Selection of optimal methods for intelligent process monitoring. - Roman Shapovalov; James R. Whiteley (ISIC, 2003)

Cutting-Plane Training of Non-associative Markov Network for 3D Point Cloud Segmentation. - Roman Shapovalov; Alexander Velizhev (3DIMPVT, 2011)

Spatial Inference Machines. - Roman Shapovalov; Dmitry P. Vetrov; Pushmeet Kohli (CVPR, 2013)

Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions. - Roman Shapovalov; Dmitry P. Vetrov; Anton Osokin; Pushmeet Kohli (EMMCVPR, 2014)

Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction. - David Novotný; Roman Shapovalov; Andrea Vedaldi (NeurIPS, 2020)

Unsupervised Learning of 3D Object Categories From Videos in the Wild. - Philipp Henzler; Jeremy Reizenstein; Patrick Labatut; Roman Shapovalov; Tobias Ritschel 001; Andrea Vedaldi; David Novotný (CVPR, 2021)

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. - Jeremy Reizenstein; Roman Shapovalov; Philipp Henzler; Luca Sbordone; Patrick Labatut; David Novotný (ICCV, 2021)

DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. - Roman Shapovalov; David Novotný; Benjamin Graham; Patrick Labatut; Andrea Vedaldi (ICCV, 2021)

KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. - David Novotný; Ignacio Rocco; Samarth Sinha; Alexandre Carlier; Gael Kerchenbaum; Roman Shapovalov; Nikita Smetanin; Natalia Neverova; Benjamin Graham; Andrea Vedaldi (CVPR, 2022)

Novel-View Acoustic Synthesis. - Changan Chen; Alexander Richard; Roman Shapovalov; Vamsi Krishna Ithapu; Natalia Neverova; Kristen Grauman; Andrea Vedaldi (CVPR, 2023)

Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. - Samarth Sinha; Roman Shapovalov; Jeremy Reizenstein; Ignacio Rocco; Natalia Neverova; Andrea Vedaldi; David Novotný (CVPR, 2023)

Replay: Multi-modal Multi-view Acted Videos for Casual Holography. - Roman Shapovalov; Yanir Kleiman; Ignacio Rocco; David Novotný; Andrea Vedaldi; Changan Chen; Filippos Kokkinos; Benjamin Graham; Natalia Neverova (ICCV, 2023)

GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning. - Animesh Karnewar; Roman Shapovalov; Tom Monnier; Andrea Vedaldi; Niloy J. Mitra; David Novotný (ECCV (88), 2024)

Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials. - Yawar Siddiqui; Tom Monnier; Filippos Kokkinos; Mahendra Kariya; Yanir Kleiman; Emilien Garreau; Oran Gafni; Natalia Neverova; Andrea Vedaldi; Roman Shapovalov; David Novotný (NeurIPS, 2024)

Meta 3D Gen. - Raphael Bensadoun; Tom Monnier; Yanir Kleiman; Filippos Kokkinos; Yawar Siddiqui; Mahendra Kariya; Omri Harosh; Roman Shapovalov; Benjamin Graham; Emilien Garreau; Animesh Karnewar; Ang Cao; et al. (CoRR, 2024)

PartGen: Part-level 3D Generation and Reconstruction with Multi-view Diffusion Models. - Minghao Chen; Roman Shapovalov; Iro Laina; Tom Monnier; Jianyuan Wang; David Novotný; Andrea Vedaldi (CVPR, 2025)

UnCommon Objects in 3D. - Xingchen Liu; Piyush Tayal; Jianyuan Wang; Jesus Zarzar; Tom Monnier; Konstantinos Tertikas; Jiali Duan; Antoine Toisoul; Jason Y. Zhang 001; Natalia Neverova; Andrea Vedaldi; Roman Shapovalov; et al. (CVPR, 2025)

Twinner: Shining Light on Digital Twins in a Few Snaps. - Jesus Zarzar; Tom Monnier; Roman Shapovalov; Andrea Vedaldi; David Novotný (CVPR, 2025)

AutoPartGen: Autogressive 3D Part Generation and Discovery. - Minghao Chen; Jianyuan Wang; Roman Shapovalov; Tom Monnier; Hyunyoung Jung; Dilin Wang; Rakesh Ranjan; Iro Laina; Andrea Vedaldi (CoRR, 2025)