Maxim Tatarchenko
Maxim Tatarchenko
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TitleCited byYear
Multi-view 3d models from single images with a convolutional network
M Tatarchenko, A Dosovitskiy, T Brox
European Conference on Computer Vision, 322-337, 2016
Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
M Tatarchenko, A Dosovitskiy, T Brox
Proceedings of the IEEE International Conference on Computer Vision, 2088-2096, 2017
Learning to generate chairs, tables and cars with convolutional networks
A Dosovitskiy, JT Springenberg, M Tatarchenko, T Brox
IEEE transactions on pattern analysis and machine intelligence 39 (4), 692-705, 2016
Tangent convolutions for dense prediction in 3d
M Tatarchenko, J Park, V Koltun, QY Zhou
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
What Do Single-view 3D Reconstruction Networks Learn?
M Tatarchenko, SR Richter, R Ranftl, Z Li, V Koltun, T Brox
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Self-supervised 3d shape and viewpoint estimation from single images for robotics
O Mees, M Tatarchenko, T Brox, W Burgard
arXiv preprint arXiv:1910.07948, 2019
Semi-supervised semantic segmentation with high-and low-level consistency
S Mittal, M Tatarchenko, T Brox
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
3D-reconstruction of indoor environments from human activity
B Frank, M Ruhnke, M Tatarchenko, W Burgard
2015 IEEE International Conference on Robotics and Automation (ICRA), 4644-4649, 2015
Parting with Illusions about Deep Active Learning
S Mittal, M Tatarchenko, Ö Çiçek, T Brox
arXiv preprint arXiv:1912.05361, 2019
ISOOV2 DL - Semantic Instance Segmentation of Touching and Overlapping Objects
A Böhm, M Tatarchenko, T Falk
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
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