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Artsiom Sanakoyeuartsiom.sanakoyeu (at) iwr.uni-heidelberg (dot) deGoogle Scholar / LinkedIn / GitHub / Kaggle |
I am a PhD student at Computer Vision group at Heidelberg University under the supervision of Björn Ommer.
▻ 09/2019. I was ranked as one of the best reviewers at NeurIPS 2019 (top 400).
▻ 09/2019. Started internship at Facebook AI Research (with Andrea Vedaldi and Natalia Neverova).
▻ 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].
Content and Style Disentanglement for Artistic Style Transfer
Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer ICCV 2019. [Paper] [Website] [Code] [Video] |
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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] |
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Divide and Conquer the Embedding Space for Metric Learning
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer CVPR 2019. [Paper] [Code] |
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A Content Transformation Block for Image Style Transfer
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer CVPR 2019. [Paper] [Website] [Code] |
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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] |
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Deep Unsupervised Learning of Visual Similarities
Artsiom Sanakoyeu, Miguel Bautista, Björn Ommer Pattern Recognition. 78, 2018. [Paper] [Website] |
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Deep Unsupervised Similarity Learning using Partially Ordered Sets
Miguel Bautista*, Artsiom Sanakoyeu*, Björn Ommer CVPR 2017. [Paper] [Code] |
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CliqueCNN: Deep Unsupervised Exemplar Learning
Miguel Bautista*, Artsiom Sanakoyeu*, Björn Ommer NIPS 2016. [Paper] [Website] [Video Presentation] [Code] |
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] |
Identification of Humpback Whales using Deep Metric Learning
Society for Industrial and Applied Mathematics (SIAM), Heidelberg, July 2019 [Slides] |
NeurIPS ( Best Reviewer 2019 ), ICCV, IEEE Transactions on Image Processing