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ORCIDAndreas Geiger 0001
Person information
- affiliation: Max Planck Institute for Intelligent Systems, Tübingen, Germany
- affiliation: University of Tübingen, Department of Computer Science, Germany
- affiliation (PhD 2013): Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Other persons with the same name
- Andreas Geiger 0002 — Fraunhofer Institute for Production Systems and Design Technology (IPK), Berlin, Germany
- Andreas Geiger 0003 — Braun Technology Center, Melsungen, Germany (and 1 more)
- Andreas Geiger 0004 — University of Erlangen-Nuremberg, Nuremberg, Germany
- Andreas Geiger 0005
![[0009-0008-6573-0553]](https://dblp.org/img/orcid-mark.12x12.png "0009-0008-6573-0553")
— University of Hamburg, Institute for Operations Research, Germany
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2020 – today
- 2025
[c145]Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling:
Artificial Kuramoto Oscillatory Neurons. ICLR 2025- [i130]Shaofei Wang, Tomas Simon, Igor Santesteban, Timur M. Bagautdinov, Junxuan Li, Vasu Agrawal, Fabian Prada, Shoou-I Yu, Pace Nalbone, Matt Gramlich, Roman Lubachersky, Chenglei Wu, Javier Romero, Jason M. Saragih, Michael Zollhöfer, Andreas Geiger, Siyu Tang, Shunsuke Saito:
Relightable Full-Body Gaussian Codec Avatars. CoRR abs/2501.14726 (2025) - [i129]Eyvaz Najafli, Marius Kästingschäfer, Sebastian Bernhard, Thomas Brox, Andreas Geiger:
sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views. CoRR abs/2502.04318 (2025) - [i128]Steffen Eger, Yong Cao, Jennifer D'Souza, Andreas Geiger, Christian Greisinger, Stephanie Gross, Yufang Hou, Brigitte Krenn, Anne Lauscher, Yizhi Li, Chenghua Lin, Nafise Sadat Moosavi, Wei Zhao, Tristan Miller:
Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation. CoRR abs/2502.05151 (2025) - [i127]Chonghao Sima, Kashyap Chitta, Zhiding Yu, Shiyi Lan, Ping Luo, Andreas Geiger, Hongyang Li, José M. Álvarez:
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training. CoRR abs/2503.11650 (2025) - [i126]Sheng Miao, Jiaxin Huang, Dongfeng Bai, Xu Yan, Hongyu Zhou, Yue Wang, Bingbing Liu, Andreas Geiger, Yiyi Liao:
EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis. CoRR abs/2503.20168 (2025) - [i125]Sibo Wu, Congrong Xu, Binbin Huang, Andreas Geiger, Anpei Chen:
GenFusion: Closing the Loop between Reconstruction and Generation via Videos. CoRR abs/2503.21219 (2025) - [i124]Xingyu Chen, Yue Chen, Yuliang Xiu, Andreas Geiger, Anpei Chen:
Easi3R: Estimating Disentangled Motion from DUSt3R Without Training. CoRR abs/2503.24391 (2025) - [i123]Markus Flicke, Glenn Angrabeit, Madhav Iyengar, Vitalii Protsenko, Illia Shakun, Jovan Cicvaric, Bora Kargi, Haoyu He, Lukas Schuler, Lewin Scholz, Kavyanjali Agnihotri, Yong Cao, Andreas Geiger:
Scholar Inbox: Personalized Paper Recommendations for Scientists. CoRR abs/2504.08385 (2025) - [i122]Haiwen Huang, Anpei Chen, Volodymyr Havrylov, Andreas Geiger, Dan Zhang:
LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models. CoRR abs/2504.14032 (2025) - [i121]Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, Andreas Geiger:
CaRL: Learning Scalable Planning Policies with Simple Rewards. CoRR abs/2504.17838 (2025) - 2024
- [j24]Bernhard Jaeger, Andreas Geiger:
An Invitation to Deep Reinforcement Learning. Found. Trends Optim. 7(1): 1-80 (2024) - [j23]Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li:
End-to-End Autonomous Driving: Challenges and Frontiers. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10164-10183 (2024) - [j22]Christian Reiser, Stephan J. Garbin, Pratul P. Srinivasan, Dor Verbin, Richard Szeliski, Ben Mildenhall, Jonathan T. Barron, Peter Hedman, Andreas Geiger:
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis. ACM Trans. Graph. 43(4): 149:1-149:14 (2024) - [j21]Zehao Yu, Torsten Sattler, Andreas Geiger:
Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes. ACM Trans. Graph. 43(6): 271:1-271:13 (2024) - [c144]Zihan Zhu, Songyou Peng, Viktor Larsson, Zhaopeng Cui, Martin R. Oswald, Andreas Geiger, Marc Pollefeys:
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM. 3DV 2024: 42-52 - [c143]Shaofei Wang, Bozidar Antic, Andreas Geiger, Siyu Tang:
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing. CVPR 2024: 1877-1888 - [c142]Zhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger, Siyu Tang:
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting. CVPR 2024: 5020-5030 - [c141]Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li:
Generalized Predictive Model for Autonomous Driving. CVPR 2024: 14662-14672 - [c140]Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, Andreas Geiger:
Mip-Splatting: Alias-Free 3D Gaussian Splatting. CVPR 2024: 19447-19456 - [c139]Zinuo You, Andreas Geiger, Anpei Chen:
NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis. CVPR 2024: 19833-19843 - [c138]Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu:
MuRF: Multi-Baseline Radiance Fields. CVPR 2024: 20041-20050 - [c137]Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf:
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. CVPR 2024: 21295-21304 - [c136]Hongyu Zhou, Jiahao Shao, Lu Xu, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao:
HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting. CVPR 2024: 21336-21345 - [c135]Kashyap Chitta, Daniel Dauner, Andreas Geiger:
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic. ECCV (4) 2024: 57-74 - [c134]Sheng Miao, Jiaxin Huang, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Andreas Geiger, Yiyi Liao:
Efficient Depth-Guided Urban View Synthesis. ECCV (30) 2024: 90-107 - [c133]Stefan Andreas Baur, Frank Moosmann, Andreas Geiger:
LISO: Lidar-Only Self-supervised 3D Object Detection. ECCV (86) 2024: 253-270 - [c132]Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Jens Beißwenger, Ping Luo, Andreas Geiger, Hongyang Li:
DriveLM: Driving with Graph Visual Question Answering. ECCV (52) 2024: 256-274 - [c131]Anpei Chen, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger:
LaRa: Efficient Large-Baseline Radiance Fields. ECCV (11) 2024: 338-355 - [c130]Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai:
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-view Images. ECCV (21) 2024: 370-386 - [c129]Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger:
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers. ICLR 2024 - [c128]Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis:
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space. ICLR 2024 - [c127]Yushi Liu, Alexander Qualmann, Zehao Yu, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Ngo Anh Vien, Andreas Geiger:
Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking. ICRA 2024: 5427-5433 - [c126]Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta:
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. NeurIPS 2024 - [c125]Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li:
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability. NeurIPS 2024 - [c124]Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger:
Renovating Names in Open-Vocabulary Segmentation Benchmarks. NeurIPS 2024 - [c123]Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, Shenghua Gao:
2D Gaussian Splatting for Geometrically Accurate Radiance Fields. SIGGRAPH (Conference Paper Track) 2024: 32 - [i120]Christian Reiser, Stephan J. Garbin, Pratul P. Srinivasan, Dor Verbin, Richard Szeliski, Ben Mildenhall, Jonathan T. Barron, Peter Hedman, Andreas Geiger:
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis. CoRR abs/2402.12377 (2024) - [i119]Stefan A. Baur, Frank Moosmann, Andreas Geiger:
LISO: Lidar-only Self-Supervised 3D Object Detection. CoRR abs/2403.07071 (2024) - [i118]Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger:
Renovating Names in Open-Vocabulary Segmentation Benchmarks. CoRR abs/2403.09593 (2024) - [i117]Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li:
Generalized Predictive Model for Autonomous Driving. CoRR abs/2403.09630 (2024) - [i116]Hongyu Zhou, Jiahao Shao, Lu Xu, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao:
HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting. CoRR abs/2403.12722 (2024) - [i115]Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai:
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images. CoRR abs/2403.14627 (2024) - [i114]Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, Shenghua Gao:
2D Gaussian Splatting for Geometrically Accurate Radiance Fields. CoRR abs/2403.17888 (2024) - [i113]Kashyap Chitta, Daniel Dauner, Andreas Geiger:
SLEDGE: Synthesizing Simulation Environments for Driving Agents with Generative Models. CoRR abs/2403.17933 (2024) - [i112]Zehao Yu, Torsten Sattler, Andreas Geiger:
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes. CoRR abs/2404.10772 (2024) - [i111]Yushi Liu, Alexander Qualmann, Zehao Yu, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Ngo Anh Vien, Andreas Geiger:
Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking. CoRR abs/2405.06336 (2024) - [i110]Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li:
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability. CoRR abs/2405.17398 (2024) - [i109]Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta:
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. CoRR abs/2406.15349 (2024) - [i108]Anpei Chen, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger:
LaRa: Efficient Large-Baseline Radiance Fields. CoRR abs/2407.04699 (2024) - [i107]Haoyu He, Markus Flicke, Jan Buchmann, Iryna Gurevych, Andreas Geiger:
HDT: Hierarchical Document Transformer. CoRR abs/2407.08330 (2024) - [i106]Sheng Miao, Jiaxin Huang, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Andreas Geiger, Yiyi Liao:
Efficient Depth-Guided Urban View Synthesis. CoRR abs/2407.12395 (2024) - [i105]Stefano Esposito, Anpei Chen, Christian Reiser, Samuel Rota Bulò, Lorenzo Porzi, Katja Schwarz, Christian Richardt, Michael Zollhöfer, Peter Kontschieder, Andreas Geiger:
Volumetric Surfaces: Representing Fuzzy Geometries with Multiple Meshes. CoRR abs/2409.02482 (2024) - [i104]Chuqiao Li, Julian Chibane, Yannan He, Naama Pearl, Andreas Geiger, Gerard Pons-Moll:
Unimotion: Unifying 3D Human Motion Synthesis and Understanding. CoRR abs/2409.15904 (2024) - [i103]Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling:
Artificial Kuramoto Oscillatory Neurons. CoRR abs/2410.13821 (2024) - [i102]Haofei Xu, Songyou Peng, Fangjinhua Wang, Hermann Blum, Daniel Barath, Andreas Geiger, Marc Pollefeys:
DepthSplat: Connecting Gaussian Splatting and Depth. CoRR abs/2410.13862 (2024) - [i101]Niklas Hanselmann, Simon Doll, Marius Cordts, Hendrik P. A. Lensch, Andreas Geiger:
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners. CoRR abs/2411.07719 (2024) - [i100]Yichong Lu, Yichi Cai, Shangzhan Zhang, Hongyu Zhou, Haoji Hu, Huimin Yu, Andreas Geiger, Yiyi Liao:
UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation. CoRR abs/2411.19292 (2024) - [i99]Hongyu Zhou, Longzhong Lin, Jiabao Wang, Yichong Lu, Dongfeng Bai, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao:
HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving. CoRR abs/2412.01718 (2024) - [i98]Julian Zimmerlin, Jens Beißwenger, Bernhard Jaeger, Andreas Geiger, Kashyap Chitta:
Hidden Biases of End-to-End Driving Datasets. CoRR abs/2412.09602 (2024) - [i97]Huan Lei, Hongdong Li, Andreas Geiger, Anthony Dick:
Level-Set Parameters: Novel Representation for 3D Shape Analysis. CoRR abs/2412.13502 (2024) - [i96]Yuanbo Yang, Jiahao Shao, Xinyang Li, Yujun Shen, Andreas Geiger, Yiyi Liao:
Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation. CoRR abs/2412.21117 (2024) - 2023
- [j20]Yiyi Liao, Jun Xie, Andreas Geiger:
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3292-3310 (2023) - [j19]Xu Chen, Tianjian Jiang, Jie Song, Max Rietmann, Andreas Geiger, Michael J. Black, Otmar Hilliges:
Fast-SNARF: A Fast Deformer for Articulated Neural Fields. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11796-11809 (2023) - [j18]Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger:
TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12878-12895 (2023) - [j17]Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger:
Unifying Flow, Stereo and Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13941-13958 (2023) - [j16]Carolin Schmitt, Bozidar Antic, Neculai Andrei, Joo Ho Lee, Andreas Geiger:
Towards Scalable Multi-View Reconstruction of Geometry and Materials. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15850-15869 (2023) - [j15]Christian Reiser, Richard Szeliski, Dor Verbin, Pratul P. Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T. Barron, Peter Hedman:
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes. ACM Trans. Graph. 42(4): 89:1-89:12 (2023) - [j14]Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger:
Dictionary Fields: Learning a Neural Basis Decomposition. ACM Trans. Graph. 42(4): 156:1-156:12 (2023) - [j13]Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, Andreas Geiger:
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields. IEEE Trans. Vis. Comput. Graph. 29(5): 2732-2742 (2023) - [c122]Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta:
Parting with Misconceptions about Learning-based Vehicle Motion Planning. CoRL 2023: 1268-1281 - [c121]Bernhard Jaeger, Kashyap Chitta, Andreas Geiger:
Hidden Biases of End-to-End Driving Models. ICCV 2023: 8206-8215 - [c120]Zijian Dong, Xu Chen, Jinlong Yang, Michael J. Black, Otmar Hilliges, Andreas Geiger:
AG3D: Learning to Generate 3D Avatars from 2D Image Collections. ICCV 2023: 14870-14881 - [c119]Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta:
On Offline Evaluation of 3D Object Detection for Autonomous Driving. ICCV (Workshops) 2023: 4086-4091 - [c118]Haiwen Huang, Andreas Geiger, Dan Zhang:
GOOD: Exploring geometric cues for detecting objects in an open world. ICLR 2023 - [c117]Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila:
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. ICML 2023: 30105-30118 - [c116]Jugoslav Stojcheski, Thomas Nürnberg, Michael Ulrich, Thomas Michalke, Claudius Gläser, Andreas Geiger:
Self-Supervised Occupancy Grid Map Completion for Automated Driving. IV 2023: 1-7 - [i95]Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila:
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. CoRR abs/2301.09515 (2023) - [i94]Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger:
Factor Fields: A Unified Framework for Neural Fields and Beyond. CoRR abs/2302.01226 (2023) - [i93]Zihan Zhu, Songyou Peng, Viktor Larsson, Zhaopeng Cui, Martin R. Oswald, Andreas Geiger, Marc Pollefeys:
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM. CoRR abs/2302.03594 (2023) - [i92]Christian Reiser, Richard Szeliski, Dor Verbin, Pratul P. Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T. Barron, Peter Hedman:
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes. CoRR abs/2302.12249 (2023) - [i91]Zijian Dong, Xu Chen, Jinlong Yang, Michael J. Black, Otmar Hilliges, Andreas Geiger:
AG3D: Learning to Generate 3D Avatars from 2D Image Collections. CoRR abs/2305.02312 (2023) - [i90]Carolin Schmitt, Bozidar Antic, Neculai Andrei, Joo Ho Lee, Andreas Geiger:
Towards Scalable Multi-View Reconstruction of Geometry and Materials. CoRR abs/2306.03747 (2023) - [i89]Bernhard Jaeger, Kashyap Chitta, Andreas Geiger:
Hidden Biases of End-to-End Driving Models. CoRR abs/2306.07957 (2023) - [i88]Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta:
Parting with Misconceptions about Learning-based Vehicle Motion Planning. CoRR abs/2306.07962 (2023) - [i87]Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li:
End-to-end Autonomous Driving: Challenges and Frontiers. CoRR abs/2306.16927 (2023) - [i86]Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta:
On Offline Evaluation of 3D Object Detection for Autonomous Driving. CoRR abs/2308.12779 (2023) - [i85]Xiao Fu, Shangzhan Zhang, Tianrun Chen, Yichong Lu, Xiaowei Zhou, Andreas Geiger, Yiyi Liao:
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes. CoRR abs/2309.10815 (2023) - [i84]Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger:
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers. CoRR abs/2310.10375 (2023) - [i83]Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis:
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space. CoRR abs/2311.13570 (2023) - [i82]Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, Andreas Geiger:
Mip-Splatting: Alias-free 3D Gaussian Splatting. CoRR abs/2311.16493 (2023) - [i81]Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf:
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. CoRR abs/2312.00093 (2023) - [i80]Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu:
MuRF: Multi-Baseline Radiance Fields. CoRR abs/2312.04565 (2023) - [i79]Shaofei Wang, Bozidar Antic, Andreas Geiger, Siyu Tang:
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing. CoRR abs/2312.05210 (2023) - [i78]Bernhard Jaeger, Andreas Geiger:
An Invitation to Deep Reinforcement Learning. CoRR abs/2312.08365 (2023) - [i77]Zhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger, Siyu Tang:
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting. CoRR abs/2312.09228 (2023) - [i76]Zinuo You, Andreas Geiger, Anpei Chen:
NeLF-Pro: Neural Light Field Probes. CoRR abs/2312.13328 (2023) - [i75]Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Ping Luo, Andreas Geiger, Hongyang Li:
DriveLM: Driving with Graph Visual Question Answering. CoRR abs/2312.14150 (2023) - 2022
- [c115]Xiao Fu, Shangzhan Zhang, Tianrun Chen, Yichong Lu, Lanyun Zhu, Xiaowei Zhou, Andreas Geiger, Yiyi Liao:
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation. 3DV 2022: 1-11 - [c114]Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger:
PlanT: Explainable Planning Transformers via Object-Level Representations. CoRL 2022: 459-470 - [c113]Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan:
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. CVPR 2022: 5470-5480 - [c112]Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges:
gDNA: Towards Generative Detailed Neural Avatars. CVPR 2022: 20395-20405 - [c111]Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, Otmar Hilliges:
PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence. CVPR 2022: 20438-20448 - [c110]Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang:
ARAH: Animatable Volume Rendering of Articulated Human SDFs. ECCV (32) 2022: 1-19 - [c109]Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su:
TensoRF: Tensorial Radiance Fields. ECCV (32) 2022: 333-350 - [c108]Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger:
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. ECCV (38) 2022: 335-352 - [c107]Andreas Geiger:
Neural Implicit Representations for 3D Vision and Beyond. VISIGRAPP 2022: 21 - [c106]Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger:
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids. NeurIPS 2022 - [c105]Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger:
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction. NeurIPS 2022 - [c104]Axel Sauer, Katja Schwarz, Andreas Geiger:
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets. SIGGRAPH (Conference Paper Track) 2022: 49:1-49:10 - [i74]Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges:
gDNA: Towards Generative Detailed Neural Avatars. CoRR abs/2201.04123 (2022) - [i73]Axel Sauer, Katja Schwarz, Andreas Geiger:
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets. CoRR abs/2202.00273 (2022) - [i72]Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, Otmar Hilliges:
PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence. CoRR abs/2203.01754 (2022) - [i71]Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su:
TensoRF: Tensorial Radiance Fields. CoRR abs/2203.09517 (2022) - [i70]Xiao Fu, Shangzhan Zhang, Tianrun Chen, Yichong Lu, Lanyun Zhu, Xiaowei Zhou, Andreas Geiger, Yiyi Liao:
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation. CoRR abs/2203.15224 (2022) - [i69]Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger:
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. CoRR abs/2204.13683 (2022) - [i68]Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger:
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving. CoRR abs/2205.15997 (2022) - [i67]Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger:
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction. CoRR abs/2206.00665 (2022) - [i66]Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger:
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids. CoRR abs/2206.07695 (2022) - [i65]Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang:
ARAH: Animatable Volume Rendering of Articulated Human SDFs. CoRR abs/2210.10036 (2022) - [i64]Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger:
PlanT: Explainable Planning Transformers via Object-Level Representations. CoRR abs/2210.14222 (2022) - [i63]Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, Andreas Geiger:
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields. CoRR abs/2210.15947 (2022) - [i62]Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger:
Unifying Flow, Stereo and Depth Estimation. CoRR abs/2211.05783 (2022) - [i61]Xu Chen, Tianjian Jiang, Jie Song, Max Rietmann, Andreas Geiger, Michael J. Black, Otmar Hilliges:
Fast-SNARF: A Fast Deformer for Articulated Neural Fields. CoRR abs/2211.15601 (2022) - [i60]Haiwen Huang, Andreas Geiger, Dan Zhang:
GOOD: Exploring Geometric Cues for Detecting Objects in an Open World. CoRR abs/2212.11720 (2022) - 2021
- [j12]Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe:
HOTA: A Higher Order Metric for Evaluating Multi-object Tracking. Int. J. Comput. Vis. 129(2): 548-578 (2021) - [j11]Zeynep Akata, Andreas Geiger, Torsten Sattler:
Computer Vision and Pattern Recognition 2020. Int. J. Comput. Vis. 129(12): 3169-3170 (2021) - [j10]Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker:
Benchmarking Unsupervised Object Representations for Video Sequences. J. Mach. Learn. Res. 22: 183:1-183:61 (2021) - [j9]Lina Liu, Yiyi Liao, Yue Wang, Andreas Geiger, Yong Liu:
Learning Steering Kernels for Guided Depth Completion. IEEE Trans. Image Process. 30: 2850-2861 (2021) - [c103]Michael Niemeyer, Andreas Geiger:
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields. 3DV 2021: 951-961 - [c102]Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler:
Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks. CVPR 2021: 3204-3215 - [c101]Aditya Prakash, Kashyap Chitta, Andreas Geiger:
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. CVPR 2021: 7077-7087 - [c100]Shaofei Wang, Andreas Geiger, Siyu Tang:
Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration. CVPR 2021: 7639-7648 - [c99]Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger:
SMD-Nets: Stereo Mixture Density Networks. CVPR 2021: 8942-8952 - [c98]Michael Niemeyer, Andreas Geiger:
GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields. CVPR 2021: 11453-11464 - [c97]Michael Oechsle, Songyou Peng, Andreas Geiger:
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction. ICCV 2021: 5569-5579 - [c96]Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger:
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes. ICCV 2021: 11574-11584 - [c95]Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, Andreas Geiger:
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation. ICCV 2021: 13106-13116 - [c94]Christian Reiser, Songyou Peng, Yiyi Liao, Andreas Geiger:
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. ICCV 2021: 14315-14325 - [c93]Kashyap Chitta, Aditya Prakash, Andreas Geiger:
NEAT: Neural Attention Fields for End-to-End Autonomous Driving. ICCV 2021: 15773-15783 - [c92]Axel Sauer, Andreas Geiger:
Counterfactual Generative Networks. ICLR 2021 - [c91]Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger:
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation. IV 2021: 532-539 - [c90]Shaofei Wang, Marko Mihajlovic, Qianli Ma, Andreas Geiger, Siyu Tang:
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images. NeurIPS 2021: 2810-2822 - [c89]Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler:
ATISS: Autoregressive Transformers for Indoor Scene Synthesis. NeurIPS 2021: 12013-12026 - [c88]Songyou Peng, Chiyu Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger:
Shape As Points: A Differentiable Poisson Solver. NeurIPS 2021: 13032-13044 - [c87]Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger:
Projected GANs Converge Faster. NeurIPS 2021: 17480-17492 - [c86]Katja Schwarz, Yiyi Liao, Andreas Geiger:
On the Frequency Bias of Generative Models. NeurIPS 2021: 18126-18136 - [c85]Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. NeurIPS Datasets and Benchmarks 2021 - [e1]Zeynep Akata, Andreas Geiger, Torsten Sattler:
Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28 - October 1, 2020, Proceedings. Lecture Notes in Computer Science 12544, Springer 2021, ISBN 978-3-030-71277-8 [contents] - [i59]Axel Sauer, Andreas Geiger:
Counterfactual Generative Networks. CoRR abs/2101.06046 (2021) - [i58]Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. CoRR abs/2102.11859 (2021) - [i57]Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler:
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks. CoRR abs/2103.10429 (2021) - [i56]Christian Reiser, Songyou Peng, Yiyi Liao, Andreas Geiger:
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. CoRR abs/2103.13744 (2021) - [i55]Michael Niemeyer, Andreas Geiger:
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields. CoRR abs/2103.17269 (2021) - [i54]Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger:
SMD-Nets: Stereo Mixture Density Networks. CoRR abs/2104.03866 (2021) - [i53]Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger:
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes. CoRR abs/2104.03953 (2021) - [i52]Shaofei Wang, Andreas Geiger, Siyu Tang:
Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration. CoRR abs/2104.08160 (2021) - [i51]Aditya Prakash, Kashyap Chitta, Andreas Geiger:
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. CoRR abs/2104.09224 (2021) - [i50]Michael Oechsle, Songyou Peng, Andreas Geiger:
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction. CoRR abs/2104.10078 (2021) - [i49]Songyou Peng, Chiyu Max Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger:
Shape As Points: A Differentiable Poisson Solver. CoRR abs/2106.03452 (2021) - [i48]Shaofei Wang, Marko Mihajlovic, Qianli Ma, Andreas Geiger, Siyu Tang:
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images. CoRR abs/2106.11944 (2021) - [i47]Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger:
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation. CoRR abs/2107.04523 (2021) - [i46]Kashyap Chitta, Aditya Prakash, Andreas Geiger:
NEAT: Neural Attention Fields for End-to-End Autonomous Driving. CoRR abs/2109.04456 (2021) - [i45]Yiyi Liao, Jun Xie, Andreas Geiger:
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D. CoRR abs/2109.13410 (2021) - [i44]Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler:
ATISS: Autoregressive Transformers for Indoor Scene Synthesis. CoRR abs/2110.03675 (2021) - [i43]Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger:
Projected GANs Converge Faster. CoRR abs/2111.01007 (2021) - [i42]Katja Schwarz, Yiyi Liao, Andreas Geiger:
On the Frequency Bias of Generative Models. CoRR abs/2111.02447 (2021) - [i41]Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan:
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. CoRR abs/2112.00724 (2021) - 2020
- [j8]Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger:
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art. Found. Trends Comput. Graph. Vis. 12(1-3): 1-308 (2020) - [j7]David Stutz, Andreas Geiger:
Learning 3D Shape Completion Under Weak Supervision. Int. J. Comput. Vis. 128(5): 1162-1181 (2020) - [j6]Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, Andreas Geiger:
Self-Supervised Linear Motion Deblurring. IEEE Robotics Autom. Lett. 5(2): 2475-2482 (2020) - [c84]Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. 3DV 2020: 452-462 - [c83]Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger, Carsten Rother:
Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition. 3DV 2020: 1176-1185 - [c82]Despoina Paschalidou, Luc Van Gool, Andreas Geiger:
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image. CVPR 2020: 1057-1067 - [c81]Carolin Schmitt, Simon Donné, Gernot Riegler, Vladlen Koltun, Andreas Geiger:
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner. CVPR 2020: 3490-3500 - [c80]Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision. CVPR 2020: 3501-3512 - [c79]Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger:
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. CVPR 2020: 5870-5879 - [c78]Eshed Ohn-Bar, Aditya Prakash, Aseem Behl, Kashyap Chitta, Andreas Geiger:
Learning Situational Driving. CVPR 2020: 11293-11302 - [c77]Aditya Prakash, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, Andreas Geiger:
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving. CVPR 2020: 11760-11770 - [c76]Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges:
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis. ECCV (26) 2020: 139-156 - [c75]Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger:
Convolutional Occupancy Networks. ECCV (3) 2020: 523-540 - [c74]Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger:
Label Efficient Visual Abstractions for Autonomous Driving. IROS 2020: 2338-2345 - [c73]Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger:
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. NeurIPS 2020 - [i40]Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, Andreas Geiger:
Self-Supervised Linear Motion Deblurring. CoRR abs/2002.04070 (2020) - [i39]Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger:
Convolutional Occupancy Networks. CoRR abs/2003.04618 (2020) - [i38]Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. CoRR abs/2003.12406 (2020) - [i37]Despoina Paschalidou, Luc Van Gool, Andreas Geiger:
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image. CoRR abs/2004.01176 (2020) - [i36]Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger:
Label Efficient Visual Abstractions for Autonomous Driving. CoRR abs/2005.10091 (2020) - [i35]Paul Sanzenbacher, Lars M. Mescheder, Andreas Geiger:
Learning Neural Light Transport. CoRR abs/2006.03427 (2020) - [i34]Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker:
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. CoRR abs/2006.07034 (2020) - [i33]Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Matthias Nießner, Andreas Geiger, Carsten Rother:
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition. CoRR abs/2006.16011 (2020) - [i32]Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger:
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. CoRR abs/2007.02442 (2020) - [i31]Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges:
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis. CoRR abs/2008.08145 (2020) - [i30]Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe:
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking. CoRR abs/2009.07736 (2020) - [i29]Michael Niemeyer, Andreas Geiger:
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields. CoRR abs/2011.12100 (2020)
2010 – 2019
- 2019
- [c72]Benjamin Coors, Alexandru Paul Condurache, Andreas Geiger:
NoVA: Learning to See in Novel Viewpoints and Domains. 3DV 2019: 116-125 - [c71]Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger:
Occupancy Networks: Learning 3D Reconstruction in Function Space. CVPR 2019: 4460-4470 - [c70]Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger:
Taking a Deeper Look at the Inverse Compositional Algorithm. CVPR 2019: 4581-4590 - [c69]Gernot Riegler, Yiyi Liao, Simon Donné, Vladlen Koltun, Andreas Geiger:
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation. CVPR 2019: 7624-7633 - [c68]Simon Donné, Andreas Geiger:
Learning Non-Volumetric Depth Fusion Using Successive Reprojections. CVPR 2019: 7634-7643 - [c67]Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe:
MOTS: Multi-Object Tracking and Segmentation. CVPR 2019: 7942-7951 - [c66]Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger:
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds. CVPR 2019: 7962-7971 - [c65]Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger:
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids. CVPR 2019: 10344-10353 - [c64]Anurag Ranjan, Joel Janai, Andreas Geiger, Michael J. Black:
Attacking Optical Flow. ICCV 2019: 2404-2413 - [c63]Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. ICCV 2019: 4530-4539 - [c62]Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics. ICCV 2019: 5378-5388 - [c61]Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong Liu, Rang M. H. Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys, Torsten Sattler:
Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System. ICRA 2019: 4695-4702 - [c60]Zhaopeng Cui, Lionel Heng, Ye Chuan Yeo, Andreas Geiger, Marc Pollefeys, Torsten Sattler:
Real-Time Dense Mapping for Self-Driving Vehicles using Fisheye Cameras. ICRA 2019: 6087-6093 - [i28]Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials. CoRR abs/1901.01535 (2019) - [i27]Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe:
MOTS: Multi-Object Tracking and Segmentation. CoRR abs/1902.03604 (2019) - [i26]Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger:
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids. CoRR abs/1904.09970 (2019) - [i25]Ioan Andrei Bârsan, Peidong Liu, Marc Pollefeys, Andreas Geiger:
Robust Dense Mapping for Large-Scale Dynamic Environments. CoRR abs/1905.02781 (2019) - [i24]Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. CoRR abs/1905.07259 (2019) - [i23]Anurag Ranjan, Joel Janai, Andreas Geiger, Michael J. Black:
Attacking Optical Flow. CoRR abs/1910.10053 (2019) - [i22]Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger:
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. CoRR abs/1912.05237 (2019) - [i21]Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. CoRR abs/1912.07372 (2019) - 2018
- [j5]Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother:
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes. Int. J. Comput. Vis. 126(9): 961-972 (2018) - [c59]Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother:
Geometric Image Synthesis. ACCV (6) 2018: 85-100 - [c58]Axel Sauer, Nikolay Savinov, Andreas Geiger:
Conditional Affordance Learning for Driving in Urban Environments. CoRL 2018: 237-252 - [c57]David Stutz, Andreas Geiger:
Learning 3D Shape Completion From Laser Scan Data With Weak Supervision. CVPR 2018: 1955-1964 - [c56]Yiyi Liao, Simon Donné, Andreas Geiger:
Deep Marching Cubes: Learning Explicit Surface Representations. CVPR 2018: 2916-2925 - [c55]Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials. CVPR 2018: 3897-3906 - [c54]Johannes L. Schönberger, Marc Pollefeys, Andreas Geiger, Torsten Sattler:
Semantic Visual Localization. CVPR 2018: 6896-6906 - [c53]Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black:
On the Integration of Optical Flow and Action Recognition. GCPR 2018: 281-297 - [c52]Ian Cherabier, Johannes L. Schönberger, Martin R. Oswald, Marc Pollefeys, Andreas Geiger:
Learning Priors for Semantic 3D Reconstruction. ECCV (12) 2018: 325-341 - [c51]Benjamin Coors, Alexandru Paul Condurache, Andreas Geiger:
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images. ECCV (9) 2018: 525-541 - [c50]Joel Janai, Fatma Güney, Anurag Ranjan, Michael J. Black, Andreas Geiger:
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions. ECCV (16) 2018: 713-731 - [c49]Lars M. Mescheder, Andreas Geiger, Sebastian Nowozin:
Which Training Methods for GANs do actually Converge? ICML 2018: 3478-3487 - [c48]Ioan Andrei Barsan, Peidong Liu, Marc Pollefeys, Andreas Geiger:
Robust Dense Mapping for Large-Scale Dynamic Environments. ICRA 2018: 7510-7517 - [c47]Peidong Liu, Marcel Geppert, Lionel Heng, Torsten Sattler, Andreas Geiger, Marc Pollefeys:
Towards Robust Visual Odometry with a Multi-Camera System. IROS 2018: 1154-1161 - [c46]Benjamin Coors, Alexandru Condurache, Alfred Mertins, Andreas Geiger:
Learning Transformation Invariant Representations with Weak Supervision. VISIGRAPP (5: VISAPP) 2018: 64-72 - [i20]David Stutz, Andreas Geiger:
Learning 3D Shape Completion under Weak Supervision. CoRR abs/1805.07290 (2018) - [i19]Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger:
PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds. CoRR abs/1806.02170 (2018) - [i18]Axel Sauer, Nikolay Savinov, Andreas Geiger:
Conditional Affordance Learning for Driving in Urban Environments. CoRR abs/1806.06498 (2018) - [i17]Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother:
Geometric Image Synthesis. CoRR abs/1809.04696 (2018) - [i16]Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong Liu, Rang M. H. Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys, Torsten Sattler:
Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System. CoRR abs/1809.05477 (2018) - [i15]Zhaopeng Cui, Lionel Heng, Ye Chuan Yeo, Andreas Geiger, Marc Pollefeys, Torsten Sattler:
Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras. CoRR abs/1809.06132 (2018) - [i14]Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger:
Occupancy Networks: Learning 3D Reconstruction in Function Space. CoRR abs/1812.03828 (2018) - [i13]Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger:
Taking a Deeper Look at the Inverse Compositional Algorithm. CoRR abs/1812.06861 (2018) - 2017
- [c45]Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger:
Sparsity Invariant CNNs. 3DV 2017: 11-20 - [c44]Gernot Riegler, Ali Osman Ulusoy, Horst Bischof, Andreas Geiger:
OctNetFusion: Learning Depth Fusion from Data. 3DV 2017: 57-66 - [c43]Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother:
Augmented Reality meets Deep Learning. BMVC 2017 - [c42]Andreas Geiger:
Probabilistic and Deep Models for 3D Reconstruction. BMVC 2017 - [c41]Joel Janai, Fatma Güney, Jonas Wulff, Michael J. Black, Andreas Geiger:
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. CVPR 2017: 1406-1416 - [c40]Thomas Schöps, Johannes L. Schönberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, Andreas Geiger:
A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos. CVPR 2017: 2538-2547 - [c39]Ali Osman Ulusoy, Michael J. Black, Andreas Geiger:
Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels. CVPR 2017: 4531-4540 - [c38]Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger:
OctNet: Learning Deep 3D Representations at High Resolutions. CVPR 2017: 6620-6629 - [c37]Federico Camposeco, Torsten Sattler, Andrea Cohen, Andreas Geiger, Marc Pollefeys:
Toroidal Constraints for Two-Point Localization Under High Outlier Ratios. CVPR 2017: 6700-6708 - [c36]Aseem Behl, Omid Hosseini Jafari, Siva Karthik Mustikovela, Hassan Abu Alhaija, Carsten Rother, Andreas Geiger:
Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? ICCV 2017: 2593-2602 - [c35]Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger:
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. ICML 2017: 2391-2400 - [c34]Peidong Liu, Lionel Heng, Torsten Sattler, Andreas Geiger, Marc Pollefeys:
Direct visual odometry for a fisheye-stereo camera. IROS 2017: 1746-1752 - [c33]Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger:
The Numerics of GANs. NIPS 2017: 1825-1835 - [i12]Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger:
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. CoRR abs/1701.04722 (2017) - [i11]Gernot Riegler, Ali Osman Ulusoy, Horst Bischof, Andreas Geiger:
OctNetFusion: Learning Depth Fusion from Data. CoRR abs/1704.01047 (2017) - [i10]Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger:
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art. CoRR abs/1704.05519 (2017) - [i9]Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger:
The Numerics of GANs. CoRR abs/1705.10461 (2017) - [i8]Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother:
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes. CoRR abs/1708.01566 (2017) - [i7]Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger:
Sparsity Invariant CNNs. CoRR abs/1708.06500 (2017) - [i6]Johannes L. Schönberger, Marc Pollefeys, Andreas Geiger, Torsten Sattler:
Semantic Visual Localization. CoRR abs/1712.05773 (2017) - [i5]Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black:
On the Integration of Optical Flow and Action Recognition. CoRR abs/1712.08416 (2017) - 2016
- [j4]Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun:
Map-Based Probabilistic Visual Self-Localization. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 652-665 (2016) - [c32]Fatma Güney, Andreas Geiger:
Deep Discrete Flow. ACCV (4) 2016: 207-224 - [c31]Ali Osman Ulusoy, Michael J. Black, Andreas Geiger:
Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction. CVPR 2016: 3280-3289 - [c30]Jun Xie, Martin Kiefel, Ming-Ting Sun, Andreas Geiger:
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer. CVPR 2016: 3688-3697 - [i4]Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger:
OctNet: Learning Deep 3D Representations at High Resolutions. CoRR abs/1611.05009 (2016) - [i3]Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger:
Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring. CoRR abs/1611.06684 (2016) - 2015
- [c29]Ali Osman Ulusoy, Andreas Geiger, Michael J. Black:
Towards Probabilistic Volumetric Reconstruction Using Ray Potentials. 3DV 2015: 10-18 - [c28]Moritz Menze, Andreas Geiger:
Object scene flow for autonomous vehicles. CVPR 2015: 3061-3070 - [c27]Fatma Güney, Andreas Geiger:
Displets: Resolving stereo ambiguities using object knowledge. CVPR 2015: 4165-4175 - [c26]Moritz Menze, Christian Heipke, Andreas Geiger:
Discrete Optimization for Optical Flow. GCPR 2015: 16-28 - [c25]Andreas Geiger, Chaohui Wang:
Joint 3D Object and Layout Inference from a Single RGB-D Image. GCPR 2015: 183-195 - [c24]Chen Zhou, Fatma Güney, Yizhou Wang, Andreas Geiger:
Exploiting Object Similarity in 3D Reconstruction. ICCV 2015: 2201-2209 - [c23]Philip Lenz, Andreas Geiger, Raquel Urtasun:
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. ICCV 2015: 4364-4372 - [p1]Christoph Stiller, Alexander Bachmann, Andreas Geiger:
Maschinelles Sehen. Handbuch Fahrerassistenzsysteme 2015: 369-393 - [i2]Jun Xie, Martin Kiefel, Ming-Ting Sun, Andreas Geiger:
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer. CoRR abs/1511.03240 (2015) - 2014
- [j3]Andreas Geiger, Martin Lauer, Christian Wojek, Christoph Stiller, Raquel Urtasun:
3D Traffic Scene Understanding From Movable Platforms. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 1012-1025 (2014) - [c22]Martin Roser, Matthew Dunbabin, Andreas Geiger:
Simultaneous underwater visibility assessment, enhancement and improved stereo. ICRA 2014: 3840-3847 - [c21]Miriam Schönbein, Tobias Straus, Andreas Geiger:
Calibrating and centering quasi-central catadioptric cameras. ICRA 2014: 4443-4450 - [c20]Miriam Schönbein, Andreas Geiger:
Omnidirectional 3D reconstruction in augmented Manhattan worlds. IROS 2014: 716-723 - [i1]Philip Lenz, Andreas Geiger, Raquel Urtasun:
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. CoRR abs/1407.6251 (2014) - 2013
- [b1]Andreas Geiger:
Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms. Karlsruhe Institute of Technology, KIT Scientific Publishing 2013 - [j2]Andreas Geiger, Philip Lenz, Christoph Stiller, Raquel Urtasun:
Vision meets robotics: The KITTI dataset. Int. J. Robotics Res. 32(11): 1231-1237 (2013) - [c19]Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun:
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization. CVPR 2013: 3057-3064 - [c18]Hongyi Zhang, Andreas Geiger, Raquel Urtasun:
Understanding High-Level Semantics by Modeling Traffic Patterns. ICCV 2013: 3056-3063 - [c17]Jannik Fritsch, Tobias Kühnl, Andreas Geiger:
A new performance measure and evaluation benchmark for road detection algorithms. ITSC 2013: 1693-1700 - 2012
- [j1]Andreas Geiger, Martin Lauer, Frank Moosmann, Benjamin Ranft, Holger H. Rapp, Christoph Stiller, Julius Ziegler:
Team AnnieWAY's Entry to the 2011 Grand Cooperative Driving Challenge. IEEE Trans. Intell. Transp. Syst. 13(3): 1008-1017 (2012) - [c16]Andreas Geiger, Philip Lenz, Raquel Urtasun:
Are we ready for autonomous driving? The KITTI vision benchmark suite. CVPR 2012: 3354-3361 - [c15]Andreas Geiger, Frank Moosmann, Omer Car, Bernhard Schuster:
Automatic camera and range sensor calibration using a single shot. ICRA 2012: 3936-3943 - [c14]Henning Lategahn, Andreas Geiger, Bernd Kitt, Christoph Stiller:
Motion-without-structure: Real-time multipose optimization for accurate visual odometry. Intelligent Vehicles Symposium 2012: 649-654 - 2011
- [c13]Andreas Geiger, Martin Lauer, Raquel Urtasun:
A generative model for 3D urban scene understanding from movable platforms. CVPR 2011: 1945-1952 - [c12]Henning Lategahn, Andreas Geiger, Bernd Kitt:
Visual SLAM for autonomous ground vehicles. ICRA 2011: 1732-1737 - [c11]Philip Lenz, Julius Ziegler, Andreas Geiger, Martin Roser:
Sparse scene flow segmentation for moving object detection in urban environments. Intelligent Vehicles Symposium 2011: 926-932 - [c10]Andreas Geiger, Julius Ziegler, Christoph Stiller:
StereoScan: Dense 3d reconstruction in real-time. Intelligent Vehicles Symposium 2011: 963-968 - [c9]Andreas Geiger, Christian Wojek, Raquel Urtasun:
Joint 3D Estimation of Objects and Scene Layout. NIPS 2011: 1467-1475 - 2010
- [c8]Andreas Geiger, Martin Roser, Raquel Urtasun:
Efficient Large-Scale Stereo Matching. ACCV (1) 2010: 25-38 - [c7]Martin Roser, Julian Kurz, Andreas Geiger:
Realistic Modeling of Water Droplets for Monocular Adherent Raindrop Recognition Using Bézier Curves. ACCV Workshops (2) 2010: 235-244 - [c6]Andreas Geiger, Bernd Kitt:
Object flow: A descriptor for classifying traffic motion. Intelligent Vehicles Symposium 2010: 287-293 - [c5]Bernd Kitt, Andreas Geiger, Henning Lategahn:
Visual odometry based on stereo image sequences with RANSAC-based outlier rejection scheme. Intelligent Vehicles Symposium 2010: 486-492
2000 – 2009
- 2009
- [c4]Andreas Geiger, Raquel Urtasun, Trevor Darrell:
Rank priors for continuous non-linear dimensionality reduction. CVPR 2009: 880-887 - [c3]Martin Roser, Andreas Geiger:
Video-based raindrop detection for improved image registration. ICCV Workshops 2009: 570-577 - 2008
- [c2]Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence:
Topologically-constrained latent variable models. ICML 2008: 1080-1087 - 2006
- [c1]Julien Pilet, Andreas Geiger, Pascal Lagger, Vincent Lepetit, Pascal Fua:
An all-in-one solution to geometric and photometric calibration. ISMAR 2006: 69-78
Coauthor Index
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