Albert Matveev

11 papers A* 1Misc 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators.
CoRR
Albert Matveev, Sanmitra Ghosh, Aamal Hussain, James-Michael Leahy, Michalis Michaelides
2022 J jnl
DEF: deep estimation of sharp geometric features in 3D shapes.
ACM Trans. Graph.
Albert Matveev, Ruslan Rakhimov, Alexey Artemov, Gleb Bobrovskikh, Vage Egiazarian, Emil Bogomolov, Daniele Panozzo, Denis Zorin, Evgeny Burnaev
2021 — conf
3D Parametric Wireframe Extraction Based on Distance Fields.
AIPR
Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2021 J jnl
3D Parametric Wireframe Extraction Based on Distance Fields.
CoRR
Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2020 J jnl
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes.
CoRR
Albert Matveev, Alexey Artemov, Ruslan Rakhimov, Gleb Bobrovskikh, Daniele Panozzo, Denis Zorin, Evgeny Burnaev
2020 — conf
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds.
ANNPR
Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2020 J jnl
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds.
CoRR
Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2019 A* conf
ABC: A Big CAD Model Dataset for Geometric Deep Learning.
CVPR
Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
2019 Misc conf
Learning to Approximate Directional Fields Defined Over 2D Planes.
AIST
Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev
2019 J jnl
Learning to Approximate Directional Fields Defined over 2D Planes.
CoRR
Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev
2018 J jnl
ABC: A Big CAD Model Dataset For Geometric Deep Learning.
CoRR
Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo