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Maxim Tatarchenko
Maxim Tatarchenko
Bosch Center for Artificial Intelligence
Подтвержден адрес электронной почты в домене de.bosch.com - Главная страница
Название
Процитировано
Процитировано
Год
Learning to generate chairs, tables, and cars with convolutional networks
A Dosovitskly, JT Springenberg, M Tatarchenko, T Brox
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (4), 692-705, 2017
1062*2017
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
9042017
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
6902018
Multi-view 3d models from single images with a convolutional network
M Tatarchenko, A Dosovitskiy, T Brox
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
535*2016
What do single-view 3d reconstruction networks learn?
M Tatarchenko, SR Richter, R Ranftl, Z Li, V Koltun, T Brox
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
4872019
Semi-supervised semantic segmentation with high-and low-level consistency
S Mittal, M Tatarchenko, T Brox
IEEE transactions on pattern analysis and machine intelligence 43 (4), 1369-1379, 2019
4472019
Parting with illusions about deep active learning
S Mittal, M Tatarchenko, Ö Çiçek, T Brox
arXiv preprint arXiv:1912.05361, 2019
622019
Self-supervised 3d shape and viewpoint estimation from single images for robotics
O Mees, M Tatarchenko, T Brox, W Burgard
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
242019
Fostering generalization in single-view 3d reconstruction by learning a hierarchy of local and global shape priors
J Bechtold, M Tatarchenko, V Fischer, T Brox
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
192021
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
92019
Image semantic segmentation of indoor scenes: A survey
R Velastegui, M Tatarchenko, S Karaoglu, T Gevers
Computer Vision and Image Understanding 248, 104102, 2024
42024
SceneTeller: Language-to-3D Scene Generation
BM Öcal, M Tatarchenko, S Karaoğlu, T Gevers
European Conference on Computer Vision, 362-378, 2024
32024
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
32015
Histogram-based Deep Learning for Automotive Radar
M Tatarchenko, K Rambach
2023 IEEE Radar Conference (RadarConf23), 1-6, 2023
22023
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory
J Kälble, S Wirges, M Tatarchenko, E Ilg
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
RealDiff: Real-world 3D Shape Completion using Self-Supervised Diffusion Models
BM Öcal, M Tatarchenko, S Karaoglu, T Gevers
arXiv preprint arXiv:2409.10180, 2024
2024
Scalable 3D Deep Learning: Methods and Applications
M Tatarchenko
PhD Thesis, 2020
2020
SceneTeller: Language-to-3D Scene Generation–Supplementary Material–
BM Öcal, M Tatarchenko, S Karaoğlu, T Gevers
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