An all-in-one solution to geometric and photometric calibration. - Julien Pilet; Andreas Geiger 001; Pascal Lagger; Vincent Lepetit; Pascal Fua (ISMAR, 2006)

Topologically-constrained latent variable models. - Raquel Urtasun; David J. Fleet; Andreas Geiger 001; Jovan Popovic; Trevor Darrell; Neil D. Lawrence (ICML, 2008)

Rank priors for continuous non-linear dimensionality reduction. - Andreas Geiger 001; Raquel Urtasun; Trevor Darrell (CVPR, 2009)

Video-based raindrop detection for improved image registration. - Martin Roser; Andreas Geiger 001 (ICCV Workshops, 2009)

Efficient Large-Scale Stereo Matching. - Andreas Geiger 001; Martin Roser; Raquel Urtasun (ACCV (1), 2010)

Realistic Modeling of Water Droplets for Monocular Adherent Raindrop Recognition Using Bézier Curves. - Martin Roser; Julian Kurz; Andreas Geiger 001 (ACCV Workshops (2), 2010)

Object flow: A descriptor for classifying traffic motion. - Andreas Geiger 001; Bernd Kitt (Intelligent Vehicles Symposium, 2010)

Visual odometry based on stereo image sequences with RANSAC-based outlier rejection scheme. - Bernd Kitt; Andreas Geiger 001; Henning Lategahn (Intelligent Vehicles Symposium, 2010)

A generative model for 3D urban scene understanding from movable platforms. - Andreas Geiger 001; Martin Lauer; Raquel Urtasun (CVPR, 2011)

Visual SLAM for autonomous ground vehicles. - Henning Lategahn; Andreas Geiger 001; Bernd Kitt (ICRA, 2011)

StereoScan: Dense 3d reconstruction in real-time. - Andreas Geiger 001; Julius Ziegler; Christoph Stiller (Intelligent Vehicles Symposium, 2011)

Sparse scene flow segmentation for moving object detection in urban environments. - Philip Lenz; Julius Ziegler; Andreas Geiger 001; Martin Roser (Intelligent Vehicles Symposium, 2011)

Joint 3D Estimation of Objects and Scene Layout. - Andreas Geiger 001; Christian Wojek; Raquel Urtasun (NIPS, 2011)

Are we ready for autonomous driving? The KITTI vision benchmark suite. - Andreas Geiger 001; Philip Lenz; Raquel Urtasun (CVPR, 2012)

Automatic camera and range sensor calibration using a single shot. - Andreas Geiger 001; Frank Moosmann; Omer Car; Bernhard Schuster (ICRA, 2012)

Motion-without-structure: Real-time multipose optimization for accurate visual odometry. - Henning Lategahn; Andreas Geiger 001; Bernd Kitt; Christoph Stiller (Intelligent Vehicles Symposium, 2012)

Team AnnieWAY's Entry to the 2011 Grand Cooperative Driving Challenge. - Andreas Geiger 001; Martin Lauer; Frank Moosmann; Benjamin Ranft; Holger H. Rapp; Christoph Stiller; Julius Ziegler (IEEE Trans. Intell. Transp. Syst., 2012)

Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization. - Marcus A. Brubaker; Andreas Geiger 001; Raquel Urtasun (CVPR, 2013)

Understanding High-Level Semantics by Modeling Traffic Patterns. - Hongyi Zhang; Andreas Geiger 001; Raquel Urtasun (ICCV, 2013)

A new performance measure and evaluation benchmark for road detection algorithms. - Jannik Fritsch; Tobias Kühnl; Andreas Geiger 001 (ITSC, 2013)

Vision meets robotics: The KITTI dataset. - Andreas Geiger 001; Philip Lenz; Christoph Stiller; Raquel Urtasun (Int. J. Robotics Res., 2013)

Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms. - Andreas Geiger 001 (KIT Scientific Publishing, 2013)

Simultaneous underwater visibility assessment, enhancement and improved stereo. - Martin Roser; Matthew Dunbabin; Andreas Geiger 001 (ICRA, 2014)

Calibrating and centering quasi-central catadioptric cameras. - Miriam Schönbein; Tobias Straus; Andreas Geiger 001 (ICRA, 2014)

Omnidirectional 3D reconstruction in augmented Manhattan worlds. - Miriam Schönbein; Andreas Geiger 001 (IROS, 2014)

3D Traffic Scene Understanding From Movable Platforms. - Andreas Geiger 001; Martin Lauer; Christian Wojek; Christoph Stiller; Raquel Urtasun (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Maschinelles Sehen. - Christoph Stiller; Alexander Bachmann 001; Andreas Geiger 001 (Handbuch Fahrerassistenzsysteme, 2015)

Towards Probabilistic Volumetric Reconstruction Using Ray Potentials. - Ali Osman Ulusoy; Andreas Geiger 001; Michael J. Black (3DV, 2015)

Displets: Resolving stereo ambiguities using object knowledge. - Fatma Güney; Andreas Geiger 001 (CVPR, 2015)

Object scene flow for autonomous vehicles. - Moritz Menze; Andreas Geiger 001 (CVPR, 2015)

Joint 3D Object and Layout Inference from a Single RGB-D Image. - Andreas Geiger 001; Chaohui Wang (GCPR, 2015)

Discrete Optimization for Optical Flow. - Moritz Menze; Christian Heipke; Andreas Geiger 001 (GCPR, 2015)

FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. - Philip Lenz; Andreas Geiger 001; Raquel Urtasun (ICCV, 2015)

Exploiting Object Similarity in 3D Reconstruction. - Chen Zhou; Fatma Güney; Yizhou Wang 001; Andreas Geiger 001 (ICCV, 2015)

Deep Discrete Flow. - Fatma Güney; Andreas Geiger 001 (ACCV (4), 2016)

Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction. - Ali Osman Ulusoy; Michael J. Black; Andreas Geiger 001 (CVPR, 2016)

Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer. - Jun Xie; Martin Kiefel; Ming-Ting Sun; Andreas Geiger 001 (CVPR, 2016)

Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring. - Lars M. Mescheder; Sebastian Nowozin; Andreas Geiger 001 (CoRR, 2016)

Map-Based Probabilistic Visual Self-Localization. - Marcus A. Brubaker; Andreas Geiger 001; Raquel Urtasun (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

OctNetFusion: Learning Depth Fusion from Data. - Gernot Riegler; Ali Osman Ulusoy; Horst Bischof; Andreas Geiger 001 (3DV, 2017)

Sparsity Invariant CNNs. - Jonas Uhrig; Nick Schneider; Lukas Schneider; Uwe Franke; Thomas Brox; Andreas Geiger 001 (3DV, 2017)

Augmented Reality meets Deep Learning. - Hassan Abu Alhaija; Siva Karthik Mustikovela; Lars M. Mescheder; Andreas Geiger 001; Carsten Rother (BMVC, 2017)

Probabilistic and Deep Models for 3D Reconstruction. - Andreas Geiger 001 (BMVC, 2017)

Toroidal Constraints for Two-Point Localization Under High Outlier Ratios. - Federico Camposeco; Torsten Sattler; Andrea Cohen; Andreas Geiger 001; Marc Pollefeys (CVPR, 2017)

Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. - Joel Janai; Fatma Güney; Jonas Wulff; Michael J. Black; Andreas Geiger 001 (CVPR, 2017)

OctNet: Learning Deep 3D Representations at High Resolutions. - Gernot Riegler; Ali Osman Ulusoy; Andreas Geiger 001 (CVPR, 2017)

A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos. - Thomas Schöps; Johannes L. Schönberger; Silvano Galliani; Torsten Sattler; Konrad Schindler; Marc Pollefeys; Andreas Geiger 001 (CVPR, 2017)

Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels. - Ali Osman Ulusoy; Michael J. Black; Andreas Geiger 001 (CVPR, 2017)

Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? - Aseem Behl; Omid Hosseini Jafari; Siva Karthik Mustikovela; Hassan Abu Alhaija; Carsten Rother; Andreas Geiger 001 (ICCV, 2017)

Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. - Lars M. Mescheder; Sebastian Nowozin; Andreas Geiger 001 (ICML, 2017)

Direct visual odometry for a fisheye-stereo camera. - Peidong Liu 001; Lionel Heng; Torsten Sattler; Andreas Geiger 001; Marc Pollefeys (IROS, 2017)

The Numerics of GANs. - Lars M. Mescheder; Sebastian Nowozin; Andreas Geiger 001 (NIPS, 2017)

Geometric Image Synthesis. - Hassan Abu Alhaija; Siva Karthik Mustikovela; Andreas Geiger 001; Carsten Rother (ACCV (6), 2018)

Conditional Affordance Learning for Driving in Urban Environments. - Axel Sauer; Nikolay Savinov; Andreas Geiger 001 (CoRL, 2018)

Deep Marching Cubes: Learning Explicit Surface Representations. - Yiyi Liao; Simon Donné; Andreas Geiger 001 (CVPR, 2018)

RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials. - Despoina Paschalidou; Ali Osman Ulusoy; Carolin Schmitt; Luc Van Gool; Andreas Geiger 001 (CVPR, 2018)

Semantic Visual Localization. - Johannes L. Schönberger; Marc Pollefeys; Andreas Geiger 001; Torsten Sattler (CVPR, 2018)

Learning 3D Shape Completion From Laser Scan Data With Weak Supervision. - David Stutz; Andreas Geiger 001 (CVPR, 2018)

On the Integration of Optical Flow and Action Recognition. - Laura Sevilla-Lara; Yiyi Liao; Fatma Güney; Varun Jampani; Andreas Geiger 001; Michael J. Black (GCPR, 2018)

Learning Priors for Semantic 3D Reconstruction. - Ian Cherabier; Johannes L. Schönberger; Martin R. Oswald; Marc Pollefeys; Andreas Geiger 001 (ECCV (12), 2018)

SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images. - Benjamin Coors; Alexandru Paul Condurache; Andreas Geiger 001 (ECCV (9), 2018)

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions. - Joel Janai; Fatma Güney; Anurag Ranjan; Michael J. Black; Andreas Geiger 001 (ECCV (16), 2018)

Which Training Methods for GANs do actually Converge? - Lars M. Mescheder; Andreas Geiger 001; Sebastian Nowozin (ICML, 2018)

Robust Dense Mapping for Large-Scale Dynamic Environments. - Ioan Andrei Barsan; Peidong Liu 001; Marc Pollefeys; Andreas Geiger 001 (ICRA, 2018)

Towards Robust Visual Odometry with a Multi-Camera System. - Peidong Liu 001; Marcel Geppert; Lionel Heng; Torsten Sattler; Andreas Geiger 001; Marc Pollefeys (IROS, 2018)

Learning Transformation Invariant Representations with Weak Supervision. - Benjamin Coors; Alexandru Condurache; Alfred Mertins; Andreas Geiger 001 (VISIGRAPP (5: VISAPP), 2018)

PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds. - Aseem Behl; Despoina Paschalidou; Simon Donné; Andreas Geiger 001 (CoRR, 2018)

Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes. - Hassan Abu Alhaija; Siva Karthik Mustikovela; Lars M. Mescheder; Andreas Geiger 001; Carsten Rother (Int. J. Comput. Vis., 2018)

NoVA: Learning to See in Novel Viewpoints and Domains. - Benjamin Coors; Alexandru Paul Condurache; Andreas Geiger 001 (3DV, 2019)

PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds. - Aseem Behl; Despoina Paschalidou; Simon Donné; Andreas Geiger 001 (CVPR, 2019)

Learning Non-Volumetric Depth Fusion Using Successive Reprojections. - Simon Donné; Andreas Geiger 001 (CVPR, 2019)

Taking a Deeper Look at the Inverse Compositional Algorithm. - Zhaoyang Lv; Frank Dellaert; James M. Rehg; Andreas Geiger 001 (CVPR, 2019)

Occupancy Networks: Learning 3D Reconstruction in Function Space. - Lars M. Mescheder; Michael Oechsle; Michael Niemeyer; Sebastian Nowozin; Andreas Geiger 001 (CVPR, 2019)

Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids. - Despoina Paschalidou; Ali Osman Ulusoy; Andreas Geiger 001 (CVPR, 2019)

Connecting the Dots: Learning Representations for Active Monocular Depth Estimation. - Gernot Riegler; Yiyi Liao; Simon Donné; Vladlen Koltun; Andreas Geiger 001 (CVPR, 2019)

MOTS: Multi-Object Tracking and Segmentation. - Paul Voigtlaender; Michael Krause 002; Aljosa Osep; Jonathon Luiten; Berin Balachandar Gnana Sekar; Andreas Geiger 001; Bastian Leibe (CVPR, 2019)

Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics. - Michael Niemeyer; Lars M. Mescheder; Michael Oechsle; Andreas Geiger 001 (ICCV, 2019)

Texture Fields: Learning Texture Representations in Function Space. - Michael Oechsle; Lars M. Mescheder; Michael Niemeyer; Thilo Strauss; Andreas Geiger 001 (ICCV, 2019)

Attacking Optical Flow. - Anurag Ranjan; Joel Janai; Andreas Geiger 001; Michael J. Black (ICCV, 2019)

Real-Time Dense Mapping for Self-Driving Vehicles using Fisheye Cameras. - Zhaopeng Cui; Lionel Heng; Ye Chuan Yeo; Andreas Geiger 001; Marc Pollefeys; Torsten Sattler (ICRA, 2019)

Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System. - Lionel Heng; Benjamin Choi; Zhaopeng Cui; Marcel Geppert; Sixing Hu; Benson Kuan; Peidong Liu 001; Rang M. H. Nguyen; Ye Chuan Yeo; Andreas Geiger 001; Gim Hee Lee; Marc Pollefeys; et al. (ICRA, 2019)

Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition. - Hassan Abu Alhaija; Siva Karthik Mustikovela; Justus Thies; Varun Jampani; Matthias Nießner; Andreas Geiger 001; Carsten Rother (3DV, 2020)

Learning Implicit Surface Light Fields. - Michael Oechsle; Michael Niemeyer; Christian Reiser; Lars M. Mescheder; Thilo Strauss; Andreas Geiger 001 (3DV, 2020)

Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. - Yiyi Liao; Katja Schwarz; Lars M. Mescheder; Andreas Geiger 001 (CVPR, 2020)

Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision. - Michael Niemeyer; Lars M. Mescheder; Michael Oechsle; Andreas Geiger 001 (CVPR, 2020)

Learning Situational Driving. - Eshed Ohn-Bar; Aditya Prakash 001; Aseem Behl; Kashyap Chitta; Andreas Geiger 001 (CVPR, 2020)

Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image. - Despoina Paschalidou; Luc Van Gool; Andreas Geiger 001 (CVPR, 2020)

Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving. - Aditya Prakash 001; Aseem Behl; Eshed Ohn-Bar; Kashyap Chitta; Andreas Geiger 001 (CVPR, 2020)

On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner. - Carolin Schmitt; Simon Donné; Gernot Riegler; Vladlen Koltun; Andreas Geiger 001 (CVPR, 2020)

Category Level Object Pose Estimation via Neural Analysis-by-Synthesis. - Xu Chen 025; Zijian Dong; Jie Song 006; Andreas Geiger 001; Otmar Hilliges (ECCV (26), 2020)

Convolutional Occupancy Networks. - Songyou Peng; Michael Niemeyer; Lars M. Mescheder; Marc Pollefeys; Andreas Geiger 001 (ECCV (3), 2020)

Label Efficient Visual Abstractions for Autonomous Driving. - Aseem Behl; Kashyap Chitta; Aditya Prakash 001; Eshed Ohn-Bar; Andreas Geiger 001 (IROS, 2020)

GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. - Katja Schwarz; Yiyi Liao; Michael Niemeyer; Andreas Geiger 001 (NeurIPS, 2020)

Learning Implicit Surface Light Fields. - Michael Oechsle; Michael Niemeyer; Lars M. Mescheder; Thilo Strauss; Andreas Geiger 001 (CoRR, 2020)

Learning Neural Light Transport. - Paul Sanzenbacher; Lars M. Mescheder; Andreas Geiger 001 (CoRR, 2020)

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. - Marissa A. Weis; Kashyap Chitta; Yash Sharma 001; Wieland Brendel; Matthias Bethge; Andreas Geiger 001; Alexander S. Ecker (CoRR, 2020)

Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition. - Hassan Abu Alhaija; Siva Karthik Mustikovela; Justus Thies; Matthias Nießner; Andreas Geiger 001; Carsten Rother (CoRR, 2020)

Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art. - Joel Janai; Fatma Güney; Aseem Behl; Andreas Geiger 001 (Found. Trends Comput. Graph. Vis., 2020)

Learning 3D Shape Completion Under Weak Supervision. - David Stutz; Andreas Geiger 001 (Int. J. Comput. Vis., 2020)

Self-Supervised Linear Motion Deblurring. - Peidong Liu 001; Joel Janai; Marc Pollefeys; Torsten Sattler; Andreas Geiger 001 (IEEE Robotics Autom. Lett., 2020)

CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields. - Michael Niemeyer; Andreas Geiger 001 (3DV, 2021)

GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields. - Michael Niemeyer; Andreas Geiger 001 (CVPR, 2021)

Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks. - Despoina Paschalidou; Angelos Katharopoulos; Andreas Geiger 001; Sanja Fidler (CVPR, 2021)

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. - Aditya Prakash 001; Kashyap Chitta; Andreas Geiger 001 (CVPR, 2021)

SMD-Nets: Stereo Mixture Density Networks. - Fabio Tosi; Yiyi Liao; Carolin Schmitt; Andreas Geiger 001 (CVPR, 2021)

Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration. - Shaofei Wang 001; Andreas Geiger 001; Siyu Tang 001 (CVPR, 2021)

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation. - Stefan Andreas Baur; David Josef Emmerichs; Frank Moosmann; Peter Pinggera; Björn Ommer; Andreas Geiger 001 (ICCV, 2021)

SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes. - Xu Chen 025; Yufeng Zheng; Michael J. Black; Otmar Hilliges; Andreas Geiger 001 (ICCV, 2021)

NEAT: Neural Attention Fields for End-to-End Autonomous Driving. - Kashyap Chitta; Aditya Prakash 001; Andreas Geiger 001 (ICCV, 2021)

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction. - Michael Oechsle; Songyou Peng; Andreas Geiger 001 (ICCV, 2021)

KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. - Christian Reiser; Songyou Peng; Yiyi Liao; Andreas Geiger 001 (ICCV, 2021)

Counterfactual Generative Networks. - Axel Sauer; Andreas Geiger 001 (ICLR, 2021)

Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation. - Niklas Hanselmann; Nick Schneider; Benedikt Ortelt; Andreas Geiger 001 (IV, 2021)

ATISS: Autoregressive Transformers for Indoor Scene Synthesis. - Despoina Paschalidou; Amlan Kar; Maria Shugrina; Karsten Kreis; Andreas Geiger 001; Sanja Fidler (NeurIPS, 2021)

Shape As Points: A Differentiable Poisson Solver. - Songyou Peng; Chiyu Jiang 001; Yiyi Liao; Michael Niemeyer; Marc Pollefeys; Andreas Geiger 001 (NeurIPS, 2021)

Projected GANs Converge Faster. - Axel Sauer; Kashyap Chitta; Jens Müller; Andreas Geiger 001 (NeurIPS, 2021)

On the Frequency Bias of Generative Models. - Katja Schwarz; Yiyi Liao; Andreas Geiger 001 (NeurIPS, 2021)

MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images. - Shaofei Wang 001; Marko Mihajlovic; Qianli Ma 007; Andreas Geiger 001; Siyu Tang 001 (NeurIPS, 2021)

STEP: Segmenting and Tracking Every Pixel. - Mark Weber; Jun Xie; Maxwell D. Collins; Yukun Zhu; Paul Voigtlaender; Hartwig Adam; Bradley Green; Andreas Geiger 001; Bastian Leibe; Daniel Cremers; Aljosa Osep; Laura Leal-Taixé; et al. (NeurIPS Datasets and Benchmarks, 2021)

Computer Vision and Pattern Recognition 2020. - Zeynep Akata; Andreas Geiger 001; Torsten Sattler (Int. J. Comput. Vis., 2021)

HOTA: A Higher Order Metric for Evaluating Multi-object Tracking. - Jonathon Luiten; Aljosa Osep; Patrick Dendorfer; Philip H. S. Torr; Andreas Geiger 001; Laura Leal-Taixé; Bastian Leibe (Int. J. Comput. Vis., 2021)

Benchmarking Unsupervised Object Representations for Video Sequences. - Marissa A. Weis; Kashyap Chitta; Yash Sharma 001; Wieland Brendel; Matthias Bethge; Andreas Geiger 001; Alexander S. Ecker (J. Mach. Learn. Res., 2021)

Learning Steering Kernels for Guided Depth Completion. - Lina Liu 010; Yiyi Liao; Yue Wang 020; Andreas Geiger 001; Yong Liu 007 (IEEE Trans. Image Process., 2021)

Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation. - Xiao Fu; Shangzhan Zhang; Tianrun Chen; Yichong Lu; Lanyun Zhu; Xiaowei Zhou 001; Andreas Geiger 001; Yiyi Liao (3DV, 2022)

PlanT: Explainable Planning Transformers via Object-Level Representations. - Katrin Renz; Kashyap Chitta; Otniel-Bogdan Mercea; A. Sophia Koepke; Zeynep Akata; Andreas Geiger 001 (CoRL, 2022)

gDNA: Towards Generative Detailed Neural Avatars. - Xu Chen 025; Tianjian Jiang; Jie Song 006; Jinlong Yang; Michael J. Black; Andreas Geiger 001; Otmar Hilliges (CVPR, 2022)

PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence. - Zijian Dong; Chen Guo; Jie Song 006; Xu Chen 025; Andreas Geiger 001; Otmar Hilliges (CVPR, 2022)

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. - Michael Niemeyer; Jonathan T. Barron; Ben Mildenhall; Mehdi S. M. Sajjadi; Andreas Geiger 001; Noha Radwan (CVPR, 2022)

TensoRF: Tensorial Radiance Fields. - Anpei Chen; Zexiang Xu; Andreas Geiger 001; Jingyi Yu; Hao Su 001 (ECCV (32), 2022)

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. - Niklas Hanselmann; Katrin Renz; Kashyap Chitta; Apratim Bhattacharyya; Andreas Geiger 001 (ECCV (38), 2022)

ARAH: Animatable Volume Rendering of Articulated Human SDFs. - Shaofei Wang 001; Katja Schwarz; Andreas Geiger 001; Siyu Tang 001 (ECCV (32), 2022)

Neural Implicit Representations for 3D Vision and Beyond. - Andreas Geiger 001 (VISIGRAPP, 2022)

VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids. - Katja Schwarz; Axel Sauer; Michael Niemeyer; Yiyi Liao; Andreas Geiger 001 (NeurIPS, 2022)

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction. - Zehao Yu 002; Songyou Peng; Michael Niemeyer; Torsten Sattler; Andreas Geiger 001 (NeurIPS, 2022)

StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets. - Axel Sauer; Katja Schwarz; Andreas Geiger 001 (SIGGRAPH (Conference Paper Track), 2022)

Parting with Misconceptions about Learning-based Vehicle Motion Planning. - Daniel Dauner; Marcel Hallgarten; Andreas Geiger 001; Kashyap Chitta (CoRL, 2023)

AG3D: Learning to Generate 3D Avatars from 2D Image Collections. - Zijian Dong; Xu Chen 025; Jinlong Yang; Michael J. Black; Otmar Hilliges; Andreas Geiger 001 (ICCV, 2023)

Hidden Biases of End-to-End Driving Models. - Bernhard Jaeger; Kashyap Chitta; Andreas Geiger 001 (ICCV, 2023)

On Offline Evaluation of 3D Object Detection for Autonomous Driving. - Tim Schreier; Katrin Renz; Andreas Geiger 001; Kashyap Chitta (ICCV (Workshops), 2023)

GOOD: Exploring geometric cues for detecting objects in an open world. - Haiwen Huang; Andreas Geiger 001; Dan Zhang (ICLR, 2023)

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. - Axel Sauer; Tero Karras; Samuli Laine; Andreas Geiger 001; Timo Aila (ICML, 2023)

Self-Supervised Occupancy Grid Map Completion for Automated Driving. - Jugoslav Stojcheski; Thomas Nürnberg; Michael Ulrich; Thomas Michalke; Claudius Gläser; Andreas Geiger 001 (IV, 2023)

Factor Fields: A Unified Framework for Neural Fields and Beyond. - Anpei Chen; Zexiang Xu; Xinyue Wei; Siyu Tang 001; Hao Su 001; Andreas Geiger 001 (CoRR, 2023)

PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes. - Xiao Fu; Shangzhan Zhang; Tianrun Chen; Yichong Lu; Xiaowei Zhou 001; Andreas Geiger 001; Yiyi Liao (CoRR, 2023)

NeLF-Pro: Neural Light Field Probes. - Zinuo You; Andreas Geiger 001; Anpei Chen (CoRR, 2023)

DriveLM: Driving with Graph Visual Question Answering. - Chonghao Sima; Katrin Renz; Kashyap Chitta; Li Chen 008; Hanxue Zhang; Chengen Xie; Ping Luo 002; Andreas Geiger 001; Hongyang Li 001 (CoRR, 2023)

NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields. - Liangchen Song; Anpei Chen; Zhong Li; Zhang Chen; Lele Chen; Junsong Yuan 001; Yi Xu 002; Andreas Geiger 001 (IEEE Trans. Vis. Comput. Graph., 2023)

KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D. - Yiyi Liao; Jun Xie; Andreas Geiger 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Dictionary Fields: Learning a Neural Basis Decomposition. - Anpei Chen; Zexiang Xu; Xinyue Wei; Siyu Tang 001; Hao Su 001; Andreas Geiger 001 (ACM Trans. Graph., 2023)

MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes. - Christian Reiser; Richard Szeliski; Dor Verbin; Pratul P. Srinivasan; Ben Mildenhall; Andreas Geiger 001; Jonathan T. Barron; Peter Hedman (ACM Trans. Graph., 2023)

Fast-SNARF: A Fast Deformer for Articulated Neural Fields. - Xu Chen 025; Tianjian Jiang; Jie Song 006; Max Rietmann; Andreas Geiger 001; Michael J. Black; Otmar Hilliges (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving. - Kashyap Chitta; Aditya Prakash 001; Bernhard Jaeger; Zehao Yu 002; Katrin Renz; Andreas Geiger 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Unifying Flow, Stereo and Depth Estimation. - Haofei Xu; Jing Zhang 037; Jianfei Cai 001; Hamid Rezatofighi; Fisher Yu 001; Dacheng Tao; Andreas Geiger 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Towards Scalable Multi-View Reconstruction of Geometry and Materials. - Carolin Schmitt; Bozidar Antic; Neculai Andrei; Joo Ho Lee 003; Andreas Geiger 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM. - Zihan Zhu; Songyou Peng; Viktor Larsson; Zhaopeng Cui; Martin R. Oswald; Andreas Geiger 001; Marc Pollefeys (3DV, 2024)

GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. - Gege Gao; Weiyang Liu; Anpei Chen; Andreas Geiger 001; Bernhard Schölkopf (CVPR, 2024)

3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting. - Zhiyin Qian; Shaofei Wang 001; Marko Mihajlovic; Andreas Geiger 001; Siyu Tang 001 (CVPR, 2024)

IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing. - Shaofei Wang 001; Bozidar Antic; Andreas Geiger 001; Siyu Tang 001 (CVPR, 2024)

MuRF: Multi-Baseline Radiance Fields. - Haofei Xu; Anpei Chen; Yuedong Chen; Christos Sakaridis; Yulun Zhang 001; Marc Pollefeys; Andreas Geiger 001; Fisher Yu 001 (CVPR, 2024)

Generalized Predictive Model for Autonomous Driving. - Jiazhi Yang; Shenyuan Gao; Yihang Qiu; Li Chen 008; Tianyu Li; Bo Dai 002; Kashyap Chitta; Penghao Wu; Jia Zeng; Ping Luo 002; Jun Zhang; Andreas Geiger 001; et al. (CVPR, 2024)

NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis. - Zinuo You; Andreas Geiger 001; Anpei Chen (CVPR, 2024)

Mip-Splatting: Alias-Free 3D Gaussian Splatting. - Zehao Yu 002; Anpei Chen; Binbin Huang; Torsten Sattler; Andreas Geiger 001 (CVPR, 2024)

HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting. - Hongyu Zhou; Jiahao Shao; Lu Xu; Dongfeng Bai; Weichao Qiu; Bingbing Liu; Yue Wang 020; Andreas Geiger 001; Yiyi Liao (CVPR, 2024)

LISO: Lidar-Only Self-supervised 3D Object Detection. - Stefan Andreas Baur; Frank Moosmann; Andreas Geiger 001 (ECCV (86), 2024)

LaRa: Efficient Large-Baseline Radiance Fields. - Anpei Chen; Haofei Xu; Stefano Esposito; Siyu Tang 001; Andreas Geiger 001 (ECCV (11), 2024)

MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-view Images. - Yuedong Chen; Haofei Xu; Chuanxia Zheng; Bohan Zhuang; Marc Pollefeys; Andreas Geiger 001; Tat-Jen Cham; Jianfei Cai 001 (ECCV (21), 2024)

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic. - Kashyap Chitta; Daniel Dauner; Andreas Geiger 001 (ECCV (4), 2024)

Efficient Depth-Guided Urban View Synthesis. - Sheng Miao; Jiaxin Huang 012; Dongfeng Bai; Weichao Qiu; Bingbing Liu; Andreas Geiger 001; Yiyi Liao (ECCV (30), 2024)

DriveLM: Driving with Graph Visual Question Answering. - Chonghao Sima; Katrin Renz; Kashyap Chitta; Li Chen 008; Hanxue Zhang; Chengen Xie; Jens Beißwenger; Ping Luo 002; Andreas Geiger 001; Hongyang Li 001 (ECCV (52), 2024)

GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers. - Takeru Miyato; Bernhard Jaeger; Max Welling; Andreas Geiger 001 (ICLR, 2024)

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space. - Katja Schwarz; Seung Wook Kim 001; Jun Gao 004; Sanja Fidler; Andreas Geiger 001; Karsten Kreis (ICLR, 2024)

Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking. - Yushi Liu; Alexander Qualmann; Zehao Yu 002; Miroslav Gabriel; Philipp Schillinger; Markus Spies; Ngo Anh Vien; Andreas Geiger 001 (ICRA, 2024)

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. - Daniel Dauner; Marcel Hallgarten; Tianyu Li; Xinshuo Weng; Zhiyu Huang; Zetong Yang; Hongyang Li 001; Igor Gilitschenski; Boris Ivanovic; Marco Pavone 001; Andreas Geiger 001; Kashyap Chitta (NeurIPS, 2024)

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability. - Shenyuan Gao; Jiazhi Yang; Li Chen 008; Kashyap Chitta; Yihang Qiu; Andreas Geiger 001; Jun Zhang; Hongyang Li 001 (NeurIPS, 2024)

Renovating Names in Open-Vocabulary Segmentation Benchmarks. - Haiwen Huang; Songyou Peng; Dan Zhang; Andreas Geiger 001 (NeurIPS, 2024)

2D Gaussian Splatting for Geometrically Accurate Radiance Fields. - Binbin Huang; Zehao Yu 002; Anpei Chen; Andreas Geiger 001; Shenghua Gao (SIGGRAPH (Conference Paper Track), 2024)

SLEDGE: Synthesizing Simulation Environments for Driving Agents with Generative Models. - Kashyap Chitta; Daniel Dauner; Andreas Geiger 001 (CoRR, 2024)

Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes. - Zehao Yu 002; Torsten Sattler; Andreas Geiger 001 (CoRR, 2024)

HDT: Hierarchical Document Transformer. - Haoyu He; Markus Flicke; Jan Buchmann; Iryna Gurevych; Andreas Geiger 001 (CoRR, 2024)

Volumetric Surfaces: Representing Fuzzy Geometries with Multiple Meshes. - Stefano Esposito; Anpei Chen; Christian Reiser; Samuel Rota Bulò; Lorenzo Porzi; Katja Schwarz; Christian Richardt; Michael Zollhöfer; Peter Kontschieder; Andreas Geiger 001 (CoRR, 2024)

HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving. - Hongyu Zhou; Longzhong Lin; Jiabao Wang; Yichong Lu; Dongfeng Bai; Bingbing Liu; Yue Wang 020; Andreas Geiger 001; Yiyi Liao (CoRR, 2024)

Hidden Biases of End-to-End Driving Datasets. - Julian Zimmerlin; Jens Beißwenger; Bernhard Jaeger; Andreas Geiger 001; Kashyap Chitta (CoRR, 2024)

Level-Set Parameters: Novel Representation for 3D Shape Analysis. - Huan Lei; Hongdong Li; Andreas Geiger 001; Anthony Dick (CoRR, 2024)

An Invitation to Deep Reinforcement Learning. - Bernhard Jaeger; Andreas Geiger 001 (Found. Trends Optim., 2024)

Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis. - Christian Reiser; Stephan J. Garbin; Pratul P. Srinivasan; Dor Verbin; Richard Szeliski; Ben Mildenhall; Jonathan T. Barron; Peter Hedman; Andreas Geiger 001 (ACM Trans. Graph., 2024)

End-to-End Autonomous Driving: Challenges and Frontiers. - Li Chen 008; Penghao Wu; Kashyap Chitta; Bernhard Jaeger; Andreas Geiger 001; Hongyang Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes. - Zehao Yu 002; Torsten Sattler; Andreas Geiger 001 (ACM Trans. Graph., 2024)

Unimotion: Unifying 3D Human Motion Synthesis and Understanding. - Chuqiao Li; Julian Chibane; Yannan He; Naama Pearl; Andreas Geiger 001; Gerard Pons-Moll (3DV, 2025)

Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes. - Stefano Esposito; Anpei Chen; Christian Reiser; Samuel Rota Bulò; Lorenzo Porzi; Katja Schwarz; Christian Richardt; Michael Zollhöfer; Peter Kontschieder; Andreas Geiger 001 (CVPR, 2025)

UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation. - Yichong Lu; Yichi Cai; Shangzhan Zhang; Hongyu Zhou; Haoji Hu; Huimin Yu; Andreas Geiger 001; Yiyi Liao (CVPR, 2025)

EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis. - Sheng Miao; Jiaxin Huang 012; Dongfeng Bai; Xu Yan; Hongyu Zhou; Yue Wang 020; Bingbing Liu; Andreas Geiger 001; Yiyi Liao (CVPR, 2025)

GenFusion: Closing the Loop between Reconstruction and Generation via Videos. - Sibo Wu; Congrong Xu; Binbin Huang; Andreas Geiger 001; Anpei Chen (CVPR, 2025)

DepthSplat: Connecting Gaussian Splatting and Depth. - Haofei Xu; Songyou Peng; Fangjinhua Wang; Hermann Blum; Daniel Barath; Andreas Geiger 001; Marc Pollefeys (CVPR, 2025)

Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation. - Yuanbo Yang; Jiahao Shao; Xinyang Li; Yujun Shen; Andreas Geiger 001; Yiyi Liao (CVPR, 2025)

Artificial Kuramoto Oscillatory Neurons. - Takeru Miyato; Sindy Löwe; Andreas Geiger 001; Max Welling (ICLR, 2025)

Relightable Full-Body Gaussian Codec Avatars. - Shaofei Wang 001; Tomas Simon; Igor Santesteban; Timur M. Bagautdinov; Junxuan Li; Vasu Agrawal; Fabian Prada; Shoou-I Yu; Pace Nalbone; Matt Gramlich; Roman Lubachersky; Chenglei Wu; et al. (CoRR, 2025)

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views. - Eyvaz Najafli; Marius Kästingschäfer; Sebastian Bernhard; Thomas Brox; Andreas Geiger 001 (CoRR, 2025)

Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation. - Steffen Eger; Yong Cao 001; Jennifer D'Souza 001; Andreas Geiger 001; Christian Greisinger; Stephanie Gross; Yufang Hou 001; Brigitte Krenn; Anne Lauscher; Yizhi Li; Chenghua Lin; Nafise Sadat Moosavi; et al. (CoRR, 2025)

Centaur: Robust End-to-End Autonomous Driving with Test-Time Training. - Chonghao Sima; Kashyap Chitta; Zhiding Yu; Shiyi Lan; Ping Luo 002; Andreas Geiger 001; Hongyang Li 001; José M. Álvarez 004 (CoRR, 2025)

Easi3R: Estimating Disentangled Motion from DUSt3R Without Training. - Xingyu Chen; Yue Chen; Yuliang Xiu; Andreas Geiger 001; Anpei Chen (CoRR, 2025)

Scholar Inbox: Personalized Paper Recommendations for Scientists. - Markus Flicke; Glenn Angrabeit; Madhav Iyengar; Vitalii Protsenko; Illia Shakun; Jovan Cicvaric; Bora Kargi; Haoyu He; Lukas Schuler; Lewin Scholz; Kavyanjali Agnihotri; Yong Cao 001; et al. (CoRR, 2025)

LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models. - Haiwen Huang; Anpei Chen; Volodymyr Havrylov; Andreas Geiger 001; Dan Zhang (CoRR, 2025)

CaRL: Learning Scalable Planning Policies with Simple Rewards. - Bernhard Jaeger; Daniel Dauner; Jens Beißwenger; Simon Gerstenecker; Kashyap Chitta; Andreas Geiger 001 (CoRR, 2025)

Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation. - Volodymyr Havrylov; Haiwen Huang; Dan Zhang; Andreas Geiger 001 (CoRR, 2025)

Pseudo-Simulation for Autonomous Driving. - Wei Cao; Marcel Hallgarten; Tianyu Li; Daniel Dauner; Xunjiang Gu; Caojun Wang; Yakov Miron; Marco Aiello 001; Hongyang Li 001; Igor Gilitschenski; Boris Ivanovic; Marco Pavone 001; et al. (CoRR, 2025)

ReSim: Reliable World Simulation for Autonomous Driving. - Jiazhi Yang; Kashyap Chitta; Shenyuan Gao; Long Chen; Yuqian Shao; Xiaosong Jia; Hongyang Li 001; Andreas Geiger 001; Xiangyu Yue 001; Li Chen 008 (CoRR, 2025)

PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Scenes. - Christina Ourania Tze; Daniel Dauner; Yiyi Liao; Dzmitry Tsishkou; Andreas Geiger 001 (CoRR, 2025)

Emperror: A Flexible Generative Perception Error Model for Probing Self-Driving Planners. - Niklas Hanselmann; Simon Doll; Marius Cordts; Hendrik P. A. Lensch; Andreas Geiger 001 (IEEE Robotics Autom. Lett., 2025)

MoGA: 3D Generative Avatar Prior for Monocular Gaussian Avatar Reconstruction. - Zijian Dong; Longteng Duan; Jie Song 006; Michael J. Black; Andreas Geiger 001 (CoRR, 2025)

MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models. - Haoyu He; Katrin Renz; Yong Cao 001; Andreas Geiger 001 (CoRR, 2025)