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Artsiom Sanakoyeu
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2020 – today
- 2024
- [j3]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) - [c16]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. CVPR 2024: 6211-6220 - [c15]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: 8663-8672 - [i19]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 abs/2402.02736 (2024) - [i18]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 abs/2405.05224 (2024) - 2023
- [c14]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: 481-490 - [c13]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: 3609-3618 - [c12]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: 4223-4233 - [i17]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 abs/2303.08717 (2023) - [i16]Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman:
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids. CoRR abs/2303.14569 (2023) - [i15]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 abs/2304.08577 (2023) - [i14]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 abs/2304.11118 (2023) - [i13]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 abs/2312.03209 (2023) - 2022
- [j2]Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer:
Improving Deep Metric Learning by Divide and Conquer. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8306-8320 (2022) - [c11]Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman:
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids. NeurIPS 2022 - [i12]Stepan Konev, Kirill Brodt, Artsiom Sanakoyeu:
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving. CoRR abs/2206.02163 (2022) - 2021
- [b1]Artsiom Sanakoyeu:
Visual Representation Learning with Limited Supervision. University of Heidelberg, Germany, 2021 - [c10]Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi:
Discovering Relationships Between Object Categories via Universal Canonical Maps. CVPR 2021: 404-413 - [i11]Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi:
Discovering Relationships between Object Categories via Universal Canonical Maps. CoRR abs/2106.09758 (2021) - [i10]Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer:
Improving Deep Metric Learning by Divide and Conquer. CoRR abs/2109.04003 (2021) - 2020
- [c9]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: 743-752 - [c8]Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova:
Transferring Dense Pose to Proximal Animal Classes. CVPR 2020: 5232-5241 - [i9]Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova:
Transferring Dense Pose to Proximal Animal Classes. CoRR abs/2003.00080 (2020) - [i8]Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer:
A Content Transformation Block For Image Style Transfer. CoRR abs/2003.08407 (2020) - [i7]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 abs/2009.04776 (2020)
2010 – 2019
- 2019
- [c7]Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer:
Divide and Conquer the Embedding Space for Metric Learning. CVPR 2019: 471-480 - [c6]Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer:
A Content Transformation Block for Image Style Transfer. CVPR 2019: 10032-10041 - [c5]Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura:
Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks. GCPR 2019: 218-231 - [c4]Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer:
Content and Style Disentanglement for Artistic Style Transfer. ICCV 2019: 4421-4430 - [i6]Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura:
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks. CoRR abs/1904.04445 (2019) - [i5]Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer:
Divide and Conquer the Embedding Space for Metric Learning. CoRR abs/1906.05990 (2019) - 2018
- [j1]Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer:
Deep unsupervised learning of visual similarities. Pattern Recognit. 78: 331-343 (2018) - [c3]Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer:
A Style-Aware Content Loss for Real-Time HD Style Transfer. ECCV (8) 2018: 715-731 - [i4]Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer:
Deep Unsupervised Learning of Visual Similarities. CoRR abs/1802.08562 (2018) - [i3]Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer:
A Style-Aware Content Loss for Real-time HD Style Transfer. CoRR abs/1807.10201 (2018) - 2017
- [c2]Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer:
Deep Unsupervised Similarity Learning Using Partially Ordered Sets. CVPR 2017: 1923-1932 - [i2]Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer:
Deep Unsupervised Similarity Learning using Partially Ordered Sets. CoRR abs/1704.02268 (2017) - 2016
- [c1]Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Björn Ommer:
CliqueCNN: Deep Unsupervised Exemplar Learning. NIPS 2016: 3846-3854 - [i1]Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Sutter, Björn Ommer:
CliqueCNN: Deep Unsupervised Exemplar Learning. CoRR abs/1608.08792 (2016)
Coauthor Index
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last updated on 2024-10-04 19:55 CEST by the dblp team
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