Artsiom Sanakoyeu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 37

Top Topics

Unsupervised Learning

Motion Synthesis

Diffusion Models

Convolutional Neural Networks

Top Venues

Publications

Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua
Using Motion Cues to Supervise Single-frame Body Pose & Shape Estimation in Low Data Regimes. Trans. Mach. Learn. Res. 2024 (2024)
Jonas Kohler, Albert Pumarola, Edgar Schönfeld, Artsiom Sanakoyeu, Roshan Sumbaly, Peter Vajda, Ali K. Thabet
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation. CoRR (2024)
Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua
Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes. CoRR (2024)
Juan C. Pérez, Thu Nguyen-Phuoc, Chen Cao, Artsiom Sanakoyeu, Tomas Simon, Pablo Arbeláez, Bernard Ghanem, Ali K. Thabet, Albert Pumarola
StyleAvatar: Stylizing Animatable Head Avatars. WACV (2024)
Sara Rojas, Jesus Zarzar, Juan Camilo Pérez, Artsiom Sanakoyeu, Ali K. Thabet, Albert Pumarola, Bernard Ghanem
Re-ReND: Real-time Rendering of NeRFs across Devices. CoRR (2023)
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali K. Thabet, Artsiom Sanakoyeu
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model. CVPR (2023)
Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CoRR (2023)
Sara Rojas, Jesus Zarzar, Juan C. Pérez, Artsiom Sanakoyeu, Ali K. Thabet, Albert Pumarola, Bernard Ghanem
Re-ReND: Real-time Rendering of NeRFs across Devices. ICCV (2023)
Angela Castillo, María Escobar, Guillaume Jeanneret, Albert Pumarola, Pablo Arbeláez, Ali K. Thabet, Artsiom Sanakoyeu
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis. ICCV (Workshops) (2023)
Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids. CoRR (2023)
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali K. Thabet, Artsiom Sanakoyeu
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model. CoRR (2023)
Angela Castillo, María Escobar, Guillaume Jeanneret, Albert Pumarola, Pablo Arbeláez, Ali K. Thabet, Artsiom Sanakoyeu
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis. CoRR (2023)
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
Improving Deep Metric Learning by Divide and Conquer. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Stepan Konev, Kirill Brodt, Artsiom Sanakoyeu
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving. CoRR (2022)
Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids. NeurIPS (2022)
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi
Discovering Relationships between Object Categories via Universal Canonical Maps. CoRR (2021)
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
Improving Deep Metric Learning by Divide and Conquer. CoRR (2021)
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi
Discovering Relationships Between Object Categories via Universal Canonical Maps. CVPR (2021)
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova
Transferring Dense Pose to Proximal Animal Classes. CoRR (2020)
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
A Content Transformation Block For Image Style Transfer. CoRR (2020)
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova
Transferring Dense Pose to Proximal Animal Classes. CVPR (2020)
Akhmedkhan Shabanov, Ilya Krotov, Nikolay Chinaev, Vsevolod Poletaev, Sergei Kozlukov, Igor Pasechnik, Bulat Yakupov, Artsiom Sanakoyeu, Vadim Lebedev, Dmitry Ulyanov
Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors. CoRR (2020)
Akhmedkhan Shabanov, Ilya Krotov, Nikolay Chinaev, Vsevolod Poletaev, Sergei Kozlukov, Igor Pasechnik, Bulat Yakupov, Artsiom Sanakoyeu, Vadim Lebedev, Dmitry Ulyanov
Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors. 3DV (2020)
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
A Content Transformation Block for Image Style Transfer. CVPR (2019)
Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura
Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks. GCPR (2019)
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer
Divide and Conquer the Embedding Space for Metric Learning. CVPR (2019)
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer
Divide and Conquer the Embedding Space for Metric Learning. CoRR (2019)
Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer
Content and Style Disentanglement for Artistic Style Transfer. ICCV (2019)
Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks. CoRR (2019)
Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer
A Style-Aware Content Loss for Real-Time HD Style Transfer. ECCV (8) (2018)
Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer
A Style-Aware Content Loss for Real-time HD Style Transfer. CoRR (2018)
Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer
Deep Unsupervised Learning of Visual Similarities. CoRR (2018)
Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer
Deep unsupervised learning of visual similarities. Pattern Recognit. 78 (2018)
Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer
Deep Unsupervised Similarity Learning Using Partially Ordered Sets. CVPR (2017)
Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer
Deep Unsupervised Similarity Learning using Partially Ordered Sets. CoRR (2017)
Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Sutter, Björn Ommer
CliqueCNN: Deep Unsupervised Exemplar Learning. CoRR (2016)
Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Björn Ommer
CliqueCNN: Deep Unsupervised Exemplar Learning. NIPS (2016)