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Parting with Illusions about Deep Active Learning

Dec 11, 2019
Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox


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Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics

Oct 17, 2019
Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard

* Accepted at the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Video at https://www.youtube.com/watch?v=oQgHG9JdMP4 

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Semi-Supervised Semantic Segmentation with High- and Low-level Consistency

Aug 15, 2019
Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox


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What Do Single-view 3D Reconstruction Networks Learn?

May 09, 2019
Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox


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Tangent Convolutions for Dense Prediction in 3D

Jul 06, 2018
Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou


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Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs

Aug 07, 2017
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox


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Learning to Generate Chairs, Tables and Cars with Convolutional Networks

Aug 02, 2017
Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko, Thomas Brox

* v4: final PAMI version. New architecture figure 

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Multi-view 3D Models from Single Images with a Convolutional Network

Aug 02, 2016
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox


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