Matheus Gadelha
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
1122017
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
832017
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
682018
A deeper look at 3D shape classifiers
JC Su, M Gadelha, R Wang, S Maji
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
372018
A bayesian perspective on the deep image prior
Z Cheng, M Gadelha, S Maji, D Sheldon
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
272019
3D shape generation using spatially ordered point clouds
M Gadelha, S Maji, R Wang
British Machine Vision Conference (BMVC) 3, 2017
72017
Shape reconstruction using differentiable projections and deep priors
M Gadelha, R Wang, S Maji
Proceedings of the IEEE International Conference on Computer Vision, 22-30, 2019
62019
Shape generation using spatially partitioned point clouds
M Gadelha, S Maji, R Wang
arXiv preprint arXiv:1707.06267, 2017
52017
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, ...
SBC Journal on Interactive Systems 3 (2), 37-46, 2012
32012
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
22020
Deep Manifold Prior
M Gadelha, R Wang, S Maji
arXiv preprint arXiv:2004.04242, 2020
12020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
M Gadelha, A RoyChowdhury, G Sharma, E Kalogerakis, L Cao, ...
arXiv preprint arXiv:2003.13834, 2020
2020
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
2020
Automatic Fuzzy Segmentation of Textural Images Using Adaptive Divergence Affinity Functions
JS Neto, W Leandro, M Gadelha, T Santos, BM Carvalho, E Garduņo
2019 International Conference on Systems, Signals and Image Processing …, 2019
2019
Texture Fuzzy Segmentation using Skew Divergence Adaptive Affinity Functions
JFS Neto, WPN Leandro, MA Gadelha, TS Santos, BM Carvalho, ...
arXiv preprint arXiv:1710.02754, 2017
2017
An augmented reality pipeline to create scenes with coherent illumination using textured cuboids
MA Gadelha
Universidade Federal do Rio Grande do Norte, 2014
2014
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Articles 1–17