| 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 | 349 | 2017 |
| 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 | 323 | 2018 |
| 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 | 225 | 2017 |
| 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 | 161 | 2019 |
| 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 | 153 | 2018 |
| 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 | 52 | 2020 |
| 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 | 42 | 2019 |
| 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 | 33 | 2020 |
| 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 | 26 | 2022 |
| 3D shape generation using spatially ordered point clouds M Gadelha, S Maji, R Wang British machine vision conference (BMVC) 3, 2017 | 21* | 2017 |
| 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 | 15* | 2022 |
| Deep manifold prior M Gadelha, R Wang, S Maji Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 15 | 2021 |
| Anise: Assembly-based neural implicit surface reconstruction D Petrov, M Gadelha, R Mėch, E Kalogerakis IEEE Transactions on Visualization and Computer Graphics, 2023 | 13 | 2023 |
| 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 | 12 | 2024 |
| 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 | 9 | 2024 |
| 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 | 8 | 2024 |
| 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 | 6 | 2020 |
| Drink: Discrete robust invariant keypoints MA Gadelha, BM Carvalho 2014 22nd International Conference on Pattern Recognition, 821-826, 2014 | 6 | 2014 |
| 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 | 5 | 2021 |
| Gem3d: Generative medial abstractions for 3d shape synthesis D Petrov, P Goyal, V Thamizharasan, V Kim, M Gadelha, M Averkiou, ... ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024 | 4 | 2024 |
Subhransu MajiAssociate Professor, University of Massachusetts, AmherstVerified email at cs.umass.edu
