Cremers, Daniel

219 publications

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

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

ICCV 2025 Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction Weirong Chen, Ganlin Zhang, Felix Wimbauer, Rui Wang, Nikita Araslanov, Andrea Vedaldi, Daniel Cremers

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

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

ICCV 2025 Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion Aleksandar Jevtić, Christoph Reich, Felix Wimbauer, Oliver Hahn, Christian Rupprecht, Stefan Roth, Daniel Cremers

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

NeurIPS 2025 FlowFeat: Pixel-Dense Embedding of Motion Profiles Nikita Araslanov, Anna Ribic, Daniel Cremers

ICCV 2025 GECO: Geometrically Consistent Embedding with Lightspeed Inference Regine Hartwig, Dominik Muhle, Riccardo Marin, Daniel Cremers

ICLRW 2025 Graph Networks Struggle with Variable Scale Christian Koke, Yuesong Shen, Abhishek Saroha, Marvin Eisenberger, Bastian Rieck, Michael M. Bronstein, Daniel Cremers

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

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

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

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

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

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

CoRL 2025 OPAL: Visibility-Aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion Shuhao Kang, Youqi Liao, Yan Xia, Olaf Wysocki, Boris Jutzi, Daniel Cremers

ICLRW 2025 On Incorporating Scale into Graph Networks Christian Koke, Yuesong Shen, Abhishek Saroha, Marvin Eisenberger, Bastian Rieck, Michael M. Bronstein, Daniel Cremers

ICLRW 2025 On Multi-Scale Graph Representation Learning Christian Koke, Dominik Schnaus, Yuesong Shen, Abhishek Saroha, Marvin Eisenberger, Bastian Rieck, Michael M. Bronstein, Daniel Cremers

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

NeurIPS 2025 OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata Oussema Dhaouadi, Riccardo Marin, Johannes Michael Meier, Jacques Kaiser, Daniel Cremers

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

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

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

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

CVPR 2025 SparseAlign: A Fully Sparse Framework for Cooperative Object Detection Yunshuang Yuan, Yan Xia, Daniel Cremers, Monika Sester

ICCV 2025 TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Yan Xia, Yunxiang Lu, Rui Song, Oussema Dhaouadi, João F. Henriques, Daniel Cremers

NeurIPS 2025 UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception Karthikeyan Chandra Sekaran, Markus Geisler, Dominik Rößle, Adithya Mohan, Daniel Cremers, Wolfgang Utschick, Michael Botsch, Werner Huber, Torsten Schön

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

CVPRW 2024 A Perspective on Deep Vision Performance with Standard Image and Video Codecs Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath

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

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

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

CVPR 2024 Cache Me if You Can: Accelerating Diffusion Models Through Block Caching Felix Wimbauer, Bichen Wu, Edgar Schoenfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang

CVPRW 2024 Deep Video Codec Control for Vision Models Christoph Reich, Biplob Debnath, Deep Patel, Tim Prangemeier, Daniel Cremers, Srimat Chakradhar

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

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

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

WACV 2024 FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions Tarun Yenamandra, Ayush Tewari, Nan Yang, Florian Bernard, Christian Theobalt, Daniel Cremers

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

CVPR 2024 Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincare Ball Simon Weber, Bar?? Zöngür, Nikita Araslanov, Daniel Cremers

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

ICLR 2024 HoloNets: Spectral Convolutions Do Extend to Directed Graphs Christian Koke, Daniel Cremers

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

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

TMLR 2024 MaskBit: Embedding-Free Image Generation via Bit Tokens Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen

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

ECCV 2024 MeshFeat: Multi-Resolution Features for Neural Fields on Meshes Mihir Mahajan, Florian Hofherr, Daniel Cremers

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

ECCV 2024 Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment Simon Weber, Je Hyeong Hong, Daniel Cremers

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

CVPR 2024 Sparse Views near Light: A Practical Paradigm for Uncalibrated Point-Light Photometric Stereo Mohammed Brahimi, Bjoern Haefner, Zhenzhang Ye, Bastian Goldluecke, Daniel Cremers

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

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

CVPR 2024 Text2Loc: 3D Point Cloud Localization from Natural Language Yan Xia, Letian Shi, Zifeng Ding, Joao F. Henriques, Daniel Cremers

ICMLW 2024 Transferability for Graph Convolutional Networks Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Michael M. Bronstein, Daniel Cremers

ICML 2024 Variational Learning Is Effective for Large Deep Networks Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Bazan Clement Emile Marcel Raoul, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff

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

CVPR 2023 Behind the Scenes: Density Fields for Single View Reconstruction Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers

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

ICCV 2023 CASSPR: Cross Attention Single Scan Place Recognition Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F Henriques, Daniel Cremers

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

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

WACV 2023 High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF Lu Sang, Björn Häfner, Xingxing Zuo, Daniel Cremers

NeurIPSW 2023 HoloNets: Spectral Convolutions Do Extend to Directed Graphs Christian Koke, Daniel Cremers

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

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

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

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

NeurIPSW 2023 ResolvNet: A Graph Convolutional Network with Multi-Scale Consistency Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Daniel Cremers

ICCV 2023 SIGMA: Scale-Invariant Global Sparse Shape Matching Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Moeller, Daniel Cremers, Florian Bernard

CVPRW 2023 Scan2LoD3: Reconstructing Semantic 3D Building Models at LoD3 Using Ray Casting and Bayesian Networks Olaf Wysocki, Yan Xia, Magdalena Wysocki, Eleonora Grilli, Ludwig Hoegner, Daniel Cremers, Uwe Stilla

TMLR 2023 Semantic Self-Adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth

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

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

NeurIPSW 2022 A Graph Is More than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs Hans Hao-Hsun Hsu, Yuesong Shen, Daniel Cremers

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

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

NeurIPS 2022 Deep Combinatorial Aggregation Yuesong Shen, Daniel Cremers

CVPR 2022 DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çağlar Şenaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé

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

ECCV 2022 Intrinsic Neural Fields: Learning Functions on Manifolds Lukas Koestler, Daniel Grittner, Michael Moeller, Daniel Cremers, Zorah Lähner

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

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

ECCV 2022 Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration Christian Tomani, Daniel Cremers, Florian Buettner

CVPR 2022 The Probabilistic Normal Epipolar Constraint for Frame-to-Frame Rotation Optimization Under Uncertain Feature Positions Dominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard, Daniel Cremers

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

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

UAI 2021 Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification Yu Wang, Yuesong Shen, Daniel Cremers

CVPR 2021 Isometric Multi-Shape Matching Maolin Gao, Zorah Lahner, Johan Thunberg, Daniel Cremers, Florian Bernard

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

CVPR 2021 NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go Marvin Eisenberger, David Novotny, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi

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

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

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

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

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

CoRL 2021 TANDEM: Tracking and Dense Mapping in Real-Time Using Deep Multi-View Stereo Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers

ICML 2021 Variational Data Assimilation with a Learned Inverse Observation Operator Thomas Frerix, Dmitrii Kochkov, Jamie Smith, Daniel Cremers, Michael Brenner, Stephan Hoyer

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

ECCV 2020 DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization Juan Du, Rui Wang, Daniel Cremers

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

ECML-PKDD 2020 Effective Version Space Reduction for Convolutional Neural Networks Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers

ECCV 2020 Hamiltonian Dynamics for Real-World Shape Interpolation Marvin Eisenberger, Daniel Cremers

CVPRW 2020 Homogeneous Linear Inequality Constraints for Neural Network Activations Thomas Frerix, Matthias Nießner, Daniel Cremers

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

AISTATS 2020 Optimization of Graph Total Variation via Active-Set-Based Combinatorial Reconditioning Zhenzhang Ye, Thomas Möllenhoff, Tao Wu, Daniel Cremers

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

AISTATS 2019 Optimization of Inf-Convolution Regularized Nonconvex Composite Problems Emanuel Laude, Tao Wu, Daniel Cremers

AISTATS 2018 A Nonconvex Proximal Splitting Algorithm Under Moreau-Yosida Regularization Emanuel Laude, Tao Wu, Daniel Cremers

AISTATS 2018 Combinatorial Preconditioners for Proximal Algorithms on Graphs Thomas Möllenhoff, Zhenzhang Ye, Tao Wu, Daniel Cremers

ECCV 2018 Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry Nan Yang, Rui Wang, Jorg Stuckler, Daniel Cremers

ECCV 2018 DeepWrinkles: Accurate and Realistic Clothing Modeling Zorah Lahner, Daniel Cremers, Tony Tung

ECCV 2018 Direct Sparse Odometry with Rolling Shutter David Schubert, Nikolaus Demmel, Vladyslav Usenko, Jorg Stuckler, Daniel Cremers

CVPRW 2018 Fusion of Head and Full-Body Detectors for Multi-Object Tracking Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn

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

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

ICLR 2018 Proximal Backpropagation Thomas Frerix, Thomas Möllenhoff, Michael Moeller, Daniel Cremers

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

CVPR 2017 A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting Yvain Queau, Tao Wu, Francois Lauze, Jean-Denis Durou, Daniel Cremers

CVPR 2017 An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Surface Models Mariano Jaimez, Thomas J. Cashman, Andrew Fitzgibbon, Javier Gonzalez-Jimenez, Daniel Cremers

ICCV 2017 Associative Domain Adaptation Philip Haeusser, Thomas Frerix, Alexander Mordvintsev, Daniel Cremers

ICCVW 2017 Depth Super-Resolution Meets Uncalibrated Photometric Stereo Songyou Peng, Bjoern Haefner, Yvain Quéau, Daniel Cremers

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

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

CVPR 2017 KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences Miroslava Slavcheva, Maximilian Baust, Daniel Cremers, Slobodan Ilic

ICCV 2017 Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems Tim Meinhardt, Michael Moller, Caner Hazirbas, Daniel Cremers

CVPR 2017 Learning by Association -- a Versatile Semi-Supervised Training Method for Neural Networks Philip Haeusser, Alexander Mordvintsev, Daniel Cremers

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

CVPR 2017 Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space Matthias Vestner, Roee Litman, Emanuele Rodola, Alex Bronstein, Daniel Cremers

ICCV 2017 Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras Rui Wang, Martin Schworer, Daniel Cremers

ICCV 2017 Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems Thomas Mollenhoff, Daniel Cremers

ECCV 2016 A Convex Solution to Spatially-Regularized Correspondence Problems Thomas Windheuser, Daniel Cremers

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

CVPR 2016 Efficient Globally Optimal 2D-to-3D Deformable Shape Matching Zorah Lahner, Emanuele Rodola, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers

ECCV 2016 Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding Ioannis Chiotellis, Rudolph Triebel, Thomas Windheuser, Daniel Cremers

NeurIPS 2016 Protein Contact Prediction from Amino Acid Co-Evolution Using Convolutional Networks for Graph-Valued Images Vladimir Golkov, Marcin J Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers

ECCV 2016 Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers

CVPR 2016 Sublabel-Accurate Relaxation of Nonconvex Energies Thomas Mollenhoff, Emanuel Laude, Michael Moeller, Jan Lellmann, Daniel Cremers

CVPR 2015 Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Torsello, Emanuele Rodola, Daniel Cremers

ICCV 2015 Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras Christian Kerl, Jorg Stuckler, Daniel Cremers

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

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

ICCV 2015 Learning Nonlinear Spectral Filters for Color Image Reconstruction Michael Moeller, Julia Diebold, Guy Gilboa, Daniel Cremers

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

ECCV 2014 Anisotropic Laplace-Beltrami Operators for Shape Analysis Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers

ECCVW 2014 Anisotropic Laplace-Beltrami Operators for Shape Analysis Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers

ECCV 2014 Co-Sparse Textural Similarity for Interactive Segmentation Claudia Nieuwenhuis, Simon Hawe, Martin Kleinsteuber, Daniel Cremers

CVPR 2014 Dense Non-Rigid Shape Correspondence Using Random Forests Emanuele Rodola, Samuel Rota Bulo, Thomas Windheuser, Matthias Vestner, Daniel Cremers

ECCV 2014 Generalized Connectivity Constraints for Spatio-Temporal 3D Reconstruction Martin Ralf Oswald, Jan Stühmer, Daniel Cremers

ECCV 2014 High-Resolution Plant Shape Measurements from Multi-View Stereo Reconstruction Maria Klodt, Daniel Cremers

ECCVW 2014 High-Resolution Plant Shape Measurements from Multi-View Stereo Reconstruction Maria Klodt, Daniel Cremers

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

ECCV 2014 Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional Evgeny Strekalovskiy, Daniel Cremers

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

ICCVW 2013 A Convex Relaxation Approach to Space Time Multi-View 3D Reconstruction Martin R. Oswald, Daniel Cremers

ICCVW 2013 Convex Optimization for Scene Understanding Mohamed Souiai, Claudia Nieuwenhuis, Evgeny Strekalovskiy, Daniel Cremers

ICCV 2013 Elastic Net Constraints for Shape Matching Emanuele Rodola, Andrea Torsello, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers

ICCVW 2013 Fast and Accurate Large-Scale Stereo Reconstruction Using Variational Methods Georg Kuschk, Daniel Cremers

ICCV 2013 Large-Scale Multi-Resolution Surface Reconstruction from RGB-D Sequences Frank Steinbrucker, Christian Kerl, Daniel Cremers

ICCV 2013 Proportion Priors for Image Sequence Segmentation Claudia Nieuwenhuis, Evgeny Strekalovskiy, Daniel Cremers

ICCVW 2013 Proximity Priors for Variational Semantic Segmentation and Recognition Julia Bergbauer, Claudia Nieuwenhuis, Mohamed Souiai, Daniel Cremers

CVPR 2013 Relative Volume Constraints for Single View 3D Reconstruction Eno Toppe, Claudia Nieuwenhuis, Daniel Cremers

ICCV 2013 Semi-Dense Visual Odometry for a Monocular Camera Jakob Engel, Jurgen Sturm, Daniel Cremers

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

ICCV 2013 Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs Jan Stuhmer, Peter Schroder, Daniel Cremers

CVPR 2012 A Convex Representation for the Vectorial Mumford-Shah Functional Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers

CVPR 2012 Fast and Globally Optimal Single View Reconstruction of Curved Objects Martin R. Oswald, Eno Töppe, Daniel Cremers

ECCV 2012 Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency Thomas Windheuser, Hiroshi Ishikawa, Daniel Cremers

ECCV 2012 Nonmetric Priors for Continuous Multilabel Optimization Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers

ECCV 2012 Wehrli 2.0: An Algorithm for "Tidying up Art" Nikolai Ufer, Mohamed Souiai, Daniel Cremers

ECCVW 2012 Wehrli 2.0: An Algorithm for "Tidying up Art" Nikolai Ufer, Mohamed Souiai, Daniel Cremers

ICCV 2011 A Convex Framework for Image Segmentation with Moment Constraints Maria Klodt, Daniel Cremers

ICCV 2011 Decoupling Photometry and Geometry in Dense Variational Camera Calibration Mathieu Aubry, Kalin Kolev, Bastian Goldlücke, Daniel Cremers

ICCV 2011 Generalized Ordering Constraints for Multilabel Optimization Evgeny Strekalovskiy, Daniel Cremers

ICCV 2011 Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers

ICCV 2011 Introducing Total Curvature for Image Processing Bastian Goldlücke, Daniel Cremers

ICCV 2011 Tight Convex Relaxations for Vector-Valued Labeling Problems Evgeny Strekalovskiy, Bastian Goldlücke, Daniel Cremers

CVPR 2011 Total Variation for Cyclic Structures: Convex Relaxation and Efficient Minimization Evgeny Strekalovskiy, Daniel Cremers

CVPR 2010 An Approach to Vectorial Total Variation Based on Geometric Measure Theory Bastian Goldlücke, Daniel Cremers

ECCV 2010 Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo Kalin Kolev, Thomas Pock, Daniel Cremers

ECCV 2010 Convex Relaxation for Multilabel Problems with Product Label Spaces Bastian Goldlücke, Daniel Cremers

ECCV 2010 Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera Jan Stühmer, Stefan Gumhold, Daniel Cremers

ECCVW 2010 Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera Jan Stühmer, Stefan Gumhold, Daniel Cremers

CVPR 2009 A Convex Relaxation Approach for Computing Minimal Partitions Thomas Pock, Antonin Chambolle, Daniel Cremers, Horst Bischof

ICCV 2009 An Algorithm for Minimizing the Mumford-Shah Functional Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle

ICCV 2009 Beyond Connecting the Dots: A Polynomial-Time Algorithm for Segmentation and Boundary Estimation with Imprecise User Input Thomas Windheuser, Thomas Schoenemann, Daniel Cremers

CVPR 2009 Continuous Ratio Optimization via Convex Relaxation with Applications to Multiview 3D Reconstruction Kalin Kolev, Daniel Cremers

ICCV 2009 Curvature Regularity for Region-Based Image Segmentation and Inpainting: A Linear Programming Relaxation Thomas Schoenemann, Fredrik Kahl, Daniel Cremers

CVPR 2009 Efficient Planar Graph Cuts with Applications in Computer Vision Frank R. Schmidt, Eno Töppe, Daniel Cremers

ICCV 2009 Large Displacement Optical Flow Computation Withoutwarping Frank Steinbrücker, Thomas Pock, Daniel Cremers

ICCV 2009 Structure- and Motion-Adaptive Regularization for High Accuracy Optic Flow Andreas Wedel, Daniel Cremers, Thomas Pock, Horst Bischof

ICCV 2009 Superresolution Texture Maps for Multiview Reconstruction Bastian Goldlücke, Daniel Cremers

ECCV 2008 A Convex Formulation of Continuous Multi-Label Problems Thomas Pock, Thomas Schoenemann, Gottfried Graber, Horst Bischof, Daniel Cremers

ECCV 2008 An Experimental Comparison of Discrete and Continuous Shape Optimization Methods Maria Klodt, Thomas Schoenemann, Kalin Kolev, Marek Schikora, Daniel Cremers

ECCV 2008 Continuous Energy Minimization via Repeated Binary Fusion Werner Trobin, Thomas Pock, Daniel Cremers, Horst Bischof

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

CVPRW 2008 Fast and Exact Solution of Total Variation Models on the GPU Thomas Pock, Markus Unger, Daniel Cremers, Horst Bischof

CVPR 2008 Globally Optimal Shape-Based Tracking in Real-Time Thomas Schoenemann, Daniel Cremers

CVPR 2008 High Resolution Motion Layer Decomposition Using Dual-Space Graph Cuts Thomas Schoenemann, Daniel Cremers

ECCV 2008 Integration of Multiview Stereo and Silhouettes via Convex Functionals on Convex Domains Kalin Kolev, Daniel Cremers

CVPR 2008 Markerless Motion Capture of Man-Machine Interaction Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Daniel Cremers, Hans-Peter Seidel

CVPR 2008 Matching Non-Rigidly Deformable Shapes Across Images: A Globally Optimal Solution Thomas Schoenemann, Daniel Cremers

CVPR 2008 Shape Priors in Variational Image Segmentation: Convexity, Lipschitz Continuity and Globally Optimal Solutions Daniel Cremers, Frank R. Schmidt, Frank Barthel

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

ICCV 2007 Globally Optimal Image Segmentation with an Elastic Shape Prior Thomas Schoenemann, Daniel Cremers

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

CVPR 2007 Nonlinear Dynamical Shape Priors for Level Set Segmentation Daniel Cremers

ECCV 2006 An Integral Solution to Surface Evolution PDEs via Geo-Cuts Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers, Andrew Delong

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

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

ECCV 2006 Statistical Priors for Efficient Combinatorial Optimization via Graph Cuts Daniel Cremers, Leo J. Grady

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

CVPR 2004 Shedding Light on Stereoscopic Segmentation Hailin Jin, Daniel Cremers, Anthony J. Yezzi, Stefano Soatto

CVPR 2003 A Variational Framework for Image Segmentation Combining Motion Estimation and Shape Regularization Daniel Cremers

ICCV 2003 Dynamic Texture Segmentation Gianfranco Doretto, Daniel Cremers, Paolo Favaro, Stefano Soatto

ICCV 2003 Variational Space-Time Motion Segmentation Daniel Cremers, Stefano Soatto

ECCV 2002 Nonlinear Shape Statistics in Mumford-Shah Based Segmentation Daniel Cremers, Timo Kohlberger, Christoph Schnörr

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