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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.dagstuhl.de/img/orcid-mark.12x12.png "0009-0008-6573-0553")
— University of Hamburg, Institute for Operations Research, Germany
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2020 – today
- 2024
[j21]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)- [c136]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 - [c135]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 - [c134]Zhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger, Siyu Tang:
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting. CVPR 2024: 5020-5030 - [c133]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 - [c132]Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, Andreas Geiger:
Mip-Splatting: Alias-Free 3D Gaussian Splatting. CVPR 2024: 19447-19456 - [c131]Zinuo You, Andreas Geiger, Anpei Chen:
NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis. CVPR 2024: 19833-19843 - [c130]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 - [c129]Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf:
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. CVPR 2024: 21295-21304 - [c128]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 - [c127]Kashyap Chitta, Daniel Dauner, Andreas Geiger:
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic. ECCV (4) 2024: 57-74 - [c126]Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger:
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers. ICLR 2024 - [c125]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 - [c124]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 - [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 - [i111]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) - [i110]Stefan A. Baur, Frank Moosmann, Andreas Geiger:
LISO: Lidar-only Self-Supervised 3D Object Detection. CoRR abs/2403.07071 (2024) - [i109]Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger:
Renovating Names in Open-Vocabulary Segmentation Benchmarks. CoRR abs/2403.09593 (2024) - [i108]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) - [i107]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) - [i106]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) - [i105]Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, Shenghua Gao:
2D Gaussian Splatting for Geometrically Accurate Radiance Fields. CoRR abs/2403.17888 (2024) - [i104]Kashyap Chitta, Daniel Dauner, Andreas Geiger:
SLEDGE: Synthesizing Simulation Environments for Driving Agents with Generative Models. CoRR abs/2403.17933 (2024) - [i103]Zehao Yu, Torsten Sattler, Andreas Geiger:
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes. CoRR abs/2404.10772 (2024) - [i102]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) - [i101]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) - [i100]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) - [i99]Anpei Chen, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger:
LaRa: Efficient Large-Baseline Radiance Fields. CoRR abs/2407.04699 (2024) - [i98]Haoyu He, Markus Flicke, Jan Buchmann, Iryna Gurevych, Andreas Geiger:
HDT: Hierarchical Document Transformer. CoRR abs/2407.08330 (2024) - [i97]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) - [i96]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) - 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