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NEAT: Neural Attention Fields for End-to-End Autonomous Driving


Sep 09, 2021
Kashyap Chitta, Aditya Prakash, Andreas Geiger

* ICCV 2021 

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Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation


Jul 09, 2021
Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger

* Accepted to IEEE IV 2021 

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MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images


Jun 22, 2021
Shaofei Wang, Marko Mihajlovic, Qianli Ma, Andreas Geiger, Siyu Tang

* 17 pages, 9 figures. Project page: https://neuralbodies.github.io/metavatar/ 

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Shape As Points: A Differentiable Poisson Solver


Jun 07, 2021
Songyou Peng, Chiyu "Max" Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger


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UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction


Apr 20, 2021
Michael Oechsle, Songyou Peng, Andreas Geiger


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Multi-Modal Fusion Transformer for End-to-End Autonomous Driving


Apr 19, 2021
Aditya Prakash, Kashyap Chitta, Andreas Geiger

* CVPR 2021 

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Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration


Apr 16, 2021
Shaofei Wang, Andreas Geiger, Siyu Tang

* CVPR camera ready. Project page: https://taconite.github.io/PTF/website/PTF.html 

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SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes


Apr 08, 2021
Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger

* video: https://youtu.be/rCEpFTKjFHE ; supplementary materials: https://bit.ly/3t1Tk6F 

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SMD-Nets: Stereo Mixture Density Networks


Apr 08, 2021
Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger

* CVPR 2021. Project Page: https://github.com/fabiotosi92/SMD-Nets 

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CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields


Mar 31, 2021
Michael Niemeyer, Andreas Geiger


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KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs


Mar 25, 2021
Christian Reiser, Songyou Peng, Yiyi Liao, Andreas Geiger


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Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks


Mar 18, 2021
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler

* To appear in CVPR 2021 

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STEP: Segmenting and Tracking Every Pixel


Feb 23, 2021
Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixe, Liang-Chieh Chen

* Datasets, metric, and baselines will be made publicly available soon 

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Counterfactual Generative Networks


Jan 15, 2021
Axel Sauer, Andreas Geiger

* Published at ICLR 2021 

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GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields


Nov 24, 2020
Michael Niemeyer, Andreas Geiger


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HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking


Sep 29, 2020
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixe, Bastian Leibe

* Pre-print. Accepted for Publication in the International Journal of Computer Vision, 19 August 2020. Code is available at https://github.com/JonathonLuiten/HOTA-metrics 

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Category Level Object Pose Estimation via Neural Analysis-by-Synthesis


Aug 18, 2020
Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges


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GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis


Jul 05, 2020
Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger


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Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition


Jul 01, 2020
Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger, Carsten Rother


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Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences


Jun 12, 2020
Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker


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Learning Neural Light Transport


Jun 05, 2020
Paul Sanzenbacher, Lars Mescheder, Andreas Geiger

* 31 pages, 17 figures 

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Label Efficient Visual Abstractions for Autonomous Driving


May 20, 2020
Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger

* First two authors contributed equally, listed in alphabetical order 

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Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image


Apr 02, 2020
Despoina Paschalidou, Luc van Gool, Andreas Geiger

* To appear at CVPR 2020, project page https://github.com/paschalidoud/hierarchical_primitives 

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Learning Implicit Surface Light Fields


Mar 27, 2020
Michael Oechsle, Michael Niemeyer, Lars Mescheder, Thilo Strauss, Andreas Geiger


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Convolutional Occupancy Networks


Mar 10, 2020
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger


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Self-Supervised Linear Motion Deblurring


Feb 10, 2020
Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, Andreas Geiger

* Accepted by Robotics and Automation Letters (RA-L) 

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Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision


Dec 16, 2019
Michael Niemeyer, Lars Mescheder, Michael Oechsle, Andreas Geiger


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Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis


Dec 11, 2019
Yiyi Liao, Katja Schwarz, Lars Mescheder, Andreas Geiger


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