Follow
Matheus Gadelha
Matheus Gadelha
Adobe Research
Verified email at adobe.com - Homepage
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
3272017
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
3032018
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
2172017
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
1502019
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
1422018
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
472020
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
392019
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
272020
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
212022
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
142021
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation
G Sharma, B Dash, A RoyChowdhury, M Gadelha, M Loizou, LL Cao, ...
Computer Graphics Forum 41 (5), 39-50, 2022
12*2022
Generative rendering: Controllable 4d-guided video generation with 2d diffusion models
S Cai, D Ceylan, M Gadelha, CHP Huang, TY Wang, G Wetzstein
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
62024
Anise: Assembly-based neural implicit surface reconstruction
D Petrov, M Gadelha, R Měch, E Kalogerakis
IEEE Transactions on Visualization and Computer Graphics, 2023
62023
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
62020
Drink: Discrete robust invariant keypoints
MA Gadelha, BM Carvalho
2014 22nd International Conference on Pattern Recognition, 821-826, 2014
62014
Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
K Pandey, P Guerrero, M Gadelha, Y Hold-Geoffroy, K Singh, NJ Mitra
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
52024
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
42012
Learning Continuous 3D Words for Text-to-Image Generation
TY Cheng, M Gadelha, T Groueix, M Fisher, R Mech, A Markham, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
32024
Trace match & merge: Long-term field-of-view prediction for ar applications
A Viola, S Sharma, P Bishnoi, M Gadelha, S Petrangeli, H Wang, ...
2021 IEEE International Conference on Artificial Intelligence and Virtual …, 2021
22021
The system can't perform the operation now. Try again later.
Articles 1–20