Document blur detection using edge profile mining. - Sajal Maheshwari; Pranjal Kumar Rai; Gopal Sharma; Vineet Gandhi (ICVGIP, 2016)

Persistent Aerial Tracking system for UAVs. - Matthias Mueller 001; Gopal Sharma; Neil Smith; Bernard Ghanem (IROS, 2016)

CSGNet: Neural Shape Parser for Constructive Solid Geometry. - Gopal Sharma; Rishabh Goyal; Difan Liu; Evangelos Kalogerakis; Subhransu Maji (CVPR, 2018)

Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. - Gopal Sharma; Evangelos Kalogerakis; Subhransu Maji (3DV, 2019)

Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks. - Amirmohammad Rooshenas; Dongxu Zhang; Gopal Sharma; Andrew McCallum (NeurIPS, 2019)

Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. - Matheus Gadelha; Aruni RoyChowdhury; Gopal Sharma; Evangelos Kalogerakis; Liangliang Cao; Erik G. Learned-Miller; Rui Wang 003; Subhransu Maji (ECCV (10), 2020)

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. - Gopal Sharma; Difan Liu; Subhransu Maji; Evangelos Kalogerakis; Siddhartha Chaudhuri; Radomír Mech (ECCV (7), 2020)

SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. - Gopal Sharma; Bidya Dash; Matheus Gadelha; Aruni RoyChowdhury; Marios Loizou; Evangelos Kalogerakis; Liangliang Cao; Erik G. Learned-Miller; Rui Wang 003; Subhransu Maji (CoRR, 2021)

MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation. - Gopal Sharma; Kangxue Yin; Subhransu Maji; Evangelos Kalogerakis; Or Litany; Sanja Fidler (ECCV (2), 2022)

PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. - Gopal Sharma; Bidya Dash; Aruni Roy Chowdhury; Matheus Gadelha; Marios Loizou; Liangliang Cao; Rui Wang 003; Erik G. Learned-Miller; Subhransu Maji; Evangelos Kalogerakis (Comput. Graph. Forum, 2022)

Neural Shape Parsers for Constructive Solid Geometry. - Gopal Sharma; Rishabh Goyal; Difan Liu; Evangelos Kalogerakis; Subhransu Maji (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Unsupervised Semantic Correspondence Using Stable Diffusion. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (NeurIPS, 2023)

Attention Beats Concatenation for Conditioning Neural Fields. - Daniel Rebain; Mark J. Matthews; Kwang Moo Yi; Gopal Sharma; Dmitry Lagun; Andrea Tagliasacchi (Trans. Mach. Learn. Res., 2023)

Unsupervised Keypoints from Pretrained Diffusion Models. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Xingzhe He; Hossam Isack; Abhishek Kar; Helge Rhodin; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2024)

Accelerating Neural Field Training via Soft Mining. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2024)

Volumetric Rendering with Baked Quadrature Fields. - Gopal Sharma; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (ECCV (63), 2024)

PointNeRF++: A Multi-scale, Point-Based Neural Radiance Field. - Weiwei Sun; Eduard Trulls; Yang-Che Tseng; Sneha Sambandam; Gopal Sharma; Andrea Tagliasacchi; Kwang Moo Yi (ECCV (38), 2024)

3D Gaussian Splatting as Markov Chain Monte Carlo. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Weiwei Sun; Yang-Che Tseng; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (NeurIPS, 2024)

3D Gaussian Splatting as Markov Chain Monte Carlo. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Weiwei Sun; Jeff Tseng; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (CoRR, 2024)