Maxim Tatarchenko

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Convolutional Network

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Basak Melis Öcal, Maxim Tatarchenko, Sezer Karaoglu, Theo Gevers
SceneTeller: Language-to-3D Scene Generation. CoRR (2024)
Ronny Velastegui, Maxim Tatarchenko, Sezer Karaoglu, Theo Gevers
Image semantic segmentation of indoor scenes: A survey. Comput. Vis. Image Underst. 248 (2024)
Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory. CoRR (2024)
Maxim Tatarchenko, Kilian Rambach
Histogram-based Deep Learning for Automotive Radar. CoRR (2023)
Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox
Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox
Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. CVPR (2021)
Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox
Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. CoRR (2021)
Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics. IROS (2019)
Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency. CoRR (2019)
Anton Böhm, Maxim Tatarchenko, Thorsten Falk
DL - Semantic Instance Segmentation of Touching and Overlapping Objects. ISBI (2019)
Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox
What Do Single-View 3D Reconstruction Networks Learn? CVPR (2019)
Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics. CoRR (2019)
Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox
Parting with Illusions about Deep Active Learning. CoRR (2019)
Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox
What Do Single-view 3D Reconstruction Networks Learn? CoRR (2019)
Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou
Tangent Convolutions for Dense Prediction in 3D. CoRR (2018)
Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou
Tangent Convolutions for Dense Prediction in 3D. CVPR (2018)
Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko, Thomas Brox
Learning to Generate Chairs, Tables and Cars with Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. CoRR (2017)
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. ICCV (2017)
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
Multi-view 3D Models from Single Images with a Convolutional Network. ECCV (7) (2016)
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network. CoRR (2015)
Barbara Frank, Michael Ruhnke, Maxim Tatarchenko, Wolfram Burgard
3D-reconstruction of indoor environments from human activity. ICRA (2015)