Maxim Tatarchenko

Kilian Rambach

CoRR, 2023

2021

Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency.

[BibT_eX]

[DOI]

Sudhanshu Mittal

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Scalable 3D deep learning: methods and applications.

[BibT_eX]

[DOI]

PhD thesis, 2020

2019

Parting with Illusions about Deep Active Learning.

[BibT_eX]

[DOI]

CoRR, 2019

ISOO<sup>V2</sup> DL - Semantic Instance Segmentation of Touching and Overlapping Objects.

[BibT_eX]

[DOI]

Anton Böhm

Thorsten Falk

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

What Do Single-View 3D Reconstruction Networks Learn?

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Tangent Convolutions for Dense Prediction in 3D.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning to Generate Chairs, Tables and Cars with Convolutional Networks.

[BibT_eX]

[DOI]

Jost Tobias Springenberg

IEEE Trans. Pattern Anal. Mach. Intell., 2017

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network.

[BibT_eX]

[DOI]