Daniel Cremers
146 papers · 2013–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Conference Polyglot (14)
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Hot Topic Early Bird
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Keyword Trendsetter Combo
(4)
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Conference Loyalist
(59)
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Grand Slam
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Deep Specialist
(56)
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Keyword Champion
(3)
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Dynamic Duo
(17)
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Keyword Collector
(543)
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Century Club
(145)
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Conference Pioneer
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Prolific Year
(6)
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Unstoppable
(14)
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The Questioner
(2)
Conferences
CVPR (59)
ICCV (29)
ECCV (13)
WACV (13)
AISTATS (6)
NIPS (6)
CORL (5)
ICML (5)
ICLR (4)
AAAI (2)
ACL (1)
EMNLP (1)
RSS (1)
UAI (1)
Top co-authors
Keywords
3d reconstruction
(20)
depth estimation
(12)
semantic segmentation
(8)
shape correspondence
(8)
self-supervised learning
(7)
convex relaxation
(7)
3d vision
(7)
bundle adjustment
(7)
shape matching
(7)
diffusion model
(6)
visual odometry
(6)
image segmentation
(5)
photometric stereo
(5)
point cloud
(5)
graph neural network
(5)
uncertainty quantification
(5)
variational method
(5)
uncertainty estimation
(5)
unsupervised learning
(5)
autonomous driving
(4)
Papers
Global Focal and Radial Distortion Averaging from Radial Fundamental Matrices for Robust Self-Calibration
WACV 2026
HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction (Abstract Reprint)
AAAI 2026
ControlEvents: Controllable Synthesis of Event Camera Data with Foundational Prior from Image Diffusion Models
WACV 2026
IDEAL-M3D: Instance Diversity-Enriched Active Learning for Monocular 3D Detection
WACV 2026
GrounDiff: Diffusion-Based Ground Surface Generation from Digital Surface Models
WACV 2026
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching
CVPR 2025
EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection
CVPR 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
CVPR 2025
PRaDA: Projective Radial Distortion Averaging
CVPR 2025
AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos
CVPR 2025
Localizing Events in Videos with Multimodal Queries
CVPR 2025
It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data
CVPR 2025
SparseAlign: a Fully Sparse Framework for Cooperative Object Detection
CVPR 2025
4Deform: Neural Surface Deformation for Robust Shape Interpolation
CVPR 2025
Scene-Centric Unsupervised Panoptic Segmentation
CVPR 2025
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction
CVPR 2025
Implicit Neural Surface Deformation with Explicit Velocity Fields
ICLR 2025
On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches
WACV 2025
TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route
EMNLP 2025
OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion
CORL 2025
GECO: Geometrically Consistent Embedding with Lightspeed Inference
ICCV 2025
Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images
ICCV 2025
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
ICCV 2025
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
ICCV 2025
TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes
ICCV 2025
ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset
WACV 2025
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation
CVPR 2025
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
CVPR 2024
An Image is Worth 32 Tokens for Reconstruction and Generation
NIPS 2024
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering
WACV 2024
FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions
WACV 2024
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model
ACL 2024
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
WACV 2024
Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining
WACV 2024
Variational Learning is Effective for Large Deep Networks
ICML 2024
HoloNets: Spectral Convolutions do extend to Directed Graphs
ICLR 2024
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization
AISTATS 2024
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
ICLR 2024
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting
ECCV 2024
GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation
ECCV 2024
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation
ECCV 2024
MeshFeat: Multi-Resolution Features for Neural Fields on Meshes
ECCV 2024
Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment
ECCV 2024
Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation
CVPR 2024
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation
CVPR 2024
Partial-to-Partial Shape Matching with Geometric Consistency
CVPR 2024
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
CVPR 2024
Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
CVPR 2024
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
CVPR 2024
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincare Ball
CVPR 2024
Text2Loc: 3D Point Cloud Localization from Natural Language
CVPR 2024
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
ICML 2023
Power Bundle Adjustment for Large-Scale 3D Reconstruction
CVPR 2023
Behind the Scenes: Density Fields for Single View Reconstruction
CVPR 2023
G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors
CVPR 2023
Semidefinite Relaxations for Robust Multiview Triangulation
CVPR 2023
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
CVPR 2023
DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates
ICCV 2023
SIGMA: Scale-Invariant Global Sparse Shape Matching
ICCV 2023
CASSPR: Cross Attention Single Scan Place Recognition
ICCV 2023
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
ICCV 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
ICML 2023
Neural Implicit Representations for Physical Parameter Inference From a Single Video
WACV 2023
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF
WACV 2023
Deep Combinatorial Aggregation
NIPS 2022
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
CVPR 2022
A Unified Framework for Implicit Sinkhorn Differentiation
CVPR 2022
The Probabilistic Normal Epipolar Constraint for Frame-to-Frame Rotation Optimization Under Uncertain Feature Positions
CVPR 2022
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching
CVPR 2022
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction
CVPR 2022
PRISM: Probabilistic Real-Time Inference in Spatial World Models
CORL 2022
Intrinsic Neural Fields: Learning Functions on Manifolds
ECCV 2022
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
ECCV 2022
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
AAAI 2022
What Makes Graph Neural Networks Miscalibrated?
NIPS 2022
Isometric Multi-Shape Matching
CVPR 2021
Variational Data Assimilation with a Learned Inverse Observation Operator
ICML 2021
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
CVPR 2021
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry
AISTATS 2021
Square Root Marginalization for Sliding-Window Bundle Adjustment
ICCV 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
CVPR 2021
Square Root Bundle Adjustment for Large-Scale Reconstruction
CVPR 2021
SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition
CVPR 2021
Post-Hoc Uncertainty Calibration for Domain Drift Scenarios
CVPR 2021
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera
CVPR 2021
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
NIPS 2021
Explicit pairwise factorized graph neural network for semi-supervised node classification
UAI 2021
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
CORL 2021
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
NIPS 2020
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
AISTATS 2020
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach
WACV 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
CVPR 2020
Smooth Shells: Multi-Scale Shape Registration With Functional Maps
CVPR 2020
Efficient Derivative Computation for Cumulative B-Splines on Lie Groups
CVPR 2020
Hamiltonian Dynamics for Real-World Shape Interpolation
ECCV 2020
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
ECCV 2020
Correspondence-Free Material Reconstruction using Sparse Surface Constraints
CVPR 2020
Flat Metric Minimization with Applications in Generative Modeling
ICML 2019
Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus
CVPR 2019
Controlling Neural Networks via Energy Dissipation
ICCV 2019
Variational Uncalibrated Photometric Stereo Under General Lighting
ICCV 2019
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light
CORL 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems
AISTATS 2019
Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading
CVPR 2018
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs
CORL 2018
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
ECCV 2018
Direct Sparse Odometry With Rolling Shutter
ECCV 2018
Combinatorial Preconditioners for Proximal Algorithms on Graphs
AISTATS 2018
A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization
AISTATS 2018
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs
CVPR 2018
Proximal Backpropagation
ICLR 2018
MRF Optimization with Separable Convex Prior on Partially Ordered Labels
ECCV 2018
DeepWrinkles: Accurate and Realistic Clothing Modeling
ECCV 2018
Stereo DSO: Large-Scale Direct Sparse Visual Odometry With Stereo Cameras
ICCV 2017
Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems
ICCV 2017
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
ICCV 2017
Associative Domain Adaptation
ICCV 2017
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization With Spatially-Varying Lighting
ICCV 2017
Image-Based Localization Using LSTMs for Structured Feature Correlation
ICCV 2017
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space
CVPR 2017
An Efficient Background Term for 3D Reconstruction and Tracking With Smooth Surface Models
CVPR 2017
Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks
CVPR 2017
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting
CVPR 2017
One-Shot Video Object Segmentation
CVPR 2017
A Combinatorial Solution to Non-Rigid 3D Shape-To-Image Matching
CVPR 2017
KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences
CVPR 2017
Sublabel-Accurate Relaxation of Nonconvex Energies
CVPR 2016
Efficient Globally Optimal 2D-To-3D Deformable Shape Matching
CVPR 2016
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
NIPS 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
CVPR 2016
FlowNet: Learning Optical Flow With Convolutional Networks
ICCV 2015
Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction
CVPR 2015
Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations
ICCV 2015
Learning Nonlinear Spectral Filters for Color Image Reconstruction
ICCV 2015
Entropy Minimization for Convex Relaxation Approaches
ICCV 2015
Dense Continuous-Time Tracking and Mapping With Rolling Shutter RGB-D Cameras
ICCV 2015
Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation
CVPR 2014
Dense Non-Rigid Shape Correspondence using Random Forests
CVPR 2014
Elastic Net Constraints for Shape Matching
ICCV 2013
Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions
RSS 2013
Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs
ICCV 2013
Total Variation Regularization for Functions with Values in a Manifold
ICCV 2013
Relative Volume Constraints for Single View 3D Reconstruction
CVPR 2013
Proportion Priors for Image Sequence Segmentation
ICCV 2013
Semi-dense Visual Odometry for a Monocular Camera
ICCV 2013
Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences
ICCV 2013