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ORCIDGopal Sharma
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2020 – today
- 2024
[c12]Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Accelerating Neural Field Training via Soft Mining. CVPR 2024: 20071-20080- [c11]Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Keypoints from Pretrained Diffusion Models. CVPR 2024: 22820-22830 - [c10]Weiwei Sun
, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi:
PointNeRF++: A Multi-scale, Point-Based Neural Radiance Field. ECCV (38) 2024: 221-238 - [i15]Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Jeff Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
3D Gaussian Splatting as Markov Chain Monte Carlo. CoRR abs/2404.09591 (2024) - 2023
- [j3]Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi:
Attention Beats Concatenation for Conditioning Neural Fields. Trans. Mach. Learn. Res. 2023 (2023) - [c9]Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Semantic Correspondence Using Stable Diffusion. NeurIPS 2023 - [i14]Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Semantic Correspondence Using Stable Diffusion. CoRR abs/2305.15581 (2023) - [i13]Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Keypoints from Pretrained Diffusion Models. CoRR abs/2312.00065 (2023) - [i12]Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Accelerating Neural Field Training via Soft Mining. CoRR abs/2312.00075 (2023) - [i11]Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
Volumetric Rendering with Baked Quadrature Fields. CoRR abs/2312.02202 (2023) - [i10]Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi:
PointNeRF++: A multi-scale, point-based Neural Radiance Field. CoRR abs/2312.02362 (2023) - 2022
- [j2]Gopal Sharma, Bidya Dash, Aruni Roy Chowdhury, Matheus Gadelha, Marios Loizou, Liangliang Cao, Rui Wang, Erik G. Learned-Miller, Subhransu Maji, Evangelos Kalogerakis:
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. Comput. Graph. Forum 41(5): 39-50 (2022) - [j1]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
Neural Shape Parsers for Constructive Solid Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2628-2640 (2022) - [c8]Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation. ECCV (2) 2022: 550-567 - [i9]Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation. CoRR abs/2208.08580 (2022) - [i8]Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi:
Attention Beats Concatenation for Conditioning Neural Fields. CoRR abs/2209.10684 (2022) - 2021
- [i7]Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. CoRR abs/2112.13942 (2021) - 2020
- [c7]Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Mech:
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. ECCV (7) 2020: 261-276 - [c6]Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. ECCV (10) 2020: 473-491 - [i6]Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech:
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. CoRR abs/2003.12181 (2020) - [i5]Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. CoRR abs/2003.13834 (2020)
2010 – 2019
- 2019
- [c5]Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji:
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. 3DV 2019: 67-75 - [c4]Amirmohammad Rooshenas, Dongxu Zhang, Gopal Sharma, Andrew McCallum:
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks. NeurIPS 2019: 13522-13532 - [i4]Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji:
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. CoRR abs/1910.01269 (2019) - [i3]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
Neural Shape Parsers for Constructive Solid Geometry. CoRR abs/1912.11393 (2019) - 2018
- [c3]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CVPR 2018: 5515-5523 - [i2]Amirmohammad Rooshenas, Dongxu Zhang, Gopal Sharma, Andrew McCallum:
Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks. CoRR abs/1812.09603 (2018) - 2017
- [i1]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CoRR abs/1712.08290 (2017) - 2016
- [c2]Sajal Maheshwari, Pranjal Kumar Rai, Gopal Sharma, Vineet Gandhi:
Document blur detection using edge profile mining. ICVGIP 2016: 23:1-23:7 - [c1]Matthias Mueller, Gopal Sharma, Neil Smith, Bernard Ghanem:
Persistent Aerial Tracking system for UAVs. IROS 2016: 1562-1569
Coauthor Index
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