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Roman Shapovalov
Roman Shapovalov
engineer, Meta
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Cited by
Year
Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction
J Reizenstein, R Shapovalov, P Henzler, L Sbordone, P Labatut, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
3792021
Non-associative markov networks for 3D point cloud classification
R Shapovalov, A Velizhev, O Barinova
Photogrammetric Computer Vision and Image Analysis (PCV 2010) 38 (Part 3A …, 2010
1532010
Implicit shape models for object detection in 3D point clouds
A Velizhev, R Shapovalov, K Schindler
ISPRS Congress, 2012
872012
Unsupervised Learning of 3D Object Categories from Videos in the Wild
P Henzler, J Reizenstein, P Labatut, R Shapovalov, T Ritschel, A Vedaldi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
672021
Spatial Inference Machines
R Shapovalov, D Vetrov, P Kohli
IEEE Conference on Computer Vision and Pattern Recognition, 2013
492013
Cutting-plane training of non-associative Markov network for 3D point cloud segmentation
R Shapovalov, A Velizhev
International Conference on 3D Imaging, Modeling, Processing, Visualization …, 2011
49*2011
Novel-view acoustic synthesis
C Chen, A Richard, R Shapovalov, VK Ithapu, N Neverova, K Grauman, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
232023
Common pets in 3d: Dynamic new-view synthesis of real-life deformable categories
S Sinha, R Shapovalov, J Reizenstein, I Rocco, N Neverova, A Vedaldi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
112023
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos
D Novotny, I Rocco, S Sinha, A Carlier, G Kerchenbaum, R Shapovalov, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
92022
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction
D Novotny, R Shapovalov, A Vedaldi
Advances in Neural Information Processing Systems 33, 2020
92020
Online random forest for interactive image segmentation
O Barinova, R Shapovalov, S Sudakov, A Velizhev
International Workshop on Experimental Economics and Machine Learning, 2012
82012
Efficient road mapping via interactive image segmentation
O Barinova, R Shapovalov, S Sudakov, A Velizhev, A Konushin
3D City Models, Road Databases and Traffic Monitoring (CMRT 2009), 1-8, 2009
62009
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension
R Shapovalov, D Novotny, B Graham, P Labatut, A Vedaldi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
42021
Replay: Multi-modal Multi-view Acted Videos for Casual Holography
R Shapovalov, Y Kleiman, I Rocco, D Novotny, A Vedaldi, C Chen, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
Семантическая сегментация данных лазерного сканирования
Р Шаповалов, А Велижев, О Баринова, А Конушин
Программные продукты и системы, 47­-52, 2012
12012
Robust LIDAR data segmentation using compact point clusters
AB Velizhev, RV Shapovalov, D Potapov, L Tretiak, A Konushin
GraphiCon'2009, 241-244, 2009
12009
Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions
R Shapovalov, D Vetrov, A Osokin, P Kohli
Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th …, 2015
2015
Методы структурного обучения в задачах совместной разметки
РВ Шаповалов
Московский государственный университет имени М.В. Ломоносова, 2014
2014
Использование алгоритмов онлайн обучения при разработке системы семантической сегментации изображений
Р Шаповалов, О Баринова
Международный научный форум «Ломоносов-2009», 94, 2009
2009
Автоматическая сегментация облаков точек на основе элементов поверхности
A Velizhev, R Shapovalov, D Potapov, E Tretiak, A Konushin
GraphiCon, 241-245, 2009
2009
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Articles 1–20