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Gopal Sharma
Gopal Sharma
University of British Columbia, Vancouver
No verified email - Homepage
Title
Cited by
Cited by
Year
CSGNet: Neural shape parser for constructive solid geometry
G Sharma, R Goyal, D Liu, E Kalogerakis, S Maji
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2172018
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
Sharma, L Gopal, E Difan, Kalogerakis, S Chaudhuri, R Měch
ECCV: European Conference on Computer Vision 16, 2020
1212020
Persistent aerial tracking system for UAVs
M Mueller, G Sharma, N Smith, B Ghanem
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
652016
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
Unsupervised semantic correspondence using stable diffusion
E Hedlin, G Sharma, S Mahajan, H Isack, A Kar, A Tagliasacchi, KM Yi
Advances in Neural Information Processing Systems 36, 2024
312024
Attention beats concatenation for conditioning neural fields
D Rebain, MJ Matthews, KM Yi, G Sharma, D Lagun, A Tagliasacchi
arXiv preprint arXiv:2209.10684, 2022
202022
Learning point embeddings from shape repositories for few-shot segmentation
G Sharma, E Kalogerakis, S Maji
2019 International Conference on 3D Vision (3DV), 67-75, 2019
132019
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation
G Sharma, B Dash, M Gadelha, A RoyChowdhury, M Loizou, ...
Computer Graphics Forum 41 (Issue 5), 39-50, 2022
12*2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation
G Sharma, K Yin, S Maji, E Kalogerakis, O Litany, S Fidler
European Conference on Computer Vision, 550-567, 2022
112022
Search-guided, lightly-supervised training of structured prediction energy networks
A Rooshenas, D Zhang, G Sharma, A McCallum
Advances in Neural Information Processing Systems 32, 2019
102019
Unsupervised keypoints from pretrained diffusion models
E Hedlin, G Sharma, S Mahajan, X He, H Isack, A Kar, H Rhodin, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
32024
PointNeRF++: A multi-scale, point-based Neural Radiance Field
W Sun, E Trulls, YC Tseng, S Sambandam, G Sharma, A Tagliasacchi, ...
arXiv preprint arXiv:2312.02362, 2023
22023
Accelerating Neural Field Training via Soft Mining
S Kheradmand, D Rebain, G Sharma, H Isack, A Kar, A Tagliasacchi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
3D Gaussian Splatting as Markov Chain Monte Carlo
S Kheradmand, D Rebain, G Sharma, W Sun, J Tseng, H Isack, A Kar, ...
arXiv preprint arXiv:2404.09591, 2024
2024
Volumetric Rendering with Baked Quadrature Fields
G Sharma, D Rebain, KM Yi, A Tagliasacchi
arXiv preprint arXiv:2312.02202, 2023
2023
Neural Shape Parsers for Constructive Solid Geometry
SM Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 44 (5), 2022
2022
Representation Learning for Shape Decomposition, By Shape Decomposition
G Sharma
2022
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Articles 1–17