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EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation


Apr 27, 2023
Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool

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Towards Practical Control of Singular Values of Convolutional Layers


Nov 24, 2022
Alexandra Senderovich, Ekaterina Bulatova, Anton Obukhov, Maxim Rakhuba

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* Published as a conference paper at NeurIPS 2022 

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DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models


Nov 22, 2022
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein

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TT-NF: Tensor Train Neural Fields


Sep 30, 2022
Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool

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* Preprint, under review 

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Pix2NeRF: Unsupervised Conditional $Ο€$-GAN for Single Image to Neural Radiance Fields Translation


Feb 26, 2022
Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool

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* 16 pages, 10 figures 

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Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation


May 17, 2021
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool

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* Accepted at CVPR 2021 

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Exploring Relational Context for Multi-Task Dense Prediction


Apr 28, 2021
David Bruggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool

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Spectral Tensor Train Parameterization of Deep Learning Layers


Mar 07, 2021
Anton Obukhov, Maxim Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool

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* Accepted at AISTATS 2021 

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Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference


Jul 24, 2020
Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool

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* European Conference on Computer Vision (ECCV), 2020 

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T-Basis: a Compact Representation for Neural Networks


Jul 13, 2020
Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool

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* Accepted at ICML 2020 

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