Andreas Geiger
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Computer Science
Andreas Geiger's Degrees
- PhD Computer Science Karlsruhe Institute of Technology
- Masters Computer Science Karlsruhe Institute of Technology
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(Suggest an Edit or Addition)Andreas Geiger's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Are we ready for autonomous driving? The KITTI vision benchmark suite (2012) (9124)
- Vision meets robotics: The KITTI dataset (2013) (5805)
- Object scene flow for autonomous vehicles (2015) (1589)
- Occupancy Networks: Learning 3D Reconstruction in Function Space (2018) (1561)
- OctNet: Learning Deep 3D Representations at High Resolutions (2016) (1174)
- Which Training Methods for GANs do actually Converge? (2018) (1096)
- StereoScan: Dense 3d reconstruction in real-time (2011) (1076)
- Efficient Large-Scale Stereo Matching (2010) (823)
- Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision (2019) (564)
- Sparsity Invariant CNNs (2017) (557)
- A new performance measure and evaluation benchmark for road detection algorithms (2013) (549)
- Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art (2017) (484)
- Convolutional Occupancy Networks (2020) (474)
- Automatic camera and range sensor calibration using a single shot (2012) (465)
- GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields (2020) (459)
- Visual odometry based on stereo image sequences with RANSAC-based outlier rejection scheme (2010) (450)
- Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks (2017) (447)
- GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis (2020) (447)
- A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos (2017) (433)
- 3D Traffic Scene Understanding From Movable Platforms (2014) (398)
- The Numerics of GANs (2017) (390)
- MOTS: Multi-Object Tracking and Segmentation (2019) (389)
- Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes (2017) (298)
- KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs (2021) (292)
- UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction (2021) (270)
- HOTA: A Higher Order Metric for Evaluating Multi-object Tracking (2020) (248)
- Joint 3d Estimation of Vehicles and Scene Flow (2015) (244)
- SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images (2018) (228)
- Displets: Resolving stereo ambiguities using object knowledge (2015) (223)
- Semantic Visual Localization (2017) (215)
- TensoRF: Tensorial Radiance Fields (2022) (195)
- Texture Fields: Learning Texture Representations in Function Space (2019) (194)
- Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics (2019) (192)
- OctNetFusion: Learning Depth Fusion from Data (2017) (177)
- Deep Marching Cubes: Learning Explicit Surface Representations (2018) (174)
- Multi-Modal Fusion Transformer for End-to-End Autonomous Driving (2021) (174)
- Learning 3D Shape Completion from Laser Scan Data with Weak Supervision (2018) (169)
- Team AnnieWAY's Entry to the 2011 Grand Cooperative Driving Challenge (2012) (166)
- Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization (2013) (165)
- Unsupervised Learning of Multi-Frame Optical Flow with Occlusions (2018) (154)
- Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer (2015) (150)
- Sparse scene flow segmentation for moving object detection in urban environments (2011) (149)
- On the Integration of Optical Flow and Action Recognition (2017) (143)
- Visual SLAM for autonomous ground vehicles (2011) (143)
- Topologically-constrained latent variable models (2008) (143)
- Conditional Affordance Learning for Driving in Urban Environments (2018) (138)
- Video-based raindrop detection for improved image registration (2009) (135)
- KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D (2021) (123)
- StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets (2022) (123)
- RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs (2021) (121)
- Discrete Optimization for Optical Flow (2015) (120)
- Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids (2019) (119)
- Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? (2017) (118)
- Joint 3D Estimation of Objects and Scene Layout (2011) (113)
- Map-Based Probabilistic Visual Self-Localization (2016) (103)
- FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation (2014) (102)
- Understanding High-Level Semantics by Modeling Traffic Patterns (2013) (96)
- SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes (2021) (94)
- Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis (2019) (93)
- Robust Dense Mapping for Large-Scale Dynamic Environments (2018) (91)
- Learning 3D Shape Completion Under Weak Supervision (2018) (81)
- PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds (2018) (79)
- A generative model for 3D urban scene understanding from movable platforms (2011) (79)
- Projected GANs Converge Faster (2021) (76)
- Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System (2018) (74)
- Deep Discrete Flow (2016) (72)
- Attacking Optical Flow (2019) (71)
- Omnidirectional 3D reconstruction in augmented Manhattan worlds (2014) (71)
- Simultaneous underwater visibility assessment, enhancement and improved stereo (2014) (70)
- Shape As Points: A Differentiable Poisson Solver (2021) (69)
- Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art (2020) (69)
- Category Level Object Pose Estimation via Neural Analysis-by-Synthesis (2020) (67)
- Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data (2017) (66)
- Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image (2020) (65)
- RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials (2018) (65)
- Counterfactual Generative Networks (2021) (62)
- MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction (2022) (58)
- NEAT: Neural Attention Fields for End-to-End Autonomous Driving (2021) (56)
- Towards Probabilistic Volumetric Reconstruction Using Ray Potentials (2015) (56)
- Joint 3D Object and Layout Inference from a Single RGB-D Image (2015) (53)
- Realistic Modeling of Water Droplets for Monocular Adherent Raindrop Recognition Using Bézier Curves (2010) (53)
- Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks (2021) (53)
- MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images (2021) (52)
- CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields (2021) (50)
- D Traffic Scene Understanding from Movable Platforms (2013) (50)
- Rank priors for continuous non-linear dimensionality reduction (2009) (44)
- Learning Situational Driving (2020) (41)
- VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids (2022) (41)
- Learning Priors for Semantic 3D Reconstruction (2018) (37)
- Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving (2020) (37)
- An all-in-one solution to geometric and photometric calibration (2006) (37)
- Direct visual odometry for a fisheye-stereo camera (2016) (36)
- Towards Robust Visual Odometry with a Multi-Camera System (2018) (36)
- Geometric Image Synthesis (2018) (35)
- Taking a Deeper Look at the Inverse Compositional Algorithm (2018) (35)
- Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels (2017) (33)
- ATISS: Autoregressive Transformers for Indoor Scene Synthesis (2021) (33)
- STEP: Segmenting and Tracking Every Pixel (2021) (33)
- ARAH: Animatable Volume Rendering of Articulated Human SDFs (2022) (33)
- Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation (2022) (32)
- SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation (2021) (31)
- Toroidal Constraints for Two-Point Localization Under High Outlier Ratios (2017) (31)
- Calibrating and centering quasi-central catadioptric cameras (2014) (31)
- Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration (2021) (30)
- Learning Implicit Surface Light Fields (2020) (28)
- Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction (2016) (26)
- SMD-Nets: Stereo Mixture Density Networks (2021) (26)
- gDNA: Towards Generative Detailed Neural Avatars (2022) (25)
- Learning Non-Volumetric Depth Fusion Using Successive Reprojections (2019) (25)
- Real-Time Dense Mapping for Self-Driving Vehicles using Fisheye Cameras (2018) (25)
- Augmented Reality meets Deep Learning (2017) (25)
- Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms (2013) (24)
- On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner (2020) (24)
- Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences (2020) (22)
- Monocular road mosaicing for urban environments (2009) (22)
- Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes (2018) (21)
- Self-Supervised Linear Motion Deblurring (2020) (21)
- Connecting the Dots: Learning Representations for Active Monocular Depth Estimation (2019) (21)
- TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving (2022) (21)
- On the Frequency Bias of Generative Models (2021) (20)
- PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence (2022) (19)
- StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis (2023) (18)
- Label Efficient Visual Abstractions for Autonomous Driving (2020) (18)
- Object flow: A descriptor for classifying traffic motion (2010) (18)
- NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields (2022) (16)
- Motion-without-structure: Real-time multipose optimization for accurate visual odometry (2012) (16)
- Exploiting Object Similarity in 3D Reconstruction (2015) (15)
- Learning Steering Kernels for Guided Depth Completion (2021) (15)
- Supplementary Material for A MultiView Stereo Benchmark with High-Resolution Images and Multi-Camera Videos (2017) (14)
- Supplementary Material for OctNet : Learning Deep 3 D Representations at High Resolutions (2017) (12)
- PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds (2018) (12)
- Benchmarking Unsupervised Object Representations for Video Sequences (2020) (12)
- NoVA: Learning to See in Novel Viewpoints and Domains (2019) (9)
- Computer Vision and Pattern Recognition 2020 (2021) (8)
- KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients (2022) (8)
- NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM (2023) (7)
- Adversarial Variational Bayes (2017) (6)
- MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes (2023) (6)
- Learning Transformation Invariant Representations with Weak Supervision (2018) (5)
- Learning 3D Shape Completion Under Weak Supervision (2018) (5)
- Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition (2020) (4)
- Fast-SNARF: A Fast Deformer for Articulated Neural Fields (2022) (4)
- Team AnnieWAY ’ s entry to GCDC 2011 (2011) (4)
- Factor Fields: A Unified Framework for Neural Fields and Beyond (2023) (3)
- Unifying Flow, Stereo and Depth Estimation (2022) (3)
- Learning Neural Light Transport (2020) (3)
- PlanT: Explainable Planning Transformers via Object-Level Representations (2022) (3)
- GOOD: Exploring Geometric Cues for Detecting Objects in an Open World (2022) (2)
- Fundamentals of machine vision (2015) (2)
- Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition (2020) (2)
- Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation (2021) (1)
- Hybrid Models for Vision-Based Intersection Understanding (2010) (1)
- Supplementary Material for Occupancy Networks : Learning 3 D Reconstruction in Function Space (2019) (1)
- Probabilistic Map Localization through Visual Odometry (2013) (1)
- Supplementary Material : Discrete Optimization for Optical Flow (2015) (0)
- Probabilistic and Deep Models for 3D Reconstruction (2017) (0)
- Supplementary Material for Learning Priors for Semantic 3 D Reconstruction (2018) (0)
- Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring (2016) (0)
- Supplementary Material for ATISS: Autoregressive Transformers for Indoor Scene Synthesis (2021) (0)
- How Pedestrians Perceive Autonomous Buses: Evaluating Visual Signals (2021) (0)
- Supplementary Material for Sparsity Invariant CNNs (2017) (0)
- Supplementary Document for Patches , Planes and Probabilities : A Non-local Prior for Volumetric 3 D Reconstruction (2016) (0)
- Supplementary Material for Exploiting Object Similarity in 3 D Reconstruction (2015) (0)
- Monocular Features Stereo Features ( Bird ' s eye view ) Inference Result (2013) (0)
- Material for Semantic Visual Localization (2018) (0)
- Supplementary Material for Convolutional Occupancy Networks (2020) (0)
- Supplementary Material for MOTS : Multi-Object Tracking and Segmentation (2019) (0)
- AG3D: Learning to Generate 3D Avatars from 2D Image Collections (2023) (0)
- Supplementary for gDNA: Towards Generative Detailed Neural Avatars (2022) (0)
- Supplementary Material for Shape As Points: A Differentiable Poisson Solver (2021) (0)
- Supplementary Material : Attacking Optical Flow (2019) (0)
- Supplementary Material for SMD-Nets: Stereo Mixture Density Networks (2021) (0)
- Neural Implicit Representations for 3D Vision and Beyond (2022) (0)
- Supplementary Material : Deep Discrete Flow (2016) (0)
- Supplementary Material for Superquadrics Revisited : Learning 3 D Shape Parsing beyond Cuboids (2019) (0)
- Supplementary Material for Learning Situational Driving (2020) (0)
- Supplementary Material for Projected GANs Converge Faster (2021) (0)
- Supplementary Material for Adversarial Variational Bayes : Unifying Variational Autoencoders and Generative Adversarial Networks (2017) (0)
- Supplementary Material for Learning Implicit Surface Light Fields (2020) (0)
- Supplementary Document for Towards Probabilistic Volumetric Reconstruction using Ray Potentials (2015) (0)
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