Artsiom Sanakoyeu

artsiom.sanakoyeu (at) iwr.uni-heidelberg (dot) de
Google Scholar / LinkedIn / GitHub / Kaggle

About me

I am a PhD student at Computer Vision group at Heidelberg University under the supervision of Björn Ommer.


News

▻ 09/2019. I was ranked as one of the top-scoring reviwers at NeurIPS 2019.

▻ 08/2019. Our paper Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks was accepted at GCPR 2019 [Oral].

▻ 08/2019. Our paper Content and Style Disentanglement for Artistic Style Transfer was accepted at ICCV 2019.

▻ 07/2019. Invited talk at SIAM chapter in Heidelberg: Identification of Humpback Whales using Deep Metric Learning

▻ 2 papers accepted at CVPR 2019.

▻ My team finished 10th (out of 2131 teams) in Humpback Whale Identification challenge on Kaggle. Tweet.

▻ Our paper A Style-Aware Content Loss for Real-time HD Style Transfer was accepted at ECCV 2018 [Oral].


Papers

Content and Style Disentanglement for Artistic Style Transfer
Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer
ICCV 2019.
[Paper] [Website] [Code] [Video]
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks
Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura
German Conference on Pattern Recognition (GCPR), 2019.
[Paper] [Code]
Divide and Conquer the Embedding Space for Metric Learning
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer
CVPR 2019.
[Paper] [Code]
A Content Transformation Block for Image Style Transfer
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
CVPR 2019.
[Paper] [Website] [Code]
A Style-Aware Content Loss for Real-time HD Style Transfer
Artsiom Sanakoyeu*, Dmytro Kotovenko*, Sabine Lang, Björn Ommer
ECCV 2018 (Oral).
[Paper] [Website] [Code]
Deep Unsupervised Learning of Visual Similarities
Artsiom Sanakoyeu, Miguel Bautista, Björn Ommer
Pattern Recognition. 78, 2018.
[Paper] [Website]
Deep Unsupervised Similarity Learning using Partially Ordered Sets
Miguel Bautista*, Artsiom Sanakoyeu*, Björn Ommer
CVPR 2017.
[Paper] [Code]
CliqueCNN: Deep Unsupervised Exemplar Learning
Miguel Bautista*, Artsiom Sanakoyeu*, Björn Ommer
NIPS 2016.
[Paper] [Website] [Video Presentation] [Code]

Other Projects

1st place: Carvana Image Masking Challenge on Kaggle.com
Carvana, a successful online used car startup, challenged the Kaggle community to develop an algorithm that automatically removes the photo background.
1st place out of 735 participants, Kaggle.com, 2017
[Blogpost] [Leaderboard] [Code]

Invited Talks

Identification of Humpback Whales using Deep Metric Learning
Society for Industrial and Applied Mathematics (SIAM), Heidelberg, July 2019
[Slides]

Review activities

ICCV, NIPS, IEEE Transactions on Image Processing