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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)
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2020 – today
- 2023
[j13]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)- [i78]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) - [i77]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) - [i76]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) - [i75]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) - 2022
- [c113]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 - [c112]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 - [c111]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 - [c110]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 - [c109]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 - [c108]Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang:
ARAH: Animatable Volume Rendering of Articulated Human SDFs. ECCV (32) 2022: 1-19 - [c107]Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su:
TensoRF: Tensorial Radiance Fields. ECCV (32) 2022: 333-350 - [c106]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 - [c105]Andreas Geiger:
Neural Implicit Representations for 3D Vision and Beyond. VISIGRAPP 2022: 21 - [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,