Gopal Sharma

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Diffusion Models

Top Venues

Publications

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 (2024)
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Unsupervised Semantic Correspondence Using Stable Diffusion. NeurIPS (2023)
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 (2023)
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Accelerating Neural Field Training via Soft Mining. CoRR (2023)
Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
Volumetric Rendering with Baked Quadrature Fields. CoRR (2023)
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Unsupervised Semantic Correspondence Using Stable Diffusion. CoRR (2023)
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 (2023)
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)
Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi
Attention Beats Concatenation for Conditioning Neural Fields. CoRR (2022)
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)
Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation. CoRR (2022)
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) (2022)
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) (2022)
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 (2021)
Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. CoRR (2020)
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)
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)
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 (2020)
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
Neural Shape Parsers for Constructive Solid Geometry. CoRR (2019)
Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. CoRR (2019)
Amirmohammad Rooshenas, Dongxu Zhang, Gopal Sharma, Andrew McCallum
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks. NeurIPS (2019)
Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. 3DV (2019)
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CVPR (2018)
Amirmohammad Rooshenas, Dongxu Zhang, Gopal Sharma, Andrew McCallum
Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks. CoRR (2018)
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CoRR (2017)
Matthias Mueller, Gopal Sharma, Neil Smith, Bernard Ghanem
Persistent Aerial Tracking system for UAVs. IROS (2016)
Sajal Maheshwari, Pranjal Kumar Rai, Gopal Sharma, Vineet Gandhi
Document blur detection using edge profile mining. ICVGIP (2016)