Gopal Sharma
Gopal Sharma
University of British Columbia, Vancouver
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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
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
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
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
Neural shape parsers for constructive solid geometry
G Sharma, R Goyal, D Liu, E Kalogerakis, S Maji
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (5), 2628-2640, 2020
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
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
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
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
MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation
G Sharma, K Yin, S Maji, E Kalogerakis, O Litany, S Fidler
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
Representation Learning for Shape Decomposition, By Shape Decomposition
G Sharma
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