Daniel Cremers

93

Papers

239

Total Citations

Papers (93)

MaskBit: Embedding-free Image Generation via Bit Tokens

Text2Loc: 3D Point Cloud Localization from Natural Language

Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images

Partial-to-Partial Shape Matching with Geometric Consistency

Finsler-Laplace-Beltrami Operators with Application to Shape Analysis

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball

Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment

Implicit Neural Surface Deformation with Explicit Velocity Fields

Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation

It’s a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data

4Deform: Neural Surface Deformation for Robust Shape Interpolation

Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding

Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images

Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction

Cache Me if You Can: Accelerating Diffusion Models through Block Caching

Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation

SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation

Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation

Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo

Variational Learning is Effective for Large Deep Networks

Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction

Efficient Globally Optimal 2D-To-3D Deformable Shape Matching

Sublabel-Accurate Relaxation of Nonconvex Energies

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks

A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting

One-Shot Video Object Segmentation

A Combinatorial Solution to Non-Rigid 3D Shape-To-Image Matching

KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences

Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space

An Efficient Background Term for 3D Reconstruction and Tracking With Smooth Surface Models

Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading

Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs

Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus

D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry

Correspondence-Free Material Reconstruction using Sparse Surface Constraints

Efficient Derivative Computation for Cumulative B-Splines on Lie Groups

Smooth Shells: Multi-Scale Shape Registration With Functional Maps

SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition

Square Root Bundle Adjustment for Large-Scale Reconstruction

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go

Post-Hoc Uncertainty Calibration for Domain Drift Scenarios

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

Isometric Multi-Shape Matching

MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation

A Unified Framework for Implicit Sinkhorn Differentiation

The Probabilistic Normal Epipolar Constraint for Frame-to-Frame Rotation Optimization Under Uncertain Feature Positions

A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching

Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction

Power Bundle Adjustment for Large-Scale 3D Reconstruction

Behind the Scenes: Density Fields for Single View Reconstruction

G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors

Semidefinite Relaxations for Robust Multiview Triangulation

Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares

Learning Nonlinear Spectral Filters for Color Image Reconstruction

Entropy Minimization for Convex Relaxation Approaches

Dense Continuous-Time Tracking and Mapping With Rolling Shutter RGB-D Cameras

FlowNet: Learning Optical Flow With Convolutional Networks

Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations

Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems

Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems

Associative Domain Adaptation

Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization With Spatially-Varying Lighting

Stereo DSO: Large-Scale Direct Sparse Visual Odometry With Stereo Cameras

Controlling Neural Networks via Energy Dissipation

Variational Uncalibrated Photometric Stereo Under General Lighting

Square Root Marginalization for Sliding-Window Bundle Adjustment

DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates

SIGMA: Scale-Invariant Global Sparse Shape Matching

CASSPR: Cross Attention Single Scan Place Recognition

To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation

Hamiltonian Dynamics for Real-World Shape Interpolation

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization

Intrinsic Neural Fields: Learning Functions on Manifolds

Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration

Image-Based Localization Using LSTMs for Structured Feature Correlation

Scene-Centric Unsupervised Panoptic Segmentation

EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection

Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction

Localizing Events in Videos with Multimodal Queries

SparseAlign: a Fully Sparse Framework for Cooperative Object Detection

AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos

PRaDA: Projective Radial Distortion Averaging

Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes

Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion

GECO: Geometrically Consistent Embedding with Lightspeed Inference

Deep Shells: Unsupervised Shape Correspondence with Optimal Transport

Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation

What Makes Graph Neural Networks Miscalibrated?

Deep Combinatorial Aggregation

Flat Metric Minimization with Applications in Generative Modeling