Daniel Cremers
Professor
Develops computer vision methods for 3D reconstruction, visual SLAM and image analysis using convex optimization, statistical learning and neural networks.
Daniel Cremers's lab at TUM works on 3D vision & neural rendering and learning theory & optimization. 138 papers since 2023, 75 at top venues, mostly CVPR and ECCV. 35 PhD students. 45 alumni, most often to Apple and Meta.
At a glance
- papers, 2023–2026
- 36/ year
- at T1 venues
- 54%
- PhD students
- 35
- MS students
- 0
- alumni listed
- 45
Papers by yearfrom the lab homepage, 2023–2026
- 30 papers2026 · T1 17 · collecting
- 41 papers2025 · T1 25
- 41 papers2024 · T1 20
- 26 papers2023 · T1 13
T1 venuesOtherVenues: CVPR, ECCV, ICCV, WACV, 3DV
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering27 papers
- Learning theory & optimization14 papers
- visual slam1 paper
- vision methods0 papers
- convex optimization0 papers
Paper list
From the lab homepage.
202630 papers
- NeurIPS (T1)BA-T: An Iterative Transformer for Two-View Bundle Adjustment
- 3DVC3po: Canonicalization of 3d pose from partial views with generalizable correspondence features
- IJCV (T1)Combining Projected Uncertainty for Self-Supervised Visual Odometry: From Two-Frame to Multi-Frame
- ICML (T1)DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds
- ECCV (T1)EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion
- ECCV (T1)Flow4R: Unifying 4D Reconstruction and Tracking with Scene Flow
- ICML (T1)Functional Attention: From Pairwise Affinities to Functional Correspondences
- Workshop on Foundation Models for V2X-based Cooperative Autonomous Driving at the IEEE/CVF Conference on Computer Vision and Pattern RecognitionGaussianDet3D: Bridging Gaussian Splatting and Sparse LiDAR Detection for Multi-View 3D Object Detection
- WACVGlobal Focal and Radial Distortion Averaging from Radial Fundamental Matrices for Robust Self-Calibration
- WACVGrounDiff: Diffusion-Based Ground Surface Generation from Digital Surface Models
- WACVIDEAL-M3D: Instance Diversity-Enriched Active Learning for Monocular 3D Detection
- CVPR (T1)INSID3: Training-Free In-Context Segmentation with DINOv3
202541 papers
- CVPR (T1)4Deform: Neural Surface Deformation for Robust Shape Interpolation
- CVPR (T1)AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos
- ICCV (T1)Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
- CGFBeyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Matching Algorithms
- GCPRCoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry
- IEEE Intelligent Vehicles SymposiumDecentralized Reinforcement Learning for Multi-Agent Navigation in Unconstrained Environments
- ICCV (T1)Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images
- CVPR (T1)EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection
- ICCV (T1)Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
- CVPR (T1)Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
- NeurIPS (T1)FlowFeat: Pixel-Dense Embedding of Motion Profiles
- ICCV (T1)GECO: Geometrically Consistent Embedding with Lightspeed Inference
202441 papers
- CVPRWA Perspective on Deep Vision Performance with Standard Image and Video Codecs
- ICLR (T1)An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
- NeurIPS (T1)An Image is Worth 32 Tokens for Reconstruction and Generation
- CVPR (T1)Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
- CVPR (T1)Cache Me if You Can: Accelerating Diffusion Models through Block Caching
- GCPRCARLA Drone: Monocular 3D Object Detection from a Different Perspective
- GCPRColoring the Past: Neural Historical Buildings Reconstruction from Archival Photography
- 3DVDeep event visual odometry
- CVPRWDeep Video Codec Control
- ECCV (T1)DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting
- AISTATS (T1)Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization
- IEEE Winter Conference on Applications of Computer Vision (WACVEnhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining
202326 papers
- International 3D GeoInfo ConferenceArtificial Intelligence for the Automated Creation of Multi-scale Digital Twins of the Built World—AI4TWINNING
- CVPR (T1)Behind the Scenes: Density Fields for Single View Reconstruction
- ICML (T1)Beyond In-Domain Scenarios: Robust Density-Aware Calibration
- ICCV (T1)CASSPR: Cross Attention Single Scan Place Recognition
- ICCV (T1)DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates
- RA-LE-nerf: Neural radiance fields from a moving event camera
- CVPR (T1)G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors
- European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual MeetingGPT4MR: Exploring GPT-4 as an MR Sequence and Reconstruction Programming Assistant
- WACVHigh-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF
- CVPR (T1)Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
- ICML (T1)Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
- Applied IntelligenceLearning vision based autonomous lateral vehicle control without supervision
Where alumni went45 listed, 67% to industry
Industry 16Academia 8
Most often to
- Apple
- Meta
Also to
- University of Oxford
- ETH Zurich
- KAIST
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Computer Science Doctorate (CIT)
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- Opens
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- GRE
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- English
- Very good written and spoken English; no minimum test score
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Confirmed on the program page.
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