Artsiom Sanakoyeu

According to our database, Artsiom Sanakoyeu authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes.

Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua

CoRR, 2024

StyleAvatar: Stylizing Animatable Head Avatars.

Juan C. Pérez, Thu Nguyen-Phuoc, Chen Cao, Artsiom Sanakoyeu, Tomas Simon, Pablo Arbeláez, Bernard Ghanem, Ali K. Thabet, Albert Pumarola

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Cache Me if You Can: Accelerating Diffusion Models through Block Caching.

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

CoRR, 2023

BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis.

Angela Castillo, María Escobar, Guillaume Jeanneret, Albert Pumarola, Pablo Arbeláez, Ali K. Thabet, Artsiom Sanakoyeu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Re-ReND: Real-time Rendering of NeRFs across Devices.

Sara Rojas, Jesus Zarzar, Juan C. Pérez, Artsiom Sanakoyeu, Ali K. Thabet, Albert Pumarola, Bernard Ghanem

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model.

Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali K. Thabet, Artsiom Sanakoyeu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Deep Metric Learning by Divide and Conquer.

Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer

IEEE Trans. Pattern Anal. Mach. Intell., 2022

MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving.

Stepan Konev, Kirill Brodt, Artsiom Sanakoyeu

CoRR, 2022

VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids.

Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Visual Representation Learning with Limited Supervision.

Artsiom Sanakoyeu

PhD thesis, 2021

Discovering Relationships Between Object Categories via Universal Canonical Maps.

Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Transferring Dense Pose to Proximal Animal Classes.

Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors.

Akhmedkhan Shabanov, Ilya Krotov, Nikolay Chinaev, Vsevolod Poletaev, Sergei Kozlukov, Igor Pasechnik, Bulat Yakupov, Artsiom Sanakoyeu, Vadim Lebedev, Dmitry Ulyanov

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Content and Style Disentanglement for Artistic Style Transfer.

Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks.

Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura

Proceedings of the Pattern Recognition, 2019

Divide and Conquer the Embedding Space for Metric Learning.

Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Content Transformation Block for Image Style Transfer.

Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep unsupervised learning of visual similarities.

Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer

Pattern Recognit., 2018

A Style-Aware Content Loss for Real-Time HD Style Transfer.

Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Deep Unsupervised Similarity Learning Using Partially Ordered Sets.

Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

CliqueCNN: Deep Unsupervised Exemplar Learning.

Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Björn Ommer

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016