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Matheus Gadelha
Matheus Gadelha
Adobe Research
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Title
Cited by
Cited by
Year
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
2052017
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
1922018
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
1502017
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
932019
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
902018
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
252019
Label-efficient learning on point clouds using approximate convex decompositions
M Gadelha, A RoyChowdhury, G Sharma, E Kalogerakis, L Cao, ...
European Conference on Computer Vision, 473-491, 2020
212020
3D shape generation using spatially ordered point clouds
M Gadelha, S Maji, R Wang
British machine vision conference (BMVC) 3, 2017
19*2017
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
152020
Deep manifold prior
M Gadelha, R Wang, S Maji
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
72021
DRINK: Discrete robust invariant keypoints
MA Gadelha, BM Carvalho
2014 22nd International Conference on Pattern Recognition, 821-826, 2014
42014
Inferring 3D shapes from image collections using adversarial networks
M Gadelha, A Rai, S Maji, R Wang
International Journal of Computer Vision 128 (10), 2651-2664, 2020
32020
A video-tracking based serious game for motor rehabilitation of post-stroke hand impairment
AMC Souza, MA Gadelha, EAG Coutinho, SR Santos, ALH Pantoja, ...
32012
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds
G Sharma, B Dash, M Gadelha, A RoyChowdhury, M Loizou, ...
arXiv preprint arXiv:2112.13942, 2021
22021
PRI FIT: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation
G Sharma, B Dash, A RoyChowdhury, M Gadelha, M Loizou, L Cao, ...
Eurographics Symposium on Geometry Processing 41 (5), 2022
12022
Leveraging Monocular Disparity Estimation for Single-View Reconstruction
MR de Chanlatte, M Gadelha, T Groueix, R Mech
arXiv preprint arXiv:2207.00182, 2022
2022
ANISE: Assembly-based Neural Implicit Surface rEconstruction
D Petrov, M Gadelha, R Mech, E Kalogerakis
arXiv preprint arXiv:2205.13682, 2022
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
2022
Generative Shape Creation and Editing
G Gori, T Boubekeur, R Mech, NA Carr, MA Gadelha, DC Aksit
US Patent App. 17/317,246, 2021
2021
Generative shape creation and editing
G Gori, T Boubekeur, R Mech, NA Carr, MA Gadelha, DC Aksit
US Patent 11,037,341, 2021
2021
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