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Anton Obukhov

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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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 $π$-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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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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