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]