Daniel Cremers

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 422

Top Venues

University of Mannheim, Germany (PHD)

Education History

University of Mannheim, Germany

PHD

Publications

Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taixé
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation. CoRR (2024)
Dominik Rößle, Jeremias Gerner, Klaus Bogenberger, Daniel Cremers, Stefanie Schmidtner, Torsten Schön
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction. CoRR (2024)
Gengyuan Zhang, Mang Ling Ada Fok, Yan Xia, Yansong Tang, Daniel Cremers, Philip H. S. Torr, Volker Tresp, Jindong Gu
Localizing Events in Videos with Multimodal Queries. CoRR (2024)
Moritz Zaiss, Junaid R. Rajput, Hoai Nam Dang, Vladimir Golkov, Daniel Cremers, Florian Knoll, Andreas K. Maier
Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR. Bildverarbeitung für die Medizin (2024)
Yun-Jin Li, Mariia Gladkova, Yan Xia, Rui Wang, Daniel Cremers
VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition. CoRR (2024)
Mohammed Brahimi, Bjoern Haefner, Tarun Yenamandra, Bastian Goldluecke, Daniel Cremers
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering. WACV (2024)
Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting. CoRR (2024)
Abhishek Saroha, Mariia Gladkova, Cecilia Curreli, Tarun Yenamandra, Daniel Cremers
Gaussian Splatting in Style. CoRR (2024)
Simon Weber, Thomas Dagès, Maolin Gao, Daniel Cremers
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis. CoRR (2024)
Simon Klenk, David Bonello, Lukas Koestler, Nikita Araslanov, Daniel Cremers
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras. WACV (2024)
Viktoria Ehm, Maolin Gao, Paul Roetzer, Marvin Eisenberger, Daniel Cremers, Florian Bernard
Partial-to-Partial Shape Matching with Geometric Consistency. CoRR (2024)
Simon Weber, Je Hyeong Hong, Daniel Cremers
Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment. CoRR (2024)
Dominik Rößle, Jeremias Gerner, Klaus Bogenberger, Daniel Cremers, Stefanie Schmidtner, Torsten Schön
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction. IV (2024)
Zhenzhang Ye, Gabriel Peyré, Daniel Cremers, Pierre Ablin
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization. CoRR (2024)
Mihir Mahajan, Florian Hofherr, Daniel Cremers
MeshFeat: Multi-Resolution Features for Neural Fields on Meshes. CoRR (2024)
Bangyan Liao, Zhenjun Zhao, Lu Chen, Haoang Li, Daniel Cremers, Peidong Liu
GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation. CoRR (2024)
Christian Tomani, Kamalika Chaudhuri, Ivan Evtimov, Daniel Cremers, Mark Ibrahim
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations. CoRR (2024)
Yan Xia, Ran Ding, Ziyuan Qin, Guanqi Zhan, Kaichen Zhou, Long Yang, Hao Dong, Daniel Cremers
TARGO: Benchmarking Target-driven Object Grasping under Occlusions. CoRR (2024)
Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp
Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. WACV (2024)
Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath
A Perspective on Deep Vision Performance with Standard Image and Video Codecs. CoRR (2024)
Fabian Bongratz, Vladimir Golkov, Lukas Mautner, Luca Della Libera, Frederik Heetmeyer, Felix Czaja, Julian Rodemann, Daniel Cremers
How to Choose a Reinforcement-Learning Algorithm. CoRR (2024)
Keonhee Han, Dominik Muhle, Felix Wimbauer, Daniel Cremers
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation. CoRR (2024)
Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
An Image is Worth 32 Tokens for Reconstruction and Generation. CoRR (2024)
Simon Weber, Baris Zöngür, Nikita Araslanov, Daniel Cremers
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar\'e Ball. CoRR (2024)
Dekai Zhu, Qadeer Khan, Daniel Cremers
Multi-vehicle trajectory prediction and control at intersections using state and intention information. Neurocomputing 574 (2024)
Adrian Hayler, Felix Wimbauer, Dominik Muhle, Christian Rupprecht, Daniel Cremers
S4C: Self-Supervised Semantic Scene Completion With Neural Fields. 3DV (2024)
Dongliang Cao, Marvin Eisenberger, Nafie El Amrani, Daniel Cremers, Florian Bernard
Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation. CoRR (2024)
Tarun Yenamandra, Ayush Tewari, Nan Yang, Florian Bernard, Christian Theobalt, Daniel Cremers
FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions. WACV (2024)
Christian Koke, Daniel Cremers
HoloNets: Spectral Convolutions do extend to Directed Graphs. ICLR (2024)
Viktoria Ehm, Paul Roetzer, Marvin Eisenberger, Maolin Gao, Florian Bernard, Daniel Cremers
Geometrically Consistent Partial Shape Matching. 3DV (2024)
Simon Klenk, Marvin Motzet, Lukas Koestler, Daniel Cremers
Deep Event Visual Odometry. 3DV (2024)
Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff
Variational Learning is Effective for Large Deep Networks. CoRR (2024)
Zhenzhang Ye, Gabriel Peyré, Daniel Cremers, Pierre Ablin
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization. AISTATS (2024)
Sergei Solonets, Daniil Sinitsyn, Lukas von Stumberg, Nikita Araslanov, Daniel Cremers
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment. ICLR (2024)
Mohammed Brahimi, Bjoern Haefner, Zhenzhang Ye, Bastian Goldluecke, Daniel Cremers
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo. CoRR (2024)
Christian Koke, Daniel Cremers
HoloNets: Spectral Convolutions do extend to Directed Graphs. CoRR (2023)
Linus Härenstam-Nielsen, Niclas Zeller, Daniel Cremers
Semidefinite Relaxations for Robust Multiview Triangulation. CVPR (2023)
Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CoRR (2023)
Olaf Wysocki, Yan Xia, Magdalena Wysocki, Eleonora Grilli, Ludwig Hoegner, Daniel Cremers, Uwe Stilla
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks. CVPR Workshops (2023)
Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers
E-NeRF: Neural Radiance Fields From a Moving Event Camera. IEEE Robotics Autom. Lett. 8 (3) (2023)
Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. CoRR (2023)
Jiaxin Pan, Changyao Zhou, Mariia Gladkova, Qadeer Khan, Daniel Cremers
Robust Autonomous Vehicle Pursuit Without Expert Steering Labels. IEEE Robotics Autom. Lett. 8 (10) (2023)
Florian Hofherr, Lukas Koestler, Florian Bernard, Daniel Cremers
Neural Implicit Representations for Physical Parameter Inference from a Single Video. WACV (2023)
Simon Klenk, Marvin Motzet, Lukas Koestler, Daniel Cremers
Deep Event Visual Odometry. CoRR (2023)
Jonathan Schmidt, Qadeer Khan, Daniel Cremers
LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels. ITSC (2023)
Linus Härenstam-Nielsen, Niclas Zeller, Daniel Cremers
Semidefinite Relaxations for Robust Multiview Triangulation. CoRR (2023)
Jonathan Schmidt, Qadeer Khan, Daniel Cremers
LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels. CoRR (2023)
Viktoria Ehm, Daniel Cremers, Florian Bernard
Non-Separable Multi-Dimensional Network Flows for Visual Computing. CoRR (2023)
Haoang Li, Jinhu Dong, Binghui Wen, Ming Gao, Tianyu Huang, Yun-Hui Liu, Daniel Cremers
DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates. ICCV (2023)
Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Daniel Cremers
Quality Control at Your Fingertips: Quality-Aware Translation Models. CoRR (2023)
Hoai Nam Dang, Vladimir Golkov, Thomas Wimmer, Daniel Cremers, Andreas K. Maier, Moritz Zaiss
Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution. CoRR (2023)
Yiming Shan, Yan Xia, Yuhong Chen, Daniel Cremers
SCP: Scene Completion Pre-training for 3D Object Detection. CoRR (2023)
Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers
Text2Loc: 3D Point Cloud Localization from Natural Language. CoRR (2023)
Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth
Semantic Self-adaptation: Enhancing Generalization with a Single Sample. Trans. Mach. Learn. Res. 2023 (2023)
Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers
Behind the Scenes: Density Fields for Single View Reconstruction. CoRR (2023)
Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CVPR (2023)
Olaf Wysocki, Yan Xia, Magdalena Wysocki, Eleonora Grilli, Ludwig Hoegner, Daniel Cremers, Uwe Stilla
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks. CoRR (2023)
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
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CoRR (2023)
Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. ICML (2023)
Lu Sang, Abhishek Saroha, Maolin Gao, Daniel Cremers
Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling. CoRR (2023)
Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard
ΣIGMA: Scale-Invariant Global Sparse Shape Matching. ICCV (2023)
Yining Ma, Qadeer Khan, Daniel Cremers
Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller. ITSC (2023)
Qadeer Khan, Idil Sülö, Melis Öcal, Daniel Cremers
Learning vision based autonomous lateral vehicle control without supervision. Appl. Intell. 53 (16) (2023)
Thomas Wimmer, Vladimir Golkov, Hoai Nam Dang, Moritz Zaiss, Andreas Maier, Daniel Cremers
Scale-Equivariant Deep Learning for 3D Data. CoRR (2023)
Dekai Zhu, Qadeer Khan, Daniel Cremers
Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information. CoRR (2023)
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors. CVPR (2023)
Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers
Beyond In-Domain Scenarios: Robust Density-Aware Calibration. ICML (2023)
Patrick Wenzel, Nan Yang, Rui Wang, Niclas Zeller, Daniel Cremers
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions. CoRR (2023)
Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers
Behind the Scenes: Density Fields for Single View Reconstruction. CVPR (2023)
Viktoria Ehm, Daniel Cremers, Florian Bernard
Non-Separable Multi-Dimensional Network Flows for Visual Computing. Eurographics (Posters) (2023)
Mreenav Shyam Deka, Lu Sang, Daniel Cremers
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis. CoRR (2023)
Jiaxin Pan, Changyao Zhou, Mariia Gladkova, Qadeer Khan, Daniel Cremers
Robust Autonomous Vehicle Pursuit without Expert Steering Labels. CoRR (2023)
Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. ICCV (2023)
Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard
SIGMA: Scale-Invariant Global Sparse Shape Matching. CoRR (2023)
Dávid Komorowicz, Lu Sang, Ferdinand Maiwald, Daniel Cremers
Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography. CoRR (2023)
Christian Tomani, Futa Waseda, Yuesong Shen, Daniel Cremers
Beyond In-Domain Scenarios: Robust Density-Aware Calibration. CoRR (2023)
Simon Weber, Nikolaus Demmel, Tin Chon Chan, Daniel Cremers
Power Bundle Adjustment for Large-Scale 3D Reconstruction. CVPR (2023)
George Eskandar, Youssef Farag, Tarun Yenamandra, Daniel Cremers, Karim Guirguis, Bin Yang
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes. IV (2023)
Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. CoRR (2023)
Adrian Hayler, Felix Wimbauer, Dominik Muhle, Christian Rupprecht, Daniel Cremers
S4C: Self-Supervised Semantic Scene Completion with Neural Fields. CoRR (2023)
Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F. Henriques, Daniel Cremers
CASSPR: Cross Attention Single Scan Place Recognition. ICCV (2023)
Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Daniel Cremers
ResolvNet: A Graph Convolutional Network with multi-scale Consistency. CoRR (2023)
George Eskandar, Youssef Farag, Tarun Yenamandra, Daniel Cremers, Karim Guirguis, Bin Yang
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes. CoRR (2023)
Yining Ma, Qadeer Khan, Daniel Cremers
Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller. CoRR (2023)
Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp
Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. CoRR (2023)
Zhenzhang Ye, Bjoern Haefner, Yvain Quéau, Thomas Möllenhoff, Daniel Cremers
A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces. Int. J. Comput. Vis. 131 (1) (2023)
Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. WACV (2023)
Viktoria Ehm, Paul Roetzer, Marvin Eisenberger, Maolin Gao, Florian Bernard, Daniel Cremers
Geometrically Consistent Partial Shape Matching. CoRR (2023)
Jeremias Gerner, Dominik Rößle, Daniel Cremers, Klaus Bogenberger, Torsten Schön, Stefanie Schmidtner
Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation. ITSC (2023)
Qing Cheng, Niclas Zeller, Daniel Cremers
Vision-Based Large-scale 3D Semantic Mapping for Autonomous Driving Applications. ICRA (2022)
Florian Müller, Qadeer Khan, Daniel Cremers
Lateral Ego-Vehicle Control Without Supervision Using Point Clouds. ICPRAI (1) (2022)
Michael Schleiss, Fahmi Rouatbi, Daniel Cremers
VPAIR - Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments. CoRR (2022)
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers
A Unified Framework for Implicit Sinkhorn Differentiation. CVPR (2022)
Tarun Yenamandra, Ayush Tewari, Nan Yang, Florian Bernard, Christian Theobalt, Daniel Cremers
HDSDF: Hybrid Directional and Signed Distance Functions for Fast Inverse Rendering. CoRR (2022)
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
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CoRR (2022)
Abhishek Saroha, Marvin Eisenberger, Tarun Yenamandra, Daniel Cremers
Implicit Shape Completion via Adversarial Shape Priors. CoRR (2022)
Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers
What Makes Graph Neural Networks Miscalibrated? NeurIPS (2022)
Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRL (2022)
Deepan Das, Qadeer Khan, Daniel Cremers
Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation. ICIP (2022)
Dominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard, Daniel Cremers
The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions. CoRR (2022)

Daniel Cremers.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Daniel Cremers