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Anton Obukhov

About

I am a postdoctoral researcher in the Photogrammetry and Remote Sensing group at ETH Zurich, broadly interested in Computer Vision and Machine Learning research. I received my PhD in the Computer Vision Laboratory at ETH Zurich. Even before that, I spent a decade working in the industry: I helped NVIDIA revolutionize parallel computations with NVIDIA CUDA technology and later joined Ubiquiti Networks to build multiple video camera products.

Publications

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

Shengqu Cai · Eric Ryan Chan · Songyou Peng · Mohamad Shahbazi · Anton Obukhov · Luc Van Gool · Gordon Wetzstein

Preprint, under review

TT-NF: Tensor Train Neural Fields

Anton Obukhov · Mikhail Usvyatsov · Christos Sakaridis · Konrad Schindler · Luc Van Gool

Preprint, under review

Towards Practical Control of Singular Values of Convolutional Layers

Alexandra Senderovich · Ekaterina Bulatova · Anton Obukhov · Maxim Rakhuba

Conference on Neural Information Processing Systems (NeurIPS) 2022

Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation

Shengqu Cai · Anton Obukhov · Dengxin Dai · Luc Van Gool

Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Spectral Tensor Train Parameterization of Deep Learning Layers

Anton Obukhov · Maxim Rakhuba · Alexander Liniger · Zhiwu Huang · Stamatios Georgoulis · Dengxin Dai · Luc Van Gool

International Conference on Artificial Intelligence and Statistics (AISTATS) 2021

Exploring Relational Context for Multi-Task Dense Prediction

David Bruggemann · Menelaos Kanakis · Anton Obukhov · Stamatios Georgoulis · Luc Van Gool

International Conference on Computer Vision (ICCV) 2021

Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation

Suman Saha · Anton Obukhov · Danda Pani Paudel · Menelaos Kanakis · Yuhua Chen · Stamatios Georgoulis · Luc Van Gool

Conference on Computer Vision and Pattern Recognition (CVPR) 2021

Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference

Menelaos Kanakis · David Bruggemann · Suman Saha · Stamatios Georgoulis · Anton Obukhov · Luc Van Gool

European Conference on Computer Vision (ECCV) 2020

T-Basis: a Compact Representation for Neural Networks

Anton Obukhov · Maxim Rakhuba · Stamatios Georgoulis · Menelaos Kanakis · Dengxin Dai · Luc Van Gool

International Conference on Machine Learning (ICML) 2020

Haar Classifiers for Object Detection with CUDA

Anton Obukhov

GPU Computing Gems Emerald Edition 2011

Discrete Cosine Transform for 8x8 Blocks with CUDA

Anton Obukhov · Alexander Kharlamov

NVIDIA CUDA SDK 2008