CliqueCNN: Deep Unsupervised Exemplar Learning. - Miguel Ángel Bautista 001; Artsiom Sanakoyeu; Ekaterina Tikhoncheva; Björn Ommer (NIPS, 2016)

Deep Unsupervised Similarity Learning Using Partially Ordered Sets. - Miguel Ángel Bautista 001; Artsiom Sanakoyeu; Björn Ommer (CVPR, 2017)

A Style-Aware Content Loss for Real-Time HD Style Transfer. - Artsiom Sanakoyeu; Dmytro Kotovenko; Sabine Lang; Björn Ommer (ECCV (8), 2018)

Deep unsupervised learning of visual similarities. - Artsiom Sanakoyeu; Miguel Ángel Bautista 001; Björn Ommer (Pattern Recognit., 2018)

A Content Transformation Block for Image Style Transfer. - Dmytro Kotovenko; Artsiom Sanakoyeu; Pingchuan Ma 006; Sabine Lang; Björn Ommer (CVPR, 2019)

Divide and Conquer the Embedding Space for Metric Learning. - Artsiom Sanakoyeu; Vadim Tschernezki; Uta Büchler; Björn Ommer (CVPR, 2019)

Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks. - Yauhen Babakhin; Artsiom Sanakoyeu; Hirotoshi Kitamura (GCPR, 2019)

Content and Style Disentanglement for Artistic Style Transfer. - Dmytro Kotovenko; Artsiom Sanakoyeu; Sabine Lang; Björn Ommer (ICCV, 2019)

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 (3DV, 2020)

Transferring Dense Pose to Proximal Animal Classes. - Artsiom Sanakoyeu; Vasil Khalidov; Maureen S. McCarthy; Andrea Vedaldi; Natalia Neverova (CVPR, 2020)

Discovering Relationships Between Object Categories via Universal Canonical Maps. - Natalia Neverova; Artsiom Sanakoyeu; Patrick Labatut; David Novotný; Andrea Vedaldi (CVPR, 2021)

Visual Representation Learning with Limited Supervision. - Artsiom Sanakoyeu (2021)

VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids. - Albert Pumarola; Artsiom Sanakoyeu; Lior Yariv; Ali K. Thabet; Yaron Lipman (NeurIPS, 2022)

MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving. - Stepan Konev; Kirill Brodt; Artsiom Sanakoyeu (CoRR, 2022)

Improving Deep Metric Learning by Divide and Conquer. - Artsiom Sanakoyeu; Pingchuan Ma 006; Vadim Tschernezki; Björn Ommer (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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 (CVPR, 2023)

Re-ReND: Real-time Rendering of NeRFs across Devices. - Sara Rojas 001; Jesus Zarzar; Juan C. Pérez; Artsiom Sanakoyeu; Ali K. Thabet; Albert Pumarola; Bernard Ghanem (ICCV, 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 (ICCV (Workshops), 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 001; Daniel Cremers; et al. (CVPR, 2024)

StyleAvatar: Stylizing Animatable Head Avatars. - Juan C. Pérez; Thu Nguyen-Phuoc; Chen Cao 001; Artsiom Sanakoyeu; Tomas Simon; Pablo Arbeláez; Bernard Ghanem; Ali K. Thabet; Albert Pumarola (WACV, 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)

Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation. - Jonas Kohler; Albert Pumarola; Edgar Schönfeld; Artsiom Sanakoyeu; Roshan Sumbaly; Peter Vajda; Ali K. Thabet (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi 002; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

Using Motion Cues to Supervise Single-frame Body Pose & Shape Estimation in Low Data Regimes. - Andrey Davydov; Alexey Sidnev; Artsiom Sanakoyeu; Yuhua Chen; Mathieu Salzmann; Pascal Fua (Trans. Mach. Learn. Res., 2024)

FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute. - Sotiris Anagnostidis; Gregor Bachmann; Yeongmin Kim; Jonas Kohler; Markos Georgopoulos; Artsiom Sanakoyeu; Yuming Du; Albert Pumarola; Ali K. Thabet; Edgar Schönfeld (CVPR, 2025)

Autoregressive Distillation of Diffusion Transformers. - Yeongmin Kim; Sotiris Anagnostidis; Yuming Du; Edgar Schönfeld; Jonas Kohler; Markos Georgopoulos; Albert Pumarola; Ali K. Thabet; Artsiom Sanakoyeu (CVPR, 2025)

Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment. - Gregor Bachmann; Sotiris Anagnostidis; Albert Pumarola; Markos Georgopoulos; Artsiom Sanakoyeu; Yuming Du; Edgar Schönfeld; Ali K. Thabet; Jonas Kohler (ICLR, 2025)

XR-MBT: Multi-Modal Full Body Tracking for XR Through Self-Supervision with Learned Depth Point Cloud Registration. - Denys Rozumnyi; Nadine Bertsch; Othman Sbai; Filippo Arcadu; Yuhua Chen; Artsiom Sanakoyeu; Manoj Kumar; Catherine Herold; Robin Kips (WACV, 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)