	J	`jnl`	CARLA Drone: Monocular 3D Object Detection from a Different Perspective. CoRR Johannes Meier, Luca Scalerandi, Oussema Dhaouadi, Jacques Kaiser, Nikita Araslanov, Daniel Cremers
2024	A*	`conf`	Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CVPR Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang
2024	J	`jnl`	CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences. CoRR Huajian Zeng, Maolin Gao, Daniel Cremers
2024	—	`conf`	Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography. GCPR (2) Dávid Komorowicz, Lu Sang, Ferdinand Maiwald, Daniel Cremers
2024	—	`conf`	Deep Event Visual Odometry. 3DV Simon Klenk, Marvin Motzet, Lukas Koestler, Daniel Cremers
2024	—	`conf`	Deep Video Codec Control for Vision Models. CVPR Workshops Christoph Reich, Biplob Debnath, Deep Patel, Tim Prangemeier, Daniel Cremers, Srimat Chakradhar
2024	—	`conf`	DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting. ECCV (73) Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers
2024	J	`jnl`	DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting. CoRR Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers
2024	J	`jnl`	DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair. CoRR Weihang Li, Weirong Chen, Shenhan Qian, Jiajie Chen, Daniel Cremers, Haoang Li
2024	A	`conf`	Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization. AISTATS Zhenzhang Ye, Gabriel Peyré, Daniel Cremers, Pierre Ablin
2024	J	`jnl`	Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization. CoRR Zhenzhang Ye, Gabriel Peyré, Daniel Cremers, Pierre Ablin
2024	A	`conf`	Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. WACV Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp
2024	—	`conf`	Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations. GCPR (1) Lu Sang, Abhishek Saroha, Maolin Gao, Daniel Cremers
2024	J	`jnl`	Enhancing the Performance of Multi-Vehicle Navigation in Unstructured Environments using Hard Sample Mining. CoRR Yining Ma, Ang Li, Qadeer Khan, Daniel Cremers
2024	—	`conf`	Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis. GCPR (2) Mreenav Shyam Deka, Lu Sang, Daniel Cremers
2024	—	`conf`	Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR. Bildverarbeitung für die Medizin Moritz Zaiss, Junaid R. Rajput, Hoai Nam Dang, Vladimir Golkov, Daniel Cremers, Florian Knoll, Andreas K. Maier
2024	A	`conf`	FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions. WACV Tarun Yenamandra, Ayush Tewari, Nan Yang, Florian Bernard, Christian Theobalt, Daniel Cremers
2024	A*	`conf`	Finsler-Laplace-Beltrami Operators with Application to Shape Analysis. CVPR Simon Weber, Thomas Dagès, Maolin Gao, Daniel Cremers
2024	J	`jnl`	Finsler-Laplace-Beltrami Operators with Application to Shape Analysis. CoRR Simon Weber, Thomas Dagès, Maolin Gao, Daniel Cremers
2024	J	`jnl`	Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar\'e Ball. CoRR Simon Weber, Baris Zöngür, Nikita Araslanov, Daniel Cremers
2024	A*	`conf`	Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball. CVPR Simon Weber, Baris Zöngür, Nikita Araslanov, Daniel Cremers
2024	—	`conf`	Gaussian Splatting in Style. GCPR (2) Abhishek Saroha, Mariia Gladkova, Cecilia Curreli, Dominik Muhle, Tarun Yenamandra, Daniel Cremers
2024	J	`jnl`	Gaussian Splatting in Style. CoRR Abhishek Saroha, Mariia Gladkova, Cecilia Curreli, Tarun Yenamandra, Daniel Cremers
2024	—	`conf`	Geometrically Consistent Partial Shape Matching. 3DV Viktoria Ehm, Paul Roetzer, Marvin Eisenberger, Maolin Gao, Florian Bernard, Daniel Cremers
2024	—	`conf`	GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation. ECCV (59) Bangyan Liao, Zhenjun Zhao, Lu Chen, Haoang Li, Daniel Cremers, Peidong Liu
2024	J	`jnl`	GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation. CoRR Bangyan Liao, Zhenjun Zhao, Lu Chen, Haoang Li, Daniel Cremers, Peidong Liu
2024	J	`jnl`	HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction. CoRR Wei Zhang, Qing Cheng, David Skuddis, Niclas Zeller, Daniel Cremers, Norbert Haala
2024	A*	`conf`	HoloNets: Spectral Convolutions do extend to Directed Graphs. ICLR Christian Koke, Daniel Cremers
2024	J	`jnl`	How to Choose a Reinforcement-Learning Algorithm. CoRR Fabian Bongratz, Vladimir Golkov, Lukas Mautner, Luca Della Libera, Frederik Heetmeyer, Felix Czaja, Julian Rodemann, Daniel Cremers
2024	J	`jnl`	Image Segmentation in Foundation Model Era: A Survey. CoRR Tianfei Zhou, Fei Zhang, Boyu Chang, Wenguan Wang, Ye Yuan, Ender Konukoglu, Daniel Cremers
2024	J	`jnl`	Interactions Across Blocks in Post-Training Quantization of Large Language Models. CoRR Khasmamad Shabanovi, Lukas Wiest, Vladimir Golkov, Daniel Cremers, Thomas Pfeil
2024	—	`conf`	LiFCal: Online Light Field Camera Calibration via Bundle Adjustment. GCPR (2) Aymeric Fleith, Doaa Ahmed, Daniel Cremers, Niclas Zeller
2024	J	`jnl`	LiFCal: Online Light Field Camera Calibration via Bundle Adjustment. CoRR Aymeric Fleith, Doaa Ahmed, Daniel Cremers, Niclas Zeller
2024	J	`jnl`	Localizing Events in Videos with Multimodal Queries. CoRR Gengyuan Zhang, Mang Ling Ada Fok, Yan Xia, Yansong Tang, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
2024	J	`jnl`	MA-DV2F: A Multi-Agent Navigation Framework using Dynamic Velocity Vector Field. CoRR Yining Ma, Qadeer Khan, Daniel Cremers
2024	—	`conf`	MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. ECCV (39) Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool
2024	J	`jnl`	MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. CoRR Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool
2024	J	`jnl`	MaskBit: Embedding-free Image Generation via Bit Tokens. CoRR Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024	J	`jnl`	MaskBit: Embedding-free Image Generation via Bit Tokens. Trans. Mach. Learn. Res. Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024	A	`conf`	Masked Event Modeling: Self-Supervised Pretraining for Event Cameras. WACV Simon Klenk, David Bonello, Lukas Koestler, Nikita Araslanov, Daniel Cremers
2024	J	`jnl`	MeshFeat: Multi-Resolution Features for Neural Fields on Meshes. CoRR Mihir Mahajan, Florian Hofherr, Daniel Cremers
2024	—	`conf`	MeshFeat: Multi-resolution Features for Neural Fields on Meshes. ECCV (29) Mihir Mahajan, Florian Hofherr, Daniel Cremers
2024	J	`jnl`	Multi-vehicle trajectory prediction and control at intersections using state and intention information. Neurocomputing Dekai Zhu, Qadeer Khan, Daniel Cremers
2024	J	`jnl`	PG-SLAM: Photo-realistic and Geometry-aware RGB-D SLAM in Dynamic Environments. CoRR Haoang Li, Xiangqi Meng, Xingxing Zuo, Zhe Liu, Hesheng Wang, Daniel Cremers
2024	A*	`conf`	Partial-to-Partial Shape Matching with Geometric Consistency. CVPR Viktoria Ehm, Maolin Gao, Paul Roetzer, Marvin Eisenberger, Daniel Cremers, Florian Bernard
2024	J	`jnl`	Partial-to-Partial Shape Matching with Geometric Consistency. CoRR Viktoria Ehm, Maolin Gao, Paul Roetzer, Marvin Eisenberger, Daniel Cremers, Florian Bernard
2024	A	`conf`	Physically-Based Photometric Bundle Adjustment in Non-Lambertian Environments. IROS Lei Cheng, Junpeng Hu, Haodong Yan, Mariia Gladkova, Tianyu Huang, Yun-Hui Liu, Daniel Cremers, Haoang Li
2024	J	`jnl`	Physically-Based Photometric Bundle Adjustment in Non-Lambertian Environments. CoRR Lei Cheng, Junpeng Hu, Haodong Yan, Mariia Gladkova, Tianyu Huang, Yun-Hui Liu, Daniel Cremers, Haoang Li
2024	—	`conf`	Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment. ECCV (13) Simon Weber, Je Hyeong Hong, Daniel Cremers
2024	J	`jnl`	Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment. CoRR Simon Weber, Je Hyeong Hong, Daniel Cremers
2024	—	`conf`	Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model. ACL (1) Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers
2024	—	`conf`	S4C: Self-Supervised Semantic Scene Completion With Neural Fields. 3DV Adrian Hayler, Felix Wimbauer, Dominik Muhle, Christian Rupprecht, Daniel Cremers
2024	J	`jnl`	SADG: Segment Any Dynamic Gaussian Without Object Trackers. CoRR Yun-Jin Li, Mariia Gladkova, Yan Xia, Daniel Cremers
2024	A*	`conf`	SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation. CVPR Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taixé
2024	J	`jnl`	SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation. CoRR Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taixé
2024	A*	`conf`	Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-Light Photometric Stereo. CVPR Mohammed Brahimi, Bjoern Haefner, Zhenzhang Ye, Bastian Goldluecke, Daniel Cremers
2024	J	`jnl`	Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo. CoRR Mohammed Brahimi, Bjoern Haefner, Zhenzhang Ye, Bastian Goldluecke, Daniel Cremers
2024	A*	`conf`	Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation. CVPR Dongliang Cao, Marvin Eisenberger, Nafie El Amrani, Daniel Cremers, Florian Bernard
2024	J	`jnl`	Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation. CoRR Dongliang Cao, Marvin Eisenberger, Nafie El Amrani, Daniel Cremers, Florian Bernard
2024	A	`conf`	SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering. WACV Mohammed Brahimi, Bjoern Haefner, Tarun Yenamandra, Bastian Goldluecke, Daniel Cremers
2024	J	`jnl`	TARGO: Benchmarking Target-driven Object Grasping under Occlusions. CoRR Yan Xia, Ran Ding, Ziyuan Qin, Guanqi Zhan, Kaichen Zhou, Long Yang, Hao Dong, Daniel Cremers
2024	A*	`conf`	Text2Loc: 3D Point Cloud Localization from Natural Language. CVPR Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers
2024	J	`jnl`	TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes. CoRR Yan Xia, Yunxiang Lu, Rui Song, Oussema Dhaouadi, João F. Henriques, Daniel Cremers
2024	J	`jnl`	Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations. CoRR Christian Tomani, Kamalika Chaudhuri, Ivan Evtimov, Daniel Cremers, Mark Ibrahim
2024	J	`jnl`	UniLoc: Towards Universal Place Recognition Using Any Single Modality. CoRR Yan Xia, Zhendong Li, Yun-Jin Li, Letian Shi, Hu Cao, João F. Henriques, Daniel Cremers
2024	C	`conf`	Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction. IV Dominik Rößle, Jeremias Gerner, Klaus Bogenberger, Daniel Cremers, Stefanie Schmidtner, Torsten Schön
2024	J	`jnl`	Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction. CoRR Dominik Rößle, Jeremias Gerner, Klaus Bogenberger, Daniel Cremers, Stefanie Schmidtner, Torsten Schön
2024	J	`jnl`	VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition. CoRR Yun-Jin Li, Mariia Gladkova, Yan Xia, Rui Wang, Daniel Cremers
2024	A*	`conf`	Variational Learning is Effective for Large Deep Networks. ICML Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2024	J	`jnl`	Variational Learning is Effective for Large Deep Networks. CoRR Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2024	J	`jnl`	Variational Low-Rank Adaptation Using IVON. CoRR Bai Cong, Nico Daheim, Yuesong Shen, Daniel Cremers, Rio Yokota, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2024	J	`jnl`	ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset. CoRR Olaf Wysocki, Yue Tan, Thomas Froech, Yan Xia, Magdalena Wysocki, Ludwig Hoegner, Daniel Cremers, Christoph Holst
2023	J	`jnl`	4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions. CoRR Patrick Wenzel, Nan Yang, Rui Wang, Niclas Zeller, Daniel Cremers
2023	J	`jnl`	A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces. Int. J. Comput. Vis. Zhenzhang Ye, Bjoern Haefner, Yvain Quéau, Thomas Möllenhoff, Daniel Cremers
2023	A*	`conf`	Behind the Scenes: Density Fields for Single View Reconstruction. CVPR Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers
2023	J	`jnl`	Behind the Scenes: Density Fields for Single View Reconstruction. CoRR Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers
2023	A*	`conf`	Beyond In-Domain Scenarios: Robust Density-Aware Calibration. ICML Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers
2023	J	`jnl`	Beyond In-Domain Scenarios: Robust Density-Aware Calibration. CoRR Christian Tomani, Futa Waseda, Yuesong Shen, Daniel Cremers
2023	A*	`conf`	CASSPR: Cross Attention Single Scan Place Recognition. ICCV Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F. Henriques, Daniel Cremers
2023	J	`jnl`	Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CoRR Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang
2023	J	`jnl`	Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography. CoRR Dávid Komorowicz, Lu Sang, Ferdinand Maiwald, Daniel Cremers
2023	A*	`conf`	DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates. ICCV Haoang Li, Jinhu Dong, Binghui Wen, Ming Gao, Tianyu Huang, Yun-Hui Liu, Daniel Cremers
2023	J	`jnl`	Deep Event Visual Odometry. CoRR Simon Klenk, Marvin Motzet, Lukas Koestler, Daniel Cremers
2023	J	`jnl`	E-NeRF: Neural Radiance Fields From a Moving Event Camera. IEEE Robotics Autom. Lett. Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers
2023	J	`jnl`	Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. CoRR Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp
2023	—	`conf`	Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation. ITSC Jeremias Gerner, Dominik Rößle, Daniel Cremers, Klaus Bogenberger, Torsten Schön, Stefanie Schmidtner
2023	J	`jnl`	Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis. CoRR Mreenav Shyam Deka, Lu Sang, Daniel Cremers
2023	A*	`conf`	G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors. CVPR Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
2023	J	`jnl`	Geometrically Consistent Partial Shape Matching. CoRR Viktoria Ehm, Paul Roetzer, Marvin Eisenberger, Maolin Gao, Florian Bernard, Daniel Cremers
2023	A	`conf`	High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. WACV Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers
2023	J	`jnl`	HoloNets: Spectral Convolutions do extend to Directed Graphs. CoRR Christian Koke, Daniel Cremers
2023	J	`jnl`	Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution. CoRR Hoai Nam Dang, Vladimir Golkov, Thomas Wimmer, Daniel Cremers, Andreas K. Maier, Moritz Zaiss
2023	A*	`conf`	Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CVPR Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers
2023	J	`jnl`	Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CoRR Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers
2023	A*	`conf`	Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. ICML Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel
2023	J	`jnl`	Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. CoRR Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel
2023	J	`jnl`	Learning vision based autonomous lateral vehicle control without supervision. Appl. Intell. Qadeer Khan, Idil Sülö, Melis Öcal, Daniel Cremers
2023	—	`conf`	LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels. ITSC Jonathan Schmidt, Qadeer Khan, Daniel Cremers
2023	J	`jnl`	LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels. CoRR Jonathan Schmidt, Qadeer Khan, Daniel Cremers
2023	—	`conf`	Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller. ITSC Yining Ma, Qadeer Khan, Daniel Cremers
2023	J	`jnl`	Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller. CoRR Yining Ma, Qadeer Khan, Daniel Cremers
2023	J	`jnl`	Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information. CoRR Dekai Zhu, Qadeer Khan, Daniel Cremers
2023	A	`conf`	Neural Implicit Representations for Physical Parameter Inference from a Single Video. WACV Florian Hofherr, Lukas Koestler, Florian Bernard, Daniel Cremers
2023	—	`conf`	Non-Separable Multi-Dimensional Network Flows for Visual Computing. Eurographics (Posters) Viktoria Ehm, Daniel Cremers, Florian Bernard
2023	J	`jnl`	Non-Separable Multi-Dimensional Network Flows for Visual Computing. CoRR Viktoria Ehm, Daniel Cremers, Florian Bernard
2023	A*	`conf`	Power Bundle Adjustment for Large-Scale 3D Reconstruction. CVPR Simon Weber, Nikolaus Demmel, Tin Chon Chan, Daniel Cremers
2023	J	`jnl`	Quality Control at Your Fingertips: Quality-Aware Translation Models. CoRR Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Daniel Cremers
2023	J	`jnl`	ResolvNet: A Graph Convolutional Network with multi-scale Consistency. CoRR Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Daniel Cremers
2023	J	`jnl`	Robust Autonomous Vehicle Pursuit Without Expert Steering Labels. IEEE Robotics Autom. Lett. Jiaxin Pan, Changyao Zhou, Mariia Gladkova, Qadeer Khan, Daniel Cremers
2023	J	`jnl`	Robust Autonomous Vehicle Pursuit without Expert Steering Labels. CoRR Jiaxin Pan, Changyao Zhou, Mariia Gladkova, Qadeer Khan, Daniel Cremers
2023	J	`jnl`	S4C: Self-Supervised Semantic Scene Completion with Neural Fields. CoRR Adrian Hayler, Felix Wimbauer, Dominik Muhle, Christian Rupprecht, Daniel Cremers
2023	J	`jnl`	SCP: Scene Completion Pre-training for 3D Object Detection. CoRR Yiming Shan, Yan Xia, Yuhong Chen, Daniel Cremers
2023	J	`jnl`	SIGMA: Scale-Invariant Global Sparse Shape Matching. CoRR Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard
2023	J	`jnl`	Scale-Equivariant Deep Learning for 3D Data. CoRR Thomas Wimmer, Vladimir Golkov, Hoai Nam Dang, Moritz Zaiss, Andreas Maier, Daniel Cremers
2023	—	`conf`	Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks. CVPR Workshops Olaf Wysocki, Yan Xia, Magdalena Wysocki, Eleonora Grilli, Ludwig Hoegner, Daniel Cremers, Uwe Stilla
2023	J	`jnl`	Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks. CoRR Olaf Wysocki, Yan Xia, Magdalena Wysocki, Eleonora Grilli, Ludwig Hoegner, Daniel Cremers, Uwe Stilla
2023	J	`jnl`	Semantic Self-adaptation: Enhancing Generalization with a Single Sample. Trans. Mach. Learn. Res. Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth
2023	A*	`conf`	Semidefinite Relaxations for Robust Multiview Triangulation. CVPR Linus Härenstam-Nielsen, Niclas Zeller, Daniel Cremers
2023	J	`jnl`	Semidefinite Relaxations for Robust Multiview Triangulation. CoRR Linus Härenstam-Nielsen, Niclas Zeller, Daniel Cremers
2023	J	`jnl`	Text2Loc: 3D Point Cloud Localization from Natural Language. CoRR Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers
2023	A*	`conf`	To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. ICCV Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi
2023	J	`jnl`	To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. CoRR Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi
2023	C	`conf`	Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes. IV George Eskandar, Youssef Farag, Tarun Yenamandra, Daniel Cremers, Karim Guirguis, Bin Yang
2023	J	`jnl`	Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes. CoRR George Eskandar, Youssef Farag, Tarun Yenamandra, Daniel Cremers, Karim Guirguis, Bin Yang
2023	J	`jnl`	Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling. CoRR Lu Sang, Abhishek Saroha, Maolin Gao, Daniel Cremers
2023	A*	`conf`	ΣIGMA: Scale-Invariant Global Sparse Shape Matching. ICCV Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard
2022	J	`jnl`	A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs. CoRR Hans Hao-Hsun Hsu, Yuesong Shen, Daniel Cremers
2022	A*	`conf`	A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. CVPR Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard
2022	J	`jnl`	A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. CoRR Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard
2022	A*	`conf`	A Unified Framework for Implicit Sinkhorn Differentiation. CVPR Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers
2022	J	`jnl`	A Unified Framework for Implicit Sinkhorn Differentiation. CoRR Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers
2022	—	`conf`	Biologically Inspired Neural Path Finding. BI Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers
2022	J	`jnl`	Biologically Inspired Neural Path Finding. CoRR Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers
2022	J	`jnl`	CHALLENGER: Training with Attribution Maps. CoRR Christian Tomani, Daniel Cremers
2022	J	`jnl`	DM-VIO: Delayed Marginalization Visual-Inertial Odometry. CoRR Lukas von Stumberg, Daniel Cremers
2022	J	`jnl`	DM-VIO: Delayed Marginalization Visual-Inertial Odometry. IEEE Robotics Autom. Lett. Lukas von Stumberg, Daniel Cremers
2022	A*	`conf`	Deep Combinatorial Aggregation. NeurIPS Yuesong Shen, Daniel Cremers
2022	J	`jnl`	Deep Combinatorial Aggregation. CoRR Yuesong Shen, Daniel Cremers
2022	A	`conf`	DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment. IROS Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljosa Osep, Laura Leal-Taixé, Daniel Cremers
2022	J	`jnl`	DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment. CoRR Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljosa Osep, Laura Leal-Taixé, Daniel Cremers
2022	A*	`conf`	DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CVPR Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çaglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé
2022	J	`jnl`	DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CoRR Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çaglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé
2022	J	`jnl`	E-NeRF: Neural Radiance Fields from a Moving Event Camera. CoRR Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers
2022	B	`conf`	Efficient and Flexible Sublabel-Accurate Energy Minimization. ICPR Zhakshylyk Nurlanov, Daniel Cremers, Florian Bernard
2022	J	`jnl`	Efficient and Flexible Sublabel-Accurate Energy Minimization. CoRR Zhakshylyk Nurlanov, Daniel Cremers, Florian Bernard
2022	J	`jnl`	G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors. CoRR Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
2022	A*	`conf`	Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. CVPR Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers
2022	J	`jnl`	HDSDF: Hybrid Directional and Signed Distance Functions for Fast Inverse Rendering. CoRR Tarun Yenamandra, Ayush Tewari, Nan Yang, Florian Bernard, Christian Theobalt, Daniel Cremers
2022	J	`jnl`	High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. CoRR Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers
2022	J	`jnl`	Implicit Shape Completion via Adversarial Shape Priors. CoRR Abhishek Saroha, Marvin Eisenberger, Tarun Yenamandra, Daniel Cremers
2022	—	`conf`	Intrinsic Neural Fields: Learning Functions on Manifolds. ECCV (2) Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner
2022	J	`jnl`	Intrinsic Neural Fields: Learning Functions on Manifolds. CoRR Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner
2022	A*	`conf`	Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections. AAAI Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers
2022	—	`conf`	Lateral Ego-Vehicle Control Without Supervision Using Point Clouds. ICPRAI (1) Florian Müller, Qadeer Khan, Daniel Cremers
2022	J	`jnl`	Lateral Ego-Vehicle Control without Supervision using Point Clouds. CoRR Florian Müller, Qadeer Khan, Daniel Cremers
2022	J	`jnl`	Learn to Predict Sets Using Feed-Forward Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Hamid Rezatofighi, Tianyu Zhu, Roman Kaskman, Farbod T. Motlagh, Javen Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid
2022	J	`jnl`	Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields. SIAM J. Imaging Sci. Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Möller, Daniel Cremers
2022	J	`jnl`	Masked Event Modeling: Self-Supervised Pretraining for Event Cameras. CoRR Simon Klenk, David Bonello, Nikita Araslanov, Lukas Koestler, Daniel Cremers
2022	J	`jnl`	Neural Implicit Representations for Physical Parameter Inference from a Single Video. CoRR Florian Hofherr, Lukas Koestler, Florian Bernard, Daniel Cremers
2022	Misc	`conf`	PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRL Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
2022	J	`jnl`	PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRR Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
2022	J	`jnl`	PVT3D: Point Voxel Transformers for Place Recognition from Sparse Lidar Scans. CoRR Yan Xia, Mariia Gladkova, Rui Wang, João F. Henriques, Daniel Cremers, Uwe Stilla
2022	—	`conf`	Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. ECCV (13) Christian Tomani, Daniel Cremers, Florian Buettner
2022	—	`ed.`	Pattern Recognition - 44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27-30, 2022, Proceedings GCPR Björn Andres, Florian Bernard, Daniel Cremers, Simone Frintrop, Bastian Goldlücke, Ivo Ihrke
2022	—	`conf`	Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion. ICANN (1) Dominik Rößle, Daniel Cremers, Torsten Schön
2022	J	`jnl`	Power Bundle Adjustment for Large-Scale 3D Reconstruction. CoRR Simon Weber, Nikolaus Demmel, Daniel Cremers
2022	J	`jnl`	Semantic Self-adaptation: Enhancing Generalization with a Single Sample. CoRR Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth
2022	J	`jnl`	SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering. CoRR Mohammed Brahimi, Bjoern Haefner, Tarun Yenamandra, Bastian Goldluecke, Daniel Cremers
2022	A*	`conf`	The Probabilistic Normal Epipolar Constraint for Frame- To-Frame Rotation Optimization under Uncertain Feature Positions. CVPR Dominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard, Daniel Cremers
2022	J	`jnl`	The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions. CoRR Dominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard, Daniel Cremers
2022	J	`jnl`	VPAIR - Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments. CoRR Michael Schleiss, Fahmi Rouatbi, Daniel Cremers
2022	B	`conf`	Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation. ICIP Deepan Das, Qadeer Khan, Daniel Cremers
2022	A*	`conf`	Vision-Based Large-scale 3D Semantic Mapping for Autonomous Driving Applications. ICRA Qing Cheng, Niclas Zeller, Daniel Cremers
2022	J	`jnl`	Vision-based Large-scale 3D Semantic Mapping for Autonomous Driving Applications. CoRR Qing Cheng, Niclas Zeller, Daniel Cremers
2022	A*	`conf`	What Makes Graph Neural Networks Miscalibrated? NeurIPS Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers
2022	J	`jnl`	What Makes Graph Neural Networks Miscalibrated? CoRR Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers
2021	—	`conf`	Bregman Proximal Gradient Algorithms for Deep Matrix Factorization. SSVM Mahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers, Peter Ochs
2021	J	`jnl`	DeepLab2: A TensorFlow Library for Deep Labeling. CoRR Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen
2021	J	`jnl`	Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry. CoRR Ji Yang, Lu Sang, Daniel Cremers
2021	J	`jnl`	Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization. CoRR Jason Chui, Simon Klenk, Daniel Cremers
2021	J	`jnl`	Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification. CoRR Yu Wang, Yuesong Shen, Daniel Cremers
2021	A	`conf`	Explicit pairwise factorized graph neural network for semi-supervised node classification. UAI Yu Wang, Yuesong Shen, Daniel Cremers
2021	J	`jnl`	Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. CoRR Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers
2021	A*	`conf`	Isometric Multi-Shape Matching. CVPR Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard
2021	J	`jnl`	Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections. CoRR Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers
2021	J	`jnl`	Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields. CoRR Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Möller, Daniel Cremers
2021	J	`jnl`	MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. Int. J. Comput. Vis. Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé
2021	A*	`conf`	MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera. CVPR Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers
2021	—	`conf`	Multidirectional Conjugate Gradients for Scalable Bundle Adjustment. GCPR Simon Weber, Nikolaus Demmel, Daniel Cremers
2021	J	`jnl`	Multidirectional Conjugate Gradients for Scalable Bundle Adjustment. CoRR Simon Weber, Nikolaus Demmel, Daniel Cremers
2021	A*	`conf`	NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. CVPR Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi
2021	J	`jnl`	NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. CoRR Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi
2021	J	`jnl`	Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. CoRR Christian Tomani, Daniel Cremers, Florian Buettner
2021	A*	`conf`	Post-Hoc Uncertainty Calibration for Domain Drift Scenarios. CVPR Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner
2021	—	`conf`	Recovering Real-World Reflectance Properties and Shading From HDR Imagery. 3DV Bjoern Haefner, Simon Green, Alan Oursland, Daniel Andersen, Michael Goesele, Daniel Cremers, Richard A. Newcombe, Thomas Whelan
2021	J	`jnl`	Rotation-Equivariant Deep Learning for Diffusion MRI. CoRR Philip Müller, Vladimir Golkov, Valentina Tomassini, Daniel Cremers
2021	A*	`conf`	SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition. CVPR Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla
2021	—	`conf`	STEP: Segmenting and Tracking Every Pixel. NeurIPS Datasets and Benchmarks Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen
2021	J	`jnl`	STEP: Segmenting and Tracking Every Pixel. CoRR Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen
2021	J	`jnl`	Scene Graph Generation for Better Image Captioning? CoRR Maximilian Mozes, Martin Schmitt, Vladimir Golkov, Hinrich Schütze, Daniel Cremers
2021	A	`conf`	Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry. AISTATS Qadeer Khan, Patrick Wenzel, Daniel Cremers
2021	J	`jnl`	Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry. CoRR Qadeer Khan, Patrick Wenzel, Daniel Cremers
2021	—	`conf`	Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis. 3DV Viktoria Ehm, Daniel Cremers, Florian Bernard
2021	J	`jnl`	Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis. CoRR Viktoria Ehm, Daniel Cremers, Florian Bernard
2021	A*	`conf`	Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation. NeurIPS Florian Bernard, Daniel Cremers, Johan Thunberg
2021	J	`jnl`	Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation. CoRR Florian Bernard, Daniel Cremers, Johan Thunberg
2021	A*	`conf`	Square Root Bundle Adjustment for Large-Scale Reconstruction. CVPR Nikolaus Demmel, Christiane Sommer, Daniel Cremers, Vladyslav Usenko
2021	J	`jnl`	Square Root Bundle Adjustment for Large-Scale Reconstruction. CoRR Nikolaus Demmel, Christiane Sommer, Daniel Cremers, Vladyslav Usenko
2021	A*	`conf`	Square Root Marginalization for Sliding-Window Bundle Adjustment. ICCV Nikolaus Demmel, David Schubert, Christiane Sommer, Daniel Cremers, Vladyslav Usenko
2021	J	`jnl`	Square Root Marginalization for Sliding-Window Bundle Adjustment. CoRR Nikolaus Demmel, David Schubert, Christiane Sommer, Daniel Cremers, Vladyslav Usenko
2021	—	`conf`	Sublabel-Accurate Multilabeling Meets Product Label Spaces. GCPR Zhenzhang Ye, Bjoern Haefner, Yvain Quéau, Thomas Möllenhoff, Daniel Cremers
2021	Misc	`conf`	TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo. CoRL Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers
2021	J	`jnl`	TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo. CoRR Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers
2021	A	`conf`	TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset. IROS Simon Klenk, Jason Chui, Nikolaus Demmel, Daniel Cremers
2021	J	`jnl`	TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset. CoRR Simon Klenk, Jason Chui, Nikolaus Demmel, Daniel Cremers
2021	J	`jnl`	Tight Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry. CoRR Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers
2021	A*	`conf`	Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry. ICRA Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers
2021	A	`conf`	Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. IROS Martin Wudenka, Marcus Gerhard Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Stürzl
2021	J	`jnl`	Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. CoRR Martin Wudenka, Marcus Gerhard Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Stürzl
2021	A*	`conf`	Variational Data Assimilation with a Learned Inverse Observation Operator. ICML Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer
2021	J	`jnl`	Variational Data Assimilation with a Learned Inverse Observation Operator. CoRR Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer
2021	A*	`conf`	Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. ICRA Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
2021	J	`jnl`	Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. CoRR Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
2021	A*	`conf`	i3DMM: Deep Implicit 3D Morphable Model of Human Heads. CVPR Tarun Yenamandra, Ayush Tewari, Florian Bernard, Hans-Peter Seidel, Mohamed A. Elgharib, Daniel Cremers, Christian Theobalt
2020	—	`conf`	3D Deep Learning for Biological Function Prediction from Physical Fields. 3DV Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers
2020	—	`conf`	4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving. GCPR Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, Daniel Cremers
2020	J	`jnl`	4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving. CoRR Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, Daniel Cremers
2020	J	`jnl`	Bregman Proximal Mappings and Bregman-Moreau Envelopes Under Relative Prox-Regularity. J. Optim. Theory Appl. Emanuel Laude, Peter Ochs, Daniel Cremers
2020	A*	`conf`	Correspondence-Free Material Reconstruction using Sparse Surface Constraints. CVPR Sebastian Weiss, Robert Maier, Daniel Cremers, Rüdiger Westermann, Nils Thuerey
2020	A*	`conf`	D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. CVPR Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers
2020	J	`jnl`	D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. CoRR Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers
2020	—	`conf`	DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization. ECCV (4) Juan Du, Rui Wang, Daniel Cremers
2020	J	`jnl`	DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization. CoRR Juan Du, Rui Wang, Daniel Cremers
2020	J	`jnl`	Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions. CoRR Vladimir Golkov, Alexander Becker, Daniel T. Plop, Daniel Cuturilo, Neda Davoudi, Jeffrey L. Mendenhall, Rocco Moretti, Jens Meiler, Daniel Cremers
2020	A*	`conf`	Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. NeurIPS Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
2020	J	`jnl`	Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. CoRR Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
2020	J	`jnl`	Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs. CoRR Yuesong Shen, Daniel Cremers
2020	A*	`conf`	DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation. ICRA Rui Wang, Nan Yang, Jörg Stückler, Daniel Cremers
2020	—	`conf`	Distributed Photometric Bundle Adjustment. 3DV Nikolaus Demmel, Maolin Gao, Emanuel Laude, Tao Wu, Daniel Cremers
2020	—	`conf`	Effective Version Space Reduction for Convolutional Neural Networks. ECML/PKDD (2) Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers
2020	J	`jnl`	Effective Version Space Reduction for Convolutional Neural Networks. CoRR Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers
2020	A*	`conf`	Efficient Derivative Computation for Cumulative B-Splines on Lie Groups. CVPR Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers
2020	J	`jnl`	From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. CoRR Christiane Sommer, Yumin Sun, Leonidas J. Guibas, Daniel Cremers, Tolga Birdal
2020	J	`jnl`	From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. IEEE Robotics Autom. Lett. Christiane Sommer, Yumin Sun, Leonidas J. Guibas, Daniel Cremers, Tolga Birdal
2020	J	`jnl`	GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization. IEEE Robotics Autom. Lett. Lukas von Stumberg, Patrick Wenzel, Qadeer Khan, Daniel Cremers
2020	—	`conf`	Hamiltonian Dynamics for Real-World Shape Interpolation. ECCV (4) Marvin Eisenberger, Daniel Cremers
2020	J	`jnl`	Hamiltonian Dynamics for Real-World Shape Interpolation. CoRR Marvin Eisenberger, Daniel Cremers
2020	—	`conf`	Homogeneous Linear Inequality Constraints for Neural Network Activations. CVPR Workshops Thomas Frerix, Matthias Nießner, Daniel Cremers
2020	A	`conf`	Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. WACV Lu Sang, Bjoern Haefner, Daniel Cremers
2020	J	`jnl`	Isometric Multi-Shape Matching. CoRR Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard
2020	—	`conf`	LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization. 3DV Lukas von Stumberg, Patrick Wenzel, Nan Yang, Daniel Cremers
2020	J	`jnl`	LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization. CoRR Lukas von Stumberg, Patrick Wenzel, Nan Yang, Daniel Cremers
2020	J	`jnl`	Learn to Predict Sets Using Feed-Forward Neural Networks. CoRR Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid
2020	—	`conf`	Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels. GCPR Lukas Koestler, Nan Yang, Rui Wang, Daniel Cremers
2020	J	`jnl`	Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels. CoRR Lukas Koestler, Nan Yang, Rui Wang, Daniel Cremers
2020	J	`jnl`	MOT20: A benchmark for multi object tracking in crowded scenes. CoRR Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé
2020	J	`jnl`	MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking. CoRR Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth, Laura Leal-Taixé
2020	J	`jnl`	MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera. CoRR Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers
2020	J	`jnl`	Neural Online Graph Exploration. CoRR Ioannis Chiotellis, Daniel Cremers
2020	J	`jnl`	Non-Rigid Puzzles. CoRR Or Litany, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Daniel Cremers
2020	A	`conf`	Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning. AISTATS Zhenzhang Ye, Thomas Möllenhoff, Tao Wu, Daniel Cremers
2020	J	`jnl`	Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning. CoRR Zhenzhang Ye, Thomas Möllenhoff, Tao Wu, Daniel Cremers
2020	J	`jnl`	Photometric Depth Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Bjoern Haefner, Songyou Peng, Alok Verma, Yvain Quéau, Daniel Cremers
2020	J	`jnl`	Post-hoc Uncertainty Calibration for Domain Drift Scenarios. CoRR Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner
2020	A*	`conf`	PrimiTect: Fast Continuous Hough Voting for Primitive Detection. ICRA Christiane Sommer, Yumin Sun, Erik Bylow, Daniel Cremers
2020	J	`jnl`	PrimiTect: Fast Continuous Hough Voting for Primitive Detection. CoRR Christiane Sommer, Yumin Sun, Erik Bylow, Daniel Cremers
2020	J	`jnl`	SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition. CoRR Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla
2020	—	`conf`	Simulated Annealing for 3D Shape Correspondence. 3DV Benjamin Holzschuh, Zorah Lähner, Daniel Cremers
2020	A*	`conf`	Smooth Shells: Multi-Scale Shape Registration With Functional Maps. CVPR Marvin Eisenberger, Zorah Lähner, Daniel Cremers
2020	J	`jnl`	Speech Synthesis and Control Using Differentiable DSP. CoRR Giorgio Fabbro, Vladimir Golkov, Thomas Kemp, Daniel Cremers
2020	—	`ch.`	TUM Flyers: Vision - Based MAV Navigation for Systematic Inspection of Structures. EuRoC Vladyslav Usenko, Lukas von Stumberg, Jörg Stückler, Daniel Cremers
2020	—	`conf`	Unsupervised Dense Shape Correspondence using Heat Kernels. 3DV Mehmet Aygün, Zorah Lähner, Daniel Cremers
2020	J	`jnl`	Unsupervised Dense Shape Correspondence using Heat Kernels. CoRR Mehmet Aygün, Zorah Lähner, Daniel Cremers
2020	J	`jnl`	Visual-Inertial Mapping With Non-Linear Factor Recovery. IEEE Robotics Autom. Lett. Vladyslav Usenko, Nikolaus Demmel, David Schubert, Jörg Stückler, Daniel Cremers
2020	J	`jnl`	i3DMM: Deep Implicit 3D Morphable Model of Human Heads. CoRR Tarun Yenamandra, Ayush Tewari, Florian Bernard, Hans-Peter Seidel, Mohamed A. Elgharib, Daniel Cremers, Christian Theobalt
2019	J	`jnl`	A Region-Based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. Henning Tjaden, Ulrich Schwanecke, Elmar Schömer, Daniel Cremers
2019	J	`jnl`	Bregman Proximal Framework for Deep Linear Neural Networks. CoRR Mahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers, Peter Ochs
2019	J	`jnl`	CVPR19 Tracking and Detection Challenge: How crowded can it get? CoRR Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé
2019	A*	`conf`	Controlling Neural Networks via Energy Dissipation. ICCV Michael Möller, Thomas Möllenhoff, Daniel Cremers
2019	J	`jnl`	Controlling Neural Networks via Energy Dissipation. CoRR Michael Möller, Thomas Möllenhoff, Daniel Cremers
2019	J	`jnl`	Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods. CoRR Luca Della Libera, Vladimir Golkov, Yue Zhu, Arman Mielke, Daniel Cremers
2019	J	`jnl`	DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation. CoRR Rui Wang, Nan Yang, Jörg Stückler, Daniel Cremers
2019	J	`jnl`	Divergence-Free Shape Correspondence by Deformation. Comput. Graph. Forum Marvin Eisenberger, Zorah Lähner, Daniel Cremers
2019	J	`jnl`	Efficient Derivative Computation for Cumulative B-Splines on Lie Groups. CoRR Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers
2019	A*	`conf`	Flat Metric Minimization with Applications in Generative Modeling. ICML Thomas Möllenhoff, Daniel Cremers
2019	J	`jnl`	Flat Metric Minimization with Applications in Generative Modeling. CoRR Thomas Möllenhoff, Daniel Cremers
2019	J	`jnl`	GN-Net: The Gauss-Newton Loss for Deep Direct SLAM. CoRR Lukas von Stumberg, Patrick Wenzel, Qadeer Khan, Daniel Cremers
2019	J	`jnl`	Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. CoRR Lu Sang, Bjoern Haefner, Daniel Cremers
2019	J	`jnl`	Informative GANs via Structured Regularization of Optimal Transport. CoRR Pierre Bréchet, Tao Wu, Thomas Möllenhoff, Daniel Cremers
2019	J	`jnl`	Learning to Evolve. CoRR Jan Schuchardt, Vladimir Golkov, Daniel Cremers
2019	A*	`conf`	Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus. CVPR Thomas Möllenhoff, Daniel Cremers
2019	J	`jnl`	Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus. CoRR Thomas Möllenhoff, Daniel Cremers
2019	J	`jnl`	Lifting methods for manifold-valued variational problems. CoRR Thomas Vogt, Evgeny Strekalovskiy, Daniel Cremers, Jan Lellmann
2019	J	`jnl`	Linear Inequality Constraints for Neural Network Activations. CoRR Thomas Frerix, Matthias Nießner, Daniel Cremers
2019	Misc	`conf`	Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light. CoRL Eunah Jung, Nan Yang, Daniel Cremers
2019	J	`jnl`	Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light. CoRR Eunah Jung, Nan Yang, Daniel Cremers
2019	J	`jnl`	On the well-posedness of uncalibrated photometric stereo under general lighting. CoRR Mohammed Brahimi, Yvain Quéau, Bjoern Haefner, Daniel Cremers
2019	A	`conf`	Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. AISTATS Emanuel Laude, Tao Wu, Daniel Cremers
2019	J	`jnl`	Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. CoRR Emanuel Laude, Tao Wu, Daniel Cremers
2019	—	`conf`	Photometric Segmentation: Simultaneous Photometric Stereo and Masking. 3DV Bjoern Haefner, Yvain Quéau, Daniel Cremers
2019	J	`jnl`	Probabilistic Discriminative Learning with Layered Graphical Models. CoRR Yuesong Shen, Tao Wu, Csaba Domokos, Daniel Cremers
2019	A	`conf`	Rolling-Shutter Modelling for Direct Visual-Inertial Odometry. IROS David Schubert, Nikolaus Demmel, Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers
2019	J	`jnl`	Rolling-Shutter Modelling for Direct Visual-Inertial Odometry. CoRR David Schubert, Nikolaus Demmel, Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers
2019	—	`conf`	Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang
2019	J	`jnl`	Smooth Shells: Multi-Scale Shape Registration with Functional Maps. CoRR Marvin Eisenberger, Zorah Lähner, Daniel Cremers
2019	J	`jnl`	Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction. CoRR Sebastian Weiss, Robert Maier, Rüdiger Westermann, Daniel Cremers, Nils Thuerey
2019	A	`conf`	Towards Generalizing Sensorimotor Control Across Weather Conditions. IROS Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé
2019	J	`jnl`	Towards Generalizing Sensorimotor Control Across Weather Conditions. CoRR Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé
2019	A*	`conf`	Variational Uncalibrated Photometric Stereo Under General Lighting. ICCV Zhenzhang Ye, Bjoern Haefner, Maolin Gao, Tao Wu, Yvain Quéau, Daniel Cremers
2019	J	`jnl`	Variational Uncalibrated Photometric Stereo under General Lighting. CoRR Bjoern Haefner, Zhenzhang Ye, Maolin Gao, Tao Wu, Yvain Quéau, Daniel Cremers
2019	J	`jnl`	Video Object Segmentation without Temporal Information. IEEE Trans. Pattern Anal. Mach. Intell. Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool
2019	J	`jnl`	Visual-Inertial Mapping with Non-Linear Factor Recovery. CoRR Vladyslav Usenko, Nikolaus Demmel, David Schubert, Jörg Stückler, Daniel Cremers
2018	J	`jnl`	A Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking. CoRR Henning Tjaden, Ulrich Schwanecke, Elmar Schömer, Daniel Cremers
2018	A	`conf`	A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization. AISTATS Emanuel Laude, Tao Wu, Daniel Cremers
2018	—	`conf`	Associative Deep Clustering: Training a Classification Network with No Labels. GCPR Philip Häusser, Johannes Plapp, Vladimir Golkov, Elie Aljalbout, Daniel Cremers
2018	J	`jnl`	Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias, and Rolling Shutter Effect. IEEE Robotics Autom. Lett. Nan Yang, Rui Wang, Xiang Gao, Daniel Cremers
2018	J	`jnl`	Clustering with Deep Learning: Taxonomy and New Methods. CoRR Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui, Daniel Cremers
2018	A	`conf`	Combinatorial Preconditioners for Proximal Algorithms on Graphs. AISTATS Thomas Möllenhoff, Zhenzhang Ye, Tao Wu, Daniel Cremers
2018	J	`jnl`	Combinatorial Preconditioners for Proximal Algorithms on Graphs. CoRR Thomas Möllenhoff, Zhenzhang Ye, Tao Wu, Daniel Cremers
2018	—	`conf`	Deep Depth from Focus. ACCV (3) Caner Hazirbas, Sebastian Georg Soyer, Maximilian Christian Staab, Laura Leal-Taixé, Daniel Cremers
2018	J	`jnl`	Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. CoRR Seyed Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid
2018	—	`conf`	Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. ECCV (8) Nan Yang, Rui Wang, Jörg Stückler, Daniel Cremers
2018	J	`jnl`	Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. CoRR Nan Yang, Rui Wang, Jörg Stückler, Daniel Cremers
2018	—	`conf`	DeepWrinkles: Accurate and Realistic Clothing Modeling. ECCV (4) Zorah Lähner, Daniel Cremers, Tony Tung
2018	J	`jnl`	DeepWrinkles: Accurate and Realistic Clothing Modeling. CoRR Zorah Lähner, Daniel Cremers, Tony Tung
2018	J	`jnl`	Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform. CoRR Lingni Ma, Jörg Stückler, Tao Wu, Daniel Cremers
2018	—	`conf`	Direct Sparse Odometry with Rolling Shutter. ECCV (8) David Schubert, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers
2018	J	`jnl`	Direct Sparse Odometry with Rolling Shutter. CoRR David Schubert, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers
2018	J	`jnl`	Direct Sparse Odometry. IEEE Trans. Pattern Anal. Mach. Intell. Jakob J. Engel, Vladlen Koltun, Daniel Cremers
2018	A*	`conf`	Direct Sparse Visual-Inertial Odometry Using Dynamic Marginalization. ICRA Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers
2018	J	`jnl`	Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization. CoRR Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers
2018	A*	`conf`	Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. CVPR Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers
2018	J	`jnl`	Divergence-Free Shape Interpolation and Correspondence. CoRR Marvin Eisenberger, Zorah Lähner, Daniel Cremers
2018	A*	`conf`	Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading. CVPR Bjoern Haefner, Yvain Quéau, Thomas Möllenhoff, Daniel Cremers
2018	—	`conf`	Fusion of Head and Full-Body Detectors for Multi-Object Tracking. CVPR Workshops Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn
2018	A	`conf`	Incremental Semi-Supervised Learning from Streams for Object Classification. IROS Ioannis Chiotellis, Franziska Zimmermann, Daniel Cremers, Rudolph Triebel
2018	—	`conf`	Joint Representation of Primitive and Non-primitive Objects for 3D Vision. 3DV Christiane Sommer, Daniel Cremers
2018	A	`conf`	LDSO: Direct Sparse Odometry with Loop Closure. IROS Xiang Gao, Rui Wang, Nikolaus Demmel, Daniel Cremers
2018	J	`jnl`	LDSO: Direct Sparse Odometry with Loop Closure. CoRR Xiang Gao, Rui Wang, Nikolaus Demmel, Daniel Cremers
2018	J	`jnl`	LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution. J. Math. Imaging Vis. Yvain Quéau, Bastien Durix, Tao Wu, Daniel Cremers, François Lauze, Jean-Denis Durou
2018	—	`conf`	MRF Optimization with Separable Convex Prior on Partially Ordered Labels. ECCV (8) Csaba Domokos, Frank R. Schmidt, Daniel Cremers
2018	Misc	`conf`	Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs. CoRL Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé
2018	J	`jnl`	Modular Vehicle Control for Transferring Semantic Information to Unseen Weather Conditions using GANs. CoRR Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé
2018	J	`jnl`	Omnidirectional DSO: Direct Sparse Odometry With Fisheye Cameras. IEEE Robotics Autom. Lett. Hidenobu Matsuki, Lukas von Stumberg, Vladyslav Usenko, Jörg Stückler, Daniel Cremers
2018	J	`jnl`	Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras. CoRR Hidenobu Matsuki, Lukas von Stumberg, Vladyslav Usenko, Jörg Stückler, Daniel Cremers
2018	J	`jnl`	Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM. IEEE Robotics Autom. Lett. Paul Bergmann, Rui Wang, Daniel Cremers
2018	J	`jnl`	Photometric Depth Super-Resolution. CoRR Bjoern Haefner, Songyou Peng, Alok Verma, Yvain Quéau, Daniel Cremers
2018	—	`conf`	Proximal Backpropagation. ICLR (Poster) Thomas Frerix, Thomas Möllenhoff, Michael Möller, Daniel Cremers
2018	—	`conf`	Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis. 3DV Virginia Estellers, Frank R. Schmidt, Daniel Cremers
2018	A*	`conf`	StaticFusion: Background Reconstruction for Dense RGB-D SLAM in Dynamic Environments. ICRA Raluca Scona, Mariano Jaimez, Yvan R. Petillot, Maurice F. Fallon, Daniel Cremers
2018	—	`conf`	The Double Sphere Camera Model. 3DV Vladyslav Usenko, Nikolaus Demmel, Daniel Cremers
2018	J	`jnl`	The Double Sphere Camera Model. CoRR Vladyslav Usenko, Nikolaus Demmel, Daniel Cremers
2018	A	`conf`	The TUM VI Benchmark for Evaluating Visual-Inertial Odometry. IROS David Schubert, Thore Goll, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers
2018	J	`jnl`	The TUM VI Benchmark for Evaluating Visual-Inertial Odometry. CoRR David Schubert, Thore Goll, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers
2018	J	`jnl`	The homotopy method revisited: Computing solution paths of ℓ Math. Comput. Björn Bringmann, Daniel Cremers, Felix Krahmer, Michael Möller
2018	J	`jnl`	Variational Reflectance Estimation from Multi-view Images. J. Math. Imaging Vis. Jean Mélou, Yvain Quéau, Jean-Denis Durou, Fabien Castan, Daniel Cremers
2018	J	`jnl`	What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? CoRR Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2018	J	`jnl`	What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Int. J. Comput. Vis. Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2018	J	`jnl`	q-Space Novelty Detection with Variational Autoencoders. CoRR Aleksei Vasilev, Vladimir Golkov, Ilona Lipp, Eleonora Sgarlata, Valentina Tomassini, Derek K. Jones, Daniel Cremers
2017	J	`jnl`	3D Deep Learning for Biological Function Prediction from Physical Fields. CoRR Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers
2017	A*	`conf`	A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. CVPR Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers
2017	A*	`conf`	A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting. CVPR Yvain Quéau, Tao Wu, François Lauze, Jean-Denis Durou, Daniel Cremers
2017	—	`conf`	A Variational Approach to Shape-from-Shading Under Natural Illumination. EMMCVPR Yvain Quéau, Jean Mélou, Fabien Castan, Daniel Cremers, Jean-Denis Durou
2017	J	`jnl`	A Variational Approach to Shape-from-shading Under Natural Illumination. CoRR Yvain Quéau, Jean Mélou, Fabien Castan, Daniel Cremers, Jean-Denis Durou
2017	A*	`conf`	An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Surface Models. CVPR Mariano Jaimez, Thomas J. Cashman, Andrew W. Fitzgibbon, Javier González Jiménez, Daniel Cremers
2017	A*	`conf`	Associative Domain Adaptation. ICCV Philip Häusser, Thomas Frerix, Alexander Mordvintsev, Daniel Cremers
2017	J	`jnl`	Associative Domain Adaptation. CoRR Philip Häusser, Thomas Frerix, Alexander Mordvintsev, Daniel Cremers
2017	—	`conf`	Beyond Multi-view Stereo: Shading-Reflectance Decomposition. SSVM Jean Mélou, Yvain Quéau, Jean-Denis Durou, Fabien Castan, Daniel Cremers
2017	J	`jnl`	Compression for Smooth Shape Analysis. CoRR Virginia Estellers, Frank R. Schmidt, Daniel Cremers
2017	J	`jnl`	Computer Vision für 3-D-Rekonstruktion - Vom Nischenthema zum Mainstream. Inform. Spektrum Daniel Cremers
2017	—	`ch.`	Computer Vision für 3D Rekonstruktion. 50 Jahre Universitäts-Informatik in München Daniel Cremers
2017	J	`jnl`	Consistent Partial Matching of Shape Collections via Sparse Modeling. Comput. Graph. Forum Luca Cosmo, Emanuele Rodolà, Andrea Albarelli, Facundo Mémoli, Daniel Cremers
2017	A*	`conf`	De-noising, stabilizing and completing 3D reconstructions on-the-go using plane priors. ICRA Maksym Dzitsiuk, Jürgen Sturm, Robert Maier, Lingni Ma, Daniel Cremers
2017	J	`jnl`	Deep Depth From Focus. CoRR Caner Hazirbas, Laura Leal-Taixé, Daniel Cremers
2017	J	`jnl`	Deep Learning for Computer Vision (Dagstuhl Seminar 17391). Dagstuhl Reports Daniel Cremers, Laura Leal-Taixé, René Vidal
2017	J	`jnl`	Dense Multi-view 3D-reconstruction Without Dense Correspondences. CoRR Yvain Quéau, Jean Mélou, Jean-Denis Durou, Daniel Cremers
2017	—	`conf`	Depth Super-Resolution Meets Uncalibrated Photometric Stereo. ICCV Workshops Songyou Peng, Bjoern Haefner, Yvain Quéau, Daniel Cremers
2017	J	`jnl`	Depth Super-Resolution Meets Uncalibrated Photometric Stereo. CoRR Songyou Peng, Bjoern Haefner, Yvain Quéau, Daniel Cremers
2017	Misc	`conf`	Direct methods for 3D reconstruction and visual SLAM. MVA Daniel Cremers
2017	J	`jnl`	Discrete-Continuous Splitting for Weakly Supervised Learning. CoRR Emanuel Laude, Jan-Hendrik Lange, Frank R. Schmidt, Bjoern Andres, Daniel Cremers
2017	—	`conf`	Efficient Deformable Shape Correspondence via Kernel Matching. 3DV Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers
2017	J	`jnl`	Efficient Deformable Shape Correspondence via Kernel Matching. CoRR Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers
2017	A	`conf`	Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction. BMVC Robert Maier, Raphael Schaller, Daniel Cremers
2017	J	`jnl`	Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction. CoRR Robert Maier, Raphael Schaller, Daniel Cremers
2017	A*	`conf`	Fast odometry and scene flow from RGB-D cameras based on geometric clustering. ICRA Mariano Jaimez, Christian Kerl, Javier González Jiménez, Daniel Cremers
2017	J	`jnl`	Feature-based or Direct: An Evaluation of Monocular Visual Odometry. CoRR Nan Yang, Rui Wang, Daniel Cremers
2017	—	`conf`	From monocular SLAM to autonomous drone exploration. ECMR Lukas von Stumberg, Vladyslav Usenko, Jakob J. Engel, Jörg Stückler, Daniel Cremers
2017	A*	`conf`	Image-Based Localization Using LSTMs for Structured Feature Correlation. ICCV Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers
2017	J	`jnl`	Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking. CoRR Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn
2017	A*	`conf`	Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting. ICCV Robert Maier, Kihwan Kim, Daniel Cremers, Jan Kautz, Matthias Nießner
2017	J	`jnl`	Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting. CoRR Robert Maier, Kihwan Kim, Daniel Cremers, Jan Kautz, Matthias Nießner
2017	A*	`conf`	KillingFusion: Non-rigid 3D Reconstruction without Correspondences. CVPR Miroslava Slavcheva, Maximilian Baust, Daniel Cremers, Slobodan Ilic
2017	J	`jnl`	LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution. CoRR Yvain Quéau, Bastien Durix, Tao Wu, Daniel Cremers, François Lauze, Jean-Denis Durou
2017	A*	`conf`	Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. ICCV Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers
2017	J	`jnl`	Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. CoRR Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers
2017	A*	`conf`	Learning by Association - A Versatile Semi-Supervised Training Method for Neural Networks. CVPR Philip Häusser, Alexander Mordvintsev, Daniel Cremers
2017	J	`jnl`	Learning by Association - A versatile semi-supervised training method for neural networks. CoRR Philip Häusser, Alexander Mordvintsev, Daniel Cremers
2017	—	`conf`	Map-based drone homing using shortcuts. MFI Daniel Bender, Wolfgang Koch, Daniel Cremers
2017	—	`conf`	Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing. QCAV Yvain Quéau, Matthieu Pizenberg, Jean-Denis Durou, Daniel Cremers
2017	J	`jnl`	Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras. CoRR Lingni Ma, Jörg Stückler, Christian Kerl, Daniel Cremers
2017	A	`conf`	Multi-view deep learning for consistent semantic mapping with RGB-D cameras. IROS Lingni Ma, Jörg Stückler, Christian Kerl, Daniel Cremers
2017	—	`conf`	Multiframe Motion Coupling for Video Super Resolution. EMMCVPR Jonas Geiping, Hendrik Dirks, Daniel Cremers, Michael Möller
2017	—	`conf`	Nonlinear Spectral Image Fusion. SSVM Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2017	J	`jnl`	Nonlinear Spectral Image Fusion. CoRR Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2017	A*	`conf`	One-Shot Video Object Segmentation. CVPR Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool
2017	J	`jnl`	Online Photometric Calibration for Auto Exposure Video for Realtime Visual Odometry and SLAM. CoRR Paul Bergmann, Rui Wang, Daniel Cremers
2017	J	`jnl`	Partial Functional Correspondence. Comput. Graph. Forum Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers
2017	J	`jnl`	Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space. CoRR Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers
2017	A*	`conf`	Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. CVPR Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers
2017	J	`jnl`	Proximal Backpropagation. CoRR Thomas Frerix, Thomas Möllenhoff, Michael Möller, Daniel Cremers
2017	J	`jnl`	Real-Time Trajectory Replanning for MAVs using Uniform B-splines and 3D Circular Buffer. CoRR Vladyslav Usenko, Lukas von Stumberg, Andrej Pangercic, Daniel Cremers
2017	A	`conf`	Real-time trajectory replanning for MAVs using uniform B-splines and a 3D circular buffer. IROS Vladyslav Usenko, Lukas von Stumberg, Andrej Pangercic, Daniel Cremers
2017	B	`conf`	Real-time variational stereo reconstruction with applications to large-scale dense SLAM. Intelligent Vehicles Symposium Georg Kuschk, Aljaz Bozic, Daniel Cremers
2017	J	`jnl`	Regularization for Deep Learning: A Taxonomy. CoRR Jan Kukacka, Vladimir Golkov, Daniel Cremers
2017	J	`jnl`	Regularized Pointwise Map Recovery from Functional Correspondence. Comput. Graph. Forum Emanuele Rodolà, Michael Möller, Daniel Cremers
2017	—	`conf`	Semi-calibrated Near-Light Photometric Stereo. SSVM Yvain Quéau, Tao Wu, Daniel Cremers
2017	J	`jnl`	Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization. SIAM J. Imaging Sci. Youngwook Kee, Yegang Lee, Mohamed Souiai, Daniel Cremers, Junmo Kim
2017	J	`jnl`	Spatially Regularized Fusion of Multiresolution Digital Surface Models. IEEE Trans. Geosci. Remote. Sens. Georg Kuschk, Pablo d'Angelo, David Gaudrie, Peter Reinartz, Daniel Cremers
2017	A*	`conf`	Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras. ICCV Rui Wang, Martin Schwörer, Daniel Cremers
2017	J	`jnl`	Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras. CoRR Rui Wang, Martin Schwörer, Daniel Cremers
2017	A*	`conf`	Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems. ICCV Thomas Möllenhoff, Daniel Cremers
2017	J	`jnl`	Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking. CoRR Laura Leal-Taixé, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth
2017	J	`jnl`	Variational Reflectance Estimation from Multi-view Images. CoRR Jean Mélou, Yvain Quéau, Jean-Denis Durou, Fabien Castan, Daniel Cremers
2017	J	`jnl`	Video Object Segmentation Without Temporal Information. CoRR Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool
2016	J	`jnl`	A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. CoRR Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers
2016	—	`conf`	A Convex Solution to Spatially-Regularized Correspondence Problems. ECCV (2) Thomas Windheuser, Daniel Cremers
2016	A*	`conf`	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CVPR Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	A Photometrically Calibrated Benchmark For Monocular Visual Odometry. CoRR Jakob J. Engel, Vladyslav Usenko, Daniel Cremers
2016	B	`conf`	A game-theoretical approach for joint matching of multiple feature throughout unordered images. ICPR Luca Cosmo, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello, Emanuele Rodolà, Daniel Cremers
2016	—	`conf`	A position free boresight calibration for INS-camera systems. MFI Daniel Bender, Daniel Cremers, Wolfgang Koch
2016	J	`jnl`	Anisotropic Diffusion Descriptors. Comput. Graph. Forum Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers
2016	—	`ch.`	Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence. Perspectives in Shape Analysis Matthias Vestner, Emanuele Rodolà, Thomas Windheuser, Samuel Rota Bulò, Daniel Cremers
2016	J	`jnl`	Autonomous Exploration with a Low-Cost Quadrocopter using Semi-Dense Monocular SLAM. CoRR Lukas von Stumberg, Vladyslav Usenko, Jakob J. Engel, Jörg Stückler, Daniel Cremers
2016	J	`jnl`	Bayesian Inference of Bijective Non-Rigid Shape Correspondence. CoRR Matthias Vestner, Roee Litman, Alexander M. Bronstein, Emanuele Rodolà, Daniel Cremers
2016	A*	`conf`	CPA-SLAM: Consistent plane-model alignment for direct RGB-D SLAM. ICRA Lingni Ma, Christian Kerl, Jörg Stückler, Daniel Cremers
2016	J	`jnl`	Collaborative Total Variation: A General Framework for Vectorial TV Models. SIAM J. Imaging Sci. Joan Duran, Michael Möller, Catalina Sbert, Daniel Cremers
2016	J	`jnl`	De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors. CoRR Maksym Dzitsiuk, Jürgen Sturm, Robert Maier, Lingni Ma, Daniel Cremers
2016	J	`jnl`	Direct Sparse Odometry. CoRR Jakob J. Engel, Vladlen Koltun, Daniel Cremers
2016	A*	`conf`	Direct visual-inertial odometry with stereo cameras. ICRA Vladyslav Usenko, Jakob J. Engel, Jörg Stückler, Daniel Cremers
2016	A*	`conf`	Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CVPR Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
2016	J	`jnl`	Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CoRR Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
2016	—	`conf`	FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture. ACCV (1) Caner Hazirbas, Lingni Ma, Csaba Domokos, Daniel Cremers
2016	J	`jnl`	Image-based Localization with Spatial LSTMs. CoRR Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers
2016	J	`jnl`	Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks. CoRR Sahand Sharifzadeh, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers
2016	—	`conf`	Matching of Deformable Shapes with Topological Noise. 3DOR@Eurographics Zorah Lähner, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers, Oliver Burghard, Luca Cosmo, Alexander Dieckmann, Reinhard Klein, Yusuf Sahillioglu
2016	J	`jnl`	Midrange Geometric Interactions for Semantic Segmentation - Constraints for Continuous Multi-label Optimization. Int. J. Comput. Vis. Julia Diebold, Claudia Nieuwenhuis, Daniel Cremers
2016	—	`conf`	Model-free novelty-based diffusion MRI. ISBI Vladimir Golkov, Tim Sprenger, Jonathan Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Daniel Cremers
2016	J	`jnl`	Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution. CoRR Hendrik Dirks, Jonas Geiping, Daniel Cremers, Michael Möller
2016	J	`jnl`	Non-Rigid Puzzles. Comput. Graph. Forum Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers
2016	—	`conf`	Non-rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding. ECCV (2) Ioannis Chiotellis, Rudolph Triebel, Thomas Windheuser, Daniel Cremers
2016	J	`jnl`	On the Implementation of Collaborative TV Regularization: Application to Cartoon+Texture Decomposition. Image Process. Line Joan Duran, Michael Möller, Catalina Sbert, Daniel Cremers
2016	J	`jnl`	One-Shot Video Object Segmentation. CoRR Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool
2016	—	`conf`	Partial Matching of Deformable Shapes. 3DOR@Eurographics Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello, Daniel Cremers, Yusuf Sahillioglu
2016	J	`jnl`	Precise Relaxation of the Mumford-Shah Functional. CoRR Thomas Möllenhoff, Daniel Cremers
2016	—	`conf`	Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images. NIPS Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers
2016	C	`conf`	Scaling the world of monocular SLAM with INS-measurements for UAS navigation. FUSION Daniel Bender, Fahmi Rouatbi, Marek Schikora, Daniel Cremers, Wolfgang Koch
2016	J	`jnl`	Spectral Decompositions Using One-Homogeneous Functionals. SIAM J. Imaging Sci. Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers
2016	J	`jnl`	Spectral Decompositions using One-Homogeneous Functionals. CoRR Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers
2016	A*	`conf`	Stream-based Active Learning for efficient and adaptive classification of 3D objects. ICRA Alexander Narr, Rudolph Triebel, Daniel Cremers
2016	—	`conf`	Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies. ECCV (1) Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers
2016	J	`jnl`	Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies. CoRR Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers
2016	A*	`conf`	Sublabel-Accurate Relaxation of Nonconvex Energies. CVPR Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers
2016	J	`jnl`	q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. IEEE Trans. Medical Imaging Vladimir Golkov, Alexey Dosovitskiy, Jonathan I. Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Thomas Brox, Daniel Cremers
2015	J	`jnl`	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CoRR Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2015	A*	`conf`	A primal-dual framework for real-time dense RGB-D scene flow. ICRA Mariano Jaimez, Mohamed Souiai, Javier González Jiménez, Daniel Cremers
2015	J	`jnl`	A simple and effective relevance-based point sampling for 3D shapes. Pattern Recognit. Lett. Emanuele Rodolà, Andrea Albarelli, Daniel Cremers, Andrea Torsello
2015	A*	`conf`	Active online confidence boosting for efficient object classification. ICRA Dennis Mund, Rudolph Triebel, Daniel Cremers
2015	A*	`conf`	Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction. CVPR Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Torsello, Emanuele Rodolà, Daniel Cremers
2015	J	`jnl`	Car detection by fusion of HOG and causal MRF. IEEE Trans. Aerosp. Electron. Syst. Satish Madhogaria, Paul M. Baggenstoss, Marek Schikora, Wolfgang Koch, Daniel Cremers
2015	J	`jnl`	Collaborative Total Variation: A General Framework for Vectorial TV Models. CoRR Joan Duran, Michael Möller, Catalina Sbert, Daniel Cremers
2015	—	`ed.`	Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I ACCV (1) Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang
2015	—	`ed.`	Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part II ACCV (2) Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang
2015	—	`ed.`	Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part III ACCV (3) Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang
2015	—	`ed.`	Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV ACCV (4) Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang
2015	—	`ed.`	Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V ACCV (5) Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang
2015	A*	`conf`	Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras. ICCV Christian Kerl, Jörg Stückler, Daniel Cremers
2015	A*	`conf`	Entropy Minimization for Convex Relaxation Approaches. ICCV Mohamed Souiai, Martin R. Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, Daniel Cremers
2015	J	`jnl`	Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications. IEEE Signal Process. Lett. Youngwook Kee, Hansang Lee, Junho Yim, Daniel Cremers, Junmo Kim
2015	J	`jnl`	Field phenotyping of grapevine growth using dense stereo reconstruction. BMC Bioinform. Maria Klodt, Katja Herzog, Reinhard Töpfer, Daniel Cremers
2015	A*	`conf`	FlowNet: Learning Optical Flow with Convolutional Networks. ICCV Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	J	`jnl`	FlowNet: Learning Optical Flow with Convolutional Networks. CoRR Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	—	`ch.`	Image Segmentation with Shape Priors: Explicit Versus Implicit Representations. Handbook of Mathematical Methods in Imaging Daniel Cremers
2015	—	`conf`	Interactive Multi-label Segmentation of RGB-D Images. SSVM Julia Diebold, Nikolaus Demmel, Caner Hazirbas, Michael Möller, Daniel Cremers
2015	A	`conf`	Large-scale direct SLAM for omnidirectional cameras. IROS David Caruso, Jakob J. Engel, Daniel Cremers
2015	A	`conf`	Large-scale direct SLAM with stereo cameras. IROS Jakob J. Engel, Jörg Stückler, Daniel Cremers
2015	A*	`conf`	Learning Nonlinear Spectral Filters for Color Image Reconstruction. ICCV Michael Möller, Julia Diebold, Guy Gilboa, Daniel Cremers
2015	A*	`conf`	Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations. ICCV Jan Stühmer, Sebastian Nowozin, Andrew W. Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers, Jamie Shotton
2015	—	`conf`	Motion Cooperation: Smooth Piece-wise Rigid Scene Flow from RGB-D Images. 3DV Mariano Jaimez, Mohamed Souiai, Jörg Stückler, Javier González Jiménez, Daniel Cremers
2015	—	`conf`	Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation. SSVM Caner Hazirbas, Julia Diebold, Daniel Cremers
2015	J	`jnl`	Partial Functional Correspondence. CoRR Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers
2015	—	`conf`	Point-wise Map Recovery and Refinement from Functional Correspondence. VMV Emanuele Rodolà, Michael Möller, Daniel Cremers
2015	J	`jnl`	Point-wise Map Recovery and Refinement from Functional Correspondence. CoRR Emanuele Rodolà, Michael Möller, Daniel Cremers
2015	J	`jnl`	Realistic photometric stereo using partial differential irradiance equation ratios. Comput. Graph. Roberto Mecca, Emanuele Rodolà, Daniel Cremers
2015	—	`conf`	Reconstructing Street-Scenes in Real-Time from a Driving Car. 3DV Vladyslav Usenko, Jakob J. Engel, Jörg Stückler, Daniel Cremers
2015	—	`conf`	SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports. FSR Rudolph Triebel, Kai Oliver Arras, Rachid Alami, Lucas Beyer, Stefan Breuers, Raja Chatila, Mohamed Chetouani, Daniel Cremers, Vanessa Evers, Michelangelo Fiore, Hayley Hung, Omar A. Islas Ramírez, Michiel Joosse, Harmish Khambhaita, Tomasz Kucner, Bastian Leibe, Achim J. Lilienthal, Timm Linder, Manja Lohse, Martin Magnusson, Billy Okal, Luigi Palmieri, Umer Rafi, Marieke van Rooij, Lu Zhang
2015	A	`conf`	Semi-supervised online learning for efficient classification of objects in 3D data streams. IROS Ye Tao, Rudolph Triebel, Daniel Cremers
2015	J	`jnl`	Sublabel-Accurate Relaxation of Nonconvex Energies. CoRR Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers
2015	—	`conf`	Super-resolution Keyframe Fusion for 3D Modeling with High-Quality Textures. 3DV Robert Maier, Jörg Stückler, Daniel Cremers
2015	J	`jnl`	The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings. SIAM J. Imaging Sci. Thomas Möllenhoff, Evgeny Strekalovskiy, Michael Möller, Daniel Cremers
2015	J	`jnl`	The Role of Diffusion in Figure Hunt Games. J. Math. Imaging Vis. Julia Diebold, Sibel Tari, Daniel Cremers
2015	J	`jnl`	Variational Depth From Focus Reconstruction. IEEE Trans. Image Process. Michael Möller, Martin Benning, Carola Schönlieb, Daniel Cremers
2015	—	`conf`	q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. MICCAI (1) Vladimir Golkov, Alexey Dosovitskiy, Philipp G. Sämann, Jonathan I. Sperl, Tim Sprenger, Michael Czisch, Marion I. Menzel, Pedro A. Gómez, Axel Haase, Thomas Brox, Daniel Cremers
2014	J	`jnl`	3-D Mapping With an RGB-D Camera. IEEE Trans. Robotics Felix Endres, Jürgen Hess, Jürgen Sturm, Daniel Cremers, Wolfram Burgard
2014	—	`conf`	A Fast Projection Method for Connectivity Constraints in Image Segmentation. EMMCVPR Jan Stühmer, Daniel Cremers
2014	—	`conf`	A Novel Framework for Nonlocal Vectorial Total Variation Based on ℓ p, q, r -norms. EMMCVPR Joan Duran, Michael Möller, Catalina Sbert, Daniel Cremers
2014	J	`jnl`	A Super-Resolution Framework for High-Accuracy Multiview Reconstruction. Int. J. Comput. Vis. Bastian Goldlücke, Mathieu Aubry, Kalin Kolev, Daniel Cremers
2014	—	`conf`	Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes. GCPR Rudolph Triebel, Jan Stühmer, Mohamed Souiai, Daniel Cremers
2014	—	`conf`	Anisotropic Laplace-Beltrami Operators for Shape Analysis. ECCV Workshops (4) Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers
2014	J	`jnl`	Box-particle probability hypothesis density filtering. IEEE Trans. Aerosp. Electron. Syst. Marek Schikora, Amadou Gning, Lyudmila Mihaylova, Daniel Cremers, Wolfgang Koch
2014	—	`conf`	Co-Sparse Textural Similarity for Interactive Segmentation. ECCV (6) Claudia Nieuwenhuis, Simon Hawe, Martin Kleinsteuber, Daniel Cremers
2014	—	`conf`	Collision Avoidance for Quadrotors with a Monocular Camera. ISER H. Alvarez, Lina María Paz, Jürgen Sturm, Daniel Cremers
2014	J	`jnl`	Convex Relaxation of Vectorial Problems with Coupled Regularization. SIAM J. Imaging Sci. Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers
2014	A*	`conf`	Dense Non-rigid Shape Correspondence Using Random Forests. CVPR Emanuele Rodolà, Samuel Rota Bulò, Thomas Windheuser, Matthias Vestner, Daniel Cremers
2014	Misc	`conf`	Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data. KI Shoubhik Debnath, Shiv Sankar Baishya, Rudolph Triebel, Varun Dutt, Daniel Cremers
2014	A*	`conf`	Event-based 3D SLAM with a depth-augmented dynamic vision sensor. ICRA David Weikersdorfer, David B. Adrian, Daniel Cremers, Jörg Conradt
2014	—	`conf`	Flow and Color Inpainting for Video Completion. GCPR Michael Strobel, Julia Diebold, Daniel Cremers
2014	—	`conf`	Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction. ECCV (4) Martin Ralf Oswald, Jan Stühmer, Daniel Cremers
2014	—	`conf`	High-Resolution Plant Shape Measurements from Multi-view Stereo Reconstruction. ECCV Workshops (4) Maria Klodt, Daniel Cremers
2014	J	`jnl`	Introduction to the special issue on visual understanding and applications with RGB-D cameras. J. Vis. Commun. Image Represent. Zicheng Liu, Michael Beetz, Daniel Cremers, Jürgen Gall, Wanqing Li, Dejan Pangercic, Jürgen Sturm, Yu-Wing Tai
2014	—	`conf`	LSD-SLAM: Large-Scale Direct Monocular SLAM. ECCV (2) Jakob J. Engel, Thomas Schöps, Daniel Cremers
2014	—	`conf`	Learning Similarities for Rigid and Non-rigid Object Detection. 3DV Asako Kanezaki, Emanuele Rodolà, Daniel Cremers, Tatsuya Harada
2014	—	`conf`	Low Rank Priors for Color Image Regularization. EMMCVPR Thomas Möllenhoff, Evgeny Strekalovskiy, Michael Möller, Daniel Cremers
2014	A	`conf`	Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis. BMVC Thomas Windheuser, Matthias Vestner, Emanuele Rodolà, Rudolph Triebel, Daniel Cremers
2014	—	`conf`	Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional. ECCV (2) Evgeny Strekalovskiy, Daniel Cremers
2014	J	`jnl`	Robust Region Detection via Consensus Segmentation of Deformable Shapes. Comput. Graph. Forum Emanuele Rodolà, Samuel Rota Bulò, Daniel Cremers
2014	J	`jnl`	Scale-aware navigation of a low-cost quadrocopter with a monocular camera. Robotics Auton. Syst. Jakob J. Engel, Jürgen Sturm, Daniel Cremers
2014	A*	`conf`	Semi-dense visual odometry for AR on a smartphone. ISMAR Thomas Schöps, Jakob J. Engel, Daniel Cremers
2014	A*	`conf`	Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation. CVPR Youngwook Kee, Mohamed Souiai, Daniel Cremers, Junmo Kim
2014	—	`conf`	Spatial and Temporal Interpolation of Multi-view Image Sequences. GCPR Tobias Gurdan, Martin R. Oswald, Daniel Gurdan, Daniel Cremers
2014	—	`conf`	Submap-Based Bundle Adjustment for 3D Reconstruction from RGB-D Data. GCPR Robert Maier, Jürgen Sturm, Daniel Cremers
2014	A	`conf`	Surface Normal Integration for Convex Space-time Multi-view Reconstruction. BMVC Martin R. Oswald, Daniel Cremers
2014	J	`jnl`	The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings. CoRR Thomas Möllenhoff, Evgeny Strekalovskiy, Michael Möller, Daniel Cremers
2014	—	`conf`	Towards Illumination-Invariant 3D Reconstruction Using ToF RGB-D Cameras. 3DV Christian Kerl, Mohamed Souiai, Jürgen Sturm, Daniel Cremers
2014	J	`jnl`	Variational Depth from Focus Reconstruction. CoRR Michael Möller, Martin Benning, Carola-Bibiane Schönlieb, Daniel Cremers
2014	A*	`conf`	Volumetric 3D mapping in real-time on a CPU. ICRA Frank Steinbrücker, Jürgen Sturm, Daniel Cremers
2013	—	`conf`	A Co-occurrence Prior for Continuous Multi-label Optimization. EMMCVPR Mohamed Souiai, Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers
2013	—	`conf`	A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction. ICCV Workshops Martin R. Oswald, Daniel Cremers
2013	—	`ch.`	A Review of Geometry Recovery from a Single Image Focusing on Curved Object Reconstruction. Innovations for Shape Analysis, Models and Algorithms Martin R. Oswald, Eno Töppe, Claudia Nieuwenhuis, Daniel Cremers
2013	J	`jnl`	A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model. Int. J. Comput. Vis. Claudia Nieuwenhuis, Eno Töppe, Daniel Cremers
2013	J	`jnl`	Co-Sparse Textural Similarity for Image Segmentation. CoRR Claudia Nieuwenhuis, Daniel Cremers, Simon Hawe, Martin Kleinsteuber
2013	—	`conf`	Convex Optimization for Scene Understanding. ICCV Workshops Mohamed Souiai, Claudia Nieuwenhuis, Evgeny Strekalovskiy, Daniel Cremers
2013	—	`conf`	CopyMe3D: Scanning and Printing Persons in 3D. GCPR Jürgen Sturm, Erik Bylow, Fredrik Kahl, Daniel Cremers
2013	A	`conf`	Dense visual SLAM for RGB-D cameras. IROS Christian Kerl, Jürgen Sturm, Daniel Cremers
2013	B	`conf`	Depth-adaptive supervoxels for RGB-D video segmentation. ICIP David Weikersdorfer, Alexander Schick, Daniel Cremers
2013	—	`conf`	Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints. EMMCVPR Thomas Möllenhoff, Claudia Nieuwenhuis, Eno Töppe, Daniel Cremers
2013	A	`conf`	Efficient Shape Matching using Vector Extrapolation. BMVC Emanuele Rodolà, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers
2013	A*	`conf`	Elastic Net Constraints for Shape Matching. ICCV Emanuele Rodolà, Andrea Torsello, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers
2013	—	`conf`	Fast and Accurate Large-Scale Stereo Reconstruction Using Variational Methods. ICCV Workshops Georg Kuschk, Daniel Cremers
2013	A	`conf`	FollowMe: Person following and gesture recognition with a quadrocopter. IROS Tayyab Naseer, Jürgen Sturm, Daniel Cremers
2013	A*	`conf`	Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences. ICCV Frank Steinbrücker, Christian Kerl, Daniel Cremers
2013	—	`ch.`	Moment Constraints in Convex Optimization for Segmentation and Tracking. Advanced Topics in Computer Vision Maria Klodt, Frank Steinbrücker, Daniel Cremers
2013	—	`conf`	Performance Evaluation of Narrow Band Methods for Variational Stereo Reconstruction. GCPR Franz Stangl, Mohamed Souiai, Daniel Cremers
2013	A*	`conf`	Proportion Priors for Image Sequence Segmentation. ICCV Claudia Nieuwenhuis, Evgeny Strekalovskiy, Daniel Cremers
2013	—	`conf`	Proximity Priors for Variational Semantic Segmentation and Recognition. ICCV Workshops Julia Bergbauer, Claudia Nieuwenhuis, Mohamed Souiai, Daniel Cremers
2013	—	`conf`	Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions. Robotics: Science and Systems Erik Bylow, Jürgen Sturm, Christian Kerl, Fredrik Kahl, Daniel Cremers
2013	A*	`conf`	Relative Volume Constraints for Single View 3D Reconstruction. CVPR Eno Töppe, Claudia Nieuwenhuis, Daniel Cremers
2013	A*	`conf`	Robust odometry estimation for RGB-D cameras. ICRA Christian Kerl, Jürgen Sturm, Daniel Cremers
2013	—	`conf`	Scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images. GCPR Maria Klodt, Jürgen Sturm, Daniel Cremers
2013	A*	`conf`	Semi-dense Visual Odometry for a Monocular Camera. ICCV Jakob J. Engel, Jürgen Sturm, Daniel Cremers
2013	—	`ch.`	Shape Priors for Image Segmentation. Shape Perception in Human and Computer Vision Daniel Cremers
2013	J	`jnl`	Spatially Varying Color Distributions for Interactive Multilabel Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Claudia Nieuwenhuis, Daniel Cremers
2013	J	`jnl`	Tight Convex Relaxations for Vector-Valued Labeling. SIAM J. Imaging Sci. Bastian Goldluecke, Evgeny Strekalovskiy, Daniel Cremers
2013	J	`jnl`	Total Cyclic Variation and Generalizations. J. Math. Imaging Vis. Daniel Cremers, Evgeny Strekalovskiy
2013	A*	`conf`	Total Variation Regularization for Functions with Values in a Manifold. ICCV Jan Lellmann, Evgeny Strekalovskiy, Sabrina Koetter, Daniel Cremers
2013	A*	`conf`	Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs. ICCV Jan Stühmer, Peter Schröder, Daniel Cremers
2012	J	`jnl`	A Coding-Cost Framework for Super-Resolution Motion Layer Decomposition. IEEE Trans. Image Process. Thomas Schoenemann, Daniel Cremers
2012	J	`jnl`	A Convex Approach to Minimal Partitions. SIAM J. Imaging Sci. Antonin Chambolle, Daniel Cremers, Thomas Pock
2012	J	`jnl`	A Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization. Int. J. Comput. Vis. Thomas Schoenemann, Fredrik Kahl, Simon Masnou, Daniel Cremers
2012	A	`conf`	A benchmark for the evaluation of RGB-D SLAM systems. IROS Jürgen Sturm, Nikolas Engelhard, Felix Endres, Wolfram Burgard, Daniel Cremers
2012	A*	`conf`	A convex representation for the vectorial Mumford-Shah functional. CVPR Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers
2012	A*	`conf`	A generalized framework for opening doors and drawers in kitchen environments. ICRA Thomas Rühr, Jürgen Sturm, Dejan Pangercic, Michael Beetz, Daniel Cremers
2012	A*	`conf`	An evaluation of the RGB-D SLAM system. ICRA Felix Endres, Jürgen Hess, Nikolas Engelhard, Jürgen Sturm, Daniel Cremers, Wolfram Burgard
2012	J	`jnl`	An image classification approach to analyze the suppression of plant immunity by the human pathogen Salmonella Typhimurium. BMC Bioinform. Marek Schikora, Balram Neupane, Satish Madhogaria, Wolfgang Koch, Daniel Cremers, Heribert Hirt, Karl-Heinz Kogel, Adam Schikora
2012	C	`conf`	Box-particle PHD filter for multi-target tracking. FUSION Marek Schikora, Amadou Gning, Lyudmila Mihaylova, Daniel Cremers, Wolfgang Koch
2012	A	`conf`	Camera-based navigation of a low-cost quadrocopter. IROS Jakob J. Engel, Jürgen Sturm, Daniel Cremers
2012	J	`jnl`	Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI. Adv. Artif. Neural Syst. Frank Steinbrücker, Anke Meyer-Baese, Thomas Schlossbauer, Daniel Cremers
2012	J	`jnl`	Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images. IEEE Trans. Pattern Anal. Mach. Intell. Kalin Kolev, Thomas Brox, Daniel Cremers
2012	A*	`conf`	Fast and globally optimal single view reconstruction of curved objects. CVPR Martin R. Oswald, Eno Töppe, Daniel Cremers
2012	—	`conf`	Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency. ECCV (6) Thomas Windheuser, Hiroshi Ishikawa, Daniel Cremers
2012	—	`conf`	Groupwise Shape Registration Based on Entropy Minimization. DAGM/OAGM Symposium Youngwook Kee, Daniel Cremers, Junmo Kim
2012	J	`jnl`	Image segmentation with one shape prior - A template-based formulation. Image Vis. Comput. Siqi Chen, Daniel Cremers, Richard J. Radke
2012	—	`conf`	Nonmetric Priors for Continuous Multilabel Optimization. ECCV (7) Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers
2012	J	`jnl`	Optimal solutions for semantic image decomposition. Image Vis. Comput. Daniel Cremers
2012	A	`conf`	Real-time human motion tracking using multiple depth cameras. IROS Licong Zhang, Jürgen Sturm, Daniel Cremers, Dongheui Lee
2012	J	`jnl`	The Natural Vectorial Total Variation Which Arises from Geometric Measure Theory. SIAM J. Imaging Sci. Bastian Goldlücke, Evgeny Strekalovskiy, Daniel Cremers
2012	—	`conf`	Wehrli 2.0: An Algorithm for "Tidying up Art". ECCV Workshops (1) Nikolai Ufer, Mohamed Souiai, Daniel Cremers
2011	A*	`conf`	A convex framework for image segmentation with moment constraints. ICCV Maria Klodt, Daniel Cremers
2011	J	`jnl`	A linear framework for region-based image segmentation and inpainting involving curvature penalization CoRR Thomas Schoenemann, Fredrik Kahl, Simon Masnou, Daniel Cremers
2011	J	`jnl`	A variational approach to vesicle membrane reconstruction from fluorescence imaging. Pattern Recognit. Kalin Kolev, Norbert Kirchgeßner, Sebastian Houben, Agnes Csiszár, Wolfgang Rubner, Christoph Palm, Björn Eiben, Rudolf Merkel, Daniel Cremers
2011	A*	`conf`	Decoupling photometry and geometry in dense variational camera calibration. ICCV Mathieu Aubry, Kalin Kolev, Bastian Goldlücke, Daniel Cremers
2011	—	`conf`	Dense Elastic 3D Shape Matching. Efficient Algorithms for Global Optimization Methods in Computer Vision Frank R. Schmidt, Thomas Windheuser, Ulrich Schlickewei, Daniel Cremers
2011	A*	`conf`	Generalized ordering constraints for multilabel optimization. ICCV Evgeny Strekalovskiy, Daniel Cremers
2011	A*	`conf`	Geometrically consistent elastic matching of 3D shapes: A linear programming solution. ICCV Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers
2011	A*	`conf`	Introducing total curvature for image processing. ICCV Bastian Goldlücke, Daniel Cremers
2011	J	`jnl`	Large-Scale Integer Linear Programming for Orientation Preserving 3 Comput. Graph. Forum Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers
2011	J	`jnl`	Motion Field Estimation from Alternate Exposure Images. IEEE Trans. Pattern Anal. Mach. Intell. Anita Sellent, Martin Eisemann, Bastian Goldlücke, Daniel Cremers, Marcus A. Magnor
2011	Misc	`conf`	Multi-object tracking via high accuracy optical flowand finite set statistics. ICASSP Marek Schikora, Wolfgang Koch, Daniel Cremers
2011	—	`conf`	Multiple source localization based on biased bearings using the intensity filter - approach and experimental results. CAMSAP Marek Schikora, Marc Oispuu, Wolfgang Koch, Daniel Cremers
2011	J	`jnl`	Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains. IEEE Trans. Pattern Anal. Mach. Intell. Daniel Cremers, Kalin Kolev
2011	J	`jnl`	On a linear programming approach to the discrete Willmore boundary value problem and generalizations CoRR Thomas Schoenemann, Simon Masnou, Daniel Cremers
2011	—	`conf`	Pixel-based classification method for detecting unhealthy regions in leaf images. GI-Jahrestagung Satish Madhogaria, Marek Schikora, Wolfgang Koch, Daniel Cremers
2011	—	`conf`	Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor. DAGM-Symposium Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers
2011	—	`conf`	Real-time visual odometry from dense RGB-D images. ICCV Workshops Frank Steinbrücker, Jürgen Sturm, Daniel Cremers
2011	C	`conf`	Sequential Monte Carlo method for the iFilter. FUSION Marek Schikora, Wolfgang Koch, Roy L. Streit, Daniel Cremers
2011	—	`conf`	Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches. EMMCVPR Claudia Nieuwenhuis, Eno Töppe, Daniel Cremers
2011	—	`book`	Stereo Scene Flow for 3D Motion Analysis. Andreas Wedel, Daniel Cremers
2011	J	`jnl`	Stereoscopic Scene Flow Computation for 3D Motion Understanding. Int. J. Comput. Vis. Andreas Wedel, Thomas Brox, Tobi Vaudrey, Clemens Rabe, Uwe Franke, Daniel Cremers
2011	J	`jnl`	The Elastic Ratio: Introducing Curvature Into Ratio-Based Image Segmentation. IEEE Trans. Image Process. Thomas Schoenemann, Simon Masnou, Daniel Cremers
2011	—	`conf`	The wave kernel signature: A quantum mechanical approach to shape analysis. ICCV Workshops Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers
2011	A*	`conf`	Tight convex relaxations for vector-valued labeling problems. ICCV Evgeny Strekalovskiy, Bastian Goldlücke, Daniel Cremers
2011	A*	`conf`	Total variation for cyclic structures: Convex relaxation and efficient minimization. CVPR Evgeny Strekalovskiy, Daniel Cremers
2011	—	`ed.`	Video Processing and Computational Video - International Seminar, Dagstuhl Castle, Germany, October 10-15, 2010. Revised Papers Video Processing and Computational Video Daniel Cremers, Marcus A. Magnor, Martin R. Oswald, Lihi Zelnik-Manor
2010	—	`conf`	10411 Abstracts Collection - Computational Video. Computational Video Daniel Cremers, Marcus A. Magnor, Lihi Zelnik-Manor
2010	—	`conf`	10411 Executive Summary - Computational Video. Computational Video Daniel Cremers, Marcus A. Magnor, Lihi Zelnik-Manor
2010	J	`jnl`	A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Schoenemann, Daniel Cremers
2010	A*	`conf`	An approach to vectorial total variation based on geometric measure theory. CVPR Bastian Goldlücke, Daniel Cremers
2010	—	`conf`	Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo. ECCV (3) Kalin Kolev, Thomas Pock, Daniel Cremers
2010	J	`jnl`	Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Brox, Bodo Rosenhahn, Juergen Gall, Daniel Cremers
2010	—	`ed.`	Computational Video, 10.10. - 15.10.2010 Computational Video Daniel Cremers, Marcus A. Magnor, Lihi Zelnik-Manor
2010	—	`conf`	Convex Relaxation for Grain Segmentation at Atomic Scale. VMV Markus Boerdgen, Benjamin Berkels, Martin Rumpf, Daniel Cremers
2010	—	`conf`	Convex Relaxation for Multilabel Problems with Product Label Spaces. ECCV (5) Bastian Goldlücke, Daniel Cremers
2010	J	`jnl`	Global Solutions of Variational Models with Convex Regularization. SIAM J. Imaging Sci. Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle
2010	—	`conf`	Image-Based 3D Modeling via Cheeger Sets. ACCV (1) Eno Töppe, Martin R. Oswald, Daniel Cremers, Carsten Rother
2010	—	`conf`	Interactive Motion Segmentation. DAGM-Symposium Claudia Nieuwenhuis, Benjamin Berkels, Martin Rumpf, Daniel Cremers
2010	—	`conf`	On a Linear Programming Approach to the Discrete Willmore Boundary Value Problem and Generalizations. Curves and Surfaces Thomas Schoenemann, Simon Masnou, Daniel Cremers
2010	—	`conf`	Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera. ECCV Workshops (1) Jan Stühmer, Stefan Gumhold, Daniel Cremers
2010	C	`conf`	Passive multi-object localization and tracking using bearing data. FUSION Marek Schikora, Daniel Bender, Daniel Cremers, Wolfgang Koch
2010	—	`conf`	Probabilistic Classification of Disease symptoms caused by Salmonella on Arabidopsis Plants. GI Jahrestagung (2) Marek Schikora, Adam Schikora, Karl-Heinz Kogel, Wolfgang Koch, Daniel Cremers
2010	—	`conf`	Real-Time Dense Geometry from a Handheld Camera. DAGM-Symposium Jan Stühmer, Stefan Gumhold, Daniel Cremers
2010	—	`conf`	Silhouette-Based Variational Methods for Single View Reconstruction. Video Processing and Computational Video Eno Töppe, Martin R. Oswald, Daniel Cremers, Carsten Rother
2009	—	`conf`	A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors. DAGM-Symposium Frank R. Schmidt, Daniel Cremers
2009	—	`conf`	A Superresolution Framework for High-Accuracy Multiview Reconstruction. DAGM-Symposium Bastian Goldlücke, Daniel Cremers
2009	A*	`conf`	A convex relaxation approach for computing minimal partitions. CVPR Thomas Pock, Antonin Chambolle, Daniel Cremers, Horst Bischof
2009	—	`conf`	Advanced Data Terms for Variational Optic Flow Estimation. VMV Frank Steinbrücker, Thomas Pock, Daniel Cremers
2009	A*	`conf`	An algorithm for minimizing the Mumford-Shah functional. ICCV Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle
2009	A	`conf`	Anisotropic Huber-L1 Optical Flow. BMVC Manuel Werlberger, Werner Trobin, Thomas Pock, Andreas Wedel, Daniel Cremers, Horst Bischof
2009	J	`jnl`	B-Spline Modeling of Road Surfaces With an Application to Free-Space Estimation. IEEE Trans. Intell. Transp. Syst. Andreas Wedel, Hernán Badino, Clemens Rabe, Heidi Loose, Uwe Franke, Daniel Cremers
2009	A*	`conf`	Beyond connecting the dots: A polynomial-time algorithm for segmentation and boundary estimation with imprecise user input. ICCV Thomas Windheuser, Thomas Schoenemann, Daniel Cremers
2009	J	`jnl`	Continuous Global Optimization in Multiview 3D Reconstruction. Int. J. Comput. Vis. Kalin Kolev, Maria Klodt, Thomas Brox, Daniel Cremers
2009	A*	`conf`	Continuous ratio optimization via convex relaxation with applications to multiview 3D reconstruction. CVPR Kalin Kolev, Daniel Cremers
2009	A*	`conf`	Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation. ICCV Thomas Schoenemann, Fredrik Kahl, Daniel Cremers
2009	—	`conf`	Detection and Segmentation of Independently Moving Objects from Dense Scene Flow. EMMCVPR Andreas Wedel, Annemarie Meißner, Clemens Rabe, Uwe Franke, Daniel Cremers
2009	A*	`conf`	Efficient planar graph cuts with applications in Computer Vision. CVPR Frank R. Schmidt, Eno Töppe, Daniel Cremers
2009	—	`ed.`	Energy Minimization Methods in Computer Vision and Pattern Recognition, 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings EMMCVPR Daniel Cremers, Yuri Boykov, Andrew Blake, Frank R. Schmidt
2009	A*	`conf`	Large displacement optical flow computation withoutwarping. ICCV Frank Steinbrücker, Thomas Pock, Daniel Cremers
2009	—	`conf`	Non-parametric Single View Reconstruction of Curved Objects Using Convex Optimization. DAGM-Symposium Martin R. Oswald, Eno Töppe, Kalin Kolev, Daniel Cremers
2009	J	`jnl`	On Local Region Models and a Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. Int. J. Comput. Vis. Thomas Brox, Daniel Cremers
2009	—	`ed.`	Statistical and Geometrical Approaches to Visual Motion Analysis, International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille, Frank R. Schmidt
2009	A*	`conf`	Structure- and motion-adaptive regularization for high accuracy optic flow. ICCV Andreas Wedel, Daniel Cremers, Thomas Pock, Horst Bischof
2009	A*	`conf`	Superresolution texture maps for multiview reconstruction. ICCV Bastian Goldlücke, Daniel Cremers
2009	—	`conf`	Variational Optical Flow from Alternate Exposure Images. VMV Anita Sellent, Martin Eisemann, Bastian Goldlücke, Thomas Pock, Daniel Cremers, Marcus A. Magnor
2009	—	`conf`	Video Super Resolution Using Duality Based TV-L1 Optical Flow. DAGM-Symposium Dennis Mitzel, Thomas Pock, Thomas Schoenemann, Daniel Cremers
2008	—	`conf`	08291 Abstracts Collection - Statistical and Geometrical Approaches to Visual Motion Analysis. Statistical and Geometrical Approaches to Visual Motion Analysis Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille
2008	J	`jnl`	3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination. Int. J. Comput. Vis. Hailin Jin, Daniel Cremers, Dejun Wang, Emmanuel Prados, Anthony J. Yezzi, Stefano Soatto
2008	—	`conf`	A Convex Formulation of Continuous Multi-label Problems. ECCV (3) Thomas Pock, Thomas Schoenemann, Gottfried Graber, Horst Bischof, Daniel Cremers
2008	—	`conf`	An Evaluation Approach for Scene Flow with Decoupled Motion and Position. Statistical and Geometrical Approaches to Visual Motion Analysis Andreas Wedel, Tobi Vaudrey, Annemarie Meißner, Clemens Rabe, Thomas Brox, Uwe Franke, Daniel Cremers
2008	—	`conf`	An Experimental Comparison of Discrete and Continuous Shape Optimization Methods. ECCV (1) Maria Klodt, Thomas Schoenemann, Kalin Kolev, Marek Schikora, Daniel Cremers
2008	—	`conf`	An Improved Algorithm for TV- Statistical and Geometrical Approaches to Visual Motion Analysis Andreas Wedel, Thomas Pock, Christopher Zach, Horst Bischof, Daniel Cremers
2008	—	`conf`	An Unbiased Second-Order Prior for High-Accuracy Motion Estimation. DAGM-Symposium Werner Trobin, Thomas Pock, Daniel Cremers, Horst Bischof
2008	—	`conf`	Continuous Energy Minimization Via Repeated Binary Fusion. ECCV (4) Werner Trobin, Thomas Pock, Daniel Cremers, Horst Bischof
2008	—	`conf`	Efficient Dense Scene Flow from Sparse or Dense Stereo Data. ECCV (1) Andreas Wedel, Clemens Rabe, Tobi Vaudrey, Thomas Brox, Uwe Franke, Daniel Cremers
2008	J	`jnl`	Efficient Nonlocal Means for Denoising of Textural Patterns. IEEE Trans. Image Process. Thomas Brox, Oliver Kleinschmidt, Daniel Cremers
2008	—	`conf`	Fast and exact solution of Total Variation models on the GPU. CVPR Workshops Thomas Pock, Markus Unger, Daniel Cremers, Horst Bischof
2008	A*	`conf`	Globally optimal shape-based tracking in real-time. CVPR Thomas Schoenemann, Daniel Cremers
2008	A*	`conf`	High resolution motion layer decomposition using dual-space graph cuts. CVPR Thomas Schoenemann, Daniel Cremers
2008	A	`conf`	Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces. BMVC Thomas Schoenemann, Frank R. Schmidt, Daniel Cremers
2008	—	`conf`	Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains. ECCV (1) Kalin Kolev, Daniel Cremers
2008	A*	`conf`	Markerless motion capture of man-machine interaction. CVPR Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Daniel Cremers, Hans-Peter Seidel
2008	A*	`conf`	Matching non-rigidly deformable shapes across images: A globally optimal solution. CVPR Thomas Schoenemann, Daniel Cremers
2008	—	`conf`	Modeling and Tracking Line-Constrained Mechanical Systems. RobVis Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel
2008	J	`jnl`	Nonlinear Dynamical Shape Priors for Level Set Segmentation. J. Sci. Comput. Daniel Cremers
2008	A*	`conf`	Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions. CVPR Daniel Cremers, Frank R. Schmidt, Frank Barthel
2008	—	`ed.`	Statistical and Geometrical Approaches to Visual Motion Analysis, 13.07. - 18.07.2008 Statistical and Geometrical Approaches to Visual Motion Analysis Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille
2008	A	`conf`	TVSeg - Interactive Total Variation Based Image Segmentation. BMVC Markus Unger, Thomas Pock, Werner Trobin, Daniel Cremers, Horst Bischof
2007	J	`jnl`	A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape. Int. J. Comput. Vis. Daniel Cremers, Mikaël Rousson, Rachid Deriche
2007	B	`conf`	A probabilistic level set formulation for interactive organ segmentation. Image Processing Daniel Cremers, Oliver Fluck, Mikaël Rousson, Shmuel Aharon
2007	—	`conf`	Continuous Global Optimization in Multiview 3D Reconstruction. EMMCVPR Kalin Kolev, Maria Klodt, Thomas Brox, Selim Esedoglu, Daniel Cremers
2007	—	`conf`	Efficient Shape Matching Via Graph Cuts. EMMCVPR Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov
2007	—	`ed.`	Energy Minimization Methods in Computer Vision and Pattern Recognition, 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings EMMCVPR Alan L. Yuille, Song Chun Zhu, Daniel Cremers, Yongtian Wang
2007	A*	`conf`	Fast Matching of Planar Shapes in Sub-cubic Runtime. ICCV Frank R. Schmidt, Dirk Farin, Daniel Cremers
2007	A*	`conf`	Globally Optimal Image Segmentation with an Elastic Shape Prior. ICCV Thomas Schoenemann, Daniel Cremers
2007	—	`conf`	Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts. DAGM-Symposium Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov
2007	A*	`conf`	Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs. ICCV Thomas Schoenemann, Daniel Cremers
2007	—	`conf`	Iterated Nonlocal Means for Texture Restoration. SSVM Thomas Brox, Daniel Cremers
2007	A*	`conf`	Nonlinear Dynamical Shape Priors for Level Set Segmentation. CVPR Daniel Cremers
2007	—	`conf`	Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking. Workshop on Human Motion Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel
2007	—	`conf`	Occlusion Modeling by Tracking Multiple Objects. DAGM-Symposium Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Daniel Cremers, Lennart Wietzke, Gerald Sommer
2007	—	`conf`	On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. SSVM Thomas Brox, Daniel Cremers
2007	—	`conf`	Online Smoothing for Markerless Motion Capture. DAGM-Symposium Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel
2007	—	`conf`	Region-Based Pose Tracking. IbPRIA (2) Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Joachim Weickert, Lennart Wietzke, Gerald Sommer
2007	—	`conf`	WarpCut - Fast Obstacle Segmentation in Monocular Video. DAGM-Symposium Andreas Wedel, Thomas Schoenemann, Thomas Brox, Daniel Cremers
2006	—	`conf`	4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences. MICCAI (1) Timo Kohlberger, Daniel Cremers, Mikaël Rousson, Ramamani Ramaraj, Gareth Funka-Lea
2006	C	`conf`	A Comparison of Shape Matching Methods for Contour Based Pose Estimation. IWCIA Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel
2006	J	`jnl`	A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation. Int. J. Comput. Vis. Daniel Cremers, Nir A. Sochen, Christoph Schnörr
2006	—	`conf`	An Integral Solution to Surface Evolution PDEs Via Geo-cuts. ECCV (3) Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers, Andrew Delong
2006	—	`conf`	Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos. Human Motion Thomas Brox, Bodo Rosenhahn, Daniel Cremers
2006	J	`jnl`	Dynamical Statistical Shape Priors for Level Set-Based Tracking. IEEE Trans. Pattern Anal. Mach. Intell. Daniel Cremers
2006	—	`conf`	GPU histogram computation. SIGGRAPH Research Posters Oliver Fluck, Shmuel Aharon, Daniel Cremers, Mikaël Rousson
2006	—	`conf`	High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints. ECCV (2) Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel
2006	—	`ch.`	Integral Invariants and Shape Matching. Statistics and Analysis of Shapes Siddharth Manay, Daniel Cremers, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
2006	J	`jnl`	Integral Invariants for Shape Matching. IEEE Trans. Pattern Anal. Mach. Intell. Siddharth Manay, Daniel Cremers, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
2006	J	`jnl`	Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation. Int. J. Comput. Vis. Daniel Cremers, Stanley J. Osher, Stefano Soatto
2006	—	`conf`	Near Real-Time Motion Segmentation Using Graph Cuts. DAGM-Symposium Thomas Schoenemann, Daniel Cremers
2006	—	`conf`	Nonparametric Density Estimation for Human Pose Tracking. DAGM-Symposium Thomas Brox, Bodo Rosenhahn, Uwe G. Kersting, Daniel Cremers
2006	—	`conf`	Nonparametric Priors on the Space of Joint Intensity Distributions for Non-Rigid Multi-Modal Image Registration. CVPR (2) Daniel Cremers, Christoph Guetter, Chenyang Xu
2006	—	`conf`	Realtime Depth Estimation and Obstacle Detection from Monocular Video. DAGM-Symposium Andreas Wedel, Uwe Franke, Jens Klappstein, Thomas Brox, Daniel Cremers
2006	—	`conf`	Robust Variational Segmentation of 3D Objects from Multiple Views. DAGM-Symposium Kalin Kolev, Thomas Brox, Daniel Cremers
2006	—	`conf`	Shape Matching by Variational Computation of Geodesics on a Manifold. DAGM-Symposium Frank R. Schmidt, Michael Clausen, Daniel Cremers
2006	—	`conf`	Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts. ECCV (3) Daniel Cremers, Leo J. Grady
2006	—	`ch.`	Variational Segmentation with Shape Priors. Handbook of Mathematical Models in Computer Vision Martin Bergtholdt, Daniel Cremers, Christoph Schnörr
2005	—	`conf`	Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation. VLSM Daniel Cremers, Gareth Funka-Lea
2005	—	`conf`	Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation. MICCAI (2) Mikaël Rousson, Daniel Cremers
2005	—	`conf`	One-Shot Integral Invariant Shape Priors for Variational Segmentation. EMMCVPR Siddharth Manay, Daniel Cremers, Anthony J. Yezzi, Stefano Soatto
2004	—	`conf`	Bayesian Approaches to Motion-Based Image and Video Segmentation. IWCM Daniel Cremers
2004	—	`conf`	Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk. DAGM-Symposium Daniel Cremers, Stanley J. Osher, Stefano Soatto
2004	J	`jnl`	Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation. Int. J. Comput. Vis. Daniel Cremers, Stefano Soatto
2004	—	`conf`	Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. ECCV (4) Daniel Cremers, Nir A. Sochen, Christoph Schnörr
2004	—	`conf`	Shedding Light on Stereoscopic Segmentation. CVPR (1) Hailin Jin, Daniel Cremers, Anthony J. Yezzi, Stefano Soatto
2003	—	`conf`	A Generative Model Based Approach to Motion Segmentation. DAGM-Symposium Daniel Cremers, Alan L. Yuille
2003	—	`conf`	A Multiphase Level Set Framework for Motion Segmentation. Scale-Space Daniel Cremers
2003	—	`conf`	A Variational Framework for Image Segmentation Combining Motion Estimation and Shape Regularization. CVPR (1) Daniel Cremers
2003	J	`jnl`	Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming. IEEE Trans. Pattern Anal. Mach. Intell. Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers
2003	A*	`conf`	Dynamic Texture Segmentation. ICCV Gianfranco Doretto, Daniel Cremers, Paolo Favaro, Stefano Soatto
2003	J	`jnl`	Shape statistics in kernel space for variational image segmentation. Pattern Recognit. Daniel Cremers, Timo Kohlberger, Christoph Schnörr
2003	J	`jnl`	Statistical shape knowledge in variational motion segmentation. Image Vis. Comput. Daniel Cremers, Christoph Schnörr
2003	—	`conf`	Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. Scale-Space Daniel Cremers, Nir A. Sochen, Christoph Schnörr
2003	A*	`conf`	Variational Space-Time Motion Segmentation. ICCV Daniel Cremers, Stefano Soatto
2002	J	`jnl`	Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional. Int. J. Comput. Vis. Daniel Cremers, Florian Tischhäuser, Joachim Weickert, Christoph Schnörr
2002	—	`conf`	Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization. DAGM-Symposium Daniel Cremers, Christoph Schnörr
2002	—	`conf`	Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. ECCV (2) Daniel Cremers, Timo Kohlberger, Christoph Schnörr
2002	—	`—`	Statistical shape knowledge in variational image segmentation. Daniel Cremers
2002	—	`ch.`	Statistisches Formenwissen in Variationsansätzen zur Bildsegmentierung. Ausgezeichnete Informatikdissertationen Daniel Cremers
2002	J	`jnl`	Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate Descriptions and Integrate-and-Fire Dynamics. Neural Comput. Daniel Cremers, Andreas V. M. Herz
2002	—	`conf`	Unsupervised Image Partitioning with Semidefinite Programming. DAGM-Symposium Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers
2001	—	`conf`	Convex Relaxations for Binary Image Partitioning and Perceptual Grouping. DAGM-Symposium Jens Keuchel, Christian Schellewald, Daniel Cremers, Christoph Schnörr
2001	—	`conf`	Nonlinear Shape Statistics via Kernel Spaces. DAGM-Symposium Daniel Cremers, Timo Kohlberger, Christoph Schnörr
2000	—	`conf`	Diffusion-Snakes Using Statistical Shape Knowledge. AFPAC Daniel Cremers, Christoph Schnörr, Joachim Weickert, Christian Schellewald