Search Results for author: Artsiom Sanakoyeu

Found 11 papers, 6 papers with code

Improving Deep Metric Learning by Divide and Conquer

no code implementations9 Sep 2021 Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer

We propose to build a more expressive representation by jointly splitting the embedding space and the data hierarchically into smaller sub-parts.

Image Retrieval Metric Learning

A Content Transformation Block For Image Style Transfer

1 code implementation CVPR 2019 Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer

Recent work has significantly improved the representation of color and texture and computational speed and image resolution.

Image Generation Style Transfer

Transferring Dense Pose to Proximal Animal Classes

no code implementations CVPR 2020 Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova

Recent contributions have demonstrated that it is possible to recognize the pose of humans densely and accurately given a large dataset of poses annotated in detail.

Transfer Learning

Divide and Conquer the Embedding Space for Metric Learning

1 code implementation CVPR 2019 Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer

Approaches for learning a single distance metric often struggle to encode all different types of relationships and do not generalize well.

Metric Learning

Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks

4 code implementations9 Apr 2019 Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura

Seismic image analysis plays a crucial role in a wide range of industrial applications and has been receiving significant attention.

A Style-Aware Content Loss for Real-time HD Style Transfer

9 code implementations ECCV 2018 Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer

These and our qualitative results ranging from small image patches to megapixel stylistic images and videos show that our approach better captures the subtle nature in which a style affects content.

Image Stylization Video Style Transfer

Deep Unsupervised Learning of Visual Similarities

no code implementations22 Feb 2018 Artsiom Sanakoyeu, Miguel A. Bautista, Björn Ommer

Exemplar learning of visual similarities in an unsupervised manner is a problem of paramount importance to Computer Vision.

Object Classification

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