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Matheus Gadelha
Matheus Gadelha
Adobe Research
E-mailová adresa ověřena na: adobe.com - Domovská stránka
Název
Citace
Citace
Rok
3d shape induction from 2d views of multiple objects
M Gadelha, S Maji, R Wang
2017 International Conference on 3D Vision (3DV), 402-411, 2017
2552017
Multiresolution tree networks for 3d point cloud processing
M Gadelha, R Wang, S Maji
Proceedings of the European Conference on Computer Vision (ECCV), 103-118, 2018
2362018
3D shape reconstruction from sketches via multi-view convolutional networks
Z Lun, M Gadelha, E Kalogerakis, S Maji, R Wang
2017 International Conference on 3D Vision (3DV), 67-77, 2017
1852017
A bayesian perspective on the deep image prior
Z Cheng, M Gadelha, S Maji, D Sheldon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1112019
A deeper look at 3d shape classifiers
JC Su, M Gadelha, R Wang, S Maji
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
1102018
Label-efficient learning on point clouds using approximate convex decompositions
M Gadelha, A RoyChowdhury, G Sharma, E Kalogerakis, L Cao, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
332020
Shape reconstruction using differentiable projections and deep priors
M Gadelha, R Wang, S Maji
Proceedings of the IEEE/CVF International Conference on Computer Vision, 22-30, 2019
292019
Learning generative models of shape handles
M Gadelha, G Gori, D Ceylan, R Mech, N Carr, T Boubekeur, R Wang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
222020
3D shape generation using spatially ordered point clouds
M Gadelha, S Maji, R Wang
British machine vision conference (BMVC) 3, 2017
21*2017
Deep manifold prior
M Gadelha, R Wang, S Maji
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
92021
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation
G Sharma, B Dash, A RoyChowdhury, M Gadelha, M Loizou, L Cao, ...
Computer Graphics Forum 41 (5), 39-50, 2022
6*2022
PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos
Y Xie, M Gadelha, F Yang, X Zhou, H Jiang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
62022
Inferring 3D shapes from image collections using adversarial networks
M Gadelha, A Rai, S Maji, R Wang
International Journal of Computer Vision 128, 2651-2664, 2020
52020
DRINK: Discrete robust invariant keypoints
MA Gadelha, BM Carvalho
2014 22nd International Conference on Pattern Recognition, 821-826, 2014
42014
A video-tracking based serious game for motor rehabilitation of post-stroke hand impairment
AMC Souza, MA Gadelha, EAG Coutinho, SR dos Santos, ALH Pantoja, ...
Journal on Interactive Systems 3 (2), 2012
32012
Generative Shape Creation and Editing
G Gori, T Boubekeur, R Mech, NA Carr, MA Gadelha, DC Aksit
US Patent App. 17/317,246, 2021
12021
Reconstructing three-dimensional models of objects from real images based on depth information
MR de Chanlatte, R Mech, M Gadelha, T GROUEIX
US Patent App. 17/520,071, 2023
2023
ANISE: Assembly-based Neural Implicit Surface rEconstruction
D Petrov, M Gadelha, R Měch, E Kalogerakis
IEEE Transactions on Visualization and Computer Graphics, 2023
2023
Accidental Turntables: Learning 3D Pose by Watching Objects Turn
Z Cheng, M Gadelha, S Maji
arXiv preprint arXiv:2212.06300, 2022
2022
Leveraging Monocular Disparity Estimation for Single-View Reconstruction
MR de Chanlatte, M Gadelha, T Groueix, R Mech
arXiv preprint arXiv:2207.00182, 2022
2022
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Články 1–20