Andreas Geiger

Orcid: 0000-0002-8151-3726

Affiliations:
  • Max Planck Institute for Intelligent Systems, Tübingen, Germany
  • University of Tübingen, Department of Computer Science, Germany
  • Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany (PhD 2013)


According to our database1, Andreas Geiger authored at least 173 papers between 2006 and 2024.

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Bibliography

2024
SLEDGE: Synthesizing Simulation Environments for Driving Agents with Generative Models.
CoRR, 2024

2D Gaussian Splatting for Geometrically Accurate Radiance Fields.
CoRR, 2024

MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images.
CoRR, 2024

HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting.
CoRR, 2024

Generalized Predictive Model for Autonomous Driving.
CoRR, 2024

Renovating Names in Open-Vocabulary Segmentation Benchmarks.
CoRR, 2024

LISO: Lidar-only Self-Supervised 3D Object Detection.
CoRR, 2024

Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis.
CoRR, 2024

2023
Towards Scalable Multi-View Reconstruction of Geometry and Materials.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Unifying Flow, Stereo and Depth Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Fast-SNARF: A Fast Deformer for Articulated Neural Fields.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes.
ACM Trans. Graph., August, 2023

Dictionary Fields: Learning a Neural Basis Decomposition.
ACM Trans. Graph., August, 2023

KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields.
IEEE Trans. Vis. Comput. Graph., 2023

DriveLM: Driving with Graph Visual Question Answering.
CoRR, 2023

NeLF-Pro: Neural Light Field Probes.
CoRR, 2023

3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting.
CoRR, 2023

An Invitation to Deep Reinforcement Learning.
CoRR, 2023

IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing.
CoRR, 2023

MuRF: Multi-Baseline Radiance Fields.
CoRR, 2023

GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs.
CoRR, 2023

Mip-Splatting: Alias-free 3D Gaussian Splatting.
CoRR, 2023

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space.
CoRR, 2023

GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers.
CoRR, 2023

PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes.
CoRR, 2023

End-to-end Autonomous Driving: Challenges and Frontiers.
CoRR, 2023

Towards Scalable Multi-View Reconstruction of Geometry and Materials.
CoRR, 2023

NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM.
CoRR, 2023

Factor Fields: A Unified Framework for Neural Fields and Beyond.
CoRR, 2023

Self-Supervised Occupancy Grid Map Completion for Automated Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis.
Proceedings of the International Conference on Machine Learning, 2023

GOOD: Exploring geometric cues for detecting objects in an open world.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

On Offline Evaluation of 3D Object Detection for Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hidden Biases of End-to-End Driving Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AG3D: Learning to Generate 3D Avatars from 2D Image Collections.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Parting with Misconceptions about Learning-based Vehicle Motion Planning.
Proceedings of the Conference on Robot Learning, 2023

2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Implicit Representations for 3D Vision and Beyond.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

ARAH: Animatable Volume Rendering of Articulated Human SDFs.
Proceedings of the Computer Vision - ECCV 2022, 2022

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients.
Proceedings of the Computer Vision - ECCV 2022, 2022

TensoRF: Tensorial Radiance Fields.
Proceedings of the Computer Vision - ECCV 2022, 2022

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

gDNA: Towards Generative Detailed Neural Avatars.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

PlanT: Explainable Planning Transformers via Object-Level Representations.
Proceedings of the Conference on Robot Learning, 2022

Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation.
Proceedings of the International Conference on 3D Vision, 2022

2021
Learning Steering Kernels for Guided Depth Completion.
IEEE Trans. Image Process., 2021

Benchmarking Unsupervised Object Representations for Video Sequences.
J. Mach. Learn. Res., 2021

HOTA: A Higher Order Metric for Evaluating Multi-object Tracking.
Int. J. Comput. Vis., 2021

Computer Vision and Pattern Recognition 2020.
Int. J. Comput. Vis., 2021

STEP: Segmenting and Tracking Every Pixel.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Frequency Bias of Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Projected GANs Converge Faster.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Shape As Points: A Differentiable Poisson Solver.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ATISS: Autoregressive Transformers for Indoor Scene Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Counterfactual Generative Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NEAT: Neural Attention Fields for End-to-End Autonomous Driving.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SMD-Nets: Stereo Mixture Density Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields.
Proceedings of the International Conference on 3D Vision, 2021

2020
Self-Supervised Linear Motion Deblurring.
IEEE Robotics Autom. Lett., 2020

Learning 3D Shape Completion Under Weak Supervision.
Int. J. Comput. Vis., 2020

Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art.
Found. Trends Comput. Graph. Vis., 2020

Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition.
CoRR, 2020

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences.
CoRR, 2020

Learning Neural Light Transport.
CoRR, 2020

Learning Implicit Surface Light Fields.
CoRR, 2020

GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Label Efficient Visual Abstractions for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Convolutional Occupancy Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Category Level Object Pose Estimation via Neural Analysis-by-Synthesis.
Proceedings of the Computer Vision - ECCV 2020, 2020

On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Situational Driving.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Implicit Surface Light Fields.
Proceedings of the 8th International Conference on 3D Vision, 2020

Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System.
Proceedings of the International Conference on Robotics and Automation, 2019

Real-Time Dense Mapping for Self-Driving Vehicles using Fisheye Cameras.
Proceedings of the International Conference on Robotics and Automation, 2019

Attacking Optical Flow.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Texture Fields: Learning Texture Representations in Function Space.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

MOTS: Multi-Object Tracking and Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Connecting the Dots: Learning Representations for Active Monocular Depth Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Occupancy Networks: Learning 3D Reconstruction in Function Space.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Taking a Deeper Look at the Inverse Compositional Algorithm.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Non-Volumetric Depth Fusion Using Successive Reprojections.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

NoVA: Learning to See in Novel Viewpoints and Domains.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes.
Int. J. Comput. Vis., 2018

PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds.
CoRR, 2018

Learning Transformation Invariant Representations with Weak Supervision.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Towards Robust Visual Odometry with a Multi-Camera System.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Robust Dense Mapping for Large-Scale Dynamic Environments.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Which Training Methods for GANs do actually Converge?
Proceedings of the 35th International Conference on Machine Learning, 2018

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions.
Proceedings of the Computer Vision - ECCV 2018, 2018

SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Priors for Semantic 3D Reconstruction.
Proceedings of the Computer Vision - ECCV 2018, 2018

On the Integration of Optical Flow and Action Recognition.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

Learning 3D Shape Completion From Laser Scan Data With Weak Supervision.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Semantic Visual Localization.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Marching Cubes: Learning Explicit Surface Representations.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Conditional Affordance Learning for Driving in Urban Environments.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Geometric Image Synthesis.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
The Numerics of GANs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Direct visual odometry for a fisheye-stereo camera.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?
Proceedings of the IEEE International Conference on Computer Vision, 2017

Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

OctNet: Learning Deep 3D Representations at High Resolutions.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Toroidal Constraints for Two-Point Localization Under High Outlier Ratios.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Probabilistic and Deep Models for 3D Reconstruction.
Proceedings of the British Machine Vision Conference 2017, 2017

Augmented Reality meets Deep Learning.
Proceedings of the British Machine Vision Conference 2017, 2017

Sparsity Invariant CNNs.
Proceedings of the 2017 International Conference on 3D Vision, 2017

OctNetFusion: Learning Depth Fusion from Data.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Map-Based Probabilistic Visual Self-Localization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring.
CoRR, 2016

Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Discrete Flow.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Exploiting Object Similarity in 3D Reconstruction.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Discrete Optimization for Optical Flow.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

Joint 3D Object and Layout Inference from a Single RGB-D Image.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

Object scene flow for autonomous vehicles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Displets: Resolving stereo ambiguities using object knowledge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Towards Probabilistic Volumetric Reconstruction Using Ray Potentials.
Proceedings of the 2015 International Conference on 3D Vision, 2015

Maschinelles Sehen.
Proceedings of the Handbuch Fahrerassistenzsysteme, 2015

2014
3D Traffic Scene Understanding From Movable Platforms.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Omnidirectional 3D reconstruction in augmented Manhattan worlds.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Calibrating and centering quasi-central catadioptric cameras.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Simultaneous underwater visibility assessment, enhancement and improved stereo.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms.
PhD thesis, 2013

Vision meets robotics: The KITTI dataset.
Int. J. Robotics Res., 2013

A new performance measure and evaluation benchmark for road detection algorithms.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Understanding High-Level Semantics by Modeling Traffic Patterns.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Team AnnieWAY's Entry to the 2011 Grand Cooperative Driving Challenge.
IEEE Trans. Intell. Transp. Syst., 2012

Motion-without-structure: Real-time multipose optimization for accurate visual odometry.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Automatic camera and range sensor calibration using a single shot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Are we ready for autonomous driving? The KITTI vision benchmark suite.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Joint 3D Estimation of Objects and Scene Layout.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Sparse scene flow segmentation for moving object detection in urban environments.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

StereoScan: Dense 3d reconstruction in real-time.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

Visual SLAM for autonomous ground vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

A generative model for 3D urban scene understanding from movable platforms.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Visual odometry based on stereo image sequences with RANSAC-based outlier rejection scheme.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Object flow: A descriptor for classifying traffic motion.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Realistic Modeling of Water Droplets for Monocular Adherent Raindrop Recognition Using Bézier Curves.
Proceedings of the Computer Vision - ACCV 2010 Workshops, 2010

Efficient Large-Scale Stereo Matching.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Video-based raindrop detection for improved image registration.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Rank priors for continuous non-linear dimensionality reduction.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Topologically-constrained latent variable models.
Proceedings of the Machine Learning, 2008

2006
An all-in-one solution to geometric and photometric calibration.
Proceedings of the Fifth IEEE/ACM International Symposium on Mixed and Augmented Reality, 2006


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