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Anton Obukhov
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2020 – today
- 2024
- [i15]Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler:
Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds. CoRR abs/2403.02136 (2024) - 2023
- [c10]Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov:
Breathing New Life into 3D Assets with Generative Repainting. BMVC 2023: 405 - [c9]Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein:
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. ICCV 2023: 2139-2150 - [c8]Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool:
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. ICCV 2023: 19177-19188 - [i14]Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool:
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. CoRR abs/2304.14291 (2023) - [i13]Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov:
Breathing New Life into 3D Assets with Generative Repainting. CoRR abs/2309.08523 (2023) - [i12]Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler:
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation. CoRR abs/2312.02145 (2023) - [i11]Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov:
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. CoRR abs/2312.03048 (2023) - [i10]Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler:
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds. CoRR abs/2312.04962 (2023) - 2022
- [b1]Anton Obukhov:
Tensor Decompositions in Deep Learning. ETH Zurich, Zürich, Switzerland, 2022 - [c7]Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. CVPR 2022: 3971-3980 - [c6]Alexandra Senderovich, Ekaterina Bulatova, Anton Obukhov, Maxim V. Rakhuba:
Towards Practical Control of Singular Values of Convolutional Layers. NeurIPS 2022 - [i9]Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. CoRR abs/2202.13162 (2022) - [i8]Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool:
TT-NF: Tensor Train Neural Fields. CoRR abs/2209.15529 (2022) - [i7]Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein:
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models. CoRR abs/2211.12131 (2022) - [i6]Alexandra Senderovich, Ekaterina Bulatova, Anton Obukhov, Maxim V. Rakhuba:
Towards Practical Control of Singular Values of Convolutional Layers. CoRR abs/2211.13771 (2022) - 2021
- [c5]Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool:
Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS 2021: 3547-3555 - [c4]Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. CVPR 2021: 8197-8207 - [c3]David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. ICCV 2021: 15849-15858 - [i5]Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool:
Spectral Tensor Train Parameterization of Deep Learning Layers. CoRR abs/2103.04217 (2021) - [i4]David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. CoRR abs/2104.13874 (2021) - [i3]Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation. CoRR abs/2105.07830 (2021) - 2020
- [c2]Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. ECCV (20) 2020: 689-707 - [c1]Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. ICML 2020: 7392-7404 - [i2]Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. CoRR abs/2007.06631 (2020) - [i1]Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference. CoRR abs/2007.12540 (2020)
Coauthor Index
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